yusuke1997/dblp-id-title huggingface dataset:
CCRP: Customized cooperative resource provisioning for high resource utilization in clouds
On Relaxing Failing Queries over RDF Databases
Counting Devices: Revisiting Existing Approaches in Today's Settings
Country-specific Ensemble Learning: A Deep Learning Approach for Road Damage Detection
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images
Suspicious Location Detection Using Trajectory Analysis & Location Backfilling - A Scalable Approach
Dynamic Network Embeddings: From Random Walks to Temporal Random Walks
Querying web polystores
From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media
Training-free Monocular 3D Event Detection System for Traffic Surveillance
Some Results on Optimal Octonion-Field Locally Repairable Codes of Distance 3 and 4
Variational Open Set Recognition (VOSR)
Pseudonymization at Scale: OLCF's Summit Usage Data Case Study
An Optimized Scheduling Process for a Large Crowd to Perform Spatio-temporal Movements Safely during Pilgrimage
E-health and M-health applications in Georgia: A review on the free available applications for Android Devices
Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions
A pipeline for extracting and deduplicating domain-specific knowledge bases
Modeling Longitudinal Behavior Dynamics Among Extremist Users in Twitter Data
A Hybrid Score to Optimize Clustering Hyperparameters for Online Search Term Data
Leveraging Subgraph Structure for Exploration and Analysis of Bitcoin Address
A Hybrid Model Based on NeuralProphet and Long Short-Term Memory for Time Series Forecasting
Big Data Analytic for Cascading Failure Analysis
Classification of Decompression Sickness Signs and Symptoms Using Cluster Analysis
Temporal Graph Representation Learning via Maximal Cliques
A Graph Neural Network For Assessing The Affective Coherence Of Twitter Graphs
Elevating "Everyday" Voices and People in Archives through the Application of Graph Database Technology
Explaining Aggregates for Exploratory Analytics
Holistic and scalable ranking of RDF data
StageMap: Extracting and Summarizing Progression Stages in Event Sequences
HLAT: High-quality Large Language Model Pre-trained on AWS Trainium
Fuzzy Querying in the Cloud-based Environment for Data Stream-driven Predictive Maintenance in AGV-enabled Smart Factories
Distributed Adaptive Importance Sampling on graphical models using MapReduce
An Attacks Detection Mechanism for Intelligent Transport System
How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets
Fine-Tuning Language Models For Semi-Supervised Text Mining
A Resident Recognition Using Real and Thermal Image Pairs
Revealing the fog-of-war: A visualization-directed, uncertainty-aware approach for exploring high-dimensional data
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming
INTEGRATE-KG: A Workflow For Unifying Heterogeneous Data Driven by Shared Languages
Workload characterization for MG-RAST metagenomic data analytics service in the cloud
Short Paper: Evaluation of Location Estimation Method That Focuses on Geographical Proximity of Friends
Artificial intelligence(AI), automation, and its impact on data science
Connecting emerging relationships from news via tensor factorization
SLLIM-Rank: A Multi-Stage Item-to-Item Recommendation Model using Learning-to-Rank
A Hierarchical Classification Model for Solar Flare Prediction
Adapting to Access Locality via Live Data Migration in Globally Distributed Datastores
Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area
View Selection in Knot Deformation
FairLENS: Assessing Fairness in Law Enforcement Speech Recognition
Enabling Scalable Mineral Exploration: Self-Supervision and Explainability
AIL - The design and implementation of an Analysis Information Leak framework
A Self-limiting Hawkes Process: Interpretation, Estimation, and Use in Crime Modeling
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation
Super-sequence frequent pattern mining on sequential dataset
Boosting the phishing detection performance by semantic analysis
Smart-ML: A System for Machine Learning Model Exploration using Pipeline Graph
Urban Digital Twins for Intelligent Road Inspection
Learning skills adjacency representations for optimized reskilling recommendations
Road Damage Detection and Classification with Faster R-CNN
Software engineering for big data projects: Domains, methodologies and gaps
Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids
Deep model style: Cross-class style compatibility for 3D furniture within a scene
Totally automated keyword extraction
Spatial computations over terabyte-sized images on hadoop platforms
AI Generated Speech Detection Using CNN
Real World Examples Suggest a Path to Automated Mitigation of Disinformation
A semantics-aware storage framework for scalable processing of knowledge graphs on Hadoop
Data analytics for modeling soil moisture patterns across united states ecoclimatic domains
Analyzing Threat Vectors in ICS Cyberattacks
Demystify scrambled and encoded images with auto-encoders
Comparing Association Rules and Deep Neural Networks for Heart Disease Prediction
G-Storm: GPU-enabled high-throughput online data processing in Storm
Sub-Sequence Graph Representation Learning on High Variability Data for Dynamic Risk Prediction in Critical Care
Blockchain Based Provenance Sharing of Scientific Workflows
Extracting the Security Features Implemented in a Bluetooth LE Connection
Challenges of data integration and interoperability in big data
Federated Learning on Knowledge Graph Embeddings via Contrastive Alignment
User-guided Page Merging for Memory Deduplication in Serverless Systems
Learning Effective Embeddings for Machine Generated Emails with Applications to Email Category Prediction
Effectively crowdsourcing the acquisition and analysis of visual data for disaster response
Simple and Efficient Identification of Personally Identifiable Information on a Public Website
Tracking the Evolution of Words with Time-reflective Text Representations
Candidate List Maintenance in High Utility Sequential Pattern Mining
Metadata Verification: A Workflow for Computational Archival Science
Cluster-overlap algorithm for assessing preprocessing choices in environmental sustainability
Fast distributed k-nn graph update
Multi-step LRU: SIMD-based Cache Replacement for Lower Overhead and Higher Precision
Context-Aware and User Intent-Aware Follow-Up Question Generation (CA-UIA-QG): Mimicking User Behavior in Multi-Turn Setting
Big spatial data mining
The Microsoft Academic Search challenges at KDD Cup 2013
Big data computation of taxi movement in New York City
Towards Real Time Team Optimization
Privacy-Preserving User Profiling with Facebook Likes
From Big Data to Knowledge: Issues of Provenance, Trust, and Scientific Computing Integrity
Large-scale graph representation learning
FeedRef2022: A Named Entity Recognition Dataset for Extracting Indicators of Compromise
Hybrid.Poly: Performance Evaluation of Linear Algebra Analytical Extensions
COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics
Predicting the next stage of China's household sustainable energy consumption research based on a comparative knowledge graph analysis between China and foreign countries
Decoder Transfer Learning for Predicting Personal Exposure to Air Pollution
Fast Bag-Of-Words Candidate Selection in Content-Based Instance Retrieval Systems
Hierarchical Uncertainty Aggregation and Emphasis Loss for Active Learning in Object Detection
Mining Illegal Insider Trading of Stocks: A Proactive Approach
Review : The Potential Use of Blockchain Technology in Railway Applications: An Introduction of a Mobility and Speech Recognition Prototype
Robust crowdsourced learning
Comparison of SQL, NoSQL, and NewSQL Database Technologies
Learning with Variational Objectives on Measures
Classifying Powder Flowability for Cold Spray Additive Manufacturing Using Machine Learning
Scalable big data computing for the personalization of machine learned models and its application to automatic speech recognition service
EPIC30M: An Epidemics Corpus of Over 30 Million Relevant Tweets
Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery
Interpretable feature subset selection: A Shapley value based approach
Reliability Characterization of Solid State Drives in a Scalable Production Datacenter
Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms
Epidemiological modeling of bovine brucellosis in India
A Complete Data Science Work-flow For Insurance Field
Sleep-deprived fatigue pattern analysis using large-scale selfies from social media
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks
Metadata capital: Simulating the predictive value of Self-Generated Health Information (SGHI)
Improving Multi-Domain Task-Oriented Dialogue System with Offline Reinforcement Learning
Identifying Protection Motivation Theory Factors that Influence Smartphone Security Measures
A Concept-Drift Based Predictive-Analytics Framework: Application for Real-Time Solar Irradiance Forecasting
Blockchain Evolution: from Bitcoin to Forensic in Smart Grids
Predicting high taxi demand regions using social media check-ins
Proactive Query Expansion for Streaming Data Using External Sources
Adaptive Shrinkage Denoising and Sequential State Extraction Model for Vibration Event Recognition
FinDX: A Versatile, Low-Resource Approach to Financial Website Classification
Assessment of dimensionality reduction based on communication channel model; application to immersive information visualization
Feature-based Distant Domain Transfer Learning
Improving Machine Learning Tools with Embeddings: Applications to Big Data Security
Impact of BGM Point Profiles on Glycemic Variability Prediction Accuracies
Modeling self-service machine-learning agents for distributed stream processing
Scalable SubXPCA with Extended Morphological Profiles Applied to Hyperspectral Image Classification on a Distributed Platform
Examining the Representation of Youth in the US Policy Documents through the Lens of Research
How to Control Coronavirus Conspiracy Theories in Twitter? A Systems Thinking and Social Networks Modeling Approach
Malicious URL Linkage Analysis and Common Pattern Discovery
Sequential pattern mining of electronic healthcare reimbursement claims: Experiences and challenges in uncovering how patients are treated by physicians
Trilogy: Data placement to improve performance and robustness of cloud computing
A generalized incremental bottom-up community detection framework for highly dynamic graphs
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach
Using cloud bursting to count trees and shrubs in Sub-Saharan Africa
Three critical matters in big data projects for e-science: Different user groups, the mutually constitutive perspective, and virtual organizational capacity
Community Detection Using An Improved Label Propagation Algorithm
Using big data to enhance the bosch production line performance: A Kaggle challenge
Worth the Wait? Time Window Feature Optimization for Attack Classification
Analysis of time management models in AGV wireless communication
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
Establishing the safety of a smart heart health monitoring service through validation
Extracting Explainable Deep Representation for Machine Tutoring
Combining fault-tolerant persistence and low-latency streaming access to binary data for AI models
Multi-layer Facial Representation Learning for Early Prediction of Septic Shock
Structured Intention Generation with Multimodal Graph Transformers: The MMIntent-LLM Framework
Optimizing Repair-Cost of Locally Repairable Codes for Hot Data in Cluster Storage Systems
Hybrid active learning for non-stationary streaming data with asynchronous labeling
Teachable Insights from Working with The Mary Eliza Project for Gastronomy Students Working with Data
Graph Clustering with Embedding Propagation
Evaluation of data quality of multisite electronic health record data for secondary analysis
On the coverage of science in the media: A big data study on the impact of the Fukushima disaster
A data fusion framework for large-scale measurement platforms
Data masking techniques for NoSQL database security: A systematic review
LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models
Statistical Modeling of Air Pollutants for Predicting AQI Levels
Road Damage Detection using Deep Ensemble Learning
Memory Efficient Graph Convolutional Network based Distributed Link Prediction
Cross-Domain Hashtag Recommendation and Story Revelation in Social Media
hUGe 2 : An Interdisciplinary Research Program for Sustainability
Development of Prototype System to Generate Chronological Response Scenario Dataset by Assembling Multi-responders' Action Logs at Past Disaster
Detailed Configuration of Spatial Hadoop-based Spatial Big Data System and Main Service Status
A top-down k-anonymization implementation for apache spark
Can GPT-4 Think Computationally about Digital Archival Tasks? - Part 2
An Efficient Single-pass Online Computation of Higher-Order Bivariate Statistics
Enhanced Alternate Action Recommender System Using Recurrent Patterns and Fault Detection System for Smart Home Users
Automatic Extraction of Dublin Core Metadata from Presidential E-records
Word embedding for job market spatial representation: tracking changes and predicting skills demand
Efficient Scalable Temporal Web Graph Store
Micro-clustering by data polishing
Blockchain-Enhanced Framework for Secure Third-Party Vendor Risk Management and Vigilant Security Controls
Collective subjective logic: Scalable uncertainty-based opinion inference
"Siri, how long should this offender stay in prison?" Considerations about the use of algorithms for judgments in criminal proceedings
Inventory Cost Control Model for Fresh Product Retailers Based on DQN
Detection of Advanced Persistent Threats using Artificial Intelligence for Deep Packet Inspection
Words of Suicide: Identifying Suicidal Risk in Written Communications
Context Aware Flow Prediction of Bike Sharing Systems
Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention
Integrating categorical and continuous data in a cluster-then-classify methodology for predicting undergraduate student success
Exploring Global Gender Gaps in the Blockchain Domain: Insights from LinkedIn Advertising Data
Knowledge-based clustering of ship trajectories using density-based approach
Swarm Intelligence (SI) based profiling and scheduling of big data applications
Evaluating funding programs through network centrality measures of co-author networks of technical papers
Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models
Learning machines for computational epidemiology
Game Based Virtual Reality Platform for Geometry
Integrating Noisy Knowledge into Language Representations for E-Commerce Applications
Real-time Multi-granular Analytics Framework for HIT Systems
RnR: Extraction of Visual Attributes from Large-Scale Fashion Dataset
Modeling, validation and verification of cell-scaffold contact measurements over terabyte-sized 3D image collection
Classification of Autism Spectrum Disorder Using rs-fMRI data and Graph Convolutional Networks
Accessing and distributing large volumes of NetCDF data
Scalable Distributed Top-k Join Queries in Topic-Based Pub/Sub Systems
A King's Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
Distributed confidence-weighted classification on MapReduce
UAV-VQG: Visual Question Generation Framework on UAV Images
Access control for big data using data content
From Text Classification to Keyphrase Extraction for Short Text
Semantic HMC for big data analysis
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning
Performance Analysis of Divide-and-Conquer strategies for Large scale Simulations in R
RI-GCN: Review-aware Interactive Graph Convolutional Network for Review-based Item Recommendation
Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection
Addressing Spend Leakage and Optimization of Cloud Costs
An Authentication System using Neurological Responses to Music
Enhancing Object Detection in YouTube Thumbnails Forensics with YOLOv4
Japanese Mistakable Legal Term Correction using Infrequency-aware BERT Classifier
Machine Learning Use Cases for Smart Manufacturing KPIs
Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks
The need for a numeric measure of explainability
Cognitive Metric Monitoring - Characterizing spatial-temporal behavior for anomaly detection
Automatic sleep stage classification for sleep apnea patients using an in-home sleep electroencephalography device
Intelligent Chatter Detection in Milling using Vibration Data Features and Deep Multi-Layer Perceptron
Alleviating I/O Inefficiencies to Enable Effective Model Training Over Voluminous, High-Dimensional Datasets
FineCloud: Fine-grained Cloud Service Advisory using Machine Learning
A crowd-in-the-loop approach for generating conference programs with microtasks
Policy based Ensembles for applying ML on Big Data
Informed Named Entity Recognition Decoding for Generative Language Models
Uncertainty-Aware Optimisation for Sustainable Multimedia Event Processing in Big Data Streams
Flood Event Detection from Sentinel 1 and Sentinel 2 Data: Does Land Use Matter for Performance of U-Net based Flood Segmenters?
Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing
Business model canvas perspective on big data applications
Valuing Player Actions in Counter-Strike: Global Offensive
A novel framework for join order selection based on reinforcement and representation learning
Towards Semantically Enhanced Digital Twins
Probabilistic Named Entity Recognition for nonstandard format entities using cooccurrence word embeddings
Data veracity estimation with ensembling truth discovery methods
Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model
Federated Multimodal Big Data Storage & Analytics Platform for Additive Manufacturing
Accounting for Traffic Congestion: Heterogeneous Target Arrival Times, Uncertainty, and Monetary Incentives
Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud
Stream mining for solar physics: Applications and implications for big solar data
A Framework to Extract Trip Informatics for Individuals and Groups Using Mobile Sensory Data in Mass Gathering Events
A hybrid model for anomaly-based intrusion detection in SCADA networks
GAN-based Anomaly Detection for Urban Sensing
Smartwatch-Based Human Staff Activity Classification: A Use-Case Study in Internal Logistics Systems Utilizing AGVs
Vessel route anomaly detection with Hadoop MapReduce
Airline Miles Redemption
Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras
Non-Uniform Parameter-Wise Model Merging
Collaboration in relation to Human-AI Systems: Status, Trends, and Impact
Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse
Automated IT system failure prediction: A deep learning approach
The Power of Many: Investigating Defense Mechanisms for Resilient Graph Neural Networks
Forensic database reconstruction
A Cascade CNN Model based on Adaptive Learning Rate Thresholding for Reliable Face Recognition
Communication efficient distributed learning of neural networks in Big Data environments using Spark
AI-Generated Images as an Emergent Record Format
Methodology for Interpretable Reinforcement Learning Model for HVAC Energy Control
Immersive and collaborative data visualization using virtual reality platforms
Benchmarking of Quantization Libraries in Popular Frameworks
Big data solutions for predicting risk-of-readmission for congestive heart failure patients
The Influence of Social Factors on Mental Health and Wellbeing during the COVID-19 Pandemic
MPI4Spark Meets YARN: Enhancing MPI4Spark through YARN support for HPC
Coupling early warning services, crowdsourcing, and modelling for improved decision support and wildfire emergency management
Quasi-erasable itemset mining
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets
Computational method of database construction for genetic variant calling
Incorporating Prior Domain Knowledge into Deep Neural Networks
Hotspots of Eviction: Guiding Dual-Track Policy Intervention with Spatial Analysis
Recycle.io: An IoT-Enabled Framework for Urban Waste Management
Feature Acquisition Using Monte Carlo Tree Search
Improving data sharing in data rich environments
Exploration of Workflow Management Systems Emerging Features from Users Perspectives
Deriving cyber use cases from graph projections of cyber data represented as bipartite graphs
Factor Detection Task of Cyberbullying Using the Deep Learning Model
Graph Clustering Using Node Embeddings: An Empirical Study
POSUM: A Portfolio Scheduler for MapReduce Workloads
Privacy Preserving Survival Prediction
Evaluating structural engineering finite element analysis data using multiway analysis
Estimation of Transactional Network Data Between Branch Offices using Transactional Big Data Throughout Japan
RIVAChain: Blockchain-based Integrity Verification for File Transfers
Boosting Stochastic Newton Descent for Bigdata large scale classification
Classifying Android Applications Via System Stats
Legion-based scientific data analytics on heterogeneous processors
Multiple submodels parallel support vector machine on spark
Big data challenges in railway engineering
Deep Learning Models with Stratification-based Loss Function on Domain Knowledge-based Time series Data: Hypotension Prediction
Multi-Label Classification of Text Documents Using Deep Learning
VHGN: Cooperative Multiagent Reinforcement Learning with Historical Information Graph
Testing Quality of Service of communication system for AGV fleet with Software-Defined Network
Context-Augmented Software Development in Traditional and Big Data Projects: Literature Review and Preliminary Framework
Inferring bike trip patterns from bike sharing system open data
Defining an Alert Mechanism for Detecting likely threats to National Security
Analysing Social Media as a Hybrid Tool to Detect and Interpret likely Radical Behavioural Traits for National Security
Language-Agnostic and Language-Aware Multilingual Natural Language Understanding for Large-Scale Intelligent Voice Assistant Application
Appraising digital archives with Archivematica
Interpretable Sock Puppet Attribution
Improving Paper Classification Using Forecasting
MapReduce-based deep learning with handwritten digit recognition case study
BlinkPass: A Means of Securely Accessing Social Networks
Time dependent analysis of financial networks using supervised latent feature relational models
A Simulation-based Approach for Large-scale Evacuation Planning
Discovering dynamic patterns of urban space via semi-nonnegative matrix factorization
CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks
SkipSNN: Efficiently Classifying Spike Trains with Event-attention
Exploring the Landscape of Distributed Graph Clustering on Leadership Supercomputers
Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data
Graph Neural Networks for Precision-Guaranteed Compression of Large-scale Data
Towards a subgraph/supergraph cached query-graph index
Exploring The Capabilities of Single-Stage Instance Segmentation Models for Building Extraction
Revitalizing Language Processing with Intelligent Syntax Repair and Boolean Tensor Completion