yusuke1997/dblp-id-title huggingface dataset:
Link Prediction Adversarial Attack Via Iterative Gradient Attack
CDHFL-HA: Collaborative Dynamic Hierarchical Federated Learning With Hypernetwork Aggregation for Sentimental Analysis
WiONE: One-Shot Learning for Environment-Robust Device-Free User Authentication via Commodity Wi-Fi in Man-Machine System
Learning to Extract Expert Teams in Social Networks
Fusing Behavioral Projection Models for Identity Theft Detection in Online Social Networks
Investigating the Temporal Association of Biomedical Research on Small Business Funding: A Bibliometric and Data Analytic Approach
Adversarial Learning-Based Sentiment Analysis for Socially Implemented IoMT Systems
The Blame Game: Understanding Blame Assignment in Social Media
A Hybrid Probabilistic Multiobjective Evolutionary Algorithm for Commercial Recommendation Systems
A Multidimensional Contract Design for Smart Contract-as-a-Service
MRFS: Mining Rating Fraud Subgraph in Bipartite Graph for Users and Products
A Comprehensive Understanding of Code-Mixed Language Semantics Using Hierarchical Transformer
Interactive Serious Games for Cognitive Training of Older Adults: A Systematic Review
Unscrambling Customer Recommendations: A Novel LSTM Ensemble Approach in Airline Recommendation Prediction Using Online Reviews
Service-Splitting-Based Privacy Protection Mechanism for Proximity Detection Supporting High Utility
Improved Target-Specific Stance Detection on Social Media Platforms by Delving Into Conversation Threads
A Novel Stream Clustering Framework for Spam Detection in Twitter
V2AnomalyVec: Deep Discriminative Embeddings for Detecting Anomalous Activities in Surveillance Videos
Joint Multi-Grained Popularity-Aware Graph Convolution Collaborative Filtering for Recommendation
REDGCN: Rating-Oriented Explicit Disentangling Graph Convolution Network for Review-Aware Recommendation
Blockchain-Based Trust Mechanism for IoT-Based Smart Manufacturing System
Diversified and Scalable Service Recommendation With Accuracy Guarantee
A Data-Driven Crowd Simulation Framework Integrating Physics-Informed Machine Learning With Navigation Potential Fields
SpaTeD: Sparsity-Aware Tensor Decomposition-Based Representation Learning Framework for Phishing Scams Detection
Comparative Analysis of Feature Selection Algorithms for Computational Personality Prediction From Social Media
DNN-DP: Differential Privacy Enabled Deep Neural Network Learning Framework for Sensitive Crowdsourcing Data
Intelligent Music Intervention for Mental Disorders: Insights and Perspectives
Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models
Minimizing Misinformation Profit in Social Networks
Dynamic Brain Network Modeling Based on Nonlinear Low-Rank Manifold Regularization
Few-Sample Generation of Amount in Figures for Financial Multi-Bill Scene Based on GAN
Detecting Depression With Heterogeneous Graph Neural Network in Clinical Interview Transcript
MASK-Net: Robust Health Mention Classification by Masking a Disease or Symptom Terms
BiCapsHate: Attention to the Linguistic Context of Hate via Bidirectional Capsules and Hatebase
Video Echoed in Harmony: Learning and Sampling Video-Integrated Chord Progression Sequences for Controllable Video Background Music Generation
A Mathematical Approach to Gauging Influence by Identifying Shifts in the Emotions of Social Media Users
Invisible Stories That Drive Online Social Cognition
An Emotion Recognition Method Based on Eye Movement and Audiovisual Features in MOOC Learning Environment
FROST: Controlled Label Propagation for Multisource Detection
XeroPol: Emotion-Aware Contrastive Learning for Zero-Shot Cross-Lingual Politeness Identification in Dialogues
Toxic Fake News Detection and Classification for Combating COVID-19 Misinformation
GDN-CMCF: A Gated Disentangled Network With Cross-Modality Consensus Fusion for Multimodal Named Entity Recognition
Fake News Classification Using Tensor Decomposition and Graph Convolutional Network
An Embedded Unlabeled Data Partitioning PU-Learning Method Based on Genetic Programming
Aspect-Based Sentiment Analysis: A Survey of Deep Learning Methods
Modeling Human Temporal and Spatial Structured Contacts for Epidemic Prediction
Profile-Free and Real-Time Task Recommendation in Mobile Crowdsensing
Representation and Matching of Team Managers: An Experimental Research
Two-Stage Construction Method of Event Knowledge Graph for Emergency Disposal of Gas Accidents
LIHAN: A Lattice-Guided Incomplete Heterogeneous Information Network Embedding Model for Node Classification
Guest Editorial: Special Issue on Trends in Social Multimedia Computing: Models, Methodologies, and Applications
Goal Orientation in Music Composition and Other Social Behaviors Leading to the Common Quantitative Law
Behavioral Analysis of Insider Threat: A Survey and Bootstrapped Prediction in Imbalanced Data
Attacking the Core Structure of Complex Network
Multiattribute E-CARGO Task Assignment Model Based on Adaptive Heterogeneous Residual Networks
Formal Modeling and Analysis of User Activity Sequence in Online Social Networks: A Stochastic Petri Net-Based Approach
Quad-Faceted Feature-Based Graph Network for Domain-Agnostic Text Classification to Enhance Learning Effectiveness
Phase Transition in Group Emotion
Size Matters: A Comparative Analysis of Community Detection Algorithms
Neural Influence Estimator: Towards Real-Time Solutions to Influence Blocking Maximization
Tradeoff Between Capacity and Cost: Maximizing User Recruitment Through Collaboration in Mobile Crowdsensing
A Survey of Social Image Colocalization
Understanding Sentiment Polarities and Emotion Categories of People on Public Incidents With the Relation to Government Policies
Modeling and Analysis of Competitive Behavior in Social Systems
Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography
Discovering Latent Topics of Digital Technologies From Venture Activities Using Structural Topic Modeling
Controlling Epidemics With Information Dynamics: A Neural ODE Approach
Predicting Politeness Variations in Goal-Oriented Conversations
The Effect of Facial Perception and Academic Performance on Social Centrality
Signs of Heritage - An Agent-Based Model of the Dynamics of Heritage Categories
Explainable BERT-LSTM Stacking for Sentiment Analysis of COVID-19 Vaccination
CTL-DIFF: Control Information Diffusion in Social Network by Structure Optimization
Understanding DAOs: An Empirical Study on Governance Dynamics
The Hierarchical Clustering of Human Mobility Behaviors
Advancing Multibehavior Recommendation With Dual-Mode Augmented Contrastive Learning
On Implementing Social Community Clouds Based on Markov Models
Aberrant Reward Anticipating and Processing in Abstinent Heroin Addicts
Collaborative Meta-Path Modeling for Explainable Recommendation
Enforced Block Diagonal Graph Learning for Multikernel Clustering
Multiobjective U-Shaped Disassembly Line Balancing Problem Considering Human Fatigue Index and an Efficient Solution
An Emotion-Aware Multitask Approach to Fake News and Rumor Detection Using Transfer Learning
A Generalized Community-Structure-Aware Optimization Framework for Efficient Subgraph Matching in Social Network Analysis
Challenges in Ontology Evaluation
Data Standards Challenges for Interoperable and Quality Data
Value-Based File Retention: File Attributes as File Value and Information Waste Indicators
Design and Implementation of a Historical German Firm-level Financial Database
Transparent Aspect-Level Sentiment Analysis Based on Dependency Syntax Analysis and Its Application on COVID-19
Experience: Quality Benchmarking of Datasets Used in Software Effort Estimation
Experience: Analyzing Missing Web Page Visits and Unintentional Web Page Visits from the Client-side Web Logs
Normal accidents: Data quality problems in ERP-enabled manufacturing
Special Issue on Entity Resolution - Overview: The Criticality of Entity Resolution in Data and Information Quality
Editorial: In Search of Novel Ideas and Solutions with a Broader Context of Data Quality in Mind
Editorial for the Inaugural Issue of the ACM Journal of Data and Information Quality (JDIQ)
Student Academic Success Prediction Using Learning Management Multimedia Data With Convoluted Features and Ensemble Model
To Link or Synthesize? An Approach to Data Quality Comparison
A Challenge for Long-Term Knowledge Base Maintenance
Process-driven data quality management: A critical review on the application of process modeling languages
Combining Human and Machine Confidence in Truthfulness Assessment
A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning
Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization
Challenges in Enabling Quality of Analytics in the Cloud
Data Preparation for Duplicate Detection
Judging the Credibility of Information Gathered from Face-to-Face Interactions
Editorial: Special Issue on Improving the Veracity and Value of Big Data
On the Effects of Low-Quality Training Data on Information Extraction from Clinical Reports
Editor-in-Chief (January 2014-May 2017) Farewell Report
Validating Data Quality Actions in Scoring Processes
Overheard: Audio-based Integral Event Inference
Challenges for privacy preservation in data integration
Editorial: Special Issue on Human in the Loop Data Curation
Government Big Data Ecosystem: Definitions, Types of Data, Actors, and Roles and the Impact in Public Administrations
The BigFAIR Architecture: Enabling Big Data Analytics in FAIR-compliant Repositories
Data Quality Based Intelligent Instrument Selection with Security Integration
EXPERIENCE: Algorithms and Case Study for Explaining Repairs with Uniform Profiles over IoT Data
Editorial: Special Issue on Data quality dimensions in Data FAIRification design and processes
Introduction to the Special Issue on Reproducibility in Information Retrieval: Evaluation Campaigns, Collections, and Analyses
The Information Resilience Framework: Vulnerabilities, Capabilities, and Requirements
A Coverage-based Approach to Nondiscrimination-aware Data Transformation
Theory and Practice of Relational-to-RDF Temporal Data Exchange and Query Answering
Anatomy of Metadata for Data Curation
A novel segmentation approach for improving diagnostic accuracy of CAD systems for detecting lung cancer from chest computed tomography images
SPMDL: Software Product Metrics Definition Language
An Introduction to Dynamic Data Quality Challenges
Automated Annotations for AI Data and Model Transparency
Experience: A Comparative Analysis of Multivariate Time-Series Generative Models: A Case Study on Human Activity Data
Self-Identifying Data for Fair Use
Editorial Letter for the Special Issue on Data Quality in Databases and Information Systems
Multimodal Social Data Analytics on the Design and Implementation of an EEG-Mechatronic System Interface
Mining Expressive Rules in Knowledge Graphs
On Detecting Data Flow Errors in Workflows
Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation
Automated anomaly detection for categorical data by repurposing a form filling recommender system
Data Completeness and Complex Semantics in Conceptual Modeling: The Need for a Disaggregation Construct
Preserving Patient Privacy When Sharing Same-Disease Data
Controlling the Correctness of Aggregation Operations During Sessions of Interactive Analytic Queries
A Catalog of Consumer IoT Device Characteristics for Data Quality Estimation
Using Data Mining Techniques to Discover Bias Patterns in Missing Data
GIGO or not GIGO: The Accuracy of Multi-Criteria Satisficing Decisions
A Methodology and Architecture Embedding Quality Assessment in Data Integration
Achieving Transparency Report Privacy in Linear Time
Introduction to the Special Issue on Information Quality: The Challenges and Opportunities in Healthcare Systems and Services
Editor-in-Chief (June 2017-November 2023) Farewell Report
Deep Entity Matching: Challenges and Opportunities
Subjectivity in the Creation of Machine Learning Models
Pipeline Design for Data Preparation for Social Media Analysis
Data Quality Challenges in Distributed Live-Virtual-Constructive Test Environments
Challenges with Label Quality for Supervised Learning
Reproducible Web Corpora: Interactive Archiving with Automatic Quality Assessment
Editorial: Special Issue on Quality Assessment and Management in Big Data - Part I
Data and Analytics Challenges for a Learning Healthcare System
Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning Algorithm
The Choice of Textual Knowledge Base in Automated Claim Checking
DUTNG: Employing Dynamically Updating Traffic Network Graph for Short-term Traffic Flow Prediction
Reproduce and Improve: An Evolutionary Approach to Select a Few Good Topics for Information Retrieval Evaluation
Toward Veracity Assessment in RDF Knowledge Bases: An Exploratory Analysis
Challenge Paper: Data Quality Issues in Queue Mining
Ontological Multidimensional Data Models and Contextual Data Quality
Corrigendum to the Special Issue Editorial in JDIQ Volume 5, Issue 3
Biases in Large Language Models: Origins, Inventory, and Discussion
E-FAIR-DB: Functional Dependencies to Discover Data Bias and Enhance Data Equity
Active Learning for Data Quality Control: A Survey
AI Explainability and Acceptance: A Case Study for Underwater Mine Hunting
Unlocking AutoML: Enhancing Data with Deep Learning Algorithms for Medical Imaging
Beat the Machine: Challenging Humans to Find a Predictive Model's "Unknown Unknowns"
Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics
On Graph-Based Name Disambiguation
A Scoring System for Information Security Governance Framework Using Deep Learning Algorithms: A Case Study on the Banking Sector
Unifying Data and Constraint Repairs
Experience: Bridging Data Measurement and Ethical Challenges with Extended Data Briefs
Editorial: Special Issue on Deep Learning for Data Quality
Domain-Independent Entity Coreference for Linking Ontology Instances
Automatic Fact-Checking Using Context and Discourse Information
Experience: Open Fiscal Datasets, Common Issues, and Recommendations
Experience: Information Dimensions Affecting Employees' Perceptions Towards Being Well Informed
Ontology-based E-learning Content Recommender System for Addressing the Pure Cold-start Problem
Interaction between Record Matching and Data Repairing
Editorial: Special Issue on Metadata Discovery for Assessing Data Quality
Call for Papers Special Issue on Healthcare Information Quality: the Challenges and Opportunities in Healthcare Systems and Services
Benchmark of Bitrate Adaptation in Video Streaming
What Are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web
Experience: Quality Assessment and Improvement on a Forest Fire Dataset
Data Transparency with Blockchain and AI Ethics
Data Quality Assessment through a Preference Model
Challenge Paper: Challenges to Sharing Data and Models for Life Cycle Assessment
A Model-Based Approach for Developing Data Cleansing Solutions
A Survey on Edge Intelligence and Lightweight Machine Learning Support for Future Applications and Services
Deep Learning-based Dynamic User Alignment in Social Networks
Transactional Services for Concurrent Mobile Agents over Edge/Cloud Computing-Assisted Social Internet of Things
Editorial Notes: Classification and Assessment of Large Amounts of Data: Examples in the Healthcare Industry and Collaborative Digital Libraries
Editorial: Special Issue on Data Transparency - Data Quality, Annotation, and Provenance
Editorial for the Special Issue on Quality Assessment of Data Security
Cleaning data with Swipe
Challenges for Quality of Data in Smart Cities
A Quantitative Approach for Forensic Footwear Quality Assessment using Machine and Deep Learning
Combining Bayesian Text Classification and Shrinkage to Automate Healthcare Coding: A Data Quality Analysis
A Hybrid Approach to Answering Why-Not Questions on Relational Query Results
Unsupervised Evaluation of Entity Resolution
Experience: Learner Analytics Data Quality for an eTextbook System
A Neural Model to Jointly Predict and Explain Truthfulness of Statements
One Size Does Not Fit All - A Contingency Approach to Data Governance
A Method to Classify Data Quality for Decision Making Under Uncertainty
Detecting Risk of Biased Output with Balance Measures
Semantic interoperability in standardized electronic health record databases
What Are the Most Important Factors for Accounting Information Quality and Their Impact on AIS Data Quality Outcomes?
The Challenge of "Quick and Dirty" Information Quality
A Data-centric AI Framework for Automating Exploratory Data Analysis and Data Quality Tasks
Editorial: Special Issue on Data Quality and Ethics
Enhancing Human-in-the-Loop Ontology Curation Results through Task Design
xFAIR: A Multi-Layer Approach to Data FAIRness Assessment and Data FAIRification
Quantitative Data Valuation Methods: A Systematic Review and Taxonomy
ExpanDrogram: Dynamic Visualization of Big Data Segmentation over Time
Editorial: Special Issue on Quality Assessment and Management in Big Data - Part II
Accuracy of aggregate data in distributed project settings: Model, analysis and implications
Experience: Insights into the Benchmarking Data of Hunspell and Aspell Spell Checkers
A Graduate-Level Course on Entity Resolution and Information Quality: A Step toward ER Education
Seeing Should Probably Not Be Believing: The Role of Deceptive Support in COVID-19 Misinformation on Twitter
Towards Realistic Error Models for Tabular Data
Introduction to the Special Issue on Truth and Trust Online
Editorial: Special Issue on Software Engineering and AI for Data Quality
An Experimental Comparison of a Document Deception Detection Policy using Real and Artificial Deception
Experience: Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution
Understanding the performance of machine learning models from data- to patient-level
Improving data quality by source analysis
Search and Analytics Challenges in Digital Libraries and Archives
An Extract, Transform, Load foundation for Biobank Data Interoperability
Introduction to the Special Issue on Reproducibility in Information Retrieval: Tools and Infrastructures
Addressing Selection Bias in Event Studies with General-Purpose Social Media Panels
Knowledge-Driven Data Ecosystems Toward Data Transparency
Developing a Global Data Breach Database and the Challenges Encountered
A Hybrid Inpainting Model Combining Diffusion and Enhanced Exemplar Methods
Sustainable Quality in Data Preparation
Experience: Automated Prediction of Experimental Metadata from Scientific Publications
Overview and Framework for Data and Information Quality Research
Conflict resolution with data currency and consistency
Efficient and Practical Approach for Private Record Linkage
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling
Document and Corpus Quality Challenges for Knowledge Management in Engineering Enterprises
InfoClean: Protecting Sensitive Information in Data Cleaning
Estimating Measurement Uncertainty for Information Retrieval Effectiveness Metrics
The Challenge of Access Control Policies Quality
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News
Information Quality Research Challenge: Adapting Information Quality Principles to User-Generated Content
FAIRness of the Linguistic Linked Open Data Cloud: an Empirical Investigation
Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook
Data and Information Quality Issues in Ambient Assisted Living Systems
Documentation quality and time costs: A randomized controlled trial of structured entry versus dictation
Dual Assessment of Data Quality in Customer Databases
How to Protect of Reader Preference Privacy in Mobile Book Information Services: A Technical Method
Learning Attribute Attention and Retrospect Location for Instance Object Navigation
The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans
Generalizable Error Modeling for Human Data Annotation: Evidence From an Industry-Scale Search Data Annotation Program
Dependencies for Graphs: Challenges and Opportunities
A Methodology to Evaluate Important Dimensions of Information Quality in Systems
Fusion-based Representation Learning Model for Multimode User-generated Social Network Content
Adaptive Connection Strength Models for Relationship-Based Entity Resolution
Content-Aware Trust Propagation Toward Online Review Spam Detection
Data Challenges in Disease Response: The 2014 Ebola Outbreak and Beyond
Ensuring Data Readiness for Quality Requirements with Help from Procedure Reuse
Clustering Heterogeneous Data Values for Data Quality Analysis
The Data Repurposing Challenge: New Pressures from Data Analytics
Transforming Pairwise Duplicates to Entity Clusters for High-quality Duplicate Detection
Data Profiling in Property Graph Databases
Validating Synthetic Usage Data in Living Lab Environments
Uniqueness Constraints for Object Stores
Characterizing Disinformation Risk to Open Data in the Post-Truth Era
The Challenge of Quality Evaluation in Fraud Detection
Requirements for Data Quality Metrics
Experience: Enhancing Address Matching with Geocoding and Similarity Measure Selection
An Improved Encryption-Compression-based Algorithm for Securing Digital Images
Different Faces of False: The Spread and Curtailment of False Information in the Black Panther Twitter Discussion
Improving the Data Quality of Drug Databases using Conditional Dependencies and Ontologies
PoWareMatch: A Quality-aware Deep Learning Approach to Improve Human Schema Matching
Synthetic Generation of Multidimensional Data to Improve Classification Model Validity
Challenges in Reporting the COVID-19 Spread and its Presentation to the Society
Representing Data Quality in Sensor Data Streaming Environments
The Effects and Interactions of Data Quality and Problem Complexity on Classification
Context-aware Big Data Quality Assessment: A Scoping Review
Ensuring High-Quality Private Data for Responsible Data Science: Vision and Challenges
Cleenex: Support for User Involvement during an Iterative Data Cleaning Process
Editors' Comments: ACM Journal of Data and Information Quality (JDIQ) is alive and well!
Anomaly-based Assessment of Semantic Consistency: Design and Evaluation of a Novel Probability-based Metric in Cooperation with a German Car Manufacturer
Provenance Quality Assessment Methodology and Framework
Creating a General (Family) Practice Epidemiological Database in Ireland - Data Quality Issue Management
Scalable Methods for Measuring the Connectivity and Quality of Large Numbers of Linked Datasets
A Survey of Data Quality Requirements That Matter in ML Development Pipelines
Contextual Data Cleaning with Ontology Functional Dependencies
A Novel Curated Scholarly Graph Connecting Textual and Data Publications
To Clean or Not to Clean: Document Preprocessing and Reproducibility
Anserini: Reproducible Ranking Baselines Using Lucene
Data Validation Utilizing Expert Knowledge and Shape Constraints
The Challenge of Improving Credibility of User-Generated Content in Online Social Networks
Text2EL + : Expert Guided Event Log Enrichment Using Unstructured Text
A Principled Approach to Validation of Persistent Identifiers
Process-Data Quality: The True Frontier of Process Mining
BayesWipe: A Scalable Probabilistic Framework for Improving Data Quality
Integration of Blockchain with Connected and Autonomous Vehicles: Vision and Challenge
3D-DaVa: Enhancing 3D Point Cloud Data Reliability for Industrial Applications
Assessing the Quality of Sources in Wikidata Across Languages: A Hybrid Approach
BLAST2 : An Efficient Technique for Loose Schema Information Extraction from Heterogeneous Big Data Sources
Reproduce. Generalize. Extend. On Information Retrieval Evaluation without Relevance Judgments
Joint IoT/ML Platforms for Smart Societies and Environments: A Review on Multimodal Information-Based Learning for Safety and Security
Combining User Reputation and Provenance Analysis for Trust Assessment
Hybrid Matching Algorithm for Personal Names