yusuke1997/dblp-id-title huggingface dataset:
Conveying Semantics through Visual Metaphor
Special Issue on Responsible Recommender Systems Part 1
Cost-Optimized Microblog Distribution over Geo-Distributed Data Centers: Insights from Cross-Media Analysis
A Review of Co-Saliency Detection Algorithms: Fundamentals, Applications, and Challenges
Spatio-temporal Graph Learning for Epidemic Prediction
User Opinion-Focused Abstractive Summarization Using Explainable Artificial Intelligence
Hazy Image Restoration by Bi-Histogram Modification
Understanding the Long-Term Evolution of Electric Taxi Networks: A Longitudinal Measurement Study on Mobility and Charging Patterns
Libby-Novick Beta-Liouville Distribution for Enhanced Anomaly Detection in Proportional Data
Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning
GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task
Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories
Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review
Learning to recommend with explicit and implicit social relations
PARP: A Parallel Traffic Condition Driven Route Planning Model on Dynamic Road Networks
Identifying Controversial Wikipedia Articles Using Editor Collaboration Networks
Detecting Misinformation on Social Media using Community Insights and Contrastive Learning
Mining Mobile User Preferences for Personalized Context-Aware Recommendation
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings
Lightweight Convolution Neural Networks for Mobile Edge Computing in Transportation Cyber Physical Systems
A Multi-Hop Graph Reasoning Network for Knowledge-Based VQA
PEAS: A Strategy for Crafting Transferable Adversarial Examples
INN: An Interpretable Neural Network for AI Incubation in Manufacturing
Quick Bootstrapping of a Personalized Gaze Model from Real-Use Interactions
Multiagent Resource Allocation for Dynamic Task Arrivals with Preemption
Planning for human-robot teaming in open worlds
A Federated Social Recommendation Approach with Enhanced Hypergraph Neural Network
A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
Analyzing and Optimizing Access Control Choice Architectures in Online Social Networks
A Survey of Machine Unlearning
Introduction to the ACM TIST Special Issue on Intelligent Healthcare Informatics
Adversarial Learning for Cross Domain Recommendations
ResumeVis: A Visual Analytics System to Discover Semantic Information in Semi-structured Resume Data
X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees
Mobility Inference on Long-Tailed Sparse Trajectory
CoFi-points: Collaborative Filtering via Pointwise Preference Learning on User/Item-Set
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning
An Underwater Imaging Generative Adversarial Network by Simulating the Mechanism of Light Propagation in Water
Fair Seeding in Knockout Tournaments
Multi-Modal Curriculum Learning over Graphs
FastRx: Exploring Fastformer and Memory-Augmented Graph Neural Networks for Personalized Medication Recommendations
CNNs Based Viewpoint Estimation for Volume Visualization
Social media as crisis platform: The future of community maps/crisis maps
A Traffic Density Estimation Model Based on Crowdsourcing Privacy Protection
An approach to social recommendation for context-aware mobile services
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
Fast and Accurate Evacuation Planning Algorithm with Bayesian Optimization
From manifesta to krypta: The relevance of categories for trusting others
Personalized emerging topic detection based on a term aging model
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction
Web Table Extraction, Retrieval, and Augmentation: A Survey
Perceiving Actions via Temporal Video Frame Pairs
Discovering Causes of Traffic Congestion via Deep Transfer Clustering
Random walks down the mention graphs for event coreference resolution
CapVis: Toward Better Understanding of Visual-Verbal Saliency Consistency
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design
Incremental Data Drifting: Evaluation Metrics, Data Generation, and Approach Comparison
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models
Transfer Metric Learning with Semi-Supervised Extension
Measuring Conditional Independence by Independent Residuals for Causal Discovery
Video Human Motion Recognition Using a Knowledge-Based Hybrid Method Based on a Hidden Markov Model
Integrate and Conquer: Double-Sided Two-Dimensional k -Means Via Integrating of Projection and Manifold Construction
Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation System
A Novel Multi-task Tensor Correlation Neural Network for Facial Attribute Prediction
Tracking Illicit Drug Dealing and Abuse on Instagram Using Multimodal Analysis
Accessible image search for colorblindness
Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification
IT-RUDA: Information Theory-Assisted Robust Unsupervised Domain Adaptation
Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets
Local Graph Edge Partitioning
Research directions in agent communication
Robust Spammer Detection in Microblogs: Leveraging User Carefulness
Unified Generative Adversarial Networks for Multiple-Choice Oriented Machine Comprehension
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection
Information Retrieval in the Commentsphere
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
Improving recency ranking using twitter data
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data
Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification
A Case Study of Collaboration and Reputation in Social Web Search
Augmented Collaborative Filtering for Sparseness Reduction in Personalized POI Recommendation
Modality-Dependent Cross-Media Retrieval
Monitoring business constraints with the event calculus
DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT
Towards AI-Assisted Inclusive Language Writing in Italian Formal Communications
TreeSketchNet: From Sketch to 3D Tree Parameters Generation
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain
Edge-enabled Disaster Rescue: A Case Study of Searching for Missing People
Ranking User Influence in Healthcare Social Media
STCAPLRS: A Spatial-Temporal Context-Aware Personalized Location Recommendation System
Introduction to the Special Issue on Evaluations of Large Language Models: Part 1
Few-Shot Text and Image Classification via Analogical Transfer Learning
Recognizing Parkinsonian Gait Pattern by Exploiting Fine-Grained Movement Function Features
Teacher-Student Framework for Polyphonic Semi-supervised Sound Event Detection: Survey and Empirical Analysis
RelationLines: Visual Reasoning of Egocentric Relations from Heterogeneous Urban Data
Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding
A Risk-Scoring Feedback Model for Webpages and Web Users Based on Browsing Behavior
Computationally efficient link prediction in a variety of social networks
A temporal pattern mining approach for classifying electronic health record data
Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering
An Attentive Survey of Attention Models
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents
Building and using social structures: A case study using the agent ART testbed
Location Prediction: A Temporal-Spatial Bayesian Model
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution
Predicting Attributes of Nodes Using Network Structure
Improving recommendation accuracy based on item-specific tag preferences
Kinect Depth Recovery Using a Color-Guided, Region-Adaptive, and Depth-Selective Framework
Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling
Fuzzy Cognitive Diagnosis for Modelling Examinee Performance
A Gated Graph Neural Network Approach to Fast-Convergent Dynamic Average Estimation
Strengthening Cooperative Consensus in Multi-Robot Confrontation
MVGAN: Multi-View Graph Attention Network for Social Event Detection
Location- and Query-Aware Modeling of Browsing and Click Behavior in Sponsored Search
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
Mining the "Voice of the Customer" for Business Prioritization
Metastrategies in Large-Scale Bargaining Settings
Ranking the Transferability of Adversarial Examples
PTIME: Personalized assistance for calendaring
Prediction in financial markets: The case for small disjuncts
Research commentary: Intelligent systems and technology for integrative and predictive medicine: An ACP approach
Performing Cancer Diagnosis via an Isoform Expression Ranking-based LSTM Model
End-to-End Text-to-Image Synthesis with Spatial Constrains
Intelligent Evacuation Management Systems: A Review
Customer Volume Prediction Using Fusion of Shared-private Dynamic Weighting over Multiple Modalities
Analyzing Trajectory Gaps to Find Possible Rendezvous Region
Shifting Capsule Networks from the Cloud to the Deep Edge
An Uncertainty-based Neural Network for Explainable Trajectory Segmentation
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning
Multi-Label Classification Based on Multi-Objective Optimization
Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems
Introduction to the special section on twitter and microblogging services
A Joint Entity and Relation Extraction Model based on Efficient Sampling and Explicit Interaction
Machine Recognition of Music Emotion: A Review
On Optimizing Airline Ticket Purchase Timing
Cross-Domain HAR: Few-Shot Transfer Learning for Human Activity Recognition
D-Map+: Interactive Visual Analysis and Exploration of Ego-centric and Event-centric Information Diffusion Patterns in Social Media
Fairness in Recommendation: Foundations, Methods, and Applications
Multiple Elimination of Base Classifiers in Ensemble Learning Using Accuracy and Diversity Comparisons
Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content
VSRank: A Novel Framework for Ranking-Based Collaborative Filtering
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot
A Framework for Dataset Benchmarking and Its Application to a New Movie Rating Dataset
CITY FEED: A Pilot System of Citizen-Sourcing for City Issue Management
UrbanKG: An Urban Knowledge Graph System
Social Science-guided Feature Engineering: A Novel Approach to Signed Link Analysis
Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information
Accurate and Robust Moving-Object Segmentation for Telepresence Systems
Nonnegative Multiresolution Representation-Based Texture Image Classification
Markov models of social dynamics: Theory and applications
Introduction to Special Issue on Social Media Processing ( TIST - SMP )
Multimodular Text Normalization of Dutch User-Generated Content
Dealing with uncertainty: Robust workflow navigation in the healthcare domain
Deep Reinforcement Learning for Vehicular Edge Computing: An Intelligent Offloading System
ATE-FS: An Average Treatment Effect-Based Feature Selection Technique for Software Fault Prediction
Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey
Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels
Virtual Metering: An Efficient Water Disaggregation Algorithm via Nonintrusive Load Monitoring
Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning
MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification
Discovering routines from large-scale human locations using probabilistic topic models
Mining Check-In History for Personalized Location Naming
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion
Multi-aspect Understanding with Cooperative Graph Attention Networks for Medical Dialogue Information Extraction
Explicit State Representation Guided Video-based Pedestrian Attribute Recognition
Measuring Similarity Similarly: LDA and Human Perception
Amalgamating Knowledge for Object Detection in Rainy Weather Conditions
Image annotation by k NN-sparse graph-based label propagation over noisily tagged web images
Social Bridges in Urban Purchase Behavior
A Novel Continuous and Structural VAR Modeling Approach and Its Application to Reactor Noise Analysis
Analyzing and Detecting Collusive Users Involved in Blackmarket Retweeting Activities
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection
Using Crowdsourcing for Scientific Analysis of Industrial Tomographic Images
SignDS-FL: Local Differentially Private Federated Learning with Sign-based Dimension Selection
A Discriminative Convolutional Neural Network with Context-aware Attention
Temporal Hierarchical Graph Attention Network for Traffic Prediction
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions
Demand-driven Urban Facility Visit Prediction
Proposal Semantic Relationship Graph Network for Temporal Action Detection
A System for Automated Industrial Test Laboratory Scheduling
PPLib: Toward the Automated Generation of Crowd Computing Programs Using Process Recombination and Auto-Experimentation
Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models versus Fine-Tuned Vision Transformers in Image-Based Security Applications
Ontology-Based Driving Simulation for Traffic Lights Optimization
Introduction to the special section on agent communication
Strategic Attack & Defense in Security Diffusion Games
A Trustworthy and Responsible Decision-Making Framework for Resource Management in Food-Energy-Water Nexus: A Control-Theoretical Approach
Event Classification in Microblogs via Social Tracking
Exploring Communication Behaviors of Users to Target Potential Users in Mobile Social Networks
A framework of traveling companion discovery on trajectory data streams
S-SMART: A Unified Bayesian Framework for Simultaneous Semantic Mapping, Activity Recognition, and Tracking
Fine-grained Courier Delivery Behavior Recovery with a Digital Twin Based Iterative Calibration Framework
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance
Bounds on Direct and Indirect Effects of Treatment on a Continuous Endpoint
NEAR: Neighborhood Edge AggregatoR for Graph Classification
Bootstrapping a Game with a Purpose for Commonsense Collection
Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach
Reinforcement Learning for Adaptive Video Compressive Sensing
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks
A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring
Exploring Correlation Network for Cheating Detection
Multiple-Instance Learning from Pairwise Comparison Bags
Predicting Next Useful Location with Context-Awareness: The State-of-the-Art
Self-supervised Discriminative Representation Learning by Fuzzy Autoencoder
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models
Sharp Bounds on Survivor Average Causal Effects When the Outcome Is Binary and Truncated by Death
Efficient Tag Recommendation for Real-Life Data
Snap & Play: Auto-Generated Personalized Find-the-Difference Game
Urban Computing in the Era of Large Language Models
Driving Profiles Computation and Monitoring for Car Insurance CRM
Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques
Social temporal collaborative ranking for context aware movie recommendation
Hire : Hybrid-Modal Interaction with Multiple Relational Enhancements for Image-Text Matching
Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving
The Effect of Pets on Happiness: A Large-Scale Multi-Factor Analysis Using Social Multimedia
Web media semantic concept retrieval via tag removal and model fusion
SocialWave: Visual Analysis of Spatio-temporal Diffusion of Information on Social Media
Attention-guided Adversarial Attack for Video Object Segmentation
Reinforced Explainable Knowledge Concept Recommendation in MOOCs
A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs
P2P Lending Survey: Platforms, Recent Advances and Prospects
LocateMe: Magnetic-fields-based indoor localization using smartphones
A SAT-based approach to cost-sensitive temporally expressive planning
EEMC: Enabling Energy-Efficient Mobile Crowdsensing with Anonymous Participants
Smart Colonography for Distributed Medical Databases with Group Kernel Feature Analysis
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks
MetaStore: A Task-adaptative Meta-learning Model for Optimal Store Placement with Multi-city Knowledge Transfer
Urban Computing: Concepts, Methodologies, and Applications
Dynamic Landmarking for Surface Feature Identification and Change Detection
Local Self-attention-based Hybrid Multiple Instance Learning for Partial Spoof Speech Detection
ALERA: Accelerated Reinforcement Learning Driven Adaptation to Electro-Mechanical Degradation in Nonlinear Control Systems Using Encoded State Space Error Signatures
A Trust Computing-based Security Routing Scheme for Cyber Physical Systems
An Event-Driven QoI-Aware Participatory Sensing Framework with Energy and Budget Constraints
Risk-Sensitive Stochastic Orienteering Problems for Trip Optimization in Urban Environments
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection
Empowering Patients and Caregivers to Manage Healthcare Via Streamlined Presentation of Web Objects Selected by Modeling Learning Benefits Obtained by Similar Peers
AutoLCA: A Framework for Sustainable Redesign and Assessment of Products
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction
Secure IoT-Based, Incentive-Aware Emergency Personnel Dispatching Scheme with Weighted Fine-Grained Access Control
A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time
Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining
Simple and Scalable Response Prediction for Display Advertising
Gaussian Processes for Independence Tests with Non-iid Data in Causal Inference
Detecting Communities of Authority and Analyzing Their Influence in Dynamic Social Networks
Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers
Joint Structured Sparsity Regularized Multiview Dimension Reduction for Video-Based Facial Expression Recognition
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes
A Comfort-Based Approach to Smart Heating and Air Conditioning
Local Learning Approaches for Finding Effects of a Specified Cause and Their Causal Paths
Federated Learning for Healthcare: Systematic Review and Architecture Proposal
Visual Abstraction and Ordering in Faceted Browsing of Text Collections
Federated Learning for Personalized Humor Recognition
A Survey of AIOps Methods for Failure Management
Explaining Neural News Recommendation with Attributions onto Reading Histories
A Comprehensive Approach to On-board Autonomy Verification and Validation
Multi-Task Learning for Entity Recommendation and Document Ranking in Web Search
A Local Mean Representation-based K -Nearest Neighbor Classifier
i 2 tag: RFID Mobility and Activity Identification Through Intelligent Profiling
Dynamic Optimization of the Level of Operational Effectiveness of a CSOC Under Adverse Conditions
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation
Forecasting with twitter data
Impact of Driving Behavior on Commuter's Comfort During Cab Rides: Towards a New Perspective of Driver Rating
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation
Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization
Early prediction of the highest workload in incremental cardiopulmonary tests
Introduction to the special section on social computing, behavioral-cultural modeling, and prediction
Conceptual Imitation Learning in a Human-Robot Interaction Paradigm
Clustering-based Active Learning Classification towards Data Stream
Contextual Anomaly Detection in Solder Paste Inspection with Multi-Task Learning
Fine-Grained Semantic Image Synthesis with Object-Attention Generative Adversarial Network
Semantic trajectories: Mobility data computation and annotation
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning
Obfuscating the Dataset: Impacts and Applications
Origin-Aware Location Prediction Based on Historical Vehicle Trajectories
High-Precision Camera Localization in Scenes with Repetitive Patterns
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks
Intelligent Process Adaptation in the SmartPM System
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer
Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib' System of Paris
Extracting Political Interest Model from Interaction Data Based on Novel Word-level Bias Assignment
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation
Single Image Snow Removal Using Sparse Representation and Particle Swarm Optimizer
TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis
Learning Facial Expressions with 3D Mesh Convolutional Neural Network
Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach
Skin Lesion Intelligent Diagnosis in Edge Computing Networks: An FCL Approach
CLC: A Consensus-based Label Correction Approach in Federated Learning
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges
ACM TIST Special Issue on Visual Analytics
Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs
Community detection and visualization in social networks: Integrating structural and semantic information
Vector-Quantization-Based Topic Modeling
Contrastive Learning Models for Sentence Representations
Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network
Interpretable Imitation Learning with Symbolic Rewards
Introduction to the special issue on social web mining
Causal Feature Selection in the Presence of Sample Selection Bias