yusuke1997/dblp-id-title huggingface dataset:
Path knowledge discovery: Association mining based on multi-category lexicons
Efficient processing of top-k joins in MapReduce
Profit estimation error analysis in recommender systems based on association rules
Aligning Knowledge Graphs Provided by Humans and Generated by Neural Networks
Customising geoparsing and georeferencing for historical texts
Comparison of CNN and QCNN Performance in Binary Classification of Breast Cancer Histopathological Images
Adobe Identity Graph
Traffic Congestion Prediction Using Toll and Route Search Log Data
Unsupervised Risk for Privacy
An iterative sinogram metal artifact reducdion based on UNet
Revealing Universities' Atmosphere from Visitor Interests Using Search Queries and GPS Logs
Reduction of Traffic Congestion by Using Chaotic Traffic Flow in a Scaled Traffic Model
Detecting Fake Points of Interest from Location Data
Fault-tolerant Subgraph Matching on Aligned Networks
Myoelectric Human Computer Interaction Using CNN-LSTM Neural Network for Dynamic Hand Gestures Recognition
Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle
IoT Botnet-Traffic Classification Using Few-Shot Learning
AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction
Deal or No Deal: Predicting Mergers and Acquisitions at Scale
Android malware development on public malware scanning platforms: A large-scale data-driven study
Self-configured Entity Resolution with pyJedAI
Measuring Distances Among Graphs En Route To Graph Clustering
Experimental Evaluation of Bounded-Depth LSM Merge Policies
Towards Real-world Deployment of Deep Learning Solutions for Global Road Damage Detection and Classification
Listen, Nudge, Empower: A Mobile Gratitude Journal Application
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters
Uncertainty Estimation for a Dual-Embedding based Entity Extraction Service
HAMLET: Hierarchical Attention-based Model with muLti-task sElf-Training for user profiling
Explainable Text Classification for Legal Document Review in Construction Delay Disputes
"DEKATSU" activity of data and service collaboration among private companies and academic institutions for Tokyo metropolitan resilience project
Smart City Digital Twin Platform Architecture for Mobility and Transport Decision Support Systems
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting
Countermeasure of Statistical Inference in Database Security
2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015
LASSO Logic Engine: harnessing the logic parsing capabilities of the LASSO algorithm for longitudinal feature learning
AFrame: Extending DataFrames for Large-Scale Modern Data Analysis
Time Series Forecasting with GCN-LSTM Based Unified Model for Product Demand Prediction
Modeling martian thermal inertia in a distributed memory high performance computing environment
Java thread and process performance for parallel machine learning on multicore HPC clusters
A community detection method based on K-shell
Student success analysis for minority students in higher education
Artificial Intelligence-Based Plant Breeding using Genotype and Phenotype Data: Methods and Future Work
Neural Networks Voting for Projection Based Ensemble Classifiers
A multi-task machine learning approach for comorbid patient prioritization
Controlled experiments for decision-making in e-Commerce search
The Performance of LSTM and BiLSTM in Forecasting Time Series
Predicting Chess Puzzle Difficulty with Transformers
SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix
Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding
Efficient incremental data analytics with apache spark
MapReduce-based computation of area skyline query for selecting good locations in a map
Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads
PACE: Platform for Android Malware Classification and Performance Evaluation
WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition
Parallel computation of magnetic field parameters from HMI active region patches
A Longitudinal Social Network Clustering Method Based on Tie Strength
Star-Bridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom networks
Critical-Threat-Alert Detection using Online Machine Learning
Machine Learning Approaches to Predict Functional Upper Extremity Use in Individuals with Stroke
Detecting unmanaged and unauthorized devices on the network with long short-term memory network
Big Federal Data Centers Implementing FAIR Data Principles: ARM Data Center Example
Covid Vaccine Sentiment Analysis by Geographic Region
Classification of big velocity data via cross-domain Canonical Correlation Analysis
Continual Learning with Network Intrusion Dataset
Fraud Detection via Contrastive Positive Unlabeled Learning
AI-Driven Genetic Algorithms for Enhanced Numeric Feature Quantization in IoT Device Fingerprinting for Threat Detection
Learning Light-Weight Edge-Deployable Privacy Models
On the Mining of the Minimal Set of Time Series Data Shapelets
A Proposal for Trustworthy Artificial Intelligence
Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large datasets
iFiG: Individually Fair Multi-view Graph Clustering
Efficient Privacy Preserving Record Linkage at Scale using Apache Spark
PSH: A probabilistic signature hash method with hash neighborhood candidate generation for fast edit-distance string comparison on big data
Qualitative Mapping Modeling of Criminals' Sense of Security in Theft Cases
A general supervised approach to segmentation of clinical texts
Trustworthiness of Citizen Journalists Videos from the Perspective of Archival Science
A method of cleaning data from IoT devices in Big data systems
Unsupervised domain-agnostic identification of product names in social media posts
PortHadoop: Support direct HPC data processing in Hadoop
Automated Machine Learning for EEG-Based Classification of Parkinson's Disease Patients
ARCHIE: Data Analysis Acceleration with Array Caching in Hierarchical Storage
A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok
Effects of image quality and quantity on building a competitive COVID-19 diagnosis model
A novel visual analytics approach for clustering large-scale social data
A parallel algorithm for generating a random graph with a prescribed degree sequence
ClinicalLayoutLM: A Pre-trained Multi-modal Model for Understanding Scanned Document in Electronic Health Records
Knowledge Graph-Based Multi-Agent Path Planning in Dynamic Environments using WAITR
Text Spotting in Natural Scenes Based on Feature Pyramid Neural Network
Textual Out-of-Distribution Data Detection Based on Granular Dictionary
Multimodal Deep Learning for Online Meme Classification
BioSentEval: An Evaluation Toolkit for Chinese Medical Sentence Representation
Explainable RNN Classification of Right Ventricular Dysfunction from Echocardiogram Reports
Intelligent analysis of digital evidences in large-scale logs in power systems attributed to the attacks
Visual analysis of bi-directional movement behavior
A scalable sequential principal component analysis algorithm (SeqPCA) with application to user access control analysis
Acceleration of Large Deep Learning Training with Hybrid GPU Memory Management of Swapping and Re-computing
Countering Inside Threat Actors in Algorithm-Based Media
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs
The influences of deep-sea vision data quality on observational analysis
Data-driven control of a class of discrete-time linear complex dynamical networks
Fine-grained mining of illicit drug use patterns using social multimedia data from instagram
Governance in Adaptive Normative Multiagent Systems for the Internet of Smart Things: Challenges and Future Directions
Cyber Threat Intelligence in Smart Cities: Bayesian Inference and Energy Optimization in LoRa Networks for Big Data Applications
Forecast of Wildfire Potential Across California USA Using a Transformer
Adversarial Explanations for Informed Civilian and Environmental Protection
On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network
Label Denoising and Counterfactual Explanation with A Plug and Play Framework
Structure Estimation of Financial Networks and Its Correlation with Mobility Data
The impact of preprocessing in natural language for open source intelligence and criminal investigation
ERATTA: Extreme RAG for enterprise-Table To Answers with Large Language Models
Robust category recognition based on deep templates for educational mobile applications
Towards XAI in the SOC - a user centric study of explainable alerts with SHAP and LIME
Visualizing the Impact of Severe Weather Disruptions to Air Transportation
T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection
Mitigating Representation Bias in Data Transformations: A Constraint-based Optimization Approach
Data-Push Projects and their Unique Feature: Managing with Anomalies
DARC: High-dimensional Diffusing Anomaly Detection and Root Cause Location in Cloud Computing Systems
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis
Fast, lenient and accurate: Building personalized instant search experience at LinkedIn
Establishment of Work-Flow for Roof Damage Detection Utilizing Drones, Human and AI based on Human-in-the-Loop Framework
Improving EEG feature learning via synchronized facial video
User-curated image collections: Modeling and recommendation
MuLan: Multilevel Language-based Representation Learning for Disease Progression Modeling
Knowledge-Oriented Graph-Based Approach to Capture the Evolution of Developers' Knowledge
Robotomata: A framework for approximate pattern matching of big data on an automata processor
Multiscale graph theoretical tools reveal subtle patterns in big geospatial data
Analyzing Spatiotemporal Trends and Anomalies in Power Outage Data Across the United States
Confli-T5: An AutoPrompt Pipeline for Conflict Related Text Augmentation
Community-based self generation of policies and processes for assets: Concepts and research directions
OPOSSAM: Online Prediction of Stream Data Using Self-adaptive Memory
Event Detection from Social Media Stream: Methods, Datasets and Opportunities
Prompting Large Language Models for Topic Modeling
A database-based distributed computation architecture with Accumulo and D4M: An application of eigensolver for large sparse matrix
Utilizing Multivariate Time Series for Semantic Segmentation
Using Graph Neural Networks to Investigate the Relationship Between the Socioeconomic Factors and Emergency Medical Service (EMS) Median Response Time in New York City
Evolution of scientific collaboration networks
Creating, Using and Assessing a Generative-AI-Based Human-Chatbot-Dialogue Dataset with User-Interaction Learning Capabilities
Intelligent Exploration of Large-Scale Data: What Can We Learn in Two Passes?
Recovery-Robust Inquiry to External Services from Stream Processing Application
Application-driven sensing data reconstruction and selection based on correlation mining and dynamic feedback
New data paradigms: From the crowd and back
Large Language Models in Education: Vision and Opportunities
Effective Outlier Detection based on Bayesian Network and Proximity
Forecast and analysis of food donations using support vector regression
VidAnomaly: LSTM-Autoencoder-Based Adversarial Learning for One-Class Video Classification With Multiple Dynamic Images
EduMAS: A Novel LLM-Powered Multi-Agent Framework for Educational Support
A Capacity Framework of Community Readiness for Supporting Big Data Science Projects during Cyberinfrastructure Diffusion
Locating visual storm signatures from satellite images
Boosting Agricultural Diagnostics: Cassava Disease Detection with Transfer Learning and Explainable AI
Storing and manipulating environmental big data with JASMIN
GNN-Based Persistent K-core Community Search in Temporal Graphs
End-to-End Performance Optimization for Training Streaming Convolutional Neural Networks using Billion-Pixel Whole-Slide Images
An Application of Object Detection in Contract Analysis
Unified Temporal Erasable Itemset Mining with a Lower-Bound Strategy
An improved P2P file system scheme based on IPFS and Blockchain
Targoat: Improving Dataset Upload Time to Object Storage using Client-Server Cooperation
GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of NoSQL Databases for Geospatial Workloads
All-in-One Urban Mobility Mapping Application with Optional Routing Capabilities
Group-Scheme: SIMD-based compression algorithms for web text data
Learning Code Representations Using Multifractal-based Graph Networks
Causal Inference with Correlation Alignment
Clinical named entity recognition: Challenges and opportunities
Uncertainty of Traffic Congestion Estimation Using Nationwide Pseudo Trip Data and Agent-Based Simulation
Detecting industrial vehicles' duty levels using contrastive learning
Spark-based Spatial Association Mining
clusiVAT: A mixed visual/numerical clustering algorithm for big data
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector
Early Wildfire Detection Using One Class Learning
Massively scalable near duplicate detection in streams of documents using MDSH
CrowdQuake+: Data-driven Earthquake Early Warning via IoT and Deep Learning
Cash flow prediction of a bank deposit using scalable graph analysis and machine learning
Towards hybrid online on-demand querying of realtime data with stateful complex event processing
Automatic Multimodal Heart Disease Classification using Phonocardiogram Signal
Deep Convolutional Neural Networks for Log Event Classification on Distributed Cluster Systems
Improving Model Performance Using Metric-Guided Data Selection Framework
An optimized frequent pattern mining algorithm with multiple minimum supports
Piecewise Computation of Persistent Homology
On the usability of Hadoop MapReduce, Apache Spark & Apache flink for data science
Ocean surface current prediction based on HF radar observations using trajectory-oriented association rule mining
Consideration on TV audience rating and influence of social media
Blood Cells Counting and Localisation through Deep Learning Object Detection
Content-based Classification of Political Inclinations of Twitter Users
Trust-centric Big Data Ecosystem: An Ethical Framework in Autonomous Driving
Deep Network For Road Damage Detection
GeoMatch: Efficient Large-Scale Map Matching on Apache Spark
Fast OLAP query execution in main memory on large data in a cluster
AI-Ready Multimodal Data Pipeline to Enrich Cancer Care
A feasibility experiment on the application of predictive coding to instant messaging corpora
Stratification of, albeit Mathematical Optimization and Artificial Intelligent (AI) Driven, High-Risk Elderly Outpatients for priority house call visits - a framework to transform healthcare services from reactive to preventive
Digital Evidence Data Collection: Cloud Challenges
A Deep Learning Approach for Climate Parameter Estimations and Renewable Energy Sources
Foundation Data Space Models: Bridging the Artificial Intelligence and Data Ecosystems (Vision Paper)
An Empirical Analysis of Text Segmentation for BERT Classification in Extended Documents
Moving past the "Wild West" era for Big Data
Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter
Online temporal-spatial analysis for detection of critical events in Cyber-Physical Systems
A Real-time, Scalable Monitoring and User Analytics Solution for Microservices-based Software Applications
LSTM for septic shock: Adding unreliable labels to reliable predictions
Exploring Query Understanding for Amazon Product Search
WebLens: Towards Web-scale Data Integration, Training the Models
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities
Differentially Private Federated Continual Learning with Heterogeneous Cohort Privacy
Dynamic Graph Attention Recurrent Network for Traffic Prediction
An Efficient Modeling Approach for Nurse Rostering Problem: Use Case
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment
Long Short-Term Memory Neural Network for Financial Time Series
Embracing Foundation Models for Advancing Scientific Discovery
MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records
Auto-Regressive Self-Attention Models for Diagnosis Prediction on Electronic Health Records
Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases
Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images
I/O chunking and latency hiding approach for out-of-core sorting acceleration using GPU and flash NVM
Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models
A Computational Approach to Historical Ontologies
A Simple Method to Remove Reviews against Guideline for Online Review Services
Efficient Host Intrusion Detection using Hyperdimensional Computing
Model driven reverse engineering of NoSQL property graph databases: The case of Neo4j
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents
DSDQuery DSI - Querying scientific data repositories with structured operators
WalkBayes: Robust Node Classification via Bayesian Inference and Random Walks under Perturbations
Metapath Enhanced Graph Attention Encoder for HINs Representation Learning
Calculating feature importance in data streams with concept drift using Online Random Forest
Diverse Data Expansion with Semi-Supervised k-Determinantal Point Processes
DriveSense: Contextual handling of large-scale route map data for the automobile
Unsupervised Anomaly Detection in Data Quality Control
From DIKW pyramid to graph database: a tool for machine processing of nutritional epidemiologic research data
Fake News: A Method to Measure Distance from Fact
IGRP: Iterative Gradient Rank Pruning for Finding Graph Lottery Ticket
HILITE: Human-in-the-loop Interactive Tool for Image Editing
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network
Analyzing Adverse Event Signal Detection with Publicly Available Web Sources
Secure power scheduling auction for smart grids using homomorphic encryption
Sentiment Analysis in Turkish with Deep Learning
Bilinear Attention Based Learning on Graphs
All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection
Modeling and querying data in NoSQL databases
Analyzing a Data Science Online Practitioner Community: Trends and Implications for Data Science Project Management
Secure and Efficient Federated Transfer Learning
Detection of Newly Registered Malicious Domains through Passive DNS
Cyber crime investigations in the era of big data
Toward data quality analytics in signature verification using a convolutional neural network
E-commerce Product Query Classification Using Implicit User's Feedback from Clicks
AltOOM: A Data-driven Out of Memory Root Cause Identification Strategy
Objective Sleep Quality as a Predictor of Mild Cognitive Impairment in Seniors Living Alone
Demographic Data-driven Deprivation Index for Predicting Chronic Diseases
Development of an Explainable Prediction Model of Heart Failure Survival by Using Ensemble Trees
Social Event Detection with Reinforced Deep Heterogeneous Graph Attention Network
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam
A closed-loop deep learning architecture for robust activity recognition using wearable sensors
Deploy-Efficient and Fast Network Probing with Time-Series Foundation Models
Communication-Efficient Multi-Modal Federated Learning via Dynamic Client-Modality Matching
Describing solar images with sparse coding for similarity search
Threat Hunting in Internet of Things Networks with Bio-Inspired Models
BUBBLE : A Quality-Aware Human-in-the-loop Entity Matching Framework
Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings
Tile & Merge: Distributed Delaunay Triangulations for Cloud Computing
One-GPT: A One-Class Deep Fusion Model for Machine-Generated Text Detection
Mask Mandates and COVID-19 Infection Growth Rates
Identifying sensor accesses from service descriptions
Improving the utility in differential private histogram publishing: Theoretical study and practice
An Indexing Scheme for Telerehabilitation Big Data
Introducing the Partial Clustering Problem
Disease Diagnosis Prediction of EMR Based on BiGRU-Att-CapsNetwork Model
Exploratory Data Analysis with Database-backed Dataframes: A Case Study on Airbnb Data
Crosslingual Section Title Alignment in Wikipedia
More is Less - Byte-quantized models are faster than bit-quantized models on the edge
A Multi-objective Residual TrajGRU Model for Wind Field Forecasting
Global Road Damage Detection: State-of-the-art Solutions
AI in the Law: Towards Assessing Ethical Risks
Iterative matrix correlation for bisection clustering
Practical distributed classification using the Alternating Direction Method of Multipliers algorithm
Local join optimization over a heterogeneously distributed scientific database
PyHessian: Neural Networks Through the Lens of the Hessian
An explainable framework based on counterfactual explanations for multi-class financial distress prediction of small and medium enterprises
DP-WHERE: Differentially private modeling of human mobility
A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer's Disease Drug Repurposing
Scalable time-versioning support for property graph databases
A New Approach for Efficient Structure Discovery in IoT
Using Information in Access Logs for Large Scale Identity Linkage
Pre-trained Transformer Uncovers Meaningful Patterns in Human Mobility Data
Generalized Causal Tree for Uplift Modeling
Tensor Space Model-based Textual Data Augmentation for Text Classification
Automatic Time Signature Determination for New Scores Using Lyrics for Latent Rhythmic Structure
A Semi-Supervised Approach for Identification of the Sections in Charge of RFQ Documents
Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors
Building new knowledge from distributed scientific corpus: HERBADROP & EUROPEANA: Two concrete case studies for exploring big archival data
Hide My Payload: An Empirical Study of Antimalware Evasion Tools
Cryptocurrencies Forensics With Real-Time Intelligence and Graph Database: a Comprehensive Review
Accelerating concept-dependent granulation technique using data decomposition
Constructing Suffix Array of Next-Generation Sequencing upon In-Memory Lookup Cloud and MapReduce
Attention-based Multi-task Learning for Sensor Analytics
A framework of spatial co-location mining on MapReduce
When LLM Meets Material Science: An Investigation on MOF Synthesis Labeling
Making Case for Using RAFT in Healthcare Through Hyperledger Fabric
Defending SDN-based IoT Networks Against DDoS Attacks Using Markov Decision Process
On-demand data analytics in HPC environments at leadership computing facilities: Challenges and experiences
Performance Optimization of Allreduce Operation for Multi-GPU Systems
Forecast UPC-level FMCG demand, Part II: Hierarchical reconciliation
A Machine Learning fMRI Approach in the Diagnosis of Autism
Smardy: Zero-Trust FAIR Marketplace for Research Data
Privacy Preserving Time-Series Forecasting of User Health Data Streams
Using Human Mobility Patterns to Forecast Outliers in Citizen Complaints Data
DISTINGER: A distributed graph data structure for massive dynamic graph processing
Artificial intelligence applied to challenges in the fields of operations and customer support
CONAN: Contrastive Fusion Networks for Multi-view Clustering
Functional approach for Two Way Dimension Reduction in Time Series