IEEE BigData 2023 Program Schedule
Sorrento, Italy
Conference time zone: Central European Standard TimeThe link to download the Bigdata 2023 conference proceedings for BigData23 and access theprerecorded videos is:https://events.rdmobile.com/Events/Details/17264
If you need the email login information to access the conference proceedings site, pls email
Stephen Woods swoods@computer.org,
Meeting Room
Sirene Foyer
L'AlbaOrione Speaker ready room
Auditorium Sirene
Ravello
Auditorium Ulisse
Auditorium Tritone
Nettuno 1
Nettuno 2
Nettuno 3
Nettuno 4
Nettuno 5
Nettuno 6
Capri
Amalfi
StampaPositano
Pompei
Boardroom 3
Boardroom 6
Boardroom 2
Boardroom 5
Boardroom 1
Boardroom 2
Boardroom 4

Floor
Floor C
Floor C
Floor C
Floor C
Floor A
Floor A
Floor A
Floor C
Floor C
Floor C
Floor C
Floor C
Floor C
Floor A
Floor A
Floor A
Floor A
Floor 2
Floor A
Floor A
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Sponsored by2

Table of Contents
IEEE Big Data 2023 Program Schedule

5

Main Conference Paper Sessions

17

Industry and Government Program Sessions

27

Workshops

33

4th International Workshop on User Understanding from Big Data

34

9th International Workshop on Methods to Improve Big Data Science Projects

35

The 6th International Workshop on Big Data Engineering and Analytics in Cyber-Physical Systems(BigEACPS’23)

35

7th International Workshop on Applications of Big Data Technology in the Transport Industry

35

Workshop 8th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream DataManagement in Big Data

36

The 7th Annual Workshop on Applications of Artificial Intelligence in the Legal Industry

37

3rd Workshop on Knowledge Graphs and Big Data

38

5th Financial Narrative Processing Workshop (FNP 2023)

38

Large-scale Data Utilization in Economics of Information and Management Sciences: Theory, Computation,
and Experiment
40
CyberHunt 2023

41

International Workshop on Big Data Analytics for Climate Change

42First International Workshop on Machine Learning for securing IoT systems using BigData

43

AI and Adaptive Computing for Edge Sensing and Processing

43

BigCyber – 2023

43

7th International Workshop on Big Data Analytics for Cyber Intelligence and Defense (BDA4CID)

45

2nd International Workshop on Big Data Analytics for Health and Medicine (BDA4HM)

46

3rd International Workshop on Big Data Analytics for Sustainability (BDA4S)

46

BigData Applications for Fights against Crime and Terrorism (DBA4FCT)

47

1st International Workshop on Dataspaces for Digital Twins of Cities Critical Infrastructures (DS4DTCCI) 48
LLM/FM 2023: From Theory to Practice: Workshop on Large Language and Foundation Models

48

IEEE Big Data Workshop on Multimodal Artificial Intelligence (MMAI 2023)

50

1st Workshop on AI Music Generation (AIMG 2023)

51
53

Special Session

9th Special Session on Information Granulation in Data Science and Scalable Computing in conjunction withBig Data Cup Session on
53
Object Recognition with Muon Tomography using Cosmic Rays

53

6th Special Session on HealthCare Data

54

3

Special Session 7: Understanding New Markets by Data Science, Social Science, and Economics

55

Special Session on Platform for DFFT (Data Free Flow with Trust)

56

Special Session on Social Cognitive Computing in Digital Education and Learning

56

2023 Special Session on Machine Learning on Big Data

57

2023 Special Session on Privacy and Security Big Data

60

9th Special Session on Intelligent Data Mining

61

Big Data Cup Challenges

65

Posters65

Floor Layout

70

Wi-Fi Network

72

4

IEEE Big Data 2023 Program Schedule
Sorrento, Italy
December 15 - December 18, 2023
Keynote Lecture: 60 minutes (about 45 minutes for talk and 15 minutes for Q and A)
Main conference regular paper: 25 minutes (about 20 minutes for talk and 5 minutes for Q and A)
Main conference short paper: 15 minutes (about 11 minutes for talk and 4 minutes for Q and A)
All conference activities take place in person at Sorrento, Italy.

Registration: Dec 14 15:00-18:00PM (Sirene Foyer)
Day 1: Friday, December 15, 2023
Time
7:15-17:00
10-10:20

Location
Sirene Foyer
Sirene Foyer

Workshops, Special Sessions, Tutorials, Big
Data Cup Challenges

Chair

Registration
Coffee Break

8:00-1:00PM

Ravello

The 5th Financial Narrative Processing Workshop(FNP 2023)

8:00-12:30

Auditorium Ulisse

7th International Workshop on Big Data Analytics
for Cyber Intelligence and Defense (BDA4CID)

8:00-12:30

Auditorium Tritone

BFNDMA 2023 (Big Food, Nutrition, andEnvironment Data Management and Analysis)

8:00-12:30

Nettuno 1

The Sixth Workshop on Big Data for Economic
and Business Forecasting5

Mo El-Haj, Mo ElHaj, Houda Bouamor,
Paul Rayson, Antonio
Moreno-Sandoval,
Dominique Mariko,Juyeon KANG,
Blanca Carbajo
Coronado, Ismail El
Maarouf, and Doaa
Samym.elhaj@lancaster.ac.
uk>Stephen McGough,Amir Atapour
Abarghouei, andDavid Wall<stephen.mcgough@newcastle.ac.uk>
Barbara Koroušić
Seljak, Tome Eftimov,Gjorgjina Cenikj,
Gordana Ispirova,
Jovana Dobreva, Riste
Stojanov, Giulia
Menichetti, Yunpeng
Li,
tome.eftimov@ijs.si
Wei Shang and Wei
xu,shangwei@amss.ac.cn

10:00_12:00

Nettuno 2

Tutorial: Robust Neural Networks: Explainability,
Uncertainty, and Intervenability"

8:00—12:30

Nettuno 3

The 3rd International Workshop on Multi-Modal
Medical Data Analysis (MMDA)

8:00—12:30

Nettuno 4

IEEE Workshop on Big Data Analytics in
Healthcare

8:00—12:30

Nettuno 5

KGBigData (The 3rd Workshop on Knowledge
Graphs and Big Data)

8:00-12:30

Nettuno 6

AI and Adaptive Computing for Edge Sensing andProcessing

8:00-12:30

Capri

1st International Workshop on Dataspaces for
Digital Twins of Cities Critical Infrastructures(DS4DTCCI)

8:00-14:30

Amalfi

From Theory to Practice: Workshop on Large
Language and Foundation Models

8:00-12:30

Stampa2023 IEEE BIGDATA Workshop on Data CentricAI

Yanjie Fu, Kunpeng
Liu, and Hui Xiong,yanjie.fu@ucf.edu

The Fourth International Workshop on Big Data
Reduction (IWBDR-4)

Kai Zhao, Sian Jin,
and Jieyang Chen,kzhao@uab.edu

8:00-12:30
Boardroom 6

6

Ghassan AlRegib andMohit Prabhushankar
Wendong Wang, Bo
Zhang, Ji Wu,
Xiangling Fu,
Nanfang Xu,
Zhenxiang Gao,
Zheng Song,
Xiuzhuang Zhou,
Zheng Zhang, Hui
Gao, Lingjun Zhang,
Yue Mi, Jingyun Wu,
Haiwen Huang, and
Wu Liu,zbo@bupt.edu.cn
Alex MH Kuo, Juan
C. Trujillo, Matteo
Mantovani, and Eliana
Pastor,akuo@uvic.ca
Yuan An, Jane
Greenberg, Alex
Kalinowski, and YuanLing,
ya45@drexel.edu
Michael Barton,
Virginia To, Venkat
Dasari, Brian
Panneton, and SimonSu,
michael.barton@parsons.comAntonella Longo andMarco Zappatore,
marcosalvatore.zappat
ore@unisalento.it
Dhaval Patel, Sameep
Mehta, Yikang Shen,
Carlos Costa,
BRADLEY ECK,
Cristiano Malossi,
KAOUTAR EL
MAGHRAOUI, Rafet
Sifa and Chandra
Ready,
pateldha@us.ibm.com

12:30-14:00
16:00-16:20

8:00 – 14:00

Lunch (at your own)
Sirene Foyer

Boardroom 3

Coffee Break9th Special Session on Information Granulation in
Data Science and Scalable Computing in
conjunction with Big Data Cup Session on Object
Recognition with Muon Tomography using
Cosmic Rays

14:00 – 18:30

Auditorium Ulisse

International Workshop on Data Engineering andModeling for AI (DEMAI)

14:00 – 18:30

Auditorium Tritone

2nd International Workshop on Big Data Analytics
for Health and Medicine (BDA4HM)

14:00 – 18:30

Nettuno 1

The Seventh Annual Workshop on Applications ofArtificial Intelligence in the Legal Industry

Dominik Ślęzak
<dominik.slezak@qed.pl>Carlos Ordonez andLadjel Bellatreche<carlos@Central.UH.
EDU>
Stephen McGough,Amir Atapour
Abarghouei, andMatthew Forshaw<stephen.mcgough@newcastle.ac.uk>
Han Qin, Jianping
Zhang, Nathaniel
Huber-Fliflet, Adam
Dabrowski, andJingchao Yang

The 7th Workshop on Graph Techniques for
Adversarial Activity Analytics (GTA3)
14:00-18:30

Onlinehttps://ucla.zoom.us/j/97386726115?pwd=YUhQb
itpeGdJV1hHcUNTSWxJMWZUZz09
Meeting ID: 973 8672 6115
Passcode: 827395

Jiejun Xu andHanghang Tong,
jxu@hrl.com

Georgios Stavropoulos
and Konstantinos
Votis,
stavrop@iti.gr
Sabri Skhiri, Albert
Bifet, and Alessandro
Margara,sabri.skhiri@euranova.eu

14:00-18:30

Nettuno 3

BigData Applications for Fight Against Crime andTerrorism (BDA4FCT)

14:00-18:30

Nettuno 5

8th Workshop on Real-time Stream Analytics,
Stream Mining, CER/CEP & Stream DataManagement in Big Data

14:00-18:30

Nettuno 6

9th International Workshop on Methods to
Improve Big Data Science Projects

Jeffrey Saltz,
jsaltz@syr.edu

14:00-16:00

Capri

Tutorial: Big Data Analytics in Fraud Detection
and Churn Prevention: from Prediction to Causal
Inference

Gianluca Bontempi

16:00-18:00

Amalfi

Tutorial: Data and Model Lifecycle Management
for Incremental Machine Learning Algorithms

Seshu Tirupathi and
Dhaval Salwala713:30:00-18:30

The 6th International Workshop on “Big Data
Engineering and Analytics in Cyber-Physical
Systems” (BigEACPS’23)
Join Zoom Meetinghttps://texastech.zoom.us/j/91739586385?pw
d=S296dkdWSHJ6MklEdmZ1SGFxeiswZz09

OnlineAkbar Namin,
akbar.namin@ttu.edu

Meeting ID: 917 3958 6385
Passcode: 163898
14:00-18:30

Boardroom 6

International Workshop on Big Data Analytics for
Climate Change

Praveen Kumar<praveen_2221cs11@
iitp.ac.in>

15:00-16:40

Boardroom 3

Industry & Government S1

Dominik Ślęzak

16:50-18:30

Boardroom 3

Industry & Government S2

Hosub Lee

The Third International Workshop on Data
Science for Equality, Inclusion, and Wellbeing
Challenges
14:00-18:00

Stampahttps://cnrs.zoom.us/j/97155970838?pwd=VWxp
M0dPckd2TFc0eFY3NmNRQ21SUT09
Passcode: Kjq50p

Tania Cerquitelli

Day 2: Saturday, December 16, 2023

Registration (Sirene Foyer)

8:00-17:00

Opening Ceremony
Conference Chairs: Alfredo Cuzzocrea (University of Calabria, Italy),Rakesh Agrawal (Data Insights Laboratories, USA)PC Chairs: Jingrui He (University of Illinois Urbana-Champaign, USA),
Themis Palpanas (Université Paris Cité, France),
Wei Wang (Hong Kong University of Science and Technology, China);
I&G Chairs: Dejing Dou (BCG X, China)
Dominik Slezak (QED Software , Poland)
Steering Committee Chair: Hu,Xiaohua Tony xh29@drexel.edu

8:40-9:15

Location: Auditorium Sirene

Keynote Speech 1
Stanford W. Ascherman Professor of Engineering (Emeritus), Jeffrey Ullman
Stanford University, USA
Big-Data Algorithms That Are Not Machine Learning
Chair: Alfredo Cuzzocrea
Location: Auditorium Sirene

9:15 -10:15

10:15-10:30

Sirene Foyer

Coffee Break8

10:00-12:30

Time

Sirene Foyer

Poster Setup

Location

Sessions/Workshops

10:30 – 12:30

Auditorium
UlisseS1: Computational Models I

10:30 – 12:30

Auditorium
TritoneS2: Machine Learning Algorithms I

10:30 – 12:30

Nettuno 1

S3: Deep Learning I

Session chair
Shiaofen Fang

Davide Tosi
Venkat Dasari

10:30 – 12:30

Nettuno 4

S4: Feature Representation Learning
Mahmoud ELBATTAH

10:30 – 12:30

Nettuno 2

S5: Mobility

10:30 – 12:30

Nettuno 6

S6: Time Series and SpatioTemporal

10:30 – 12:30

Nettuno 5

Industry & Government S3John Wu

10:30 – 12:30

Pompei

Tutorial: With Big Data Comes Big Compute: Scaling
Machine Learning onto Public and Commercial Clouds with
Kubernetes

Grant Scott and J. Alex
Hurt

9:00-16:30

CapriSpecial Session on Machine Learning on Big Data

Alfredo Cuzzocrea

8:00-19:00

Ravello

9th Special Session on Intelligent Data Mining

8:00-18:00

Nettuno 3

Workshop on Multimodal AI (MMAI 2023)

Mohit Prabhushankar
Savong Bou

Uraz Yavanoglu<urazyavanoglu@gmail.com>; <uraz@gazi.edu.tr>
Duoduo Liao,
dliao2@gmu.edu

Special Session on Social Cognitive Computing in Digital
Education and Learning,
9:00-18:00

9:00-18:00

Amalfi

Data-Driven Designation and Implementation of AutomatedGuided Vehicles

Boardroom 3

6th Special Session on HealthCare

8:30-12:30

Boardroom 6

Special Session: Understanding New Markets by Data
Science, Social Science, and Economics

10:30 – 12:30

StampaTutorial: Contrastive learning: Big Data Foundations andApplications

Ozgun PINARER<opinarer@gsu.edu.tr>
SULTAN N. TURHAN<sturhan@gsu.edu.tr>
Teruaki Hayashi<hayashi@sys.t.utokyo.ac.jp>
Sandhya Tripathi andChristopher R King

Lunch (provided by conference)
Location: L'Alba

12:30 – 14:00
14:00 – 16:00

Jerry Chun-Wei Lin<jerrylin@ieee.org>

Auditorium
UlisseS7: Computational Models II

9Pinar Karagoz

Auditorium
Tritone

S8: Machine Learning Algorithms II

14:00 – 16:00

Auditorium
SireneS9: Deep Learning II

14:00 – 16:00

Nettuno 4

S10: Dimension Reduction

14:00 – 16:00

Syed Attique Shah
Ravi Kaler

Michael Kirby
14:00 – 16:00

Nettuno 2

S11: Demographics and Society
Stefano Fiorini

14:00 – 16:00

14:00 – 16:00

14:00 – 16:00

Nettuno 6

Nettuno 5

S12: Software Techniques, Architectures, and Open
Platforms

Industry and Government S4

Dejing Dou
Ladjel Bellatreche,
Wojciech Macyna, andCarlos Ordonez<carlos@Central.UH.EDU>

Pompei

Tutorial: "Green Analytics"

14:00 – 18:00

StampaLarge-scale Data Utilization in Economics of Informationand Management Sciences: Theory, Computation, andExperiment

14:00 – 18:00

Boardroom 6

3rd International Workshop on Big Data Analytics for
Sustainability (BDA4S)

14:00 – 18:00

Nettuno 1

6th Workshop on Big Data for Cybersecurity (BigCyber2023)

14:00 – 18:00

Positano

BigData Cup Challenge Keystroke Verification Challenge(KVC)

14:00-18:30

Boardroom 2First International Workshop on Machine Learning for
securing IoT systems using BigData

16:00-16:30

Sirene Foyer

Coffee Break10

Shiva Jahangiri

Naoki Watanabe, Kazuhito
Ogawa, and Satoshi
Takahashi<naoki50@keio.jp>
Stephen McGough,Matthew Forshaw, Gavin
Shaddick, and Leye Wang
<stephen.mcgough@newc
astle.ac.uk>
Karuna Pande Joshi, Sudip
Mittal, Rajeev Agrawal,
and Lavanya Elluri,
kjoshi1@umbc.edu
Giuseppe Stragapede
giuseppe.stragapede@uam.es,Ruben Vera Rodriguez<ruben.vera@uam.es>;
Ruben Tolosana
Moranchelruben.tolosana@uam.eszoumbatianos@gmail.com
Cristian Bucur, Cristian
Balan, and Zareef
Mohammed,
bucurc@gmail.com

16:00-16:30

Sirene Foyer

Poster Diaplsy

Keynote Speech 2
16:30 – 17:30

Professor, Minos Garofalakis
Technical University of Crete, Greece
Have your data and share it too: Private data analytics at scale
Chair: Alfredo Cuzzocrea
Location: Auditorium Sirene

IEEEDataPort
Melissa Handa
Senior Program Manager

17:30-17:50

Learn about IEEE's comprehensive data platform that enables all researchers to efficiently store, share,access, and manage research data, accelerating their research efforts. It is free for any user to publish up to
2TB of data on the platform and get a free DOI.
Chair: Xiaohua Hu
Location: Auditorium Sirene

Day 3: Sunday, December 17, 2023
11

Registration (Sirene Foyer)

8:30-17:00

Keynote Speech 3
Professor, Qiong Luo
HKUST and HKUST (Guangzhou), China
GPU Acceleration for Data Processing and Analytics
Chair: Dejing Dou
Location: Auditorium Sirene

9:00 – 10: 00

10: 00-10:30
10: 00-10:30

Time

Sirene Foyer

Coffee Break

Sirene Foyer

Location

Poster Display
Sessions/Workshops

Auditorium
Ulisse

S13: Computational Models III

10:30 – 12:30

Auditorium
Tritone

S14: Machine Learning Algorithms III

10:30 – 12:30

Nettuno 1

S15: Deep Learning IV

10:30 – 12:30

Session chair

Grazziela FigueredoAlex Shtoff

Roberto Corizzo
10:30 – 12:30

Nettuno 4

S16: Physics Informed Learning and Visualization
Hasan Kurban

10:30 – 12:30

Nettuno 2

S17: Vision and Visualization
Lindi Liao

10:30 – 12:30

Nettuno 6

S18: Recommendations Systems and Web Mining
Toyotaro Suzumura

10:30 – 12:30

8:30 – 12:30

Nettuno 5

Industry and Government S5Luca Cagliero

Boardroom 3

4th International Workshop on User Understanding fromBig Data
Google Meet joining info
Video call link: https://meet.google.com/okb-ttbj-uhj
Or dial: (US) +1 402-207-0877 PIN: 765 682 100#More phone numbers: https://tel.meet/okb-ttbjuhj?pin=8686099287278

Claire Ding and WutaiWei,weiwutao@gmail.com
Vijaypal Singh Dhaka,
Geeta Rani, Eugenio
Vocaturo, and Ester
Zumpano,eugenio.vocaturo@cnr.it
John Easton and Joseph
Preece,j.m.easton@bham.ac.uk

Ravello

AIDA (AI-Driven Agriculture: opportunities andchallenges)

Pompei7th International Workshop on Applications of Big Data
Technology in the Transport Industry

9:30-16:30

CapriSpecial Session on Privacy and Security Big Data

Alfredo Cuzzocrea

9:00-16:30

StampaSpecial Session on Machine Learning on Big Data

Alfredo Cuzzocrea

8:30-12:30

8:30 – 12:30

129:00-18:30

Boardroom 6

Computational Archival Science: digital records in theage of big data

8:30-12:30

Amalfi

AI-Powered Renewable Energy Forecasting; Techniquesand Challenges (hybrid)Workshop on Cyber Threat Intelligence and Hunting(CyberHunt 2023)
10:00-18:00

Positano

9:00-12:00

Nettuno 3

6th Special Session on HealthCare

Online11th International Workshop on Distributed Storage andBlockchain Technologies for Big Data
#VooV/Tencent Meeting ID：170-332-263

8:00-13:00

Link to join the workshop: https://meet.google.com/zpnzgbo-wdv

14:00 – 16:00

Hui Li, Hanxu Hou andHan Wang

Lunch (Provided by the conference)
Location: L'Alba)

12:30 – 14:00
14:00 – 16:00

Mark Hedges, Richard
Marciano, Victoria
Lemieux,
mark.hedges@kcl.ac.uk
Luciano Caroprese,
Sergio Montelpare,
Mariano Pierantozzi, andEster Zumpano,luciano.caroprese@unich.it
Vasileios Mavroeidis,
University of Oslo,vasileim@ifi.uio.no |Tamas Bisztray,
University of Oslo,
Manos Athanatos(TUC),<tamasbi@ifi.uio.no>
Ozgun PINARER<opinarer@gsu.edu.tr>
SULTAN N. TURHAN<sturhan@gsu.edu.tr>

Auditorium
UlisseAuditorium
Tritone

S19: Predictive Analytics on Big Data
S20: Deep Learning V

Saeed Samet
Ravi Kaler

14:00 – 16:00

Nettuno 1

S21: Data Ecosystem Basics and Vulnerabilities

Craig Knoblock

14:00 – 16:00

Nettuno 4

S22: Trustworthiness, Resilience, Privacy, and Security

Dolores Ordóñez

14:00 – 16:00

Nettuno 2

S23: Fake Information, Personality, and Semantic
Understanding

14:00 – 16:00

Nettuno 6

S24: Algorithms and Systems for Big Data Search

14:00 – 16:00

Nettuno 5

Industry and Government S6

Ovidiu-Cristian Marcu

Boardroom 3

Workshop: International Workshop on Data-driven
Science for Graphs: Algorithms, Architectures, andApplication

Jinli Zhang, Xuemin Lin,and Yongduan Song,lz73798@gmail.com
Noboru Koshizuka<noboru@koshizukalab.org>
Callie Liao and Lindi
Liao,
cliao2025@gmail.com

14:00 – 18:00
14:00—16:00

Nettuno 3

Special Session on Platform for DFFT (Data Free Flowwith Trust)

14:00-18:00

Ravello

1st Workshop on AI Music Generation (AIMG 2023)

16: 00-16:30

Sirene Foyer

Coffee Break13

Mo El-Haj
Jagdev Bhogal

16: 00-16:30

Sirene Foyer

Poster Diaplay

Keynote Speech 4
16:30 – 17:30

Regents Professor and William Norris Chair in Large Scale Computing, Vipin Kumar
University of Minnesota, USA
Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery
and Addressing Global Environmental Challenges
Chair: Xiaohua Tony Hu
Location: Auditorium Sirene

Banquet18:00-21:00

Award CeremonySocial Program
Location: L'Alba

14

Day 4: Monday, December 18, 2023

Registration (Sirene Foyer)
Keynote Speech 5

8:30-12:00

Professor, Stratos Idreos
Harvard University, USA
The Data Systems Grammar: Self-designing Systems for the era of AI
Chair: Dominik Slezak
Location: Auditorium Sirene

9:00 - 10: 00

10:00 – 10:30
10:00 – 10:30
Time
10:30 – 12:30
10:30 – 12:30
10:30 – 12:30

Sirene Foyer

Coffee Break

Sirene Foyer

Location
Auditorium
UlisseAuditorium
TritonePoster Display
Sessions/Workshops
S25: Machine Learning Algorithms IV
S26: Privacy Preserving Analytics

Session chair
David Anastasiu
Gautam Srivastava

Nettuno 1

S27: Deep Learning III

Grant Scott

10:30 – 12:30

Nettuno 4

S28: Data Preprocessing, Data Cleaning, and Data
Integration

Jinli Zhang

10:30 – 12:30

Nettuno 2

S29: Cloud/Grid/Stream Computing

Yusuke Tanimura

10:30 – 12:30

Nettuno 6

S30: Link and Graph Mining

Saptarshi Sengupta

10:30 – 12:30

Nettuno 5

Industry and Government S7

Dominik Ślęzak

Capri

Special Session on Privacy and Security Big Data

Alfredo Cuzzocrea

Pompei8th Workshop on Advances in High Dimensional(AdHD) Big Data

Aristidis Vrahatis, Sotiris Tasoulis,
Nicos Pavlidis,
aris.vrahatis@gmail.com

9:30-16:30
9:00-18:00

Lunch (provided by the Conference)
Location: L'Alba
Poster Display ()12:30 – 14:00
14:00 – 16;00
14:00 – 16;00
14:00 – 16;00

Auditorium
UlisseAuditorium
TritoneS31: Machine Learning Algorithms V
S32: Deep Learning VI

Nettuno 1

S33: Deep Learning VII

14:00 – 16;00

Nettuno 4

S34: Recommendation Systems and Social Media
Systems

14:00 – 16;00

Nettuno 2

S35: High Performance/Parallel Computing Platforms

14:00 – 16;00

Nettuno 6

14:00 – 16;00

Nettuno 5
Sirene Foyer

16:00 - 16: 30

Charalampos Chelmis

S36: Semantic-based Data Mining and Mining of
Scientific Data
Industry and Government S8
Coffee Break

15

Luca Cagliero
Grant Scott

Abdelmounaam Rezgui
Ovidiu MarcuJohn Easton
Dejing Dou

16

Main Conference Paper Sessions
S1: Computational Models I
BigD477 "Solving Tensor Low Cycle Rank Approximation" (Regular)
BigD486 "Mitigating Confounding and Selection Biases in Personalized
Recommendation: A Causal Approach" (Regular)
BigD453 "Vision Paper: Hyperspectral Analysis of Finger Skin for Inherently
Resilient and Fair Biometric Systems" (Short)
BigD599 "Fused Matrix K-means: A Fast K-means Optimization Approach"(Short)BigD722 "Verifying Relational Explanations: A Probabilistic Approach" (Short),
Video
BigD754 "Big Data Management System Architectures: From Opportunities to
Challenges [Vision]" (Short) VIDEO

Yichuan Deng, Yeqi Gao, and ZhaoSong
Wen Huang, Jingbo Zhou, Xintao Wu,
and Dejing Dou
Emanuela Marasco
Zizhong Chen, Kaiming Ouyang, andVincent Tran
Abisha Thapa Magar, Anup Shakya,
Somdeb Sarkhel, and Deepak
Venugopal
Radhika Joshi, Calvin Dani, and Shiva
Jahangiri

S2: Machine Learning Algorithms I
BigD640 "RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer
for Unlimited-Range Traffic Incident Impact Prediction" (Regular)
BigD229 "Tripletformer for Probabilistic Interpolation of Irregularly sampled
Time Series" (Regular)
BigD329 "Interpretable Sock Puppet Attribution" (Regular)
BigD297 "Quantitatively Evaluating the Validity of Contrastive Generators for
Recourse" (Short)
BigD350 "A Robust Classifier under Missing-Not-at-Random Sample Selection
Bias" (Short)

Yanshen Sun, Kaiqun Fu, and ChangTien Lu
Vijaya Krishna Yalavarthi, Johannes
Burchert, and Lars Schmidt-ThiemeChun Wei Seah, Chia-Yu Hung,
Zhiqiang Hu, Yujia Hu, Hai Leong
Chieu, and Roy Ka-Wei Lee
Ian Howell, Eleanor Quint, andHongfeng Yu
Huy Mai, Wen Huang, Wei Du, andXintao Wu

S3: Deep Learning I
BigD281 "Document-Level Event Argument Extraction Based on Bidirectional
Span Detection" (Regular)
BigD326 "Ultra-wide Band Positioning with Signal Interference based on TwoStream Residual Network" (Regular)
BigD337 "IIP-Transformer: Intra-Inter-Part Transformer for Skeleton-BasedAction Recognition" (Regular) VIDEO
BigD251 "Optimal Sampling for Moving Object Trajectory Tracking in Smart
Transportation Systems: A Transformer-based Approach" (Short)
BigD280 "Deep Learning for Spatiotemporal Big Data: Opportunities andChallenges [Vision Paper]" (Short)
BigD287 "Self-Supervision for Tackling Unsupervised Anomaly Detection:
Pitfalls and Opportunities [Vision Paper]" (Short)

Yong Zhang, Feng Xiong, and Kai
Zhang
Xueming Xu, Ruirui Zhao, and Jichao
Li
Qingtian Wang, Shuze Shi, Jiabin He,
Jianlin Peng, Tingxi Liu, and Renliang
Weng
Usman Musa, Yifan Guo, Cheng Qian,
and Wei Yu
Zhe Jiang
Leman Akoglu and Jaemin Yoo

S4: Feature Representation Learning
BigD311 "OrthoNets: Orthogonal Channel Attention Networks" (Regular)
BigD335 "Unvisited Out-Of-Town POI Recommendation with Simultaneous
Learning of Multiple Regions" (Regular)
BigD346 "SST: Semantic and Structural Transformers for Hierarchy-aware
Language Models in E-commerce" (Regular)

17

Hadi Salman, Caleb Parks, Matthew
Swan, and John Gauch
Rikuto Tsubouchi, Takahiro Hara, Kei
Yonekawa, and Shuichiro Haruta
Karan Samel, Houyu Zhang, Jun Ma,
Haoming Jiang, Qing Ping, Sheng
Wang, Yi Xu, Belinda Zeng, andTrishul Chilimbi

BigD489 "Spatial-Temporal Dynamic Graph Diffusion Convolutional Network for
Traffic Flow Forecasting" (Regular)
BigD697 "Spatial-Temporal Flow Holistic Interaction Graph Convolution
Network for Bidirectional Traffic Flow Forecasting" (Short)

Yang LI and Yaying ZHANG
Canyang ZHANG, Qi ZHENG, andYaying ZHANG

S5: Mobility
BigD745 "On-Street Parking Prediction: A Comparative Study" (Regular)
BigD774 "M2-CNN: A Macro-Micro Model for Taxi Demand Prediction"(Regular)
BigD231 "ATADA: Adaptive Time Aware Anomaly Detection Approach forReal-Time Intelligent Transportation Systems" (Short)
BigD331 "MobiSpaces: An Architecture for Energy-Efficient Data Spaces for
Mobility Data" (Short)

BigD524 "A Big Data Approach to Augmenting the Huff Model with Road
Network and Mobility Data for Store Footfall Prediction" (Short)
BigD367 "SASTDGCN: Self-Attention Based Spatial-Temporal Double Graph
Convolutional Networks for Traffic Flow Forecasting" (Short)

Stefano Fiorini, Michele Ciavotta, Carlo
Liberto, and Gaetano Valenti
Shih-Fen Cheng and Prabod Rathnayaka
Ke Zhang, Hengchang Liu, and Siobhan
ClarkeChristos Doulkeridis, Georgios
Santipantakis, Nikolaos Koutroumanis,
George Makridis, Vasilis Koukos,
George Theodoropoulos, Yannis
Theodoridis, Dimosthenis Kyriazis,
Pavlos Kranas, Diego Burgos, Ricardo
Jimenez-Peris, Mariana Duarte,
Mahmoud Sakr, Esteban Zimanyi, Anita
Graser, Clemens Heistracher, Kristian
Torp, Ioannis Chrysakis, Theofanis
Orphanoudakis, Evgenia Kapassa,
Marios Touloupou, Juergen Neises,
Petros Petrou, Sophia Karagiorgou,
Rosario Catelli, Domenico Messina,
Marcelo Corrales Compagnucci, andMatteo Falsetta
Ming Hui Tan, Kar Way Tan, andHoong Chuin Lau
Jingjia Wan and Yu Wu

S6: Time Series and SpatioTemporal
BigD427 "Finformer: A Static-dynamic Spatiotemporal Framework for Stock
Trend Prediction" (Regular)
BigD704 "Circular Arc Length-Based Kernel Matrix For Protein Sequence
Classification" (Regular)
BigD228 "Tabular Data to Image Generation: Benchmark Data, Approaches, andEvaluation [Vision Paper]" (Short)
BigD594 "Interpretable Solar Flare Prediction with Sliding Window Multivariate
Time Series Forests" (Short) Video
BigD576 "A Novel Approach for Deep Learning-Powered Forecasting of Market
Bottoms in Cryptocurrency and Stock Trading" (Short)
BigD291 "aQua: A Framework for Spatiotemporal Analysis and Visualizations of
Water Quality Data at Scale" (Short)

Yi Zu, Jiacong Mi, Lingning Song, Shan
Lu, and Jieyue He
Taslim Murad, Sarwan Ali, Prakash
Chourasia, Haris Mansoor, and Murray
Patterson
Alex Tang, Gromit Chan, Ryan Rossi,
Chang Xiao, and Eunyee Koh
Anli Ji and Berkay Aydin
Dulaj Dasanayake, Yasindu Dilshan,
Kavishka Rathnaweera, Sapumal
Ahangama, and Indika Perera
Matthew Young, Sangmi Pallickara, andShrideep Pallickara

S7: Computational Models II
BigD284 "Dynamic Mining Interval to Improve Blockchain Throughput"(Regular)
BigD288 "CoMABO: Covariance Matrix Adaptation for Bayesian Optimization"(Regular, Video)
BigD371 "Efficiently Mining Frequent Representative Motifs in Large Collectionsof Time Series" (Regular)

18

Hou-Wan Long, Xiongfei Zhao, andYain-Whar Si
Hsiang-Yu Ku and Che-Rung Lee
Stijn Rotman, Boris Cule, and Len
Feremans

BigD401 "Subspace Interpolation and Indexing on Stiefel and Grassmann
Manifolds as a Lightweight Inference Engine" (Regular)
BigD321 "Fast Heavy Inner Product Identification Between Weights and Inputs in
Neural Network Training" (Short)

Wenqing Hu, Tiefeng Jiang, Birendra
Kathariya, Vikram Abrol, Jiali Zhang,
and Zhu Li
Lianke Qin, Saayan Mitra, Zhao Song,
Yuanyuan Yang, and Tianyi Zhou

S8: Machine Learning Algorithms II
BigD459 "GNN-Ensemble: Towards Random Decision Graph Neural Networks"(Regular)
BigD476 "Leveraging Large Language Models for Structure Learning in Prompted
Weak Supervision" (Regular) Video
BigD512 "Integrating Staleness and Shapley Value Consistency for Efficient KAsynchronous Federated Learning" (Regular)
BigD525 "An Adaptive Hierarchical Method for Anytime Set-wise Clustering of
Variable and High-Speed Data Streams" (Regular)
BigD579 "Exploring Dementia Risk in Cardiovascular Patients Through AIEnabled Big Data Analysis" (Short)
BigD439 "Drift-aware Anomaly Detection for Non-stationary Time Series" (Short)
VIDEO

Wenqi Wei, Mu Qiao, and Divyesh
Jadav
Jinyan Su, Peilin Yu, Jieyu Zhang, andStephen BachYuhui Jiang, Xingjian Lu, Wei Mao,and Ying Lin
Aarti ., Jagat Sesh Challa, Utkarsh
Darolia, Mridul Chandak, Navneet
Goyal, and Poonam Goyal
Shreya Iyer, Grazziela Figueredo,
Blossom Stephan, Jacob Brain, Mario
Siervo, Nadeem Qureshi, Ralph Kwame
Akyea, and Stephen Kaptoge
Yang Gao, Ying Li, Yang Li, Zunlei
Feng, Mingli Song, Xinyu Wang, andChun Chen

S9: Deep Learning II
BigD355 "Label Freedom: Stable Diffusion for Remote Sensing Image Semantic
Segmentation Data Generation" (Regular)
BigD424 "Shrinkage Denoising and Sequential State Extraction Model for
Vibration Event Recognition" (Regular)
BigD426 "Improving Knowledge Distillation for Federated Learning on Non-IID
Data" (Regular)
BigD315 "LogGPT: Log Anomaly Detection via GPT" (Short)
BigD365 "Humor Level Recognition Based on Prompt Learning and Contrastive
Learning" (Short)
BigD380 "Transferring Lottery Tickets in Computer Vision Models: a Dynamic
Pruning Approach" (Short)

Chenbo Zhao, Yoshiki Ogawa,
Shenglong Chen, Zhehui Yang, andYoshihide Sekimoto
Wanchang Jiang and Yuxin Jiang
Zongyi Chen, Sanchuan Guo, Liyan
Shen, Xi Zhang, and Zhuonan Chang
Xiao Han, Shuhan Yuan, and Mohamed
Trabelsi
Shaowu Zhang, Xijun Cui, Tongyue
Zhang, Hongfei Lin, and Liang Yang
Qisheng He and Ming Dong

S10: Dimension Reduction
BigD546 "A novel training mechanism for health indicator construction andremaining useful lifetime (RUL) prediction" (Regular)
BigD572 "WellFactor: Patient Profiling using Integrative Embedding of
Healthcare Data" (Regular)
BigD351 "CTT: Causally Informed Tensor Train Decomposition" (Short)
BigD711 "Federated Learning for Sparse Principal Component" (Short)
BigD740 "RAxC: Reflexivity-based Approximate Computing techniques for
efficient remote sensing" (Short)

Hanbyeol Park, Dohee Kim, Minseop
Kim, Mingyu Park, Hyerim Bae, andYunkyung Park
Dongjin Choi, Andy Xiang, Ozgur
Ozturk, Deep Shrestha, Barry Drake,
Hamid Haidarian, Faizan Javed, andHaesun Park
Mao-Lin Li, K. Selçuk Candan, andMaria Luisa Sapino
Sin Cheng Ciou, Pin Jui Chen, Elvin Y.
Tseng, and Yuh-Jye Lee
Aaditi Kapre, Shruti Kunde, SparshMittal, and Rekha Singhal

S11: Demographics and Society
BigD412 "Combining Demographic Tabular Data with BERT Outputs forMultilabel Text Classification in Higher Education Survey Data" (Regular)

19

Kevin Chovanec, John Fields, andPraveen Madiraju

BigD715 "DRLO: Deep Representation Learning for Large Scale Off-track
Satellite Remote Sensing Data" (Regular)
BigD484 "Fine-Grained Urban Population Distribution Estimation Using Image
Super-Resolution Model with Rich Auxiliary Information [Vision Paper]" (Short)
BigD316 "[Vision Paper] Zero-shot Learning with Minimum Instruction to Extract
Social Determinants and Family History from Clinical Notes using GPT Model"(Short)BigD664 "A Hybrid Method of Sentiment Analysis and Machine Learning
Algorithm for the U.S. Presidential Election Forecasting" (Short) Video
BigD646 "An Interactive Framework of Balancing Evaluation Cost and Prediction
Accuracy for Knowledge Tracing" (Short) VideoXin Huang, Chenxi Wang, Wenbin
Zhang, Sanjay Purushotham, and Jianwu
Wang
Naoto Takeda, Akihiro Kobayashi,
Yudai Yamazaki, and Daisuke
Kamisaka
Neel Jitesh Bhate, Ansh Mittal, Zhe He,
and Xiao Luo
Guocheng Feng, Kaihao Chen, Huaiyu
Cai, and Zhijian Li
Weili Sun, Boyu Gao, Jiahao Chen, andShuyan Huang

S12: Software Techniques, Architectures, and Open Platforms
BigD666 "User-guided Page Merging for Memory Deduplication in Serverless
Systems" (Regular)
BigD617 "Towards Open World Event Processing (Vision Paper)" (Short)
BigD609 "Foundational Data Space Models: Bridging the AI and Data Ecosystems[Vision Paper]" (Short)
BigD580 "Performance of Null Handling in Array Databases" (Short)
BigD687 "Accelerating Multilingual Applications with In-memory Array Sharing"(Short)Wei Qiu, Marcin Copik, Yun Wang,
Alexandru Calotoiu, and Torsten
Hoefler
Edward Curry
Edward Curry, Tarek Zaarour, Rafiqul
Haque, Mohan Timilsina, and Majjed
Al-qatf
Dimitar Mišev, Mikhail Rodionychev,
and Peter Baumann
Masanobu Nozawa, Satoshi Imamura,and Kenji Kon

S13: Computational Models III
BigD408 "Compact Boundary Matrix from a Polytopal Complex for Computing
Persistent Homology" (Regular)
BigD466 "Online Adaptive Mahalanobis Distance Estimation" (Regular)
BigD518 "Time-varying QoS Estimation via Non-negative Latent Factorization of
Tensors with Extended Linear Biases" (Regular)
BigD294 "Ocean Data Quality Assessment through Outlier Detection-enhanced
Active Learning" (Short)
BigD633 "Quality Ranking for Synthetically Generated Images" (Short)

Rohit Singh and Philip Wilsey
Lianke Qin, Aravind Reddy, and Zhao
Song
Xiuqin Xu, Mingwei Lin, Wenqiang Li,
Jianpeng Zhang, and Hao Wu
Na Li, Yiyang Qi, Ruyue Xin, andZhiming Zhao
Bahadır Bilgin, Ali Sekmen, and Guy
Sereff

S14: Machine Learning Algorithms III
BigD529 "RSP-gcForest: A Distributed Deep Forest via Random Sampling
Partition" (Regular)
BigD543 "Unveiling the Road Matrix: Development of Versatile Pavement
Surface Models from Low-resolution Aerial Images" (Regular)
BigD703 "Feature Selection on Big Data using Masked Sparse Bottleneck
Centroid-Encode" (Regular)
BigD712 "Scalable Homology Classification through Decomposed Euler
Characteristic Curves" (Regular)Mark Junjie Li, Wenzhu Cai, Yigang
Lin, Sunjie Huang, and Patrick
Xiaogang Peng
Ling-feng Liao, Deeksha Arya, andYoshihide Sekim
Tomojit Ghosh and Michael Kirby
Nicholas Malott and Philip Wilsey

S15: Deep Learning IV
BigD534 "Hybrid Loss for Hierarchical Multi–label Classification Network"(Regular)
BigD555 "Striking a Balance in Fairness for Dynamic Systems ThroughReinforcement Learning" (Regular)

20

Wenting Qi and Charalampos Chelmis
Yaowei Hu, Jacob Lear, and Lu Zhang

BigD556 "Multi-Instance Bias Suppression for Enhanced Generalization in Breast
Cancer Diagnosis: Harnessing Histopathological Big Data Insights" (Regular)
BigD433 "Contrastive Multi-view Learning for Graph Stucture Learning" (Short)
BigD215 "[Vision Paper] Learning with Variational Objectives on Measures"(Short)
BigD445 "Detecting and Classifying Changes in Traffic Rules using Induction
Loop Data" (Short)

Syed Attique Shah, Xiaoyang Zeng,
Awais Ahmed, Shaheed Parvez, Rui Xi,
and Mengshu Hou
Kai Huang, Dengzhe Liang, He Wang,
and Yuncheng Jiang
Vivien Cabannes
Aziza Zhanabatyrova, Clayton Leite,
and Yu Xiao

S16: Physics Informed Learning and Visualization
BigD235 "Roughness index for loss landscapes of neural network models ofpartial differential equations" (Regular)
BigD392 "Interactive Visualization for Smart Power Grid Efficiency and Outage
Exploration" (Regular)
BigD647 "Scalable Volume Visualization for Big Scientific Data Modeled by
Functional Approximation" (Regular)
BigD293 "A Hybrid Model Based on Multi-level External Knowledge for Chinese
Semantic Matching" (Short)

Keke Wu, Xiangru Jian, Rui Du,
Jingrun Chen, and Xiang Zho
Dongyun Han and Isaac Cho
Jianxin Sun, David Lenz, Hongfeng Yu,
and Tom Peterka
haoyang ma and hongyu guo

S17: Vision and Visualization
BigD756 "Predicting Impression Evaluation of Building Exterior Appearance
Using Street Image Big Data" (Regular)
BigD403 "Multi-layer Caching and Parallel Streaming for Large Scale Cloud
Optimized Point Cloud Data Visualization using WebGPU" (Short)
BigD739 "Design and Development of a Computer Vision-Based Road PhysicalFeature Extraction" (Short)

BigD548 "YOLOv5s-BSS: A Novel Deep Neural Network for Crack Detection ofRoad Damage" (Short)
BigD582 "Comparing ML OCR Engines on Texts from 19th Century Written in
the Romanian Transitional Script" (Short)
BigD497 "Low-latency Visual Previews of Large Synchrotron Micro-CT
Datasets" (Short)

Yusuke Imadegawa, Takuya Oki,
Yoshiki Ogawa, and Chenbo Zhao
Pravin Poudel, Will Usher, and Steve
Petruzza
Juliana Marie Agulto, Yeohan Lorenzo
Noroña, Gian Carlo Gutierrez, Eric
Benabaye, Macario II Cordel, Ann
Franchesca Laguna, Jocelynn Cu, JoelIlao, and Geanne Franco
Conghua Wei, Xiaobo Zhang, Rong Li,
Jixin Zhang, Zhehao Zhang, andHaonan Luo
Marc Frîncu, Marius Penteliuc, SiminaFrîncu, Gheorghe Bran, and ManuelaZănescu
Nicholas Tan Jerome, Suren
Chilingaryan, Thomas van de Kamp,
and Andreas Kopmann

S18: Recommendations Systems and Web Mining
BigD541 "Social Event Detection with Reinforced Deep Heterogeneous Graph
Attention Network" (Regular)
BigD483 "Group-Aware Interest Disentangled Dual-Training for Personalized
Recommendation" (Regular)
BigD496 "Dual-Teacher Knowledge Distillation for Strict Cold-Start
Recommendation" (Regular)
BigD574 "k-bitruss-Attributed Weighted Community Search on Attributed
Weighted Bipartite Graphs" (Short)

Yongsheng Yu, Jia Wu, and Jian Yang
Xiaolong Liu, Liangwei Yang, Zhiwei
Liu, Xiaohan Li, Mingdai Yang, Chen
Wang, and Philip S. Yu
Weizhi Zhang, Liangwei Yang, Yuwei
Cao, Ke Xu, Yuanjie Zhu, and Philip S.
Yu
Zuxuan Zhang, Hongxi Li, Kai Huang,
and Yuncheng Jiang

S19: Predictive Analytics on Big Data
BigD330 "Long-term Time Series Forecasting based on Decomposition and
Neural Ordinary Differential Equations" (Regular)

21

Seonkyu Lim, Jaehyeon Park, Seojin
Kim, Hyowon Wi, Haksoo Lim, Jinsung
Jeon, Jeongwhan Choi, and Noseong
Park

BigD442 "ABF-FNN: A new fuzzy neural network for predicting coal mine gas
concentration hazard" (Regular)
BigD626 "Difforecast: Image Generation Based Highway Traffic Forecasting with
Diffusion Model" (Regular)
BigD635 "Generalized Causal Tree for Uplift Modeling" (Regular) Video

Yimin Sun, Xiaobo Zhang, Zhehao
Zhang, Yunyang Wu, Haihao Tang, andHaonan Luo
Pengnan Chi and Xiaoliang Ma
Preetam Nandy, Xiufan Yu, Wanjun
Liu, Ye Tu, Kinjal Basu, and Shaunak
Chatterjee

S20: Deep Learning V
BigD568 "NeuEmot: Reducing False Neutral Classification in the 2022 FIFA
World Cup Using Low-Level Emotions" (Regular)
BigD595 "Traffic Demand Prediction Based on Multi-dimensional Graph
Convolutional Network" (Regular)
BigD613 "Counterfactual Explanations for Time Series Data via Learned Saliency
Maps" (Regular)
BigD458 "Label Hierarchy Alignment for Improved Hierarchical Text
Classification" (Short)
BigD513 "VHGN: Cooperative Multiagent Reinforcement Learning with
Historical Information Graph" (Short)
BigD545 "[Vision Paper] Hypergraph Neural Networks for Time-series
Forecasting" (Short)

Ademola Adesokan and Sanjay Madria
Peiying Zeng, Liying Jiang, YongxuanLai, and Fan Yang
Peiyu Li, Omar Bahri, Soukaina Filali
Boubrahimi, and Shah Muhammad
Hamdi
Ashish Kumar and Durga Toshniwal
Liu Jiahao, Xu Jiale, Bao Haijia, and Li
Ya
Hongjie Chen, Ryan Rossi, Kanak
Mahadik, Sungchul Kim, and Hoda
EldardiryS21: Data Ecosystem Basics and Vulnerabilities
BigD586 "FOCAL: A Cost-Aware Video Dataset for Active Learning" (Regular)

BigD669 "Measuring Bias" (Regular)
BigD450 "Vision Paper: Leveraging Industrial Big Data – Past, Present, andFuture of the World Wide Lab" (Short)
BigD374 "Predicting Linguistically Sophisticated Social Determinants of Health
Disparities with Neural Networks: The Case of LGBTQ+ Minority Stress" (Short)

BigD716 "Causal Fairness-Guided Dataset Reweighting using Neural Networks"(Short)BigD727 "An Exploratory Study of Vulnerabilities in Big Data Systems" (Short)
Video

Kiran Kokilepersaud, Yash-yee Logan,
Ryan Benkert, Chen Zhou, Mohit
Prabhushankar, Ghassan AlRegib,
Enrique Corona, Kunjan Singh, andMostafa Parchami
Aida Sharif Rohani and Ricardo BaezaYates
Mohamed Behery, Philipp Brauner,
Felix Glawe, Istvan Koren, Martina
Ziefle, and Gerhard Lakemeyer
Cory Cascalheira, Santosh Chapagain,
Ryan Flinn, Yuxuan Zhao, Soukaina
Boubrahimi, Dannie Klooster, Alejandra
Gonzalez, Emily Lund, Danica Laprade,
Jillian Scheer, and Shah Hamdi
Xuan Zhao, Klaus Broelemann,
Salvatore Ruggieri, and Gjergji Kasneci
Nikolas Tyllis, Faheem Ullah, andMuhammad Uzair

S22: Trustworthiness, Resilience, Privacy, and Security
BigD340 "Robust Fraud Detection via Supervised Contrastive Learning" (Regular)
BigD527 "Improving Adversarially Robust Sequential Recommendation throughGeneralizable Perturbations" (Regular)
BigD273 "Detecting Compromised IoT Devices Using Autoencoders with
Sequential Hypothesis Testing" (Short)
BigD383 "Active Data Reconstruction Attacks in Vertical Federated Learning"(Short)Vinay M.S., Shuhan Yuan, and Xintao
Wu
Xun Yao, Ruyi He, Xinrong Hu, Jie
Yang, Yi Guo, and Zijian Huang
Md Mainuddin, Zhenhai Duan, andYingfei Dong
Minh Vu, Tre' Jeter, Raed Alharbi, andmy thai

S23: Fake Information, Personality, and Semantic Understanding

22

BigD309 "FNDaaS: Content-agnostic Detection of Websites Distributing Fake
News" (Regular)
BigD560 "Cross-Domain Fake News Detection Based on Coarse-Fine Grained
Environments Reflecting Public Expectation" (Regular) Video
BigD479 "Multimodal Co-attention Transformer for Video-Based Personality
Understanding" (Regular)
BigD418 "MERMAID: A Dataset and Framework for Multimodal Meme
Semantic Understanding" (Regular)

Panagiotis Papadopoulos, Dimitris
Spithouris, Evangelos P. Markatos, andNicolas Kourtellis
Guojun Liu and Yuefeng Ma
Mingwei Sun and Kunpeng Zhang
Shaun Toh, Adriel Kuek, Wen-Haw
Chong, and Roy Ka-Wei Lee

S24: Algorithms and Systems for Big Data Search
BigD240 "Discovery and Matching Numerical Attributes in Data Lakes" (Regular)
BigD622 "Sketching Multidimensional Time Series for Fast Discord Mining"(Regular)

BigD256 "Increase Merge Efficiency in LSM Trees Through CoordinatedPartitioning of Sorted Runs" (Short)
BigD438 "Chain-Based Outlier Detection for Complex Data Scenarios" (Short)
BigD660 "SuperBlocking: An Efficient Blocking Technique for Record Linkage"(Short)Pattara Sukprasert, Pattara Sukprasert,
Ryan Rossi, Fan Du, and Eunyee Koh
Chin-Chia Michael Yeh, Yan Zheng,
Menghai Pan, Huiyuan Chen,
Zhongfang Zhuang, Junpeng Wang,
Liang Wang, Wei Zhang, Jeff M.
Phillips, and Eamonn Keogh
Qizhong Mao and Vagelis Hristidis
Huiwen Dong, Qing-Guo Wang, andWei Ding
Joyanta Basak, Sartaj Sahni, andSanguthevar Rajasekaran

S25: Machine Learning Algorithms IV
BigD735 "Multi-view Deep Markov Models for Time Series Anomaly Detection"(Regular)
BigD742 "Density-Based Prototypical Contrastive Learning on Visual
Representations" (Regular)
BigD406 "Discern: Leveraging Knowledge Distillation to Generate High
Resolution Soil Moisture Estimation from Coarse Satellite Data" (Short)
BigD402 "Feature Acquisition Using Monte Carlo Tree Search" (Short) (Video)
BigD430 "Toward Efficient and Incremental Spectral Clustering via ParametricSpectral Clustering" (Short)
BigD437 "Causal Associations between Temporal Events" (Short)

Phuong Nguyen, Hiep Tran, and TuanLe
Yueh-Lin Chung and Hsing-Kuo Pao
Abdul Matin, Paahuni Khandelwal,
Shrideep Pallickara, and Sangmi
Pallickara
Sungsoo Lim, Diego Klabjan, and Mark
ShapiroJo-Chun Chen and Hung-Hsuan Chen
Nguyen Ho, Trinh Cong Le, Van Long
Ho, Nguyen Tuong Huynh, and Linh
Bao Ngo

S26: Privacy Preserving Analytics
BigD363 "PGAN-KD: Member Privacy Protection of GANs Based on Knowledge
Distillation" (Short) Video
BigD422 "Improving the Utility of Differentially Private SGD by Employing
Wavelet Transforms" (Short)
BigD461 "Zooming into abnormal events in video conferencing" (Short)
BigD763 "Analyzing Threat Vector in ICS Cyberattacks" (Short) (Video)
BigD411 "Qobra: Fast Verification of Transactional Serializability with Quantum
Annealing" (Short)
BigD679 "A personalized privacy-preserving semi-centralized recommendation
system" (Short)

23

Zhang Tianhan, Yu Juan, Han Jianmin,
and Peng Hao
Kanishka Ranaweera, David Smith,Dinh Nguyen, Pubudu Pathirana, Ming
Ding, Thierry Rakotoarivelo, and Aruna
Senevirathne
Shmuel Horowitz, Dima Kagan, Galit
Fuhrmann Alpert, and Michael Fire
Ismael Villanueva-Miranda and Monika
Akbar
Natsuki Hamada, Kazuhiro Saito, andHideyuki Kawashima
Carson Leung and Qi Wen

S27: Deep Learning III
BigD492 "Towards cost-effective and resource-aware aggregation at Edge forFederated Learning" (Regular)
BigD495 "Enhancing Representation Learning with Label Association for MultiLabel Text Classification" (Regular)
BigD470 “ A Dialogue Generation Adapter for LLM over Domain Knowledge
Gap”
BigD382 "Learning Pruned Structure and Weights Simultaneously from Scratch:an Attention based Approach" (Short)
BigD414 "Autoencoders and Generative Adversarial Networks for Imbalanced
Sequence Classification" (Short)
BigD425 "Improve interpretability of Information Bottlenecks for Attribution withLayer-wise Relevance Propagation" (Short)

Ahmad Khan, Yuze Li, Xinran Wang,
Sabaat Haroon, Haider Ali, Yue Cheng,
Ali Butt, and Ali Anwar
Wang Zhang, Xin Wang, Yuhong Wu,
Xingpeng Zhang, and Huayi Zhan
Noriaki Kawamae
Qisheng He, Weisong Shi, and Ming
Dong
Stephanie Ger, Yegna SubramanianJambunath, and Diego Klabjan
Xiongren Chen, Jiuyong Li, Jixue Liu,
Stefan Peters, Lin Liu, Thuc Duy Le,
and Anthony Walsh

S28: Data Preprocessing, Data Cleaning, and Data Integration
BigD354 "Detecting Semantic Errors in Tables using Textual Evidence" (Regular)
BigD386 "Efficient Missing Value Imputation by Maximum Distance Likelihood"(Short)BigD395 "An Analysis of Combined Data Augmentation in Time Series
Prediction Tasks Using Discrete Wavelet Multilevel Decomposition" (Short)
BigD405 "Data Integration Framework with Multi-source Big Data for Enhanced
Forest Fire Prediction" (Short)
BigD538 "[Vision Paper] Self-configured Entity Resolution with pyJedAI" (Short)

BigD578 "Multiloss-Based Optimization for Time Series Data Augmentation"(Short) (Video)

Minh Pham, Craig Knoblock, andMuhao Chen
Savong Bou, Toshiyuki Amagasa,
Hiroyuki Kitagawa, Salman Ahmed
Shaikh, and Akiyoshi Matono
Yuewen Shen, Xinhao Yang, Jiayu
Zhao, and Ze Li
Parveen Kaur, Kshirasagar Naik,
Richard Purcell, Srinivas Sampalli,
Chung-Horng Lung, Marzia Zaman, andAbdul Mutakabbir
Vasilis Efthymiou, Ekaterini Ioannou,
Manos Karvounis, Manolis Koubarakis,
Jakub Maciejewski, Konstantinos
Nikoletos, George Papadakis, Dimitris
Skoutas, Yannis Velegrakis, andAlexandros Zeakis
Omar Bahri, Peiyu Li, Soukaina Filali
Boubrahimi, and Shah Muhammad
Hamdi

S29: Cloud/Grid/Stream Computing
BigD306 "gSPICE: Model-Based Event Shedding in Complex Event Processing"(Short)
BigD490 "ChimeraPy: A Scientific Distributed Streaming Framework for Realtime Multimodal Data Retrieval and Processing" (Short)
BigD612 "Predicting Dynamic Memory Requirements for Scientific Workflow
Tasks" (Short)
BigD771 "Distributed Quantum Learning with co-Management in a Multi-tenant
Quantum System" (Short)
BigD648 "Co-Tuning of Cloud Infrastructure and Distributed Data Processing
Platforms" (Short) Video
BigD752 "Sailfish: A Dependency-Aware and Resource Efficient Scheduling for
Low Latency in Clouds" (Short)
S30: Link and Graph Mining

24

Ahmad Slo, Sukanya Bhowmik, andKurt Rothermel
Eduardo Davalos, Umesh Timalsina,
Yike Zhang, Jiayi Wu, Joyce HornFonteles, and Gautam Biswas
Jonathan Bader, Nils Diedrich, Lauritz
Thamsen, and Odej Kao
Anthony D'Onofrio Jr., Amir Hossain,
Lesther Santana, Naseem Machlovi,
Samuel Stein, Jinwei Liu, Ang Li, andYing Mao
Isuru Dharmadasa and Faheem Ullah
Jinwei Liu, Yingjie Lao, Ying Mao, andRajkumar Buyya

BigD333 "ID-MixGCL: Identity Mixup for Graph Contrastive Learning" (Regular)
BigD670 "Multi-State Brain Network Discovery" (Regular)
BigD271 "Efficient Estimation of Local Causal Effects in Graphs via
Neighborhood Pooling" (Short)
BigD657 "CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in
Graph Neural Networks" (Short)
BigD659 "Towards Bi-Level Out-of-Distribution Logical Reasoning on
Knowledge Graphs" (Short)
BigD696 "Maximum Flow on Highly Dynamic Graphs" (Short)

Gehang Zhang, Bowen Yu, Jiangxia
Cao, Xinghua Zhang, Jiawei Sheng,
Tingwen Liu, and Chuan Zhou
Hang Yin, Yao Su, Xinyue Liu, Thomas
Hartvigsen, Yanhua Li, and Xiangnan
Kong
Ryan Rossi, Somdeb Sarkhel, andNesreen Ahmed
Haozhe Tian, Haibo Hu, and Qingqing
Ye
Fatimah Alotaibi and Dawei Zhou
Juntong Luo, Scott Sallinen, and Matei
Ripeanu

S31: Machine Learning Algorithms V
BigD755 "Heterogeneous Domain Adaptation with Positive and Unlabeled Data"(Regular)
BigD767 "mTADS: Multivariate Time Series Anomaly Detection Benchmark
Suits" (Regular)
BigD480 "Semi-supervised 3D Video Information Retrieval with Deep Neural
Network and Bi-directional Dynamic-time Warping Algorithm" (Regular)
BigD441 "Prompting Large Language Models for Topic Modeling" (Short)
BigD508 "Ego-Network Transformer for Subsequence Classification in Time
Series Data" (Short)

BigD619 "OLR-WA: Online Weighted Average Linear Regression in Multivariate
Data Streams" (Short)

Junki Mori, Ryo Furukawa, Isamu
Teranishi, and Jun Sakuma
David Baumgartner, Helge Langseth,Heri Ramampiaro, and Kenth EngøMonsen
Yintai Ma and Diego Klabjan
Han Wang, Nirmalendu Prakash,
Nguyen Khoi Hoang, Ming Shan Hee,
Usman Naseem, and Roy Ka-Wei Lee
Chin-Chia Michael Yeh, Huiyuan Chen,
Yujie Fan, Xin Dai, Yan Zheng, Vivian
Lai, Junpeng Wang, Zhongfang Zhuang,
Liang Wang, Wei Zhang, and Eamonn
Keogh
Mohammad Abu-Shaira, Alejandro
Rodriguez, Greg Speegle, Ishfaq
Ahmad, and Victor Sheng

S32: Deep Learning VI
BigD624 "A Prior-Guided Meta-Weight Network for Long-tailed Noisy Data in
Item Categorization" (Regular)
BigD668 "CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead
Streamflow Forecasting" (Regular)
BigD699 "Aspect-based Meeting Transcript Summarization: A Two-Stage
Approach with Weak Supervision on Sentence Classification" (Regular)
BigD564 "Enhancing Radio Signals Classification with Complex Variation Deep
Learning Models" (Short)
BigD683 "JPAVE: A Generation and Classification-based Model for Joint ProductAttribute Prediction and Value Extraction" (Short)
BigD690 "Cohesive Attention-Based Explanations for Sequences andExplainability in Presence of Event Types" (Short)
S33: Deep Learning VII

25

Tianqi Wang, Lei Chen, and Jing Gao
Yong Zhuang, David L Small, Patrick D
Flynn, Shafiqul Islam, Ping Chen, andWei Ding
Zhongfen Deng, Seunghyun Yoon,
Trung Bui, Franck Dernoncourt, Quan
Hung Tran, Shuaiqi Liu, Wenting Zhao,
Tao Zhang, Yibo Wang, and Philip Yu
Nader Joojili, Zeinab Eskandari,
Mohammed Abuibaid, Jun Steed Huang,
M. Omair Shafiq, Alireza Yaghoobi,
and Moa Dutta
Zhongfen Deng, Hao Peng, Tao Zhang,Shuaiqi Liu, Wenting Zhao, Yibo Wang,and Philip Yu
Stephanie Ger, Yegna SubramanianJambunath, Diego Klabjan, and Jean
Utke

BigD707 "SEED: An Effective Model for Highly-Skewed Streamflow Time Series
Data Forecasting" (Regular)
BigD726 "ADAMM: Anomaly Detection of Attributed Multi-graphs with
Metadata: A Unified Neural Network Approach" (Regular)
BigD738 "Flexible Communication for Optimal Distributed Learning over
Unpredictable Networks" (Regular)
BigD717 "CSER: Enhancing Cybersecurity Entity Recognition ThroughMultidimensional Feature Fusion" (Short)
BigD757 "M2-Mixer: A Multimodal Mixer with Multi-head Loss forClassification from Multimodal Data" (Short)
BigD432 "Temporal Knowledge Graph Question Answering Models Enhancedwith GAT" (Short)

Yanhong Li, Jack Xu, and David
Anastasiu
Konstantinos Sotiropoulos, Lingxiao
Zhao, Pierre Jinghong Liang, andLeman Akoglu
Sahil Tyagi and Martin Swany
Md Abu Marjan and Toshiyuk
AMAGASA
Grigor Bezirganyan, Sana Sellami,
Laure Berti-Équille, and Sébastien
Fournier
Wenjuan Jiang and Yi Guo

S34: Recommendation Systems and Social Media Systems
BigD540 "Large-scale User Preference Tracking via Asynchronous andAsymmetric Updating at Twitter" (Regular, Video)
BigD663 "TransGNN: Towards Knowledge Enhanced Top-K Recommendation
via Transformed Heterogeneous Graph Neural Network" (Regular)
BigD753 "Forgetting User Preference in Recommendation Systems with LabelFlipping" (Regular)
BigD562 "Dual-Path Side Information Fusion for Sequential Recommendation"(Short)BigD630 "Leveraging Uncertainty Quantification for Reducing Data for
Recommender Systems" (Short)

Ga Wu, Shivam Khare, Li Zhou, Yael
Brumer, Jun-Ping Ng, and Ruowei
Wang
Shen Wang, Ziwei Fan, Jibing Gong,
Xiaokai Wei, and Philip S. Yu
Manal Alshehri and Xiangliang Zhang
Yu Zhang, Haiwei Pan, Kejia Zhang,
Tianming Zhang, Qingquan Ren, andWenjie Li
Xi Niu, Ruhani Rahman, XiangchengWu, Riyi Qiu, Zhe Fu, and Depeng Xu

S35: High Performance/Parallel Computing Platforms
BigD686 "HARVEST: High-Performance Artificial Vision Framework for Expert
Labeling using Semi-Supervised Training" (Regular)
BigD702 "PieRank: Embedded Large-Scale Sparse Matrix Processing" (Regular)
Video
BigD723 "Computing Group-By and Aggregate on Massively Parallel Systems"(Regular)
BigD317 "SRN-SZ: Deep Learning-Based Scientific Error-bounded Lossy
Compression with Super-resolution Neural Networks" (Short)
BigD384 "On Overcoming HPC Challenges of Trillion-Scale Real-World Graph
Datasets" (Short, Video Recording)

Nawras Alnaasan, Matthew Lieber,Aamir Shafi, Hari Subramoni, Scott
Shearer, and Dhabaleswar K. Panda
Michelle Zhou
Minh Pham, Chengcheng Mou,
Benjamin HSU, and Yicheng Tu
Jinyang Liu, Sheng Di, Sian Jin, Kai
Zhao, Xin Liang, Zizhong Chen, andFranck CappelloMohsen Koohi Esfahani, Paolo Boldi,
Hans Vandierendonck, Peter Kilpatrick,and Sebastiano Vigna

S36: Semantic-based Data Mining and Mining of Scientific Data
BigD347 "A Scalable Approach to Aligning Natural Language and Knowledge
Graph Representations: Batched Information Guided Optimal Transport" (Regular)
BigD571 "Pandemic Culture Wars: Partisan Differences in the Moral Language of
COVID-19 Discussions" (Regular)
BigD344 "Integrating Noisy Knowledge into Language Representations for ECommerce Applications" (Short)
BigD607 "PSQS: Parallel Semantic Querying Service for Self-describing File
Formats" (Short)
BigD446 "Constructing Knowledge Graph from Cyber Threat Intelligence Using
Large Language Model" (Short)

26

Alexander Kalinowski, Deepayan Datta,
and Yuan An
Ashwin Rao, Siyi Guo, Sze-Yuh Nina
Wang, Fred Morstatter, and Kristina
LermanKaran Samel, Jun Ma, ZhengyangWang, Tong Zhao, and Irfan Essa
Chenxu Niu, Wei Zhang, Suren Byna,
and Yong Chen
Jiehui Liu and Jieyu Zhan

BigD598 "Mining Large-Scale Knowledge Graphs for Chemical Reaction
Fingerprints" (Short)

Blake Gaines, Minghu Song, and Jinbo
Bi

Industry and Government Program Sessions
SESSION S1 - Day 1: Friday, December 15, 2023 (Session Chair: Dominik Ślęzak)Time

15:0015:20

15:2015:40

Title

Presenter/Author[N233] Exploring Approaches to Optimize the
Performance of Predictive Coding on Multilanguage
Data Sets

Christian Mahoney,
Nathaniel HuberFliflet, Peter Gronvall,
Chris Clark, Jianping
Zhang, Fusheng Wei,
Qiang Mao
Mohan Timilsina[N234] Engineering Data Assets for Public HealthApplications: A Covid-19 Case Study[N206] DARC: High-dimensional Diffusing Anomaly
Detection and Root Cause Location in Cloud Computing
Systems[N209] Apurba's: Specialized Models and Advanced
Techniques in Bengali OCR for Diverse Document
Types

Wanning Sun, Xuhua
Ma, Ruimin Peng,
Yifan Xu, Dongrui Wu
AKM Shahariar Azad
Rabby, Hasmot Ali,
15:5516:10
Md. Majedul Islam,
Fuad Rahman[N215] Market Size Estimation Model at the Product
Ye Lim Jung, Hyoung
16:1016:25
Level based on Text Mining Approach
Sun Yoo, Ji Hui Kim[N246] Explainable Text Classification for Legal
Nathaniel HuberDocument Review in Construction Delay Disputes
Fliflet, Jianping Zhang,
16:2516:40
Peter Gronvall,
Fusheng Wei
SESSION S2 - Day 1: Friday, December 15, 2023 (Session Chair: Hosub Lee)
15:4015:55

Time

Title

Presenter/Author[N256] Automatic Data Transformation Using Large
Language Model – An Experimental Study on Building
Energy Data

Ankita Sharma,
Xuanmao Li, Hong
Guan, Guoxin Sun,
Liang Zhang, Lanjun
Wang, Kesheng Wu,
Lei Cao, Erkang Zhu,
Alexander Sim, Teresa
Wu, Jia Zou
Gautam Choudhary,
Iftikhar Ahamath
Burhanuddin, Eunyee

16:5017:10

17:1017:30[N259] PersonaSAGE: A Multi-Persona Graph Neural
Network27

[N262] Revisiting Stylized Facts for Modern Stock
Markets
17:3017:50

17:5018:10[N264] MM-TrafficRisk: A Video-based Fleet
Management Application for Traffic Risk Prediction,
Prevention, and Querying[N266] NPRL: Nightly Profile Representation Learning
for Early Sepsis Onset Prediction in ICU Trauma Patients

Koh, Fan Du, Ryan
Rossi
Ethan Ratliff-Crain,
Colin M. Van Oort,James Bagrow,Matthew T. K.
Koehler, Brian F.
Tivnan
Minh-Son Dao, Hilmil
Pradana, Koji Zettsu

Tucker Stewart,
Katherine Stern, Grant
O'Keefe, Ankur
Teredesai, Juhua Hu
SESSION S3 - Day 2: Saturday, December 16, 2023 (Session Chair: John Wu)

18:1018:30

Time

Title

Presenter/Author

10:3010:50[N230] Towards Predictive Lifetime-Oriented
Temperature Control of Power Electronics in E-vehicles
via Reinforcement Learning

Anqi Chu, Xiang Xie,
Chris ManuelHermann, Wilhelm
Stork, Jörg RothStielow
Hosub Lee

10:5011:10

11:1011:30

11:3011:50

11:5012:10[N205] Uncovering and Understanding Smart TV Users'
Picture Quality Preferences via Big Data Analytics[N211] Applied Data Science for Leasing Score
Prediction

Giuseppe Cianci,
Roberto Goglia,
Riccardo Guidotti,
Matteo Kapllaj,
Roberto Mosca, Andrea
Pugnana, Franco
Ricotti, Salvatore
Ruggieri[N218] Load Balancing Algorithms and Their Impacts on
Hung-Chang Hsiao,
Apache Kafka
Chia-Ping Tsai, ZhengXian Li, Chao-Heng
Lee, Jia-Sheng Chen,
Yu-Chen Lai, Jia-Chi
Wang, Shao-Chi Li,
Jhih-Cyuan Gao, YiHuan Lee[N220] Near Neighbor Search for Constraint Queries
Gaurav Gupta, Anup
Rao, Tung Mai, Ryan
Rossi, Xiang Chen,
Saayan Mitra,
Anshumali Shrivastava28

[N203] Temporal Treasure Hunt: Content-based Time
Series Retrieval System for Discovering Insights

Chin-Chia Michael
Yeh, Huiyuan Chen,
Xin Dai, Yan Zheng,
Yujie Fan, Vivian Lai,
12:1012:20
Junpeng Wang, Audrey
Der, Zhongfang
Zhuang, Liang Wang,
Wei Zhang[N204] Time Series Synthesis Using the Matrix Profile
Audrey Der, Chin-Chia
for Anonymization
Michael Yeh, Yan
Zheng, Junpeng Wang,
12:20Huiyuan Chen,
12:30
Zhongfang Zhuang,
Liang Wang, Wei
Zhang, Eamonn Keogh
SESSION S4 - Day 2: Saturday, December 16, 2023 (Session Chair: Dejing Dou)Time
14:0014:20

14:2014:40

14:4015:00
15:0015:20

Title

Presenter/Author[N221] Visual Insight Recommendation: From Ranking
Insight Visualizations to Insight Types

Camille Harris, Ryan
Rossi, Sana Malik, Jane
Hoffswell, Fan Du, Tak
Yeon Lee, Eunyee
Koh, Handong Zhao
Luca Cagliero, Silvia
Buccafusco, Francesco
Vaccarino, Lucia
Salvatori, Riccardo
Loti
Alex Shtoff, Yohay
Kaplan, Ariel Raviv
Amadou Ba, Fearghal
O’Donncha, Joern
Ploennigs, Muneeza
Azmat
Robert Bridges, BrianWeber, Justin Beaver,
Jared Smith, Miki
Verma, Savannah
Norem, Kevin Spakes,
Cory Watson, Jeff
Nichols, Brian Jewell,
Michael Iannacone,
Chelsey Dunivan Stahl,
Kelly Huffer, T. Sean
Oesch

[N222] Detecting industrial vehicles’ duty levels using
contrastive learning[N223] Improving conversion rate prediction via selfsupervised pre-training in online advertising[N225] Efficient Extraction of Insights at the Edges ofDistributed Systems[N226] AI ATAC 1: An Evaluation of Prominent
Commercial Malware Detectors

15:2015:40

29

Jaeho Bang, Sungchul
Kim, Ryan Rossi, Tong
Yu, Handong Zhao
[N217] Cost-Efficient Cross-Region Copy in Cloud Data
Huijun Wu, Maosong
Warehouse: An Evolutionary ApproachFu, Mansi Kapoor,
Zheng Li, Donggeon
15:50Kim, Jihyeon Ha,
16:00
Sungwook Byun,
Prashanth Rajendran,
San TanSESSION S5 - Day 3: Sunday, December 17, 2023 (Session Chair: Luca Cagliero)
15:4015:50

Time[N216] Interpretable Unsupervised Log Anomaly
Detection

Title

Presenter/Author[N236] Ready for the Big Game: How FanDuel Boosts
Conversions and Revenue at Scale with a Real-Time
Recommender System for Daily Fantasy Sports

Varun Chugh, William
Kretz, Steven Rosa,
10:30Brooks Beckelman,
10:50
Hao Tong, Dejan
Mitkovski[N238] Sensorless Monitoring of Shipping Containers
Misaki Mito, Chi Heem
10:50Wong, Arnab
11:10
Chakrabarti[N248] VEMUT-Sub-Sampling: A Novel Method for
Nadin-Katrin Apel,
11:1011:30
Sparse Multivariate Time-Series Vehicle Data
Constantinos Antoniou[N249] Decentralized Personalized Online Federated
Renzhi Wu, Saayan
11:30Learning
Mitra, Xiang Chen,
11:50
Anup Rao[N228] Individualized Reservation fare optimization for
Kyuyoung Lee, Jiseon
Designated Driver Service
Lee, Seungyoun Lee,
11:5012:05
Hoonyong Shim,
Jungmin Kim[N229] Uncertainty Estimation for a Dual-Embedding
Hamed Khorasgani,
12:05based
EntityExtraction
Service
NamrataGhadi, Saumil
12:20
Shah, Henry Zhang[N232] Large Scale Multiplex Latent Graphs for
Jie Liu, Zhipeng Jin, Yi
Recommendation in Baidu
Yang, Wei Jia, Xuewu
12:2012:30
Jiao, Shuanglong Li,
Lin Liu
SESSION S6 - Day 3: Sunday, December 17, 2023 (Session Chair: Ovidiu-CristianMarcu)
Time

Title

Presenter/Author

14:0014:20[N250] NNCR: Revising Classifications using
Embedding Based K-Nearest-Neighbor Search[N252] Refactoring ETL Flows in The Wild

Yu-Hsuan Kuo

14:2014:40

30

Dolev Adas, Ohad
Eytan, Josep Sampe,
Paula Ta-Shma, Guy
Khazma[N253] Audience Prospecting for Dynamic-Product-Ads
in Native Advertising

Eliran Abutbul, Yohay
Kaplan, Naama Krasne,
Oren Somekh, Or
14:4015:00
David, Omer
Duvdevany, Evgeny
Segal[N254] AltOOM: A Data-driven Out of Memory RootPranjal Chakraborty,
Cause Identification Strategy
Naser Ezzati-Jivan,
15:0015:20
Vahid Azhari, Francois
Tetreault[N224] Boosting Feedback: A Framework for Enhancing Kota Tsubouchi, Shuji
15:20Ground Truth Data Collection
Yamaguchi, Tatsuru
15:35
Higurashi[N244] Extending the Horizon by Empowering
Alvina Hui Shan Lee,
15:35Government
Customer
Service
Officers
with
ACQAR
for
Venky
Shankararaman,
15:50
Enhanced Citizen Service Delivery
Eng Ouh[N260] How Global Retailer ADEO Migrated to Google
Ehab Abdelhamid,
BigQuery with Database Virtualization
Amirhossein Aleyasen,
Michael Duller, Eric
Foratier, Vincent
Fruleux, Mirella Katch,
15:5016:00
Gourab Mitra, Rima
Mutreja, Jozsef
Patvarczki, Matthew
Pope, Nikos Tsikoudis,
F. Michael Waas
SESSION S7 - Day 4: Monday, December 18, 2023 (Session Chair: Dominik Ślęzak)
Time

Title

Presenter/Author

10:3010:50[N268] A Case Study on ChatGPT Question Generation

Winston Chan, Aijun
An, Heidar Davoudi
Ramakrishnan Kannan,
Cristina GarciaCardona,
Balasubramaniam
Radhakrishnan, Sudip
Seal
Jongjun Park, Fei
Chiang, Eduardo
Correia da Silva, Kevin
Lytwyn, Stephen
Veldhuis
Moritz von Zahn,
Oliver Hinz, Stefan
Feuerriegel
Wei Zhang, David
Arbour[N269] A Deep Learning Pipeline for Optimizing Largescale Phase Field Simulations
10:5011:10

11:1011:30

11:3011:50
11:5012:05[N270] Will my Flight be on Time? Learning from Part
Failures to Predict Future Reliability[N271] Locating disparities in machine learning[N258] Online Forecasting Based Anomaly Detection
For Monitoring Large Scale Streaming Data31

12:0512:20[N261] Two-sample KS test with Apache Spark's
approxQuantile

Bradley Eck, Duygu
Kabakci-Zorlu,
Amadou Ba[N275] Towards Unified Data Ingestion and Transfer for
Muhammad Arslan
theComputingContinuum
Tariq,
Ovidiu-Cristian
12:2012:30
Marcu, Gregoire
Danoy, Pascal Bouvry
SESSION S8 - Day 4: Monday, December 18, 2023 (Session Chair: Dejing Dou)
Time

Title

Presenter/Author

14:0014:20[N272] HungerGist: An Interpretable Predictive Modelfor Food Insecurity

Yongsu Ahn, Muheng
Yen, Yu-Ru Lin, Zian
Wang
Shengkun Wang,
YangXiao Bai, Taoran
Ji, Kaiqun Fu, Linhan
Wang, Chang-Tien Lu
Shayan Jawed, Jan
Stening, Lars SchmidtThieme
Norifumi Nishikawa,Shinji Fujiwara, Yuto
Hayamizu, Kazuo
Goda
Minh-Son Dao, Huy
Quang Ung, Sadanori
Ito, Shinya Wada, Koji
ZettsuAyumu Hidaka, Ryota
Shin, Atsushi Tsuchiya,
Norihiko Nakabayashi,
Yukihiko Okada, Yohei
Shida
Sai Charan Emmadi,
Parag Agrawal, SatyaSamudrala, Vikrant
Shimpi, Maitreya Natu

14:2014:40

14:4015:00

15:0015:20

15:2015:35

15:3515:50

15:5016:00[N273] Stock Movement and Volatility Prediction from
Tweets, Macroeconomic Factors and Historical Prices[N276] Pricing Used Vehicles at Volkswagen Financial
Services AG[N277] Physical Database Design for Manufacturing
Business Analytics[N263] Fostering Innovation in Urban Transportation
Risk Management: A Multi-Sector Collaborative
Benchmarking Platform[N274] Data-Driven Approaches to Detecting
Misdeliveries in Truck Logistics using GPS Data

[N278] Theory meets practice approach for Event
Correlations (video)32

Workshops
Computational Archival Science
Workshop Chairs: Mark Hedges, Victoria Lemieux, Richard MarcianoTime
8:50 – 9:00

09:00 – 10:00
09:00 – 09:20
09:20 – 09:40
09:40 – 10:00
10:00 – 10:30
10:30 – 11:30
10:30 – 10:50
10:50 – 11:10
11:10 – 11:30
11:30 – 12:30

Sunday 17 December (all times are in Central European Time, UTC+1)
Title
Presenter/Author
WelcomeSESSION 1: Classification & Annotation
An Intelligent Class – The Sequel: The Development Of A Novel
Context Capturing Method For The Functional Auto Classification Of
Records (S01209)
Specimen Outlining: A Computational Archival Science Approach(S01216)
Who’s in My Archive? An End-to-End Framework for Automatic
Annotation of TV Personalities (S01206)
Coffee BreakAuthenticating Citizen Journalism Videos by Incorporating the View
of Archival Diplomatics into the Verification Processes of Opensource Investigators (S01211)
Will Blockchain Technology Change How Well National Archives
Preserve the Trustworthiness of Digital Records?: Preliminary Resultsof a Survey (S01205)
Analogous Analogues: Digital Twins and Hardware Tracking in
GLAM Collections (S01208)

2:15 – 3:00

Keynote12:10 – 12:30

3:00 – 4:00
3:00 – 3:20
3:20 – 3:40
3:40 – 4:00
4:00 – 4:30
4:30 – 5:30

Hoda Hamouda
Özhan Saglik, Victoria Lemieux
Dian Ross, Edmond Cretu, Victoria
Lemieux

SESSION 3: Emerging Challenges & Opportunities

12:30 – 2:00

11:50 – 12:10

Nathaniel Payne
David Breen, Andrew Senin, Ajani
Levere, Jane Greenberg
Maurizio Montagnuolo, Fulvio
Negro, Alberto Messina, Angelo
Bruccoleri, Roberto Iacoviello

SESSION 2: Authenticity & Trust

Critical Community-Centeredness: Ethical Considerations for
Computational Archival Studies (S01203)
Accelerating Precision Research and Resolution ThroughComputational Archival Science Pedagogy (S01204)
The utility of standards and good practice guidelines for records
professionals: comparing apples, oranges, and other fruits (S01215)
Lunch Break

11:30 – 11:50

Mark Hedges (King’s College
London), Victoria Lemieux (U.
British Columbia),
Richard Marciano (U. Maryland)

Madelynn Dickerson, Audra Eagle
Yun
Sarah A. Buchanan, Jennifer L.
Wachtel, Jennifer A. Stevenson
Shadrack Katuu
Emanuele Frontoni (Università diMacerata)

SESSION 4: Generative AI and LLMs
Can GPT-4 Think Computationally about Digital Archival Practices?
(S01213)
Exploring the Application of Large Language Models in Detecting andProtecting Personally Identifiable Information in Archival Data: A
Comprehensive Study (S01207)
AI-Generated Images as an Emergent Record Format (S01212)
Coffee BreakWilliam Underwood, Joan Gage
Jianliang Yang, Xiya Zhang, Kai
Liang, Yuenan Liu
Jessica Bushey

SESSION 5: Discussion and closing

11th International Workshop on Distributed Storage and Blockchain Technologies for Big
Data
Workshop Chairs: Hui Li, Hanxu Hou and Han Wang
December 17th

33

Time
8:00 – 8:20
8:20 – 8:40
8:40 – 9:00
9:00 – 9:20
9:20 – 9:40
9:40 – 10:00
10:00 – 10:20
10:20 – 10:40
10:40 – 11:00
11:00 – 11:20
11:20 – 11:40
11:40 – 12:00
12:00 – 12:20
12:20 – 12:40
12:40 – 13:00

Title

Presenter/Author

S04201, “RNBFT: Leveraging Randomness toAchieve Scalable Byzantine Consensus”
S04202, “Optimal Repair Algorithm of Single-Disk
Failure for Array Codes with Local Properties”
S04203, “Blockchain-based verifiable and reliable fileaccess control layer for cloud storages”
S04204, “A Federated Learning Scheme Based on
Lightweight Differential Privacy”
S04205, “Reed-Solomon Codes Over Ring with Lower
Computational Complexity”
S04206, “MPI4Spark Meets YARN: Enhancing
MPI4Spark through YARN support for HPC”

Parth Shukla and Saeed Samet
Chuang Luo, Han Xu Hou, Peng Zhang, and Hui Li
Daun Kim, Hyunjoo Yang, Howon Lee, and Sejin
Park
Wenlong Song, Hong Chen, Zhijie Qiu, and Lei
LuoShicheng Tan, Hanxu Hou, and Leilei Yu

Kinan Alattar, Aami Shafi, Hari Subramoni, andDhabaleswar K. Panda
Qi Lyu, Hui Li, Xinnan Lin, Han Wang, Hanxu
S04208, “H-MIS: A Hierarchical Multi-Identifier
Hou, Yuguo Yuguo, Qianbin Chen, Ping Fan, Gang
System Based on Blockchain”
Wan, Xiang Zhu, Selwyn Deng, Weixiang Huang,
Jianping Wu, Jieren Cheng, and Wenyuan Yang
S04209, “Design and Implementation of an ERC-20
Joshua Priest, Cameron Cooper, Savvy Lovell,
Smart Contract on the Ethereum Blockchain”
Yong Shi, and Dan Lo
Coffee Break
S04210, “SmartDT: An Effective Vulnerability
Xiaozhou You, Hui Li, Han Wang, and Faisal
Detection System of Smart Contracts Based on Deep
Mehmood
Learning”
S04211, “Lazy Read: Asynchronous Execution ofAnsgar Lößer, Florian Raskob, and Björn
Synchronous File I/O”
Scheuermann
S04212, “Towards a Peer-to-Peer Data Distribution
Dominik Scheinert, Soeren Becker, Jonathan Will,
Layer for Efficient and Collaborative Resource
Luis Englaender, and Lauritz Thamsen
Optimization of Distributed Dataflow Applications”
BigD217(->S04), “BFRecSys: A Blockchain-basedFederated Matrix Factorization for Recommendation
Dongkun Hou and Jie Zhang
Systems”
BigD257(->S04), “Optimized Model of Ledger
Neha Gaonkar, Parnia Samimi, Jagdev bhogal,
Database Management to handle Vehicle Registration”
Luke Porter, and Rob Squire
BigD596(->S04), “Deep Reinforcement Learning
based Data Placement Optimization in Data Center
Ravi Kaler and Durga Toshniwal
Networks”
Closing Remarks

4th International Workshop on User Understanding from Big Data
WorkshopChairs: Claire Ding, Wutao Wei

Time

Title

Presenter/Author

8:30-8:40

Opening Remarks

8:40-9:15

A Store Evaluation System using Automatic Scoring of Retail Stores
Based on Product Review Analysis

9:15-9:50

User Latent Interest Estimation in Real Space: A Comparative
Analysis of Time-Series and Non-Time-Series Processing Algorithms

9:50-10:25

Data Augmentation Improves Fuzzy Association Analysis - A
Comparative Study with Qlik Sense

Claire Ding
Da Li, Hiroto Nishikawa,
Mayumi Ueda, andShinsuke Nakajima
Takanobu Omura, Da Li,
Panote Siriaraya, Katsumi
Tanaka, Yukiko Kawai, andShinsuke Nakajima
Bing NI, Cheuk-Yin
CHEUNG, Chi-Hung NG,
and Fung-Sang CHAN34

10:25-10:30

Closing Remarks

9th International Workshop on Methods to Improve Big Data Science Projects
Workshop Chair: Jeffrey Saltz
December 15th

Time

Title

14:00

Data-push projects and their unique feature: managing with anomalies
ExplainerX: An Integrated and Explainable AI Framework for Nearly ZeroEnergy Buildings
Big Data Tools: Interoperability Study and Performance Testing
Bridging the Gap in AI-Driven Workflows: The Case for Domain-Specific
Generative Bots
Coffee BreakA Capacity Framework of Community Readiness for Supporting Big Data
Science Projects during Cyberinfrastructure Diffusion
Understanding Data Pre-processing with a Hybrid Diagram Integrating ER
and Data Flow Notation
Extending Variability-Aware Model Selection with Bias Detection in Machine
Learning Projects
MLOps in Data Science Projects: A Review
Data Science Failure: A Literature Review
Closing Remarks

14:25
14:50
15:15
16:00
16:25
16:50
17:15
17:40

Presenter/Author
Antoine Bordas
Ladjel Bellatreche
Asma Dhaouadi
Akit Kumar
Kerk Kee
Robin Varghese
Cristina Tavares
Christian Haertel
Sucheta Lahiri

The 6th International Workshop on Big Data Engineering and Analytics in CyberPhysical Systems (BigEACPS’23)
WorkshopChairs: Akbar Namin – Texas Tech University

Time

Title

Presenter/Author

14:00 – 14:30

Detecting Phishing URLs using the BERT Transformer Model
Predictive Analytics in IoT and CPS: Enhancing Industrial Machinery
Reliability through Sensor Data-Driven Remaining Useful Life Estimation
The Performance of Machine and Deep Learning Algorithms in Detecting
Fake Reviews
AGVs Quality of Service throughput prediction via neural networks
Exploiting Large Language Models (LLMs) through Deception Techniques
and Persuasion Principles
Interaction in Metaverse: A Survey
Dynamic Analysis for the Detection of Locked Ether Smart Contracts
Closing Remarks

Denish Otieno

14:30 – 15:00
15:00 – 15:30
15:30 – 16:00
16:00 – 16:30
16:30 – 17:00
17:00 – 17:30
17:30 – 18:00

Emrullah Gultekin
Bharkavi
Sachithanandam
Katarzyna Prokop
Sonali SinghHong Lin
Zulfiqar Khan
Akbar Namin

7th International Workshop on Applications of Big Data Technology in the Transport
IndustryWorkshop Chairs: John Easton (University of Birmingham, UK), Joe Preece (University of Birmingham, UK), and Satish V.
Ukkusuri (Purdue University, USA)

Time

Title

Authors

08:30

Welcome08:40 – 09:00

BigD511 – Proposal of an AI-based approach for Urban Traffic Prediction
from Mobility Data

09:00 – 09:20

BigD364 – MixPCD: a Novel Method of Constructing Driving Cycle forElectric Bus with Sparse Data

09:20 – 09:40

S09209 – ChattSpeed: Toward a New Dataset for Single Camera Visual
Speed Estimation for Urban Testbeds

35

Mariaelena Berlotti, Sarah
Di Grande, Salvatore
Cavalieri, Vincenza Torrisi,
and Giuseppe Inturri
Xingxing Wang, Peilin Ye,
Yelin Deng, Yinnan Yuan,
Yu Zhu, and Hongjun Ni
Yasir Hassan and Mina
Sartipi

09:40 – 10:00
10:00 – 10:30

S09206 – Identifying Regions of High Demand for Transportation Services
based on Cluster Evolution and Graph Analysis
Coffee BreakIvens Portugal, Paulo
Alencar, and Donald Cowan
Luciano Lima, Fabio
Andrade, Youcef Djenouri,
Carlos Pfeiffer, and Marcos
Moura
Chaabane Abdelali, Yachba
khadidja, and Ladjel
Bellatreche
Ritesh Panday and ChungHorng Lung
Michele Carbonera,
Michele Ciavotta, and Enza
Messina

10:30 – 10:50

S09203 – Empowering Search and Rescue Operations with Big Data
Technology: A Comprehensive Study of YOLOv8 Transfer Learning forTransportation Safety

10:50 – 11:10

S09202 – Optimization of Dangerous Goods Stowage: A Hybrid Approach
between Faster R-CNN and Coronavirus Metaheuristic

11:10 – 11:30

S09210 – Unstructured Transportation Safety Board Findings Categorization
Using the Knowledge Graph Pipeline

11:30 – 11:50

S09207 – Driving into Uncertainty: An Adversarial Generative Approach forMultivariate Scenario Generation

11:50 – 12:10

BigD345 – Charting the Course of Ship Track Prediction: A Novel Approachfor Maritime Traffic Analysis and Enhanced Situational AwarenessLubna Eljabu

S09208 – Leveraging Probe Data and Machine Learning to Derive andInterpret Macroscopic Fundamental Diagrams Across U.S. Cities

Ling Jin, Xiaodan Xu,
Yuhan Wang, Kaveh
Farokhi Sadabadi, Alina
Lazar, Duleep Rathgamage
Don, Zachary Needell, C.
Anna Spurlock, Mahyar
Amirgholy, and Mona
Asudeg

12:10 – 12:30

12:30

Closing Remarks

Workshop 8th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP &Stream Data Management in Big Data
WorkshopChairs: Sabri SKHIRI

Time

Title

Presenter/Author

2:00 PM 2:40 PM

Keynote 1: Combining expressivity and performance in distributed dataprocessing

Luca De Martini &Alessandro Margara,
Politecnico di Milano

2:40 - 3:20

Keynote 2: Serverless Stream Processing on Apache Flink: Early Lessons
LearnedKonstantin Knauf, Confluent

3:20- 3:40

BigD734 Mitigating Concept Drift in Distributed Contexts with Dynamic
Repository of Federated Models (Video)

3:40 - 4:00

BigD239 Enhancing Concept Drift Detection in Drifting and Imbalanced
Data Streams through Meta-Learning

4:00 - 4:30

Elena Tsiporkova, Michiel De
Vis, Sarah Klein, Anna
Hristoskova Sirris, Belgium
Veselka Boeva, BlekingeInstitute of Technology,
SwedenGabriel Aguiar, Alberto Cano,
Virginia Commowealth
University, United States ofAmerica

Coffee Break

4:30: 4:50

BigD519 A Semi-Supervised Classification Algorithm for Concept Drift andClass Imbalance Data Stream

4:50 - 5:10

BigD768 AutoClass: AutoML for Data Stream Classification

36

ChaoFan Chen, Tianshui Gu,
Kezhong Lu, College ofComputer Science andSoftware Engineering ofShenzhen University,
Shenzhen, China
Maroua Bahri, Nikolaos
Georgantas, Inria Paris,
FranceWorkshop 8th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP &Stream Data Management in Big Data
WorkshopChairs: Sabri SKHIRI

Time

Title

Presenter/Author

5:10 - 5:30

S10202 Toward Parallelization Technique for Stream-based Lossless Data
Compression

5:30 - 5:50

S10203 Online Closed Episode Mining with Root-Order Decomposition

5:50 - 6:10

S10204 Continuous Soccer Pass Detection: A Comparison between
Traditional and Streaming Machine Learning Methods

Taiki Kato, Shinichi
Yamagiwa, and Koichi Wada,
Hinano Sako and Yoshitaka
Yamamoto
Stefania Menconi, Giacomo
Ziffer, Alessio Bernardo, andEmanuele Della Valle,
Politecnico di Milano, Italy

6:10 - 6:15

Closing Remarks

The 7th Annual Workshop on Applications of Artificial Intelligence in the Legal Industry
WorkshopChairs: Han Qin, Jianping Zhang, Nathaniel Huber-Fliflet, Adam Dabrowski, and Jingchao YangTime
2:002:20 pm
2:202:40 pm

Title

Presenter/Authors
Opening Remarks

Towards Open-Set Contract Clause Recognition

Angelo Impedovo, Giuseppe
Rizzo, and Antonio Di Mauro

2:40:3:00
pm

Developing and Evaluating a Model-Based Metric for Legal Question Answering
Systems

Dilan Bakır, Beytullah Yıldız,
and Mehmet S. Aktas

3:003:20 pm

Enhancing Predictive Coding: Empirical Insights from Masked Language Model
Fine-Tuning

Fusheng Wei, Robert
Keeling, Nathaniel HuberFliflet, etc.

3:203:50 pm
3:504:20 pm
4:204:40 pm

4:405:00 pm
5:005:30 pm

Invited Talk
Coffee BreakAn Empirical Analysis of Text Segmentation for BERT Classification in Extended
Documents

Jingchao Yang and Ankura
AI TeamGraph-Based Approach for European Law Classification

Raffaele Russo, Giuliano Di
Giuseppe, Alessandro
Vanacore, Valerio La Gatta,
Antonino Ferraro, Antonio
Galli, Marco Postiglione, andVincenzo Moscato

Invited Talk

5:305:50 pm

Exploring the Performance Impacts of Training Predictive Models with Inclusive
Email Threads

Chris Clark, Jianping Zhang,
Nathaniel Huber-Fliflet, Han
Qin, and Adam Dabrowski

5:506:10 pm

Explainable e-Discovery (XeD) Using an Interpretable Fuzzy ARTMAP Neural
Network for Technology-Assisted Review

Charles Courchaine,
Tasnova Tabassum, Corey
Wade, and Ricky Sethi

37

6:106:30 pm

Closing Remarks

3rd Workshop on Knowledge Graphs and Big Data
In Conjunction with IEEE Big Data 2023
Friday, Dec. 15, 2023
Workshop Co-Chairs: Yuan An, Jane Greenberg, Yuan Ling, Alex Kalinowski

Time (Central
EuropeanStandard Time
GMT+1)
9:00-9:15am
9:15-9:30am

Title

Authors

STROOBnet Optimization via GPU-Accelerated Proximal
Recurrence Strategies
BUILD-KG: Integrating Heterogeneous Data Into AnalyticsEnabling Knowledge Graphs

Edward (Ted) Holmberg, Mahdi
Abdelguerfi, and Elias Ioup
Kara Schatz, Pei-Yu Hou, Alexey Gulyuk,
Yara Yingling, and Rada Chirkova
Min Zhang, Xiaosong Qiao, Yanqing Zhao,
Chang Su, Yinglu Li, Yuang Li, Song Peng,
Shimin Tao, and Hao Yang
Shogo Sato, Tadashi Masuda, andToshiyuki Amagasa

9:30-9:45am

Knowledge Prompt for Whisper: An ASR Entity Correction
Approach with Knowledge Base

9:45-10:00am

Supporting Practical URI Mappings in Virtual Knowledge Graphbased Relational Data Integration

10:00-10:15am

Coffee Break

10:15-10:30am

Knowledge Graphs for Competency-Based Education

10:30-10:45am

Leveraging Knowledge Graphs for Matching Heterogeneous Entities
and Explanation

10:45-11:00am

Ontology-Based Generation of Data Platform Assets

11:00-11:15am
11:15-11:30am

Characterizing Evolutionary Trends in Temporal Knowledge Graphswith Linear Temporal Logic
GCN-based Explainable Recommendation using a Knowledge
Graph and a Language Model

11:30-11:45am

Knowledge Graphs in Spatial-Temporal Cluster Evolution Analysis

11:45-12:00pm

Force-directed graph embedding with hops distance

12:00pm-12:15pm

IoT-Reg: A Comprehensive Knowledge Graph for Real-Time IoT
Data Privacy Compliance

Andrea Linxen, Florian Endel, Simone
Opel, and Christian Beecks
Sahar Ghassabi, Behshid Behkamal, andMostafa Milani
Vincenzo de Leo, Gianni Fenu, David
Greco, Nicolo' Bidotti, Paolo Platter, Enrico
Motta, Andrea Nuzzolese, Francesco
Osborne, and Diego Reforgiato
Valeria Fionda and Giuseppe Pirró
Jeongbin Lee, Kunyoung Kim, Mye Sohn,
and Jongmo Kim
Ivens Portugal, Paulo Alencar, and Donald
Cowan
Hamidreza Lotfalizadeh and Mohammad Al
Hasan
Kelvin Echenim and Karuna Joshi

5th Financial Narrative Processing Workshop (FNP 2023)
Workshop Chairs: Dr Mo El-Haj
Title

Time
08:00 - 08:05

Opening Remarks

08:05 - 08:15

The Financial Narrative Summarisation Shared Task (FNS
2023)

38

Presenter/Author
Dr Mo El-Haj – FNP 2023
General Chair
Elias Zavitsanos, Aris
Kosmopoulos, George
Giannakopoulos, Marina Litvak,
Blanca Carbajo-Coronado,
Antonio Moreno-Sandoval, andMo El-Haj

Antonio Moreno-Sandoval, Jordi
Porta-Zamorano, Blanca CarbajoCoronado, Doaa Samy,
Dominique Mariko, andMahmoud El-Haj
Juyeon Kang, Mauli Mehulkumar
Patel, Anushka Agrawal,
Simhadri Sevitha, Srinivasa R,
Sandra Bellato, Anand Kumar M,
Ngawang DEMPA TSANG, andMo El-Haj
Jannik Fischbach, Max Adam,
Victor Dzhagatspanyan, Daniel
Mendez, Julian Frattini,
Oleksandr Kosenkov, and Parisa
Elahidoost
Neelesh K Shukla, Raghu
Katikeri, MSP Raja, Gowtham
Sivam, Shlok Yadav, Amit Vaid,
and Shreenivas Prabhakararao
Neelesh K Shukla, Raghu
Katikeri, MSP Raja, Gowtham
Sivam, Shlok Yadav, Amit Vaid,
and Shreenivas Prabhakararao

08:15 - 08:25

The Financial Document Causality Detection Shared Task
(FinCausal 2023)

08:25 - 08:35

Advancements in Financial Document Structure Extraction:
Insights from Five Years of FinTOC (2019-2023)

08:35 – 08:55

Automatic ESG Assessment of Companies by Mining and
Evaluating Media Coverage Data: NLP Approach and Tool

08:55 - 09:15

Investigating Large Language Models for Financial
Causality Detection in Multilingual Setup

09:15 - 09:35

Generative AI Approach to Distributed Summarization of
Financial Narratives

09:35 - 09:55

Summarizing Financial Reports with Positional Language
Model

10:00 - 10:20

Coffee Break

10:20 - 10:40

Topic-Sentiment Analysis of Central Bank Press
Conferences: BOJ Case Study

10:40 - 11:00

Identifying going concern issues in auditor opinions: link tobankruptcy events

11:00 - 11:20

Uncovering Inconsistencies and Contradictions in Financial
Reports using Large Language Models

11:20 - 11:40

BBVA AI Factory at FinCausal 2023: RoBERTa Fine-tuned
Model for Causal Detection

Alberto Algarra and David
Muelas

12:00 - 12:20

Humans vs ChatGPT: Evaluating Annotation Methods for
Financial Corpora
Meticulously Analyzing ESG Disclosure: A Data-Driven
Approach

Jamshed Kaikaus, Haoen Li, andRobert BrunnerVictor Yim, Yuxuan Zhang,Wenting Tan, Siu Ming Yiu, and
Tak-Wah Lam,

12:20 - 12:40

Advanced NLP Techniques for Summarizing Multilingual
Financial Narratives from Global Annual Reports

11:40 - 12:00

39

Natalia Vanetik, Elizaveta
Podkaminer, and Marina Litvak
Kazuhiro Seki, Masahiko
Shibamoto, and Takashi
Kamihigashi
Konstantinos Bougiatiotis, Elias
Zavitsanos, and Georgios
Paliouras
Tobias Deußer, David Leonhard,
Lars Hillebrand, Armin Berger,
Mohamed Khaled, Sarah Heiden,
Tim Dilmaghani, Bernd Kliem,
Rüdiger Loitz, Christian
Bauckhage, and Rafet Sifa

Dilshod Azizov, Jiyong Li, Hilal
AlQuabeh, and Shangsong Liang

12:40 - 13:00

Impact Analysis of Social Events on Industries throughNarrative Causal Search

13:00 - 13:02

Closing Remarks and Discussion

Ryotaro Kobayashi, Yuri
Murayama, and Kiyoshi Izumi
Dr Mo El-Haj – FNP 2023
General Chair

Large-scale Data Utilization in Economics of Information and Management Sciences:
Theory, Computation, and ExperimentWorkshopChairs: Naoki WatanabeTime
14:00-14:10

Title

Presenter/Author

Opening Notes: Naoki Watanabe

14:10-14:30

Conducting an Experiment at Multiple Sites with Small Subject Pools

14:30-14:50

CultureBERT: Measuring Corporate Culture with Transformer-based
Language Models

14:50-15:10

Toward a Novel Methodology in Economic Experiments: Simulationof the Ultimatum Game with Large Language Models

Kazuhito Ogawa, Yusuke
Osaki, Tetsuya Kawamura,
Hiromasa Takahashi, Satoshi
Taguchi, Yoichiro Fujii,
Kengo Kurosaka, Kohei Iyori,
Naoki Watanabe
Sebastian Koch and Stefan
Pasch
Ayato Kitadai, Yudai
Tsurusaki, Yusuke Fukasawa,Nariaki Nishino

Coffee Break
15:20-15:40
15:40-16:00
16:00-16:20

Port Arrival Reservation System Using Auctions for Fuel
Consumption Reduction
Mathematical Model Analysis of Photovoltaic-induced Land Use
Transition
Efficiency in a College Admission Experiment: A Preliminary
Simulation with Cognitive Ability Scores
Coffee Break

16:30-16:50

Does Double-entry Bookkeeping Information Generated Using
node2vec Contribute to Forecasting Future Performance?

16:50-17:10

Digital Finance, Market Competition, and Risk-Taking: A Study ofRural Commercial Banks in China

17:10-17:30

Lower Alertness entails More Competition: Evidence from Prisoner’s
Dilemma and Coordination Games

17:30-17:50

Evaluating the Alleviation of Traffic Congestion through Bus rapid
Transit Using Multi-agent Simulation

17:50-18:00

Closing Remarks: Naoki Watanabe

40

Rintaro Rai, Takuya
Nakashima, Nariaki Nishino
Yumi Watahiki, Hiroyasu
Ando, Isamu Takahara
Naoki Watanabe, Tetsuya
Kawamura, Kazuhito Ogawa
Ryoki Motai, Masato
Kamebuchi, Sora Watanabe,
Ryo Matsumoto, Yukihiko
Okada
Chonghuang Hu, Minkang Li,
Hufeng Yang, Minghao Li,
Jichao Li, Jiang Jiang
Toshio Kokubo, Nobuhito
Kon, Morimitsu Kurino,
Wakuo Saito, Natsumi
Shimada, Masashi
Yanagisawa
Zeyu Zhou, Mizuki
Kobayashi, Uta Sato, Kazuma
Akashi, Ayato Kitadai, Soma
Sugihara, Yusuke Fukasawa,
Masanori Fujita, Nariaki
NishinoCyberHunt 2023
PC-Chair: Tamas Bisztray
Workshop Chairs: Vasileios Mavroeidis, Manos Athanatos, Konstantinos Lampropoulos
Time

Title

Presenter/Author

9:55-10:00

Opening Remarks

Vasileios Mavroeidis

10:00-10:30

Hide My Payload: An Empirical Study of Antimalware Evasion Tools

Hannes Holm and Erik
Hyllienmark

10:30-11:00

A Modular Approach to Automatic Cyber Threat Attribution using
Opinion Pools

Koen Teuwen

11:00-11:30

CERBERE: Cybersecurity Exercise for Red and Blue teamEntertainment, REproducibility

Pierre-Victor Besson,
Romain Brisse, Hélène
Orsini, Natan Talon, JeanFrancois Lalande, Frédéric
Majorczyk, Alexandre
Sanchez, and Valérie Viet
Triem Tong

11:30-12:00

Automated Cyber Threat Intelligence Generation on Multi-Host
Network Incidents

Cristoffer Leite, Jerry den
Hartog, Daniel Ricardo dos
Santos, and Elisa Costante

12:00-12:30

AGIR: Automating Cyber Threat Intelligence Reporting with Natural
Language Generation

Filippo Perrina, Francesco
Marchiori, Mauro Conti,
and Nino Vincenzo Verde

12:30-14:00

Lunch Break

14:00-14:30

Assessing the Threat Level of Software Supply Chains with the Log
ModelLuis Soeiro, Thomas
Robert, and Stefano
Zacchiroli

14:30-15:00

ICS Honeypot Interactions: A Latitudinal Study

Francesco Lupia, Marco
Lucchese, Massimo Merro,and Nicola Zannone

15:00-15:30

Machine Learning–Based Security Alert Screening with Focal Loss

Samuel Ndichu, Tao Ban,
Takeshi Takahashi, andDaisuke Inoue

AMINet: An Industrial Honeynet for AMI Systems

Alexios Lekidis , Georgios
Daniil, Panagiotis
Mavrommatis, Konstantinos
Lampropoulos, andOdysseas Koufopavlou

15:30-15:50

15:50-16:00

Coffee BreakEnhancing Cybersecurity Threat Intelligence Analysis: A Visual
Approach with the Forensic Visualization Toolkit

Jihane Najar, Marinos
Tsantekidis, Aris
Sotiropoulos, and Vassilis
Prevelakis

16:20-16:40

CVE representation to build attack positions graphs

Manuel Poisson, Valérie
Viet Triem Tong, Gilles
Guette, Frédéric Guihéry,
and Damien Crémilleux

16:40-17:10

Deep Dive Research of Iranian Advanced Persistent Threats and Their
Targets

Ryan Simons

16:00-16:20

41

Evaluating Representativeness in PDF Malware Datasets: A
Comparative Study and a New Dataset

17:10-17:40
17:40-17:45

Ran Liu, Robert Joyce,
Cynthia Matuszek, andCharles Nicholas

Closing Remarks

International Workshop on Big Data Analytics for Climate ChangeWorkshop Chairs: Prof. Rajiv Misra
Workshop Date: 15/12/2023
Time: 14:00-18:30 PM
Opening Remarks by Organizers (Time: 14.00-14.30 )Time
14.30- 14.50
14.50-15.10
15.10-15.30
15.30-15.50
15.50-16.10

16.10-16.40
16.40-17.00
17.00-17.20

17.20-17.40

17.40-18.00

18.00-18.20

Title

Presenter/AuthorInteractive Visualization and Portable Image Blending ofMassive Aerial Image Mosaics
Evaluate and Compare Machine Learning Models for
Temperature Forecasting of Meteorological Data in
Hohhot.
TensorBank: Tensor Lakehouse for Foundation Model
Training
Estimating Water Storage from Images
An Early Warning System for Air Pollution Surveillance:
A Big Data Framework to Monitoring Risks Associatedwith Air Pollution

Coffee BreakAnalysis and Forecasting of Carbon Emission in SAARCCountries using Attention-based LSTM
A Graph Data Model-based Micro-ProvenanceApproach for Multi-level Provenance Exploration in Endto-End Climate Workflows
Proximal Policy Optimization based computations
offloading for delay optimization in UAV-assisted mobile
edge computing
Workload Shifting Based on Low Carbon Intensity
Periods: A Framework for Reducing Carbon Emissions in
CloudTime Series Transformer for Long Term Rainfall
Forecasting Towards Water Distribution Management in
Smart Cities.

18.20-18.30

Closing Remarks

42

Steve Petruzza
Ruyuan Han and Lei Yu
Romeo Kienzler
Ajmal Shahbaz
Shahan Salim

Anil Verma
Fabrizio Antonio
Praveen Kumar
Shivani Tripathi
Nelson Sharma,First International Workshop on Machine Learning for securing IoT systems using
BigData
Time

Title

Presenter/Author

14:05 – 14:30

A Max-Min Security Game for Coordinated Backdoor Attacks onFederated Learning

14:30 – 14:55

One to rule them all: A study of requirement management tools
supporting the development of modern AI-based software

Omar Abdel Wahab andAnderson Avila
Abdul-Rasheed Ottun,
Mehrdad Asadi, Michell
Boerger, Nikolay
Tcholtchev, Joao Fernando
Ferreira Goncalves, Dušan
Borovčanin, Bartlomiej
Siniarski, and Huber Flores

Coffee Break

15:10 – 15:35

15:35 – 16:00
16:00 – 16:05

Adaptive Intrusion Detection Systems: Class Incremental
Learning for IoT Emerging Threats
A Novel Approach to Parallel Anomaly Detection: Application in
Cybersecurity
Closing Remarks

Francesco Cerasuolo,
Giampaolo Bovenzi,
Christian Marescalco,
Francesco Cirillo,
Domenico Ciuonzo, andAntonio Pescapè
Zineb Ziani, Nahid Emad,and Ahmed Bouaziz

AI and Adaptive Computing for Edge Sensing and Processing
Workshop Chairs: Dr. Michael Barton and Dr. Venkat Dasari
Time
8:00
8:05
8:30
8:55
9:20
9:45
10:05
10:30
10:55
11:20
11:45

Title
Opening Remarks
Thoughts on Edge Sensing and Processing
Anomaly Detection as a Data Reduction Approach for Test Event
Analysis at the Edge
Deep learning acceleration at the resource-constrained tactical edge
Predictive Modeling of Run Time for Model and Data Distributed
Inferencing Using Gradient Boosting Regression
Coffee BreakMeasuring Data Transmissions from the Edge for Distributed
Inferencing with gRPC
Real-Time Camera-to-Lidar Calibration for Autonomous Robotic
Systems at the Edge
Performance evaluation of 3D point cloud matching with shortrange
dense 2D range sensor
Enhancing Edge Intelligence with Highly Discriminant LNT Features
Closing Remarks

Presenter/Author
Dr. Michael Barton
Mariya Occorso
Brian Rapp
Cleon Anderson

Scott Brown
Dr. Venkat DasariProf. Ju Wang
Prof. Xinyu Wang

BigCyber – 2023
Date: December 16, 2023
Time Zone: Sorrento, Italy UTC/GMT +1 hour (14:00 – 18:00 CET)Workshop Chairs: Karuna Pande Joshi, Sudip Mittal, Rajeev Agrawal, and Lavanya Elluri
Opening Remarks
Time
Title
Presenter/Author
14:00 –
Analyzing Data Sets for ML-driven Fraud Detection in SAP
Jonas Schnepf, Bernd
14:25
Systems
Scheuermann, and Paula Vetter
14:25 –ODTT: Optimized Dynamic Taxonomy Tree with
Yijie Gui, Qizhi Chen, Wensheng
14:50
Differential Privacy
Gan, and Yongdong Wu

43

14:50 –15:15

Distributed Continual Intrusion Detection: A Collaborative
Replay Framework

15:15 –
15:40

EEG Signal-Based Authentication: A Performance
Evaluation of Feature Extraction and Classification
Techniques

15:40 –
16:05

IoT Botnet-Traffic Classification Using Few-Shot Learning

Kamil Faber, Bartlomiej
Sniezynski, and Roberto Corizzo
Rahul Nagarajan, Malemsana
Thokchom, Abdullah Irfan
Siddiqui, and Mohammed Iftekhar
HusainDavide Di Monda, Giampaolo
Bovenzi, Antonio Montieri, Valerio
Persico, and Antonio Pescapè

16:05 –
16:20
16:20 –
16:45

Hierarchical Federated Transfer learning and Digital Twin
Enhanced Secure Cooperative Smart Farming

16:45 –
17:10

Pruning Federated Learning Models for Anomaly Detection
in Resource-Constrained Environments

17:10 –
17:35

An Experimental Study on Random Projection Based
Biometric Security

Rishabh Shukla and Harkeerat Kaur

17:35 –
18:00

Improving Fingerprint Classification Accuracy Using Image
Enhancement Deep Learning Models

Nikita Dalvi, Min Kyung
An, ABM Rezbaul Islam, and Van
Vung Pham

Coffee BreakLopamudra Praharaj, Maanak
Gupta, and Deepti Gupta
Simone Magnani, Stefano Braghin,
Ambrish Rawat, Roberto DoriguzziCorin, Mark Purcell, and Domenico
Siracusa

Closing Remarks

Workshop AIDA (AI-Driven Agriculture: opportunities and challenges)December 17, 2023
WorkshopChairs: Vijaypal Singh Dhaka, Geeta Rani, Eugenio Vocaturo, Ester Zumpano
Time
Title
Presenter/Author
8:15

Workshop Introduction
Session 1 (hybrid) Chair: Eugenio Vocaturo

8:15-8:30
8:30-8:45

8:459:00
9:00-9:15

9:15-9:30

9:30 – 9:45
10:00-10:30
10:30-11:00

S24209AI-Driven Agriculture: Opportunities and Challenges
S24204
From Satellites to Fields: Machine Learning Applications for
Prediction of Corn Production Using NDVI, Precipitation andLand Surface Temperature for Large Producer Countries
S24205Integrating Climate Variable Data in Machine Learning Models
for Predictive Analytics of Tomato Yields in California
S24208Precision Grazing: when Agriculture, Livestock and Technology
unite
S24210
Crop Loss Estimation in Maize Agriculture: A Deep Learning
Perspective
S24211
Synergizing Measurement Science and Artificial Intelligence in
Smart Agriculture
Coffee Break

Eugenio Vocaturo, Geeta Rani, Vijaypal
Singh Dhaka, and Ester Zumpano,Saniya Nangia, Thilanka Munasinghe,
Heidi Tubbs, and Assaf Anyamba
Tianze Zhu, Junyi Wu, Harry Tan, BillWang, Thilanka Munasinghe, Heidi
Tubbs, and Assaf Anyamba,
Oscar Tamburis, Mario Magliulo, Adriano
Tramontano, Giulio Perillo, Arriel Benis,
and Serena Calabrò,Geeta Rani, Vijaypal Singh Dhaka,
Eugenio Vocaturo, and Ester Zumpano,Francesco Lamonaca and Domenico
Luca Carnì,Invited Talk: Oscar Tamburis
Oscar Tamburis: Cultivating the Future: Pioneering the Landscape of Precision Agriculture

Session 2 (in presence) Chair: Eugenio Vocaturo11:00- 11:15

BigD409
A low-cost IoT-based Smart Farming System For Crop
Recommendation and Resource Management

44

Daniel Timko, Adityan Elangovan, Aruna
Elangovan, Mike Sharko, and Ali
Ahmadinia,

11:15 – 11:30

BigD478
Artificial Intelligence-Based Plant Breeding using Genotype andPhenotype Data: Methods and Future Work

11:30- 11:45

S24212
Tracking and Predicting Productions in Agricultural Processes:
Applications and Experiences

Jiho Choi, Sung-Woo Byun, Taehoon
Lim, Hye In Lee, Hwa Seon Shin, Geon
Woo Kim, Jin-Kyung Kwon, and ByoungCheorl Kang,
Patrizia Vizza, Giuseppe Timpano,Francesco Vescio, Gianmichele Caligiuri,
Fulvia Caligiuri, Pasquale Lambardi,
Pierangelo Veltri, Pietro Hiram Guzzi,
and Giuseppe Tradigo,

Session 3 (hybrid) Chair: Eugenio Vocaturo11:45 – 12:00
12:00 – 12:15
12:15 – 12:30

S24203
Deep Machine Learning on Segmenting and Classifying Crop
Images Taken by Unmanned Aerial Vehicle
S24202
Transforming Agriculture with Intelligent Data Management andInsights
S24207Visualization of 3D Hyperspectral Soil Mapping Data via
Autoencoder-based Clustering
Closing Remarks

Dan Lo, Bobin Deng, and Yong Shi,
Yu Pan, Jianxin Sun, Hongfeng Yu,
Geng Bai, Yufeng Ge, Joe Luck, andTala Awada,
Jianxin Sun, Xinyan Xie, Yu Pan, Yakub
Islamov, Yufeng Ge, and Hongfeng Yu,

International Workshop on Data Engineering and Modeling for AI (DEMAI)
Workshop Chairs: Carlos Ordonez, Ladjel Bellatreche

Time
14:30
14:35
14:55
15:15
15:35
16:00
17:00
17:10
17:20
17:40

Title

Presenter/Author

Welcome, program overview

ChairsCombining fault-tolerant persistence and low-latency streaming accessto binary data for AI models
Using Data Enrichment to Extend Urban Data with High-quality
Geospatial Data for Advanced City Planning: a Pilot Study
A multi-source graph database to showcase a recommender system fordyslexic students

Gabriele Scaffidi Militone
Dessislava Petrova-Antonova
Karim El Hage

Coffee Break
Panel: how can modern database systems help AI.?
LLMs with User-defined Prompts as Generic Data Operators for
Reliable Data Processing

4 invited speakers + moderator
Online: Luyi Ma
Online: Hailu Xu

Fast Meta Failure Recovery for Federated Meta-LearningOpen floor discussion on DEMAI scope, submitted/accepted papers,
DKE special issue
Closing Remarks: DEMAI next year (PC, DKE)

Chairs7th International Workshop on Big Data Analytics for Cyber Intelligence and Defense (BDA4CID)
Stephen McGough, Amir Atapour-Abarghouei, David Wall

Time

Title

08:00 – 8:20

Welcome

8:20 – 8:45

Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users

45

Presenter/Author
Hina Qayyum, Muhammad Ikram, Benjamin
Zi Hao Zhao, Ian Wood, Nicolas Kourtellis,
and Mohamed Ali Kaafar,

8:45 – 9:10

On mission Twitter Profiles: A Study of Selective Toxic Behavior

9:10 – 9:35

Improving Cybersecurity Awareness: Tweet Classification using
Multilingual Sentence Embeddings and Contextual Features

9:35 – 10:00

Clean-label Poisoning Attack against Fake News Detection Models

10:00 – 10:20
10:20 – 10:45

Coffee BreakDefending Federated Learning Against Model Poisoning Attacks
A Cascade CNN Model based on Adaptive Learning Rate
Thresholding for Reliable Face Recognition
Transformer-based LLMs in Cybersecurity: An in-depth Study on Log
Anomaly Detection and Conversational Defense Mechanisms
Complementary Attention-Based Deep Learning Detection of Fake
Faces
Closing Remarks

10:45 – 11:10
11:10 – 11:35
11:35 – 12:00
12:00 – 12:15

Hina Qayyum, Muhammad Ikram, Benjamin
Zi Hao Zhao, Ian Wood, Nicolas Kourtellis,
and Mohamed Ali Kaafar
Anastasia Cotov, Carlo Bono, Cinzia
Cappiello, and Barbara Pernici
Jiayi Liang, Xi Zhang, Yuming Shang,
Sanchuan Guo, and Chaozhuo Li
Ibraheem Aloran and Saeed SametImen Labiadh, Larbi Boubchir, and Hassene
SeddikPrasasthy Balasubramanian, Justin Seby, andPanos Kostakos
Supriyo Sadhya and Xiaojun Qi

2nd International Workshop on Big Data Analytics for Health and Medicine (BDA4HM)
Stephen McGough, Matthew Forshaw and Amir Atapour Abarghouei

Time

Title

14:00 – 14:05

Welcome14:05 – 14:25

Data Poisoning Attacks over Diabetic Retinopathy Images
Classification

14:25 – 14:45
14:45 – 15:05
15:05 – 15:25

Presenter/Author

Towards automatic identification of self-reported COVID-19 tweets:
Introducing a multilingual manually annotated dataset, baseline
systems and exploratory evaluations
A Novel Ensemble-Based Framework for Feature Identification andClassification of COVID-19 Electronic Health Record Data
Forecasting COVID-19 Hotspots in Florida Public Schools: A
Machine Learning Approach for Informed Decision-Making

15:25 – 15:45

Enhancing Vocal-Based Laryngeal Cancer Screening with Additional
Patient Information and Voice Signal Embedding

15:45 – 16:05

Recent Artificial Intelligence Advances in Detection and Diagnosis of
Sickle Cell Disease: A review

16:05 – 16:20
16:20 – 16:40

Coffee Break
Exploring the Value of Pre-trained Language Models for ClinicalNamed Entity Recognition

16:40 – 17:00

Interpretable and robust hospital readmission predictions from
Electronic Health Records

17:00 – 17:20

NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal
Muscle Biopsies

17:20 – 17:40

How much data do I need? A case study on medical data

17:40 – 18:00

Graph Encoding-Enhanced Transformer for Drug Recommendation

18:00 – 18:10

Closing Remarks

Marcello Di Giammarco, Francesco
Mercaldo, Antonella Santone, and Fabio
Martinelli
Ramya Tekumalla, Luis Alberto Robles
Hernandez, and Juan Banda
Asmita Mahajan and Durga Toshniwal
Mingming Peng, Hongmei Chi, and Askal
Ali
Jaemin Song, Yong Oh Lee, Seho Park,
Youn Kyu Lee, Hansang Park, and HyunBum Kim
Abdourahmane Balde, Avewe Bassene,
Lamine Faty, Mamadou Soumboundou,
Ousmane Sall, and Youssou Faye
Samuel Belkadi, Lifeng Han, Yuping Wu,
and Goran Nenadic
Hugo Calero, Rebeen Hamad, Christian
Atallah, John Casement, Dexter Canoy, Nick
Reynolds, Michael Barnes, Paolo Missier,and The AI-MULTIPLY Consortium,
Atif Khan, Conor Lawless, Amy Vincent,Charlotte Warren, Valeria Di Leo, Tiago
Gomes, and A. Stephen McGough
Ayse Betul Cengiz and Andrew Stephen
McGough
Xunsheng Cai, Syauki Thamrin, and Arbee
Chen

3rd International Workshop on Big Data Analytics for Sustainability (BDA4S)
Stephen McGough, Matthew Forshaw, Gavin Shaddick, Hao Dong

Time

Title

46

Presenter/Author

14:00 – 14:05

Welcome14:05 – 14:25

Explainable Deep Learning for Smart Grid Stability Detection

14:25 – 14:45

The Forecastability of Underlying Building Electricity Demand fromTime Series Data

14:45 – 15:05

Forecasting Resource Demand for Dynamic Datacenter Sizing inTelco Infrastructures

15:05 – 15:25
15:25 – 15:45
15:45 – 16:05
16:05 – 16:30

Natural Language Processing to Understand Human Activities
Impacted by Hydroelectric Energy Projects
Wireless Sensor Networks Calibration using Attention-based Gated
Recurrent Units for Air Pollution Monitoring
A Methodology and a Toolbox to Explore Dataset related to theEnvironmental Impact of HTTP Requests
Coffee Break

16:30 – 16:50

Detection of methane plumes using Sentinel-2 satellite images anddeep neural networks trained on synthetically created label data

16:50 – 17:10

Energy-Aware Query Processing: A Case Study on Join Reordering

17:10 – 17:30
17:30 – 17:50

Is Active Learning Green? An Empirical Study
Explainable Long-Term Forecasting of Air Pollution
Counterfactual Analysis: A Case Study on Impact of External Eventson Building Energy Consumption
Closing Remarks

17:50 – 18:10
18:10 – 18:20

Giovanni Ciaramella, Fabio Martinelli,Francesco Mercaldo, and Antonella Santone
Mohamad Khalil, A. Stephen McGough,Hussain Kazmi, and Sara Walker
Dimitra Paranou, Angelos Pentelas, Dimitris
Katsiros, Konstantinos Maidatsis, George
Giannopoulos, Evangelos Angelou, Nikos
Anastopoulos, and George Papastefanatos
Keshava Pallavi Gone, Yan Chen, andMichael Smit
Shagufta Henna, Asif Yar, and Kazeem
SaheedChristophe Cerin, Mathilde Jay, Laurent
Lefevre, and Denis Trystram
Maciel Zortea, Joao Lucas de Sousa
Almeida, Levente Klein, and Alberto Costa
Nogueira JuniorLadjel Bellatreche, Fouad Djellali, Wojciech
Macyna, and Carlos Ordonez
Shirin Salehi and Anke Schmeink
Abdul Mutakabbir and Samuel A. Ajila
Carolina Minami Oguchi, Dipak Ghosal,
Alex Sim, and Kesheng Wu

BigData Applications for Fights against Crime and Terrorism (DBA4FCT)
WorkshopChairs: Georgios Stavropoulos – Konstantinos Votis

Time

Title

Presenter/Author

14:00 – 14:15

Workshop introduction

14:15 – 14:35

Cybersecurity in Public Space: Leveraging CNN and LSTM for
Proactive Multivariate Time Series Classification

Georgios Stavropoulos
Aimen Ahmed AL Odaini, Francesco Zola,
Lander Segurola, Amaia Gil, Carmen
D'Andrea

14:35 – 14:55

Visual inspection for illicit items in X-ray images using Deep
Learning

14:55 – 15:15

Harvesting Large Textual and Multimedia Data to Detect Illegal
Activities on Dark Web Marketplaces

15:15 – 15:35

Visual Data Engineering for Conflict and Terrorism Prediction

15:35 – 15:55
15:55 – 16:15
16:15 – 16:35

16:35 – 16:55

16:55 – 17:15
17:15 – 17:35

Self-supervised visual learning for analyzing firearms trafficking
activities on the Web
Coffee break
Vision Paper: Uncovering Illegal Firearm Transactions in
Cryptocurrency Networks
The Nexus Between Big Data Analytics and the Proliferation of Fake
News as a Precursor to Online and Offline Criminal Activities
Unveiling Conversational Patterns: Intent Classification and
Clustering in Reddit’s Firearm Trade Community
General Risk Index: A Measure for Predicting Violent Behavior
Through Written Communication

47

Georgios Th. Papadopoulos
Georgia Chatzimarkaki, Sophia Karagiorgou,
Mariza Konidi, Dimitrios Alexandrou,
Thanassis Bouras, Spyridon Evangelatos
Antonella Calo, Matteo Lia, Marco
Zappatore, Antonella Longo
Georgios Th. Papadopoulos
Anastasia Kassiani Blitsi
Spyros Evangelatos, Thanasis Papadakis,
Nikolaos Gousetis, Christos Nikolopoulos,
Petrina Troulitaki, Nikos Dimakopoulos,
George Bravos, Michael V. Lo Giudice, Ali
Shadma, and Alberto Aziani
Maria Makrynioti
Lisa Kaati, Amendra Shrestha, and Nazar
Akrami17:35 – 17:55
17:55 – 18:10

Investigating Visual Analytics against Terrorist Financing in Dark
Web Marketplaces
Closing remarks

Georgios Th. Papadopoulos
Georgios Stavropoulos

1st International Workshop on Dataspaces for Digital Twins of Cities Critical Infrastructures(DS4DTCCI)
Workshop Chairs: Antonella Longo, Marco Zappatore

Time
09:00 – 09:20
09:20 – 09:40

Title

Presenter/Author[S33201] Digital Twin supporting Blockchain in construction supply
chain: from bio-based materials to energy efficiency and L.C.A.
[S33206] Generating large-scale human flow datasets from measured
pedestrian movement data and simulation

Angelica Rocco
Mei Takeda, Masaki Onishi

09:40 – 10:00[S33209] Digital Twin Space: The Integration of Digital Twins andData Spaces

Alessandra Somma, Alessandra De
Benedictis, Marco Zappatore, CristianMartella, Angelo Martella, Antonella Longo

10:00 – 10:20[S33208] CkanFAIR: a digital tool
for assessing the FAIR principles

Matteo Lia, Davide Damiano Colella

10:20 – 10:40
10:40 – 11:00
11:00 – 11:20
11:20 – 11:40
11:40 – 12:00
12:00 – 12:15

Break[S33202] Supply-Demand Analysis of Urban Amenities Based on
Walking Accessibility[S33210] Identifying key factors in designing data spaces for Urban
Digital Twin Platforms: a data driven approach[S33211] Cases Vs Deaths: Which Indicators To Assess The
Effectiveness Of Non-Pharmaceutical Interventions During Covid-19
Pandemic?
[S33212] Advancing Resilience in Green Energy Systems:
Comprehensive Review of AI-based Data-driven Solutions for
Security and Safety
Closing Remarks

Kaloyan Karamitov, Dessislava PetrovaAntonova, Emil Hristov, Milena Borukova
Cristian Martella, Angelo Martella,Amro Issam Hamed Attia Ramadan
Divya Pragna Mulla, Mario Alessandro
Bochicchio, Antonella Longo
Amro Issam Hamed Attia Ramadan,
Ali Aghazadeh Ardebili, Antonella Longo,
Antonio Ficarella

LLM/FM 2023: From Theory to Practice: Workshop on Large Language and Foundation Models
Dhaval Patel, Rafet Sifa
Time

8:00 AM : 8;15 AM
8:15 AM : 8;30 AM

Title

Presenter/Author

Welcome
Wealth of Nations, Wealth of Data: How GDP Shapes Diverse Large
Language Models like ChatGPT
Enabling Dataspaces Using Foundation Models: Technical, Legal andEthical Considerations and Future Trends

8:30 AM : 8:45 AM

Model-as-a-Service (MaaS): A Survey

8:45 AM : 9;00 AM

TRANSQLATION: TRANsformer-based SQL RecommendATION

9:00 AM : 9:15 AM

GPT-in-the-Loop: Supporting Adaptation in Multiagent Systems

Dhaval Patel, Rafet Sifa
Alex Kaplunovich
Mohan Timilsina
Wensheng Gan, Shicheng Wan, and Philip
S. Yu
Shirin Tahmasebinotarki, Amir H.
Payberah, Ahmet Soylu, Dumitru Roman,
and Mihhail Matskin
Nathalia Nascimento, Paulo Alencar, andDonald Cowan

Coffee Break

9:30 AM : 9:45 AM

Hallucination-minimized Data-to-answer Framework for Financial
Decision-makers

48

Sohini Roychowdhury, Andres Alvarez,
Brian Moore, Marko Krema, Maria Paz
Gelpi, Federico Martin Rodriguez, Angel
Rodriguez, Jose Ramon Cabrejas, Pablo
Martinez Serrano, Punit Agrawal, andArijit Mukherjee9:45 AM : 10:00
AM

Unsupervised Style Transfer of Modern Hebrew using Generative
Language Modeling and Zero-Shot Prompting

10:00 AM : 10:15
AM

Towards Automated Regulatory Compliance Verification in Financial
Auditing with Large Language Models

10:15 AM : 10:30
AM

Comparing Generative Chatbots Based on Process Requirements: A
Case Study

10:30 AM : 10:45
AM
10:45 AM : 11:00
AM

Generating Prototypes for Contradiction Detection Using Large
Language Models and Linguistic Rules
Anaphoric Ambiguity Resolution in Software Requirement Texts

Pavel Kaganovich, Ophir Munz-Manor,and Elishai Ezra Tsur
Armin Berger, Lars Hillebrand, David
Leonhard, Tobias Deußer, Thiago Bell
Felix de Oliveira, Tim Dilmaghani,
Mohamed Khaled, Bernd Kliem, Rüdiger
Loitz, Christian Bauckhage, and Rafet Sifa
Luis Fernando Lins, Nathalia Nascimento,
Paulo Alencar, Toacy Oliveira, and Donald
Cowan,
Maren Pielka, Svetlana Schmidt, and Rafet
Sifa
savas yildirim, Mucahit Cevik, sanaz
Mohammad Jafari, and Ayse Başar

Closing Remarks

Workshop AIPowered Renewable Energy Forecasting: Techniques and Challenges
December 17, 2023
WorkshopChairs: Luciano Caroprese, Sergio Montelpare, Mariano Pierantozzi, and Ester Zumpano
Time

Title

8:30

Presenter/Author

Workshop Introduction
Session 1 (in presence) Chair: Luciano Caroprese

8:30-8:45

8:45-9:00

09:00-9:15

9:15 – 9:30
9:30 – 9:45

9:45 – 10:00
10:00-10:30

10:30 – 10:45

10:45 – 11:00
11:00 – 11:15

S32201
Embedding Climate Dynamics and Prediction with Deep
Learning for Wind Power Forecasting: Short-Term to Long-Term
Perspective
S32202
Windfarm Forced Oscillation Detection Using
Hyperdimensional Computing
S32212
Navigating the Future Data-Driven Automation Tools: State-ofthe-Art and Research Roadmap for Digital Twins of Energy
Systems
S32211
A Big Data Platform for the Management of Local Energy
Communities Data
S32210A Deep Learning Approach for Climate Parameter Estimations
and Renewable Energy Sources

Hana Kim, Yong Oh Lee, Changsoo Ok,
Dongkyun Kim, and Seungyup Baek,
Shyam Yathirajam, Arash Peighambari,
Ruben Roberts, Hamed Nademi,
Sreedevi Gutta, Justin Morris, and Ali
Ahmadinia,
Ali AGHAZADEH ARDEBILI, Antonella
Longo, and Antonio Ficarella,
Sonia Bergamaschi and Luca
Gagliardelli,
Camilla Lops, Mariano Pierantozzi,
Luciano Caroprese, and Sergio
Montelpare,

Invited Talk: Eugenio Vocaturo
Unlocking the Potential of Artificial Neural Networks in Dye Absorption Prediction

Coffee BreakSession 2 (online) Chair: Ester Zumpano
S32209A focuses review of ANN-based models for Predicting
Absorption Maxima (λmax) of Dyes
S32204
An Integrated ML-Ops Framework for Automating AI-based
Photovoltaic Forecasting
S32207
A Power Quality Event Classifier Based on Convolutional
Neural Network

49

Geeta Rani, Neeraj Tomar, Vijaypal
Singh Dhaka, Praveen K. Surolia,
Eugenio Vocaturo, and Ester Zumpano,
Symeon Chorozoglou, Elissaios Sarmas,
and Vangelis Marinakis,
Francesco Lamonaca and Domenico
Luca Carnì,11:15 – 11:30

11:30 – 11:45
11:30 – 11:45
11:30 – 11:45

S32208
Secure and Energy Efficient Filtered Over-the-Air Internet ofThings Setup in a Wireless Mesh Network for Firmware
Freshness
S32203
Enhanced Segmentation of PV Arrays in Infrared Images using
an Improved SegFormer Approach
S32205
Physics Fundamentals of an Internet of Nanomedicine Things
S32206
Kirchhoff’s Voltage Law at Neural Synapse From Electric
Currents Based at Neurotransmiters

Lorenzo Carnevale, Annamaria Ficara,
Gianluca Catalfamo, Antonino Galletta,
Maria Fazio, and Massimo Villari,
Wanghu Chen, Shengfang Jin, Yihua
Luo, and Jing Li,
Huber Nieto-Chaupis,
Huber Nieto-Chaupis,

Closing Remarks

IEEE Big Data Workshop on Multimodal Artificial Intelligence (MMAI 2023)
Dec. 16 10:30-18:00(Conference Room: Nettuno 3)
Workshop Chair: Duoduo Liao
Web link: https://www.comstar-tech.org/workshops/2023/workshop_2023_MMAI.html
Time(GMT+1)

Session I
10:30 – 12:30

Session II
14:00 – 16:00

Title

Presenter/Author

Opening Remarks
LoRA-like Calibration for Multimodal Deception Detection using
Shun-Wen Hsiao and Cheng-Yuan Sun
ATSFace Data
Multimodal Large Language Models: A Survey
Jiayang Wu, Wensheng Gan, Zefeng Chen,
Shicheng Wan, and Philip S. Yu
Semantic Prompt Based Multi-Scale Transformer for Few-Shot
Hongwu Liu, Shouhong Wan, Peiquan Jin, andClassification
Xin Wang
Yuri Gordienko, Nikita Gordienko, Oleksandr
Impact of Mixed Multimodalities and Size Dependence on
Rokovyi, Oleg Alienin, Andrii Polukhin, andPerformance of Object Detection on Multimodal Satellite Imagery
Sergii Stirenko
Sofia Karamintziou, Thanassis Mavropoulos,
Neural Crystals
Dimos Ntioudis, Georgios Meditskos, Stefanos
Vrochidis, and Ioannis (Yiannis) Kompatsiaris
CLIP-PubOp: A CLIP-based Multimodal Representation Fusion
Zhibo Wang, Yi Guo, and Jiaojiao Fu
Method for Public Opinion
Audio-visual Neural Face Generation with Emotional Stimuli
Juheon Hwang and Jiwoo Kang
Lunch Break
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion
Gaurav Shinde, Rohan Mohapatra, Pooja Krishan,
Battery Health Prognostics
and Saptarshi Sengupta
Roberto Corizzo, Nora Lewis, Lucas P.
Multimodal One-class Learning for Malicious Online Content
Damasceno, Allison Shafer, Charles C.
Detection
Cavalcante, and Zois Boukouvalas
Exploiting Multiple Sequence Lengths in Fast End to End Training for
Jia Cheng Hu, Roberto Cavicchioli, andImage Captioning
Alessandro Capotondi
Evaluating CLIP: Understanding on Relationships in a Blocks World
Kairui Zhang and Martha Lewis
New Finger Photo Databases with Presentation Attacks and
Demographics
Anudeep Vurity and Emanuela Marasco
Understanding the Language of ADHD and Autism Communities on
Niloofar Kalantari, Amirreza Payandeh, Marcos
Social Media
Zampieri, and Vivian Genaro Motti
Gender Classification Accuracy via Two-Dimensional Body Joints
using Convolutional Neural Networks
Cheng-En Sung and Nada Attar
Coffee Break50

Session III
16:00 – 18:00

Late Fusion-based Distributed Multimodal Learning
A Supervised Autoencoder for Human Activity Recognition with
Inertial Sensors
Using the CARLA Simulator to Train A Deep Q Self-Driving Car toControl a Real-World Counterpart on A College Campus
Enhancing Scientific Image Classification through Multimodal
Learning: Insights from Chest X-Ray and Atomic Force Microscopy
Datasets
Character-based Outfit Generation with Vision-augmented styleextraction via LLMs
Predicting Potential School Shooters from Social Media Posts
Closing Remarks

Flavio Giobergia and Elena Baralis
Jaehyeok An, Younghoon Kwon, and Yoon-Sik
Cho
Joseph May, Khem Poudel, Samir Poudel, Sammi
Hamdan, and Jorge Vargas
David Meshnick, Nahal Shahini, Debargha
Ganguly, Yinghui Wu, Roger French, and Vipin
Chaudhary
Najmeh Forouzandehmehr, Yijie Cao, Nikhil
Thakurdesai, Ramin Giahi, Luyi Ma, Nima
Farrokhsiar, Jianpeng Xu, Evren Korpeoglu, andKannan Achan
Alana Cedeno, Rachel Liang, and Sheikh Rabiul
Islam

1st Workshop on AI Music Generation (AIMG 2023)
Dec. 17 14:00-18:00
Workshop Chair: Callie Liao, Lindi Liao

(Conference Room: Ravello)
Web link: https://www.intellisky.org/workshops/workshop_AIMG2023.html
Time(GMT+1)
Session I
14:00 – 14:50

Session II
14:50 – 16:20

Session III
16:20 – 15:30

Title

Presenter/Author

Opening Remarks
Musical Elements Enhancement and Image Content Preservation
Wenzhao Liu and Dechao Meng
Network for Image to Music Generation
AI Music Showcase
Things, Objects, Subjects and Stuff: IoMuSt and Ubimus Perspectives
Marcello Messina and Luzilei Alielon AI
Equipping Pretrained Unconditional Music Transformers with
Weihan Xu, Julian McAuley, Shlomo Dubnov,
Instrument and Genre Controlsand Hao-Wen Dong
Automatic Time Signature Determination for New Scores Using
Callie Liao, Duoduo Liao, and Jesse Guessford
Lyrics for Latent Rhythmic Structure
AI-Algorithmically-Generated Song with Lyrics
Callie Liao
AI Music Showcase
Music Generation using Human-In-The-Loop Reinforcement
Aju Ani Justus
Learning
Music Generation Using Deep Learning
Shanmukh Krishna B, Satya Sai Roopa Sree
Chiluvuri, Sai Sri Harshini Kosuri, Sai Sree
Harsha Chimbili, and Mahima Agumbe Suresh
Snake in the Labyrinth: Scenes from the Machine’s Deep Q-Learning
Jeffrey Morris
Experience
AI Music Showcase
Let the "perfect voice" always be there, positive affirmation andYingzixuan Zhang, Kaixuan Niu, and Zhian Zhao
negative anxiety from online commentary
AI Music Showcase
Closing Remarks & Award Announcements

The 7th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA³ 2023)
Workshop Chairs: Jiejun Xu, Hanghang Tong, Andrea Bertozzi, Vince Lyzinski, George Chin, Hang Liu, Tyler Derr

51

Time (CET)

Title

Presenter/Author

14:50

Opening Remarks

Workshop organizers

15:00
15:40
16:20

Keynote 1: Data-Centric AI for Real-World Graph
Applications
Keynote 2: Ultra-Low-Latency Graph Neural Networks:
Applications and Implementations
AutoKG: Efficient Automated Knowledge Graph
Generation for Language Models

16:35

Hate Speech And Hate Crimes: A Data-Driven Study Of
Evolving Discourse Around Marginalized Groups

16:50

Coffee Break

17:00

Keynote 3

17:40
18:20
18:35
18:50

Keynote 4: High-Performance Intelligent Big Data
Analytics
Hybrid Attack Graph Generation with Graph
Convolutional Deep-Q Learning
Learning Explainable Multi-view Representations for
Malware Authorship Attribution

Prof. Tyler Derr (Vanderbilt)
Prof. Callie Hao (Georgia
Tech)
Bohan Chen and Andrea
Bertozzi
Malvina Bozhidarova, Jonathn
Chang, Aaishah Ale-Rasool,
Yuxiang Liu, Chongyao Ma,
Andrea Bertozzi, Jeffrey
Brantingham, Junyuan Lin, andSanjukta Krishnagopal

Prof. Sameer Singh (UCI)
Prof. Hang Liu (Rutgers)
Sam Donald, Rounak Meyur,and Sumit Purohit
Irsyad Adam, Alex Waagen,Dana Warmsley, and Jiejun Xu

Closing

Third International Workshop on Data science for equality, inclusion and well-being challenges
WorkshopChairs: Tania Cerquitelli, Genoveva Vargas-Solar, Arianna Montorsi, Claudia De Giorgi
Session Chair: Greta Temporin
December 15th, 2023 – 14:00-18:00

Time

Title

14:00 – 14:15

Opening
Recommendation fairness and where to find it: An empirical study on
fairness of user recommender systems
Antonela Tommasel and Ira Assent
GINN: Towards Gender InclusioNeural Network
Matteo Berta, Bartolomeo Vacchetti, and Tania Cerquitelli,Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing
Fairness-Aware and Domain Knowledge-Infused Artificial
Intelligence
Tejas Venkateswaran, Sheikh Rabiul Islam, Md Golam Moula Mehedi
Hasan, and Mohiuddin Ahmed
Assessing relative contribution of Environmental, Behavioural andSocial factors on Life Satisfaction via mobile app data
Gregor Milligan, John Harvey, Liz Dowthwaite, Elvira Perez Vallejos,
Georgiana Nica-Avram, and James Goulding

14:15 – 14:30
14:30 – 14:45

14:45 - 15:00

15:00 - 15:15

52

Presenter/Author
Antonela Tommasel
Matteo Berta

Sheikh Rabiul Islam

Gregor Milligan

15:15 - 15:30

15:30 – 15:45

15:45 - 16:00
16:00-16:30
16:30 - 16:45
16:45 - 17:00
17:00 – 17:15

17:15 – 17:30

17:30 – 17:45
17:45-18:00

Developing a Large-Scale Language Model to Unveil and Alleviate
Gender and Age Biases in Australian Job Ads
Ruochen Mao, Liming tan, and Rezza Moieni
Introducing Computational Thinking in Middle-Schools using a
Culturally-responsive Game through a Researcher-Practitioner
Partnership
Ismael Villanueva-Miranda, Katherine Mortimer, Monika Akbar,
Romelia Rodriguez Reyes, Cynthia Ontiveros, Scott Gray, Pedro
Delgado, Victor Medrano, Melissa Anderson, Jacob Ramirez, andJesus Vazquez
Towards organizational change: a framework for evaluating trends andapproaches in Gender Equality Plans
Greta Temporin and Alessandra Colombelli,
Coffee BreakA Perspective on Data Categorization with Regard to Equity,
Diversity, and Inclusion in Data Science
Cécile Favre and Marie Vialaret
Mitigating Representation Bias in Data Transformations: a Constraintbased Optimization Approach
Barbara Catania, Giovanna Guerrini, and Ziad Janpih
Detecting anomalous suppliers in electronic procurement systems
using GAAN
Eduardo Cruz, Natalia Ramirez, Emanuel Parra, and Daniel Ochoa
Exploring factors influencing the adoption of in-home respite services:
A data science approach
Stephen Cheng, Clio Yuen Man Cheng, Dah Ming Chiu, Alice Ming
Lin Chong, and Vivian W Q Lou,
Intentional Youth Development Activities and Peer Effects in a Gang
Prevention Program
Haoran Jia, Haoyu Li, Xinyue Li, Xiaoxian Shen, Yichen Wang,
Zichun Liao, Andrea L. Bertozzi, P. Jeffrey Brantingham, and Jona
Lelmi
Closing Remarks

Ruochen Mao

Monika Akbar

Greta Temporin

Cécile Favre
Ziad Janpih
Eduardo Cruz

Stephen Cheng

Jona Lelmi

Special Session
9th Special Session on Information Granulation in Data Science and Scalable Computing
in conjunction with Big Data Cup Session on
Object Recognition with Muon Tomography using Cosmic Rays
Day 1: Friday, December 15, 2023 (Session Chair: Dominik Ślęzak)Time
8:00-8:20

Title[SP09204] Time and Space Complexity of Deterministic
and Nondeterministic Decision Trees. Local Approach

8:20-8:40
8:40-9:00
9:00-9:20[SP09211] Mining Rare Utility Patterns within Target Items[SP09202] Data Streaming in Concept-Dependent
Granulation[SP09215] Using Hospital Information System Data to
Estimate Nursing Care Needs

53

Presenter/Author
Kerven Durdymyradov,Mikhail Moshkov
Yixin Xu, Cuiwei Peng,
Jiahui Chen, WenshengGan, Shicheng Wan
Radosław Cybulski, Piotr
Artiemjew
Shusaku Tsumoto, Hiroyuki
Ikedo, Tomohiro Kimura,
Shoji Hirano

9:20-9:40[SP09201] Effective Face Inpainting by Conditional
Generative Adversarial Network

Tzung-Pei Hong, Jin-Hang
Wu, Ja-Hwung Su, TangKai Yin

Day 1: Friday, December 15, 2023 (Session Chair: Dominik Ślęzak)
Time

Title

9:50-10:10[SC02202] IEEE BigData Cup 2023 Report: Object
Recognition with Muon Tomography Using Cosmic Rays
[SC02203] Iterative Deep Learning for Muon Scattering
Tomography[SC02201] Breaking the U: Asymetric U-Net for Object
Recognition in Muon Tomography

10:10-10:30
10:30-10:50
10:50-11:10[SP09206] Explainability of Leverage Points Exploration for
Customer Churn Prediction

11:10-11:30[SP09213] USER: Towards High-Utility Sequential Rules
with Repetitive Items

11:30-11:50[SP09203] Accelerating Web-based Graph Visualization
with Pixel-Based Edge BundlingPresenter/Author
Mateusz Wnuk, Jan Dziuba,
Andrzej Janusz, DominikŚlęzakDymitr Ruta
Jannic Cutura, Stefan Pasch
Danny Y. C. Wang, Lars
Arne Jordanger, Jerry ChunWei Lin
Hong Lin, Wensheng Gan,
Gengsen Huang, Philip S.
Yu
Jieting Wu, Jianxin Sun,
Xinyan Xie, Tian Gao, Yu
Pan, Hongfeng Yu

Day 1: Friday, December 15, 2023 (Session Chair: Dominik Ślęzak)Time
12:00-12:20
12:20-12:40
12:40-13:00
13:00-13:20
13:20-13:40
13:40-14:00

Title[SP09209] LM-DiskANN: Low Memory Footprint in DiskNative Dynamic Graph-Based ANN Indexing[SP09207] Context-based Fact-checking Using Knowledge
Graph[SP09212] Targeted Querying of Closed High-Utility
Itemsets[SP09210] When Contrastive Learning Meets Graph
Unlearning: Graph Contrastive Unlearning for Link
Prediction[SP09205] TreeBERT: Advanced Representation Learningfor Relation Extraction[SP09214] Analysis of Medical Incident Reports using Text
MiningPresenter/Author
Yu Pan, Jianxin Sun,
Hongfeng Yu
Hyun Jung Lee, Mye Sohn
Shan Huang, WenshengGan, Jinbao Miao
Tzu-Hsuan Yang, Cheng-Te
Li
Shashank Hebbar, Ying Xie,
Jiang Zhong
Shusaku Tsumoto,Tomohiro Kimura, Shoji
Hirano6th Special Session on HealthCare Data
Workshop Chairs: Sultan Turhan, Ozgun Pinarer

Day 1: Saturday, December 16, 2023
Time

Title

09:00 – 09:15

Welcome
BigD290 A Classification Approach to Detect Social Support in
Online Health Communities
BigD287 - Multimodality Data Fusion for COVID-19
DiagnosiSP03206 Is one label all you need? Single positive multilabel training in medical image analysis
SP03222 Toward training NLP models to take into accountprivacy leakages
BigD634 More than Just a Diagnosis: A Multi-Task Approach to
Analyzing Bipolar Disorder on Reddit via DeMHeM

09:15 - 09:35
09:35 – 09:55
09:55 – 10:15
10:15 – 10:35

Presenter/Author

54

Thanaa Ghanem
Helen Schneider
Antoine Boutet
Shailik Sarkar

10:35 – 10:55

SP03210 Real-Time Heart Rate Monitoring via Wi-Fi Signal

10:55 – 11:25

Coffee Break
SP03216 Comparison of Machine Learning Classifiers on
Integrated Transcriptomic Data
SP03227 Precise Temperature Control for Sensitive Medicines
SP03214 Incorporating Emotions into Health Mention
Classification Task on Social Media
SP03221 Predicting Mental Health Disorders Post Long COVID
Diagnosis Using Advanced Machine Learning Techniques
SP03226 Classification of Decompression Sickness Signs andSymptoms Using Cluster Analysis
Lunch Break
SP03201 Learning Cataract Severity Using the Contrast
Sensetivity Scale: A Thick Data Approach
SP03202 Integrating a PICO Clinical Questioning to the
QL4POMR Framework for Building Evidence-Based Clinical Case
Reports
SP03204 Knowledge Graphs, Clinical Trials, Dataspace, and AI:
Uniting for Progressive Healthcare Innovation
SP03218 Extending Healthy Life Expectancy: Frailty Detection
Model Using Smart Meter and Machine Learning
SP03224 Leveraging Graph Databases for Enhanced Healthcare
Data Management: A Performance Comparison Study
Coffee Break
SP03215 Visual Analytics and Exploration of Calcium Transient
Imaging Data using Event-Based Clustering
BigD481 Combat COVID-19 at national level using risk
stratification with appropriate intervention
SP03223 On the usage of Benford’s Law on coronavirus data
statistics
SP03207 What is Hiding in Medicine’s Dark Matter? Learningwith Missing Data in Medical Practices
SP03225 An Empirical Study of Covid-19 Impact on Health Care
Worker’s Career Development
Closing Remarks

11:25 – 11:45
11:45 – 12:05
12:05 – 12:25
12:25 – 12:45
12:45 – 13:05
13:05 – 14:00
14:00 – 14:20
14:20 – 14:40
14:40 – 15:00
15:00 – 15:20
15:20 – 15:40
15:40 – 16:10
16:10 – 16:30
16:30 – 16:50
16:50 – 17:10
17:10 – 17:30
17:30 – 17:50
17:50 – 18:00

Ozgun Pinarer
Irene Testa
Teoman Naskali
Olanrewaju Aduragba
Manoj Purohit
Murat Egi

Jinan Fiaidhi
Sabah Mohammed
Mohan Timilsina
Kijun Kim
Sultan Turhan

Shiaofen Fang
Xuan Jin
Gunce Keziban Orman
Neslihan Suzen
Kutay Acar

Day 2: Sunday, December 17, 2023
Time

Title

09:00 – 09:15

10:35 – 10:55

Welcome
SP03219 Autocompletion of Chief Complaints in the Electronic Health Records
using Large Language Models
SP03209 Deep Learning based Driving Posture Stability Analysis for People
with Mobility Challenges
SP03220 Explainable NLP Model for Predicting Patient Admissions at
Emergency Department Using Triage Notes
SP03217 Multi-Task Learning Using Facial Features for Mental Health
Screening
SP03213 Impact and Analysis of Long COVID on Cardiovascular Diseases

10:55-11:10

Closing Remarks

09:15 - 09:35
09:35 – 09:55
09:55 – 10:15
10:15 – 10:35

Presenter/Author
K M Sajjadul Islam
Tingting Chen
Mahmoud Elbattah
Avantika Shrestha
Daniel Chia

Special Session 7: Understanding New Markets by Data Science, Social Science, and Economics
Teruaki Hayashi, Hiroki Sakaji, Naoki Watanabe

Time

Title

55

Presenter/Author

8:30 - 8:35
8:35 - 8:55
8:55 - 9:15
9:15 - 9:35
9:35 - 9:55
9:55 - 10:15
10:15 - 10:30
10:30 - 11:30
11:30 - 11:50
11:50 - 12:10
12:10 - 12:30
12:30 - 12:35

Opening Remarks
Topic-Based Search: Dataset Search without Metadata and Users'
Knowledge about Data
Variable-based Learning Considering Topic Specificity in
Heterogeneous Data Clustering Tasks
Multi-view Graph Convolution for Participant Recommendation
Exploring the Fundamental Units of Semantic Representation of Data
Using Heterogeneous Variable Network in Data Ecosystems
Resale-proof Trades of Data under Budget Constraints: A Subject
Experiment
Coffee Break[Invited Talk] Data Spaces, the new paradigm of the new data
economyIndexing and Visualization of Climate Change Narratives Using
BERT and Causal Extraction
From Base to Conversational: Japanese Instruction Dataset and Tuning
Large Language Models
Harnessing Behavioral Traits to Enhance Financial Stock
Recommender Systems: Tackling the User Cold Start Problem
Closing Remarks

Yukihisa Fujita, Teruaki Hayashi, andMasahiro Kuwahara
Kosuke Manabe, Yukihisa Fujita, Masahiro
Kuwahara, and Teruaki Hayashi
Xiaolong Liu, Liangwei Yang, Chen Wang,
Mingdai Yang, Zhiwei Liu, and Philip S. Yu
Teruaki Hayashi, Yukihisa Fujita, andMasahiro Kuwahara
Kazuhito Ogawa and Naoki Watanabe
Dolores Ordoñez
Hiroki Sakaji and Noriyasu Kaneda
Masahiro Suzuki, Masanori Hirano, andHiroki Sakaji
Takehiro Takayanagi and Kiyoshi Izumi

Special Session on Platform for DFFT (Data Free Flow with Trust)WorkshopChairs: Noboru Koshizuka

Time

Title

Presenter/Author

15:00~15:05

Opening Remarks

15:05~15:25

SP01201: "ITDT: International Testbed for Dataspace Technology"

15:25~15:45
15:45~16:00

SP01203: "Toward Open and Sustainable Data Platform for
Accessible Pedestrian Network"Break

16:00~16:20

SP01204: "Hierarchical Rule Compliance Check Method forFederated Query"

16:20~16:40

SP01205: "Applying Homomoprhic Encryption to Data Spaces"

16:40~16:50

Closing Remarks

Itsuki Matsunaga, Takashi Michikata, andNoboru Koshizuka
Masahiro Bessho, Tomonori Usaka, and Ken
Sakamura
IVYA SINGH, Mika Takata, Toshihiko
Kashiyama, Satoshi Katsunuma, andNorifumi Nishikawa
Takashi Michikata, Yusuke Sasaki, andNoboru Koshizuka

Special Session on Social Cognitive Computing in Digital Education and Learning
WorkshopChairs: Jerry Chun-Wei Lin

Time

Title

Presenter/Author
Kayleigh Tanner, Sarah Plosker, andGautam Srivastava
Diletta Chiaro, Daniela Annunziata,Stefano Izzo, and Francesco Piccialli

11:00-11:15

A Reflection on Cybersecurity Indigenous Educational
Experiences
Unveiling engagement in virtual classrooms: a multimodal
analysis
Coffee Break
Robust category recognition based on deep templates foreducational mobile applications
HierAct: a Hierarchical Model for Human Activity Recognition in
Game-Like Educational Applications
Early ChatGPT User Portrait through the Lens of Data

11:15-11:30

Large Language Models in Education

11:30-11:45

Game Based Virtual Reality Platform for Geometry

09:45-10:00
10:00-10:15
10:15-10:30
10:30-10:45
10:45-11:00

56

Marzena Halama, Katarzyna Filus, andJoanna Domanska
Nur Kelesoglu, Katarzyna Filus, andJoanna Domanska
Yuyang Deng, Ni Zhao, and Xin Huang
Wensheng Gan, Zhenlian Qi, Jiayang Wu,
and Jerry Chun-Wei Lin
Himangshu Sarma, Mahaboob Shaik,
Surya Teja Tangirala, and Satyam KumarSingh11:45-12:00

A Hybrid Corpus based Fine-grained Semantic Alignment
Method for Pre-trained Language Model of Ancient Chinese
PoetryClosing Remarks

Jie Hong, Tingting He, Jie Mei, Ming
Dong, Zheming Zhang, and Xinhui Tu

Special Session on Data-Driven Designation and Implementation of Automated Guided Vehicles
WorkshopChairs: Jerry Chun-Wei Lin (part 1), Rafal Cupek (part 2)

Time
14:00-14:15
14:15-14:30
14:30-14:45
14:45-15:00
15:00-15:15
15:15-15:30
15:30-15:45
15:45-16:00
16:00-16:30
16:30-16:45
16:45-17:00
17:00-17:15

Title
General Concepts in Swarm of Drones Control: Analysis and
Implementation
Unsupervised Learning for Depth Estimation in Unstructured
Environments
NetSat: Network Saturation Adversarial Attack
Visual examination of relations between known classes for deepneural network classifiers
The Calibration of Single Beam Distance Sensors based on
Machine Learning Methods
Predicting AGV Battery Cell Voltage Using a Neural Network
Approach with Preliminary Data Analysis and Processing
Analysis of time management models in AGV wirelesscommunication
Testing Quality of Service of communication system for AGV fleet
with Software-Defined Network
Coffee Break
Convergent wireless real-time communicaiton using EtherCATand OPC UA for AGV application with big data sets acquisition
A Fuzzy Optimized Route Selection Framework for Autonomous
Vehicles using V-NDN
Reliability Analysis of M2M Cyclic Data Transfer based on ad-hoc
Wireless P2P Link

17:15-17:30

Estimating the AGV load and a battery lifetime based on thecurrent measurement and random forest application

17:30-17:45

Effective Prediction of Energy Consumption in AutomatedGuided Vehicles with Recurrent and Convolutional Neural
Networks

17:45-18:00
18:00-18:10

Lightweight CNN based on Spatial Features for a VehicularDamage Detection System
Closing Remarks

Presenter/Author
Dariusz Marek, Marcin Paszkuta, Jakub
Szyguła,
Piotr
Biernacki,AdamDomański, Marta Szczygieł, Marcel Król,
and Konrad Wojciechowski
Pian Qi, Fabio Giampaolo, Edoardo
Prezioso, and Francesco Piccialli
Katarzyna Filus and Joanna Domanska
Lukasz Sobczak, Katarzyna Filus,
Marzena Halama, and Joanna Domanska
Piotr Biernacki, Adam Ziebinski, Jia-Hao
Syu, and Jerry Chun-Wei Lin
Olena Pavliuk, Mykola Medykovskyy, andTomasz Stęclik
Kirill Rukkas and Piotr Gaj
Karol Marszałek, Adam Domański, RafałCupek, and Marek Drewniak
Jacek Stój and Piotr Gaj
Anu Kaushik, Rasmeet S Bali, andGautam Srivastava
Piotr Gaj, Ireneusz Smołka, and Jacek
Stój
Krzysztof Hanzel, Damian Grzechca,
Adam Ziebinski, Lukas Chruszczyk, andArtur Janus
Paweł Benecki, Daniel Kostrzewa, Piotr
Grzesik, Bohdan Shubyn, Jia-Hao Syu,
Jerry Chun-Wei Lin, Vaidy Sunderam,and Dariusz Mrozek
Dawid Polap, Antoni Jaszcz, Katarzyna
Prokop, and Gautam Srivastava

2023 Special Session on Machine Learning on Big Data

Time
09:00-10:00
09:00-09:20

PC Chair: Alfredo Cuzzocrea
Conference time zone: GMT+1
16-17 December 2023
Day 1: Saturday, December 16, 2023
Title
Session MLBD1 – Chair: TBA
SP05202 Improved Tactical Decision Making and Control
Architecture for Autonomous Truck in SUMO Using
Reinforcement Learning

57

Presenter/Author
Deepthi Pathare, Leo Laine,and Morteza Haghir
Chehreghani

09:20-09:40

SP05203 Hierarchical Uncertainty Aggregation and Emphasis Loss
for Active Learning in Object Detection

09:40-10:00

SP05204 Diverse Data Expansion with Semi-Supervised kDeterminantal Point Processes

10:00 – 10:30
10:30-12:30
10:30-10:50
10:50-11:10
11:10-11:30
11:30-11:50

Coffee BreakSession MLBD2 – Chair: TBA
SP05205 Uncertainty-Aware Optimisation for Sustainable
Multimedia Event Processing in Big Data Streams
SP05207 Spider4SPARQL: A Complex Benchmark for Evaluating
Knowledge Graph Question Answering Systems
SP05208 Using Human Mobility Patterns to Forecast Outliers in a
Secondary Stream of Data
SP05209 DeepScreen: Boosting Depression Screening
Performance with an Auxiliary Task

11:50-12:10

SP05210 Fine-tuned generative LLM oversampling can improve
performance over traditional techniques on multiclass imbalanced
text classification

12:10-12:30

SP05211 NASerEx: Optimizing Early Exits via AutoML for
Scalable Efficient Inference in Big Image Streams

12:30 – 14:00
14:00-16:00

15:00-15:20
15:20-15:40
15:40-16:00
16:00 – 16:30
Time
09:00-10:00
09:00-09:20

09:20-09:40

Aakash Kapoor, Rajath Elias
Soans, Soham Dixit, Pradeep
NS, Brijraj Singh, and Mayukh
Das

Session MLBD3 – Chair: TBA

SP05212 Stabilizing Adversarial Training for Generative Networks

14:40-15:00

Felipe Arruda Pontes, Michael
Schukat, and Edward Curry
Catherine Kosten, PhillipeCudrã-Mauroux, and Kurt
Stockinger
Vincent Bolta and Marwan
Hassani
Ricardo Flores, Avantika
Shrestha, and Elke
Rundensteiner
Nicolas Cloutier and Nathalie
Japkowicz

Lunch Break

14:00-14:20

14:20-14:40

Tai Nguyen, Khoa Nguyen,
Thanh Nguyen, Tri Nguyen,
Anh Nguyen, and Karrman
Kim
Simon Johansson, Ola
Engkvist, Morteza
Chehreghani, and Alexander
Schliep

SP05213 Towards Big Data Analytics over Mobile User Data
using Machine Learning
SP05214 Student success analysis for minority students in higher
education
SP05216 Effective and Efficient Big OLAP Data Cube
Compression in Mobile Cloud Environments: The IQTS Algorithm
SP05217 Artificial Intelligence for Spectral Analysis: Challenges
and Opportunities
SP05218 Distributed Concept Drift Detection for Efficient Model
Adaptation with Big Data Streams
Coffee BreakDay 2: Sunday, December 17, 2023
Title
Session MLBD4 – Chair: TBA
SP05219 Task Unloading Algorithm for Mobile Edge Computing
based on graph neural network
SP05220 UCE-FID: Using Large Unlabeled, Medium
Crowdsourced-Labeled, and Small Expert-Labeled Tweets for
Foodborne Illness Detection

58

Walter Gerych, Kevin Hickey,
Thomas Hartvigsen, Luke
Buquicchio, Abdulaziz Alajaji,
Kavin Chandrasekaran, Hamid
Mansoor, Emmanuel Agu, andElke Rundensteiner
Ichou Sabrina, Hammoudi
Slimane, Benna Amel, Alfredo
Cuzzocrea, and Meziane
Abdelkrim
Shamiha Binta Manir and Priya
Deshpande
Alfredo Cuzzocrea andMojtaba Hajian
Anqi Chu, Xiang Xie, andWilhelm Stork
Ian Whitehouse, Rodrigo
Yepez-Lopez, and Roberto
Corizzo

Presenter/Author
Yuze zhang, Geming Xia,
Hongcheng Li, Hongfeng Li,
and Hui Song
Ruofan Hu, Dongyu Zhang,
Dandan Tao, Huayi Zhang,
Hao Feng, and Elke
Rundensteiner

09:40-10:00
10:00 – 10:30
10:30-12:30

SP05221 Balancing the Scales: HyperSMOTE for Enhanced
Hypergraph Classification
Coffee Break

10:30-10:50

Session MLBD5 – Chair: TBA
SP05222 UniMHe: Unified Multi Hyperedge Prediction A Case
Study on Crime Dataset

10:50-11:10

SP05225 ENCODE: Ensemble Contextual Bandits in Big Data
Settings - A Case Study in E-Commerce Dynamic Pricing

11:10-11:30
11:30-11:50

11:50-12:10
12:10-12:30
12:30 – 14:00
14:00-16:00
14:00-14:20

SP05226 Correlation and Unintended Biases on Univariate andMultivariate Decision Trees
SP05227 Speech-based detection of in-car escalating arguments toprevent distracted driving
SP05229 F-TBDA: A Frequency-Based Temporal Big Data
Analytics Approach for Mining and Analyzing Quality-Of-Life
Indicators of Cancer Patients
SP05232 Scaling Personalized Machine Learning through DTW
Clustering: Predicting Glycemia Levels as an Example
Lunch BreakSession MLBD6 – Chair: TBA
SP05234 Machine-Learning-Based Multidimensional Big Data
Analytics over Clouds via Multi-Columnar Big OLAP Data Cube
Compression

Lulwah AlKulaib and ChangTien Lu

Melike Yildiz Aktas, Lulwah
AlKulaib, and Chang-Tien Lu
Srividhya Sethuraman, Uma
Maheswari G, Siddhesh
Thombre, Sunny Kumar,
Vikash Patel, and Sharadha
RamananMattia Setzu and Salvatore
RuggieriFrancesco Pistolesi, Michele
Baldassini, and Beatrice
Lazzerini
Alfredo Cuzzocrea, Geertruida
H. de Bock, Willemijn J. Maas,
and Selim Soufargi
Abdelmounaam Rezgui

Alfredo Cuzzocrea, Abderraouf
Hafsaoui, and Carson Leung

15:20-15:40

BigD528 Online Hierarchical Multi-Label Classification
BigD605 Modular Deep Learning for Big Data: Motivation,
Challenges, and Approaches

Jianjun Luo, Ryan Rossi,
Xiangnan Kong, and Yanhua
Li
Matt Gorbett, Hossein Shirazi,
and Indrakshi Ray
Wenting Qi and Charalampos
ChelmisSamiyuru Menik and
Lakshmish Ramaswamy

15:40-16:00

BigD680 Neurosymbolic Knowledge Distillation

Himel Das Gupta and Victor
Shengli Sheng

16:00 – 16:30

Coffee Break

14:20-14:40

BigD259 Multi-Item Continuous Influence Maximization

14:40-15:00

BigD415 Cross-Silo Federated Learning Across Divergent
Domains with Iterative Parameter Alignment

15:00-15:20

16:30-17:30
16:30-16:50

16:50-17:10

17:10-17:30

Session MLBD7 – Chair: TBA
BigD713 Choosing the Right Time to Learn Evolving Data
Streams
N241 DataCockpit: A Toolkit for Data Lake Navigation andMonitoring Utilizing Quality and Usage Information

N247 IDMU: Impact Driven Machine Unlearning

59

Alessio Bernardo, Emanuele
Della Valle, and Albert Bifet
Arpit Narechania, Surya
Chakraborty, Shivam Agarwal,
Atanu Sinha, Ryan Rossi, Fan
Du, Jane Hoffswell, Shunan
Guo, Eunyee Koh, Alex
Endert, and Shamkant Navathe
Shubhi Asthana, Bing Zhang,
Ruchi Mahindru, Indervir
Singh Banipal, and Pawan
Chowdhary2023 Special Session on Privacy and Security Big Data
PC Chair: Alfredo Cuzzocrea
Conference time zone: GMT+1
17-18 December 2023
Day 1: Sunday, December 17, 2023
Time

Title

Presenter/Author

09:00-10:00
09:00-09:20

Session PSBD1 – Chair: TBA
SP06202 Towards an evolution in the characterization of the riskof re-identification of medical images

Antoine Boutet, Carole Frindel,and Mohamed Maouche

09:20-09:40

SP06203 Enhancing Object Detection in YouTube Thumbnails
Forensics with YOLOv4

Shahrzad Sayyafzadeh andHongmei Chi

SP06204 Adversarial and Generative Data-Augmented Resilient
Intrusion Detection Systems for Unmanned Aerial Vehicles

Muneeba Asif, Mohammad
Ashiqur Rahman, Kemal
Akkaya, Hossain Shahriar, andAlfredo Cuzzocrea

09:40-10:00
10:00 – 10:30
10:30-12:30
10:30-10:50
10:50-11:10
11:10-11:30
11:30-11:50
11:50-12:10

12:10-12:30

Coffee BreakSession PSBD2 – Chair: TBA
SP06205 Privacy-Preserving Data Integration
SP06207 Blockchain-Based Decentralized Verifiable Credentials:
Leveraging Smart Contracts for Privacy-Preserving Authentication
Mechanisms to Enhance Data Security in Scientific Data Access
SP06208 Private Continuous Survival Analysis with Distributed
Multi-Site Data
SP06209 Targeted Ads Analysis: What are The most Targeted
Personas?
SP06210 BigData Fusion for Trajectory Prediction of Multi-Sensor
Surveillance Information Systems
SP06212 ANTI-Disinformation: An Adversarial Attack andDefense Network Towards Improved Robustness for
Disinformation Detection on Social Media

12:30 – 14:00
14:00-16:00
14:00-14:20

Session PSBD3 – Chair: TBA
SP06213 Differentially Private Federated Learning: Privacy andUtility Analysis of Output Perturbation and DP-SGD.

15:20-15:40
15:40-16:00

BigD214 Securing web apps: An Analysis to understand common
vulnerabilities, attack scenarios, and protective measures

14:40-15:00
15:00-15:20

Luca Bonomi, Marilyn Lionts,
and Liyue Fan
Hiroaki Kikuchi and Ayaka
AoyamaGiuseppe Cascavilla, Alfredo
Cuzzocrea, Daniel De Pascale,
Mandana Omidbakhsh, andDamian Tamburri
Kuan-Chun Chen, Justin ChihYao Chen, and Cheng-Te Li

Lunch Break

SP06214 Differentially Private Frequency Tables Based on
Random Sampling
SP06215 Guidelines for Federated Aggregation Strategies andArchitectures for Next Word Prediction
SP06216 Increasing multi-variate privacy for synthetic micro-data
with Bayesian Networks
BigD202 BigBird: Exabyte-scale Big Data Storage and Analytics
Framework in Hybrid Cloud

14:20-14:40

Lisa Trigiante, Domenico
Beneventano, and Sonia
Bergamaschi
Md Jobair Hossain Faruk, Jim
Baseny, and Jerry Cheng

60

Anastasia Pustozerova and
Rudolf Mayer
Kazuhiro Minami and Takumi
Sugiyama
Yana Sakhnovych and Rudolf
Mayer
Nina Niederhametner and
Rudolf Mayer
Saurabh Deochake, Gary
Steelman, and Vrushali
Channapattan
Arunakranthi Godishala, B
Rajkumar, Ravinder Reddy
Malga, Pradeep Kagitapu

16:00 – 16:30

Coffee BreakDay 2: Monday, December 18, 2023
Title

Time
09:00-10:00
09:00-09:20

09:20-09:40
09:40-10:00
10:00 – 10:30
10:30-12:30

Session PSBD4 – Chair: TBA
BigD219 Quantum Cryptography for Enhanced Network Security:
A Comprehensive Survey of Research, Developments, and Future
Directions

Presenter/Author
Mst Akter, Juanjose RodriguezCardenas, Hossain Shahriar,and Alfredo Cuzzocrea

BigD233 A Trustable LSTM-Autoencoder Network for
Cyberbullying Detection on Social Media Using Synthetic Data

Mst Shapna Akter, Hossain
Shahriar, and Alfredo
Cuzzocrea
Jan Fillies, Michael Hoffmann,and Adrian Paschke

BigD237 Multilingual Hate Speech Detection: Comparison ofTransfer Learning Methods to Classify German, Italian, andSpanish Posts
Coffee Break

10:30-10:50

Session PSBD5 – Chair: TBA
BigD254 Safe data transmission in IoT system for air pollution
monitoring

10:50-11:10

BigD265 Random Validation Blockchain Construction and Privacy
Protection Method for Federated Learning

Janusz Bobulski, Sabina
Szymoniak, and Kamila
Pasternak
Tingwei Chen, Jiacheng Zhang,and Junlu Wang

BigD278 Ethical Hacking in Digital Forensics
11:10-11:30
BigD305 Matching Noisy Keys for Obfuscation

11:30-11:50
11:50-12:10
12:10-12:30
12:30 – 14:00

BigD343 Analyzing Code Text Strings for Code Evaluation
BigD348 Achieving Privacy and Tracing Unauthorised Data
Usage: Anonymisation-based Fingerprinting for Private Data
Lunch Break

14:00-16:00

Session PSBD6 – Chair: TBA

14:00-14:20

BigD452 Sorting the Digital Stream: Big Data-driven Insights into
Email Classification for Spam and Ham Detection

14:20-14:40
14:20-14:40
14:40-15:00

BigD551 Privacy-Preserving Data Sharing in Agriculture:
Enforcing Policy Rules for Secure and Confidential Data Synthesis
BigD641 Randomized Response Has No Disparate Impact on
Model Accuracy
BigD763 FedCIO: Efficient Exact Federated Unlearning with
Clustering, Isolation, and One-shot Aggregation

Damilola Oladimeji, Laura
Garland, Jayanthi
Ramamoorthy, and Bing Zhou
Charlie Dickens and Eric Bax
Tianyu Wang and Zhixiong
Chen
Tanja Šarčević, Rudolf Mayer,
and Philipp Adler

Syed Attique Shah, Emil
Anthony Arputham, Awais
Ahmed, and Mohamed Ben
Farah
Anantaa Kotal, Lavanya Elluri,
Deepti Gupta, Varun
Mandalapu, and Anupam Joshi
Alycia Carey, Karuna Bhaila,
and Xintao Wu
Hongyu Qiu, Yongwei Wang,
Yonghui Xu, Lizhen Cui, andZhiqi Shen

15:00-15:20
16:00 – 16:30

Coffee Break9th Special Session on Intelligent Data Mining
Time

Title

Schedule-16 December 2022 Saturday
Presenter/Author

07:00 am-08:00 am

Registration

61

Session Keynote Speech
Uraz Yavanoglu, PhD

07:50 am-08:00 am

Zahra Moteshaker Arani, Mostafa Haghir Chehreghani, and Morteza Haghir Chehreghani
08:00 am-08:15 am

SP08203
Non-Uniform Sampling Methods for Large Itemset Mining
Abdüsselam Koç, Özlem Albayrak, Yaşar Kurt, and Perin Ünal08:15 am-08:30 am

SP08204
A Study to Compare YOLO Family Models for Metal Surface Anomaly Detection
Ragini Kihlman and Maria Fasli

08:30 am-08:45 am

SP08212Multi-label Co-training using a Graph neural network.
Mohammad Mahdi Khosravi, Pinar Karagoz, and Ismail Hakki Toroslu

08:45 am-09:00 am

SP08218
IndexAI: AI Based Index Selection for NoSQL Databases
Kasim Oztoprak and Reza Hassanpour

09:00 am-09:15 am

SP08219
Efficient Dynamic Federated Learning for Imbalanced Data

Peter Samoaa, Linus Aronsson, Philipp Leitner, and Morteza Haghir Chehreghani
09:15 am-09:30 am

SP08205
Batch Mode Deep Active Learning for Regression on Graph Data

Zhaoming Chen, Xinyang Chen, Guoting Chen, and Wensheng Gan
09:30 am-09:45 am

SP08206
Frequent subgraph mining in dynamic databases

Zhongtian Sun, Anoushka Harit, Alexandra Cristea, Jingyun Wang, and Pietro Lio
09:45 am-10:00 am

SP08207
A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning

10:00 am-10:15 am

Break
Mogens Graf Plessen

10:15 am-10:30 am

SP08208
A posteriori Trading-inspired Model-free Time Series Segmentation62

10:30 am-10:45 am

SP08209

Dmitry Serykh, Stefan Oehmcke, Cosmin Oancea, Dainius Masiliunas, Jan Verbesselt, Yan Cheng,
Stéphanie Horion, Fabian Gieseke, and Nikolaj Hinnerskov
Seasonal-Trend Time Series Decomposition on Graphics Processing Units
Michael Reidy, Henry Mallon, and Jiebo Luo

10:45 am-11:00 am

SP08210

11:00 am-11:15 am

SP08211

Investigating the Effectiveness of Deep Learning and CFA Interpolation Based Classifiers on
Identifying AIGC

Olanrewaju Aduragba, Jialin Yu, and Alexandra Cristea
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic

Roberto Corizzo and Sebastian Leal-Arenas
11:15 am-11:30 am

SP08214
One-GPT: A One-Class Deep Fusion Model for Machine-Generated Text Detection
Enting Zhou, Yurong Liu, Hanjia Lyu, and Jiebo Luo

11:30 am-11:45 am

SP08215
A Fine-Grained Analysis of Public Opinion toward Chinese Technology Companies on Reddit
Jinsheng Pan, Zichen Wang, Weihong Qi, Hanjia Lyu, and Jiebo Luo

11:45 am-12:00 pm

SP08216

12:00 pm-1:00 pm

Lunch
Break

01:00 pm-01:15 pm

SP08217

Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News
Outlets

Jenq-Haur Wang and Yi-Fang Chen
Combining Transformers and Tree-based Decoders for Solving Math Word Problems

Kiana Kheiri, Muhammad Fawad Akbar Khan, Tyler Derr, and Hamid Karimi
01:15 pm-01:30 pm

BigD236
An In-depth Analysis of the Broken Ties on Twitter

01:30 pm-01:45 pm

BigD272

Brodrick Stigall, Ryan Rossi, Jane Hoffswell, Xiang Chen, Shunan Guo, Fan Du, Eunyee Koh,and Kelly Caine
On Chatbots for Visual Exploratory Data
Ngai Lam Ho, Roy Ka-Wei Lee, and Kwan Hui Lim

01:45 pm-02:00 pm

BigD283

SBTREC - A Transformer Framework for Personalized Tour Recommendation Problem with
Sentiment Analysis
Muhammad Fawad Akbar Khan, John Edwards, Paul Bodily, and Hamid Karimi

02:00 pm-02:15 pm

BigD292

Deciphering Student Coding Behavior: Interpretable Keystroke Features and Ensemble Strategies
for Grade Prediction

63

Guohui Ding, Yankai Wang, Yuqi Liu, Chao Jiang, and Lulu Sun
02:15 pm-02:30 pm

BigD503

02:30 pm-02:45 pm

BigD521

DG-GLNet: A Graph Convolutional Network for prediction of time sequence with topologicalstructure
Jeremy Mechouche, Mohamed Sellami, Zakaria Maamar, Roua Touihri, and Walid Gaaloul
Process mining approach for Multi-Cloud SLA Reporting
Ke Li, Bin Guo, Siyuan Ren, Yasan Ding, and Zhiwen Yu

02:45 pm-03:00 pm

BigD522
Multi-Source Selective Transfer Learning for Fake News Detection in New Event

03:00 pm-03:15 pm

Break
Alvina Hui Shan Lee, Venky Shankararaman, and Eng Lieh Ouh

03:15 pm-03:30 pm

BigD563

03:30 pm-03:45 pm

BigD620

Vision Paper: Advancing of AI Explainability for the Use of ChatGPT in Government Agencies –Proposal of A 4-Step Framework
Nachiket Deo, Sanguthevar Rajasekaran, and Rany Kamel
Identifying suitable attributes for Record Linkage using Association Analysis
Janet Layne and Edoardo Serra

03:45 pm-04:00 pm

BigD689
A Novel Method to Enable Transfer Learning of Structural Graph Representations
Abm Adnan Azmee, Martin Brown, Md Abdullah Al Hafiz Khan, Dominic Thomas, Yong Pei,and Monica Nandan

04:00 pm-04:15 pm

BigD721
Domain-Enhanced Attention Enabled Deep Network for Behavioral Health Identification from 911
Narratives
Huang Hanjuan, Peng Hsuan-Ting, and Hsing-Kuo Pao

04:15 pm-04:30 pm

BigD743
Fake News Detection via Sentiment Neutralization

Tze-Qian Eng, Hsing-Kuo Pao, and Chi-Chen Liao
04:30 pm-04:45 pm

BigD749
Self-supervised Federated Learning for Anomaly Detection

Hande Çavşi Zaim, Esra Nergis Yolaçan, and Uraz Yavanoğlu
04:45 pm-05:00 pm

SP08220
Intelligent Attack Detection in ROS-based Systems

05:00 pm

END of SESSION

64

Big Data Cup Challenges

Posters

PosterID

Accept Posters

P202

Daniel F.O. Onah and Asia Ibrahim, Evaluating Speech Emotion Recognition through the lens of CNN &LSTM Deep Learning Models
Author Email(s): d.onah@ucl.ac.uk, asia.ibrahim.17@ucl.ac.uk
Contact Person: Daniel F.O. Onah <d.onah@ucl.ac.uk>

P203

Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, and Antonella Santone, A Proposal for
Trustworthy Artificial Intelligence
Author Email(s): francesco.mercaldo@iit.cnr.it, giovanni.ciaramella@iit.cnr.it, fabio.martinelli@iit.cnr.it,
antonella.santone@unimol.it
Contact Person: Francesco Mercaldo <francesco.mercaldo@iit.cnr.it>

P204

Sanjusha Cheemakurthi and Min Chen, Master-ASL: Sign Language Learning and Assessment System
Author Email(s): minchen2@uw.edu
Contact Person: Min Chen <minchen2@uw.edu>

P205

Tai-Yeon Ku, Wan-Ki Park, and Hoon Choi, Energy BigData platform for residential heat information
Author Email(s): kutai@etri.re.kr, wkpark@etri.re.kr, kutai@etri.re.kr
Contact Person: Tai-Yeon Ku <kutai@etri.re.kr>

P206

Wan-Ki Park and Tai-Yeon Ku, AI Composite Sensor using BigData for Energy Management System
Author Email(s): wkpark@etri.re.kr, kutai@etri.re.kr
Contact Person: Wan-Ki Park <wkpark@etri.re.kr>

P207

Manoj M, Big Data and Data Visualization challenges
Author Email(s): mm42526w@pace.edu
Contact Person: Manoj M <mm42526w@pace.edu>

P208

Manoj M, Comparison of SQL, NoSQL, and NewSQL Database Technologies
Author Email(s): mm42526w@pace.edu
Contact Person: Manoj M <mm42526w@pace.edu>

P209

Manoj M, IoT-based Big Data Storage Systems Challenges
Author Email(s): mm42526w@pace.edu
Contact Person: Manoj M <mm42526w@pace.edu>

P210

Jinhyeok Lee and Hyunjung Kim, Utilizing text mining and GIS analysis on the vulnerable disaster type ofthe elderly living alone
Author Email(s): 21900574@handong.ac.kr, ual@handong.edu
Contact Person: Jinhyeok Lee <21900574@handong.ac.kr>

P211

Vasuda trehan, How wildfire wreaked havoc in California: Impact of evacuation on residents
Author Email(s): Vtrehan@albany.edu
Contact Person: Vasuda trehan <Vtrehan@albany.edu>

P212

Ibrahim Almubark, Brain Stroke Prediction Using Machine Learning Techniques
Author Email(s): imbark@qu.edu.sa
Contact Person: Ibrahim Almubark <imbark@qu.edu.sa>

65

P213

Sungsoo Kim and Moonyoung Chung, Fast Graph Learning for Traffic Prediction
Author Email(s): sungsoo@etri.re.kr, mchung@etri.re.kr
Contact Person: Sungsoo Kim <sungsoo@etri.re.kr>

P214

Sunhee Kim, Sang-Ho Chu, Yong-Jin Park, and ChangYong Lee, A computational method of identifying
false positives in the variant calling
Author Email(s): clee@kongju.ac.kr, king@kongju.ac.kr, shchu@kongju.ac.kr, yjpark301@gmail.com
Contact Person: ChangYong Lee <clee@kongju.ac.kr>

P215

Masanori Yamanaka, Data mining of electronic structure of proteins and quantum evolution
Author Email(s): yamanaka.masanori@nihon-u.ac.jp
Contact Person: Masanori Yamanaka <yamanaka.masanori@nihon-u.ac.jp>

P216

vasuda trehan, AI-Powered Archives: Revolutionizing Information Access for the Future
Author Email(s): vtrehan@albany.edu
Contact Person: vasuda trehan <vtrehan@albany.edu>

P217

Byron J. Gao, Introducing the Partial Clustering Problem
Author Email(s): bgao@txstate.edu
Contact Person: Byron J. Gao <bgao@txstate.edu>

P218

Kihyuk Nam, Taewhi Lee, Sung-Soo Kim, and Insik Shin, Learning for Spatio-temporal and Relational Data
Author Email(s): nam@etri.re.kr, taewhi@etri.re.kr, sungsoo@etri.re.kr, ishin@kaist.ac.kr
Contact Person: Kihyuk Nam <nam@etri.re.kr>

P219

Joel Witzke, Florian Schintke, Ansgar Lößer, and Björn Scheuermann, Proactive Resource Management to
Optimize Distributed Workflow Executions
Author Email(s): witzke@zib.de, schintke@zib.de, ansgar.loesser@kom.tu-darmstadt.de,scheuermann@kom.tu-darmstadt.deContact Person: Joel Witzke <witzke@zib.de>

P220

Jiwon Ock, Taewhi Lee, and Seongmin Kim, Privacy-preserving Approximate Query Processing withDifferentially Private Generative Models
Author Email(s): jwock@etri.re.kr, taewhi@etri.re.kr, sm.kim@sungshin.ac.kr
Contact Person: Jiwon Ock <jwock@etri.re.kr>

P221

Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla Fabiana Chiasserini, and Pietro
Michiardi, Multi-View Latent Diffusion
Author Email(s): giuseppe.digiacomo@polito.it, giulio.franzese@eurecom.fr, tania.cerquitelli@polito.it,
carla.chiasserini@polito.it, pietro.michiardi@eurecom.fr
Contact Person: Giuseppe Di Giacomo <giuseppe.digiacomo@polito.it>

P222

Ryosuke Kobayashi, Nobuo Shigeta, Nobuyuki Saji, and Rie Yamaguchi, Optimization of Public Bus Routein a Smart City Utilizing Real-time Human Location Data Analysis
Author Email(s): kobayashi@yamagula.ic.i.u-tokyo.ac.jp, nobuo.shigeta@evaaviation.com,
saji@yamagula.ic.i.u-tokyo.ac.jp, yamaguchi.rie@i.u-tokyo.ac.jp
Contact Person: Ryosuke Kobayashi <kobayashi@yamagula.ic.i.u-tokyo.ac.jp>

P223

Yi-Lu Jiang, Wen-Chang Chang, and Chih-Yi Chiu, Pineapple Quality Classification in a Multimodal AudioVisual Dataset
Author Email(s): cychiu@mail.ncyu.edu.tw, jiangyl@mail.ncyu.edu.tw, wcchang@mail.ncyu.edu.tw
Contact Person: Chih-Yi Chiu <cychiu@mail.ncyu.edu.tw>

P224

Yuki Yada, Tsuneo Matsumoto, Fuyuko Kido, and Hayato Yamana, Why is the User Interface a Dark
Pattern? : Explainable Auto-Detection and its Analysis
Author Email(s): yada_yuki@yama.info.waseda.ac.jp, fkido@aoni.waseda.jp,
yamana@yama.info.waseda.ac.jp
Contact Person: Yuki Yada <yada_yuki@yama.info.waseda.ac.jp>

P225

Wing-Lam Mok and SungHo Kim, Mitigating Annotation Artifacts in Physical Commonsense Reasoning
BenchmarkAuthor Email(s): wlmokac@korea.ac.kr, sungho3268@korea.ac.kr
Contact Person: Wing-Lam Mok <wlmokac@korea.ac.kr>

P227

Ryo Saito, Keita Ushida, and Tatsuya Arakawa, A Study on Watching Support of Werewolf Game Using
Log Data Analyzed with Machine Learning
Author Email(s): ushida@cc.kogakuin.ac.jp, j019137@kute.tokyo, arakawa@gunma-ct.ac.jp
Contact Person: Keita Ushida <ushida@cc.kogakuin.ac.jp>

66

P228

Evgeny Krivosheev, Katsiaryna Mirylenka, Mattia Atzeni, and Paolo Scotton, Graph Neural Networks for
Entity Matching
Author Email(s): kmi@zurich.ibm.com, evgeny.krivosheev@jumio.com, mattia.atzeni@epfl.ch,
psc@zurich.ibm.com
Contact Person: Katsiaryna Mirylenka <kmi@zurich.ibm.com>

P230

Dongho Yang and Sangwhan Cha, An Alternative Illustration to Generalize Sprague-Grundy Theorem
Author Email(s): dhyang24@pupils.nlcsjeju.kr, scha@harrisburgu.edu
Contact Person: Dongho Yang <dhyang24@pupils.nlcsjeju.kr>

P231

Jyoti Yadav, Aparna Varde, and Lei Xie, Comprehensive cough data analysis on CODA TB
Author Email(s): vardea@montclair.edu, yadavj2@montclair.edu, lxi0003@hunter.cuny.edu
Contact Person: Aparna Varde <vardea@montclair.edu>

P232

Hyewon Song and Moonyoung Chung, Recurrent Traffic Demand Generation using Urban Traffic
Simulation with Cell-based Behavior Model and Real Traffic Data
Author Email(s): hwonsong@etri.re.kr, mchung@etri.re.kr
Contact Person: Hyewon Song <hwonsong@etri.re.kr>

P233

Shabbab Algamdi and Stephanie Ludi, Enhancing Digital Learning: A Usability Evaluation of the Canvas
LMS at the University of North Texas
Author Email(s): shabbab.algamdi@unt.edu, Stephanie.ludi@unt.edu
Contact Person: Shabbab Algamdi <shabbab.algamdi@unt.edu>

P234

Sae Hyong Park and Namseok Ko, Pangolin: Incast Avoidance in Large Datacenter networks
Author Email(s): labry@etri.re.kr, nsko@etri.re.kr
Contact Person: Sae Hyong Park <labry@etri.re.kr>

P236

Miyoung Jang, Dong-Myung Seol, Jongho Won, and Ji-Yong Kim, Design and Implementation of
Blockchain Data Anlaysis Platform
Author Email(s): myjang@etri.re.kr, dmsul@etri.re.kr, jhwon@etri.re.kr, kjy@etri.re.kr
Contact Person: Miyoung Jang <myjang@etri.re.kr>

P237

Ethan Cruz and Thilanka Munasinghe, Exploring Power Outage Prediction Using Weather andSocioeconomic Data in the Southeastern Part of the United States
Author Email(s): munast@rpi.edu, cruze6@rpi.edu
Contact Person: Thilanka Munasinghe <munast@rpi.edu>

P238

Shahadat Hossain, Raheem Mir, and Emam Hossain, Complex Networks Exploration With Triangles
Author Email(s): raheem.mir@uleth.ca, shahadat.hossain@unbc.ca, emam.hossain@uleth.ca
Contact Person: Raheem Mir <raheem.mir@uleth.ca>

P239

Dillon Chrimes and Emile Keruzore, Text mining using clinical terms in electronic records of annual falls ofpatients in home community care
Author Email(s): dchrimes@uvic.ca, emilek@uvic.ca
Contact Person: Dillon Chrimes <dchrimes@uvic.ca>

P240

Jeongseon Kim, Sungsoo Kim, and Sungsu Lim, Performance Evaluation of Data Imputation Methods forGraph Deep Learning-Based Traffic Prediction
Author Email(s): jeongseon@g.cnu.ac.kr, sungsoo@etri.re.kr, sungsu@cnu.ac.kr
Contact Person: Jeongseon Kim <jeongseon@g.cnu.ac.kr>

P241

Seunghoon Han, Sungsoo Kim, and Sungsu Lim, Improved Dynamic Coupled Graph Convolutional
Recurrent Networks for Traffic Forecasting
Author Email(s): tmdgns129@o.cnu.ac.kr, sungsoo@etri.re.kr, sungsu@cnu.ac.kr
Contact Person: Seunghoon Han <tmdgns129@o.cnu.ac.kr>

P244

Jang-Ho Choi, Moonyoung Chung, and Jiyong Kim, An Augmentation-agnostic Semantic Preserving
Technique for Data Generation
Author Email(s): janghochoi@etri.re.kr, mchung@etri.re.kr, kjy@etri.re.kr
Contact Person: Jang-Ho Choi <janghochoi@etri.re.kr>

P245

Krisztian Boros and Masafumi Oyamada, Towards Large Language Model Organization: A Case Study on
Abstractive Summarization
Author Email(s): oyamada@nec.com, ite001458@athuman.com
Contact Person: Masafumi Oyamada <oyamada@nec.com>

P246

Suha Kim, Hyuk Lim, and Seunghyun Yoon, Bi-Directional Face Tracking for Precise Facial Deidentification in Video Data

67

Author Email(s): syoon@kentech.ac.kr, water03@kentech.ac.kr, hlim@kentech.ac.kr
Contact Person: Seunghyun Yoon <syoon@kentech.ac.kr>
P247

Aakhya Singh, Chirag Bhatia, and Sohom Ghosh, The Effect of Tweets on the Traded Volume of CryptoCoins
Author Email(s): aakhyasingh31@gmail.com, 17chiragbhatia94@gmail.com, sohom1ghosh@gmail.com
Contact Person: Aakhya Singh <aakhyasingh31@gmail.com>

P248

Pepita Raventos, Josep Ballber, Celio Hernandez, Meritxell Simon Martin, Glòria Jové Monclús, andRoberto García, AI in Archival Holdings and Digital History: Interrelational, Dialogical and Cooperative
Interdisciplinary Partnerships
Author Email(s): pepita.raventos@udl.cat, josep.ballber@udl.cat, celio.hernandez@udl.cat,
meritxell.simon@udl.cat, gloria.jove@udl.cat, roberto.garcia@udl.cat
Contact Person: Pepita Raventos <pepita.raventos@udl.cat>

P249

Jia Mei Grace Lim and Olakunle Olayinka, Threat Hunting in Internet of Things Networks with Bio-Inspired
ModelsAuthor Email(s): j.lim@sheffield.ac.uk, o.olayinka@sheffield.ac.uk
Contact Person: Jia Mei Grace Lim <j.lim@sheffield.ac.uk>

P252

Edward Trudeau, Lin-Ching Chang, Yoshio Nakamura, Mohamad Koubeissi, and Julio
Bermudez, Classification of Cognitive-Aesthetic Responses Using Machine Learning and EEG data
Author Email(s): trudeaue@cua.edu, changl@cua.edu, yoshi.nakamura@utah.edu,
mkoubeissi@mfa.gwu.edu, bermudez@cua.edu
Contact Person: Edward Trudeau <trudeaue@cua.edu>

P253

Minseo Park, Hyuk Lim, and Seunghyun Yoon, Dividing and Merging for Imbalanced Long-Tail Datasets
Author Email(s): syoon@kentech.ac.kr, westpark@kentech.ac.kr, hlim@kentech.ac.kr
Contact Person: Seunghyun Yoon <syoon@kentech.ac.kr>

P256

Joanne Parkes, Andrew Smith, Steve Benford, Michael Evans, and Lianne Kerlin, Compulsive Bingers orFaithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for ‘The Traitors
US’
Author Email(s): joanne.parkes@nottingham.ac.uk, andrew.p.smith@nottingham.ac.uk,
steve.benford@nottingham.ac.uk, michael.evans@bbc.co.uk, lianne.kerlin@bbc.co.uk
Contact Person: Joanne Parkes <joanne.parkes@nottingham.ac.uk>

P257

Elena Flondor, Exploring AndroidManifest.xml for Automated Android Apps Classification
Author Email(s): elena.flondor97@e-uvt.roContact Person: Elena Flondor <elena.flondor97@e-uvt.ro>

P258

Fahad Hakami and Lin-Ching Chang, Enhancing Arrhythmia Classification through Feature Engineeringand Hierarchical Modeling
Author Email(s): hakami@cua.edu, changl@cua.edu
Contact Person: Fahad Hakami <hakami@cua.edu>

P259

Tan Tran, Lin-Ching Chang, and Peter S. Lum, Functional Arm Movement Classification in Stroke Survivors
Using Deep Learning with Accelerometry Data
Author Email(s): lum@cua.edu, 38tran@cua.edu, changl@cua.edu
Contact Person: Peter S. Lum <lum@cua.edu>

P260

Dillon Chrimes and Ivan Tang, Big data usability text mining of publicly available YouTube electronic healthrecord (EHR) tutorials
Author Email(s): dchrimes@uvic.ca, mynameisots@uvic.ca
Contact Person: Dillon Chrimes <dchrimes@uvic.ca>

P262

Youngjin Jung, Jisoo Hong, Solip Kim, and Sung Woo Kang, Ammunition Management in the AI Era:
Towards CBM+ and Shelf-life Analysis
Author Email(s): YoungjinJung@inha.edu, wltnghd5182@inha.edu, solip1@hanwha.com,
kangsungwoo@inha.ac.kr
Contact Person: Youngjin Jung <YoungjinJung@inha.edu>

P263

Jisoo Hong, Youngjin Jung, and Sung Woo Kang, Image Data Augmentation and Detection Study for
Pothole Detection Algorithm
Author Email(s): wltnghd5182@inha.edu, YoungjinJung@inha.edu, kangsungwoo@inha.ac.kr
Contact Person: Jisoo Hong <wltnghd5182@inha.edu>

P264

Hyeonmin Park, Jeongho Kim, Eunbi Cho, and Joo Hee Oh, Predicting Patent Transfer in the
Manufacturing Industry: A Machine Learning Model for Patent Analytics Using BERT68Author Email(s): jooheeoh@handong.edu, gusalsgmldud@handong.ac.kr, jeonghokim123@gmail.com,
22000724@handong.ac.kr
Contact Person: Joo Hee Oh <jooheeoh@handong.edu>
P265

Kamuna Kipa, Nigel Kari Totona, Eunbi Cho, Jeongho Kim, Seon Tae Kim, and Joo Hee Oh, A Data-Driven
Approach to Predict Social Impact of Rural Tourism: Insights from UNWTO's Video Campaigns
Author Email(s): jooheeoh@handong.edu, Kipa.kamu@gmail.com, njrtotona@gmail.com,
22000724@handong.ac.kr, jeonghokim123@gmail.com, skim78@handong.edu
Contact Person: Joo Hee Oh <jooheeoh@handong.edu>

P266

Dillon Chrimes and Chanhee Kim, Comparison of MIMIC-III and MIMIC-IV for big data analytics of healthinformatics
Author Email(s): dchrimes@uvic.ca, chanheek@uvic.ca
Contact Person: Dillon Chrimes <dchrimes@uvic.ca>

P267

Angel Kodituwakku, Clark Xu, Daniel Rogers, Dave Ahn, and Errin Fulp, Temporal Aspects of Cyber ThreatIntelligence
Author Email(s): efulp@centripetalnetworks.com, akodituwakku@centripetalnetworks.com,
cxu@centripetalnetworks.com, danielrogers@centripetalnetworks.com, dahn@centripetalnetworks.com
Contact Person: Errin Fulp <efulp@centripetalnetworks.com>

P268

Haeun Jang, Sanghee Kim, Jongseok Jeon, and JooHee Oh, Voice of Employee: Impact of Online Reviews
on Company and Job Seeker Matching Performance
Author Email(s): jooheeoh@handong.edu, ha_eun.jang@kaist.ac.kr, heexi07@handong.ac.kr,
jsjeon@postech.ac.kr
Contact Person: JooHee Oh <jooheeoh@handong.edu>

P269

Gawon Lim, Feature Importances for Predicting Future Performance of Professional Soccer Player
Author Email(s): gawonl2@illinois.edu
Contact Person: Gawon Lim <gawonl2@illinois.edu>

P270

Xintong Zhao, Kyle Langlois, Jacob Furst, Scott McClellan, Rob Fleur, Yuan An, Xiaohua Hu, Fernando
Uribe-Romo, Diego Gualdron, and Jane Greenberg, When LLM Meets Material Science: An investigationon MOF Synthesis Labeling
Author Email(s): xz485@drexel.edu
Contact Person: Xintong Zhao <xz485@drexel.edu>

P271

Rob Fleur, Addy Ireland, Xintong Zhao, Scott McClellan, Eric Paltoo, Tianyu Su, Channyung Lee, Yuan An,
Xiaohua Hu, Elif Ertekin, and Jane Greenberg, Investigating Data Reusability in Density Functional Theory
Studies
Author Email(s): xz485@drexel.edu, er934522@ucf.edu, ya45@drexel.edu, jg3243@drexel.edu
Contact Person: Xintong Zhao <xz485@drexel.edu>

P273

Seonu Kim, Yoel Shin, SeongWoo Park, Semakula Joel, Seon Tae Kim, and JooHee Oh, Detecting
Greenwashing in Sustainability Disclosures: A Prediction Model for KOSPI 200 Enterprises using ESGBERT
Author Email(s): jooheeoh@handong.edu, 21800090@handong.ac.kr, joel@handong.ac.kr,
jimmy0302z@gmail.com, joelsemakula64@gmail.com, skim78@handong.edu
Contact Person: JooHee Oh <jooheeoh@handong.edu>

P274

Georg Stefan Schlake and Christian Beecks, Towards Automated Clustering
Author Email(s): georg.schlake@fernuni-hagen.de, christian.beecks@fernuni-hagen.deContact Person: Georg Stefan Schlake <georg.schlake@fernuni-hagen.de>

P275

Giwon Sur, Hyejin Kim, Seunghyun Yoon, and Hyuk Lim, Development of AI-based Intrusion Detection
System with Real-Time Flow Feature Extraction
Author Email(s): hlim@kentech.ac.kr, gwsur@kentech.ac.kr, hyejinkim@gist.ac.kr, syoon@kentech.ac.kr
Contact Person: Hyuk Lim <hlim@kentech.ac.kr>

P276

Sukbeom Chang, Youeel Sadek Kamal Abdelnour, Ivis María Companioni Cardoso, Jeongho Kim, Joo Hee
Oh, and Seon Tae Kim, Assessing Regional Disparities in Human Development and Multidimensional
Poverty: A Satellite Imagery and Machine Learning Approach
Author Email(s): jooheeoh@handong.edu, busut487900@gmail.com, youeelkaradsheh@outlook.com,
iviscompanioni@gmail.com, jeonghokim123@gmail.com, skim78@handong.edu
Contact Person: Joo Hee Oh <jooheeoh@handong.edu>

P277

Geuna Jo, Hyuk Lim, and Seunghyun Yoon, Combining Wavelet and MFCC Features for Emotion
Recognition in Conversation

69

Author Email(s): syoon@kentech.ac.kr, rmsk2319@kentech.ac.kr, hlim@kentech.ac.kr
Contact Person: Seunghyun Yoon <syoon@kentech.ac.kr>

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