yusuke1997/dblp-id-title huggingface dataset:
Location-Based Parallel Tag Completion for Geo-Tagged Social Image Retrieval
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs
CIM: Community-Based Influence Maximization in Social Networks
Deep Neighborhood Component Analysis for Visual Similarity Modeling
Let Trajectories Speak Out the Traffic Bottlenecks
Toward Ubiquitous Interaction-Attentive and Extreme-Aware Crowd Activity Level Prediction
Mobility Data-Driven Privacy-Preserving Model for Detecting High-Risk Infection Cases
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding
Adversarial Missingness Attacks on Causal Structure Learning
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning
Securely Computing a Ground Speed Model
Understanding User Preferences in Explainable Artificial Intelligence: A Mapping Function Proposal
On Incremental High Utility Sequential Pattern Mining
Sound and Music Recommendation with Knowledge Graphs
Tempo Driven Audio-to-Score Alignment Using Spectral Decomposition and Online Dynamic Time Warping
Tractable POMDP representations for intelligent tutoring systems
On Network Neutrality Measurements
VSumVis: Interactive Visual Understanding and Diagnosis of Video Summarization Model
Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach
Recognizing Multi-Agent Plans When Action Models and Team Plans Are Both Incomplete
Fast Real-Time Video Object Segmentation with a Tangled Memory Network
A Distribution Separation Method Using Irrelevance Feedback Data for Information Retrieval
Dystemo: Distant Supervision Method for Multi-Category Emotion Recognition in Tweets
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data
Ohmage: A General and Extensible End-to-End Participatory Sensing Platform
Empowering Predictive Modeling by GAN-based Causal Information Learning
Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning
Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective
Jointly Optimizing Expressional and Residual Models for 3D Facial Expression Removal
Multi-View Fusion with Extreme Learning Machine for Clustering
A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion
Gray-Box Shilling Attack: An Adversarial Learning Approach
Introduction to the special section on social recommender systems
A Scale and Rotational Invariant Key-point Detector based on Sparse Coding
Spatio-temporal Adaptive Pricing for Balancing Mobility-on-Demand Networks
Telco User Activity Level Prediction with Massive Mobile Broadband Data
Generative AI in Fashion: Overview
Active learning in multimedia annotation and retrieval: A survey
On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance
A Novel Classification Framework for Evaluating Individual and Aggregate Diversity in Top-N Recommendations
Quantized Adam with Error Feedback
MoveMine: Mining moving object data for discovery of animal movement patterns
MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games
Exploring pattern-aware travel routes for trajectory search
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach
Significant DBSCAN+: Statistically Robust Density-based Clustering
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services
Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach
Metric Learning for Estimating Psychological Similarities
One-step Multi-view Clustering with Consensus Graph and Data Representation Convolution
A Unified Geolocation Framework for Web Videos
TerraFly GeoCloud: An Online Spatial Data Analysis and Visualization System
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks
Linking Multiple User Identities of Multiple Services from Massive Mobility Traces
Perspectives in semantic adaptive social web
An empirical comparison of social, collaborative filtering, and hybrid recommenders
GTAE: Graph Transformer-Based Auto-Encoders for Linguistic-Constrained Text Style Transfer
Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling
Trajectory Data Mining: An Overview
Pervasive social context: Taxonomy and survey
The Role of Cores in Recommender Benchmarking for Social Bookmarking Systems
Understanding Event Organization at Scale in Event-Based Social Networks
Understanding, Manipulating and Searching Hand-Drawn Concept Maps
MGRL4RE: A Multi-Graph Representation Learning Approach for Urban Region Embedding
Spatiotemporal correlations in criminal offense records
Introduction to the special section on intelligent systems for health informatics
TPM: A Temporal Personalized Model for Spatial Item Recommendation
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment
Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs
TLDS: A Transfer-Learning-Based Delivery Station Location Selection Pipeline
Querying Recurrent Convoys over Trajectory Data
Joint Structural-Functional Brain Graph Transformer
Discovering Underlying Plans Based on Shallow Models
Trembr: Exploring Road Networks for Trajectory Representation Learning
A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks
Artificial Intelligence-Inspired Anxiety Detection in Smart Office: Cyber Twin Perspective
Hierarchical Pruning of Deep Ensembles with Focal Diversity
Audio classification with low-rank matrix representation features
Introduction to the Special Issue on Online Advertising
Visual Classification of Furniture Styles
Exploring Indoor White Spaces in Metropolises
A Survey of Unsupervised Deep Domain Adaptation
Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning
Counterfactual Explainer for Deep Reinforcement Learning Models using Policy Distillation
A helpfulness modeling framework for electronic word-of-mouth on consumer opinion platforms
Structure and Overlaps of Ground-Truth Communities in Networks
Optimizing Reachability in Graph-Based Recommender Systems
Efficient Federated Matrix Factorization Against Inference Attacks
Crowdsourcing Human Annotation on Web Page Structure: Infrastructure Design and Behavior-Based Quality Control
Concept and Attention-Based CNN for Question Retrieval in Multi-View Learning
BOXREC: Recommending a Box of Preferred Outfits in Online Shopping
Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach
GPSClean: A Framework for Cleaning and Repairing GPS Data
AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data
Learning Probabilistic Hierarchical Task Networks as Probabilistic Context-Free Grammars to Capture User Preferences
Web Page Summarization for Just-in-Time Contextual Advertising
Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection
BayesPiles: Visualisation Support for Bayesian Network Structure Learning
Explainable Product Classification for Customs
Community Detection with Topological Structure and Attributes in Information Networks
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning
PRISM: Profession Identification in Social Media
ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation
Probabilistic models for concurrent chatting activity recognition
Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items
Improved Approaches with Calibrated Neighboring Joint Density to Steganalysis and Seam-Carved Forgery Detection in JPEG Images
Introduction to the Special Section on Artificial Intelligence in Space
Improving the Summarization Effectiveness of Abstractive Datasets through Contrastive Learning
Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion
GPT-4V(ision) as A Social Media Analysis Engine
Location-Centered House Price Prediction: A Multi-Task Learning Approach
"Intelligent Heuristics Are the Future of Computing"
BISTRO: Berkeley Integrated System for Transportation Optimization
Introduction to special issue on large-scale machine learning
Video Face Editing Using Temporal-Spatial-Smooth Warping
Resources Sequencing Using Automatic Prerequisite-Outcome Annotation
Ensuring Pre-Fusion Modality Consistency: A New Approach to Multimodal Sentiment Detection
Federated Machine Learning: Concept and Applications
PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning
Conditional Text Generation for Harmonious Human-Machine Interaction
How Do Large Language Models Understand Genes and Cells
A Camera Identity-guided Distribution Consistency Method for Unsupervised Multi-target Domain Person Re-identification
Learning k for kNN Classification
Daehr : A Discriminant Analysis Framework for Electronic Health Record Data and an Application to Early Detection of Mental Health Disorders
Anytime Algorithms for Recommendation Service Providers
DAS: Efficient Street View Image Sampling for Urban Prediction
BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning
Generating virtual ratings from chinese reviews to augment online recommendations
Attentive Excitation and Aggregation for Bilingual Referring Image Segmentation
Norms as a basis for governing sociotechnical systems
A Review on Source Code Documentation
Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors
GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning
Learning to Associate: Multimodal Inference with Fully Missing Modalities
Traveling Transporter Problem: Arranging a New Circular Route in a Public Transportation System Based on Heterogeneous Non-Monotonic Urban Data
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device
Automated Generation of Counterterrorism Policies Using Multiexpert Input
Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey
Trustworthy AI: A Computational Perspective
A parts-based approach for automatic 3D shape categorization using belief functions
Transfer Learning with Dynamic Distribution Adaptation
Inferring Real Mobility in Presence of Fake Check-ins Data
Personalized Recommendations of Locally Interesting Venues to Tourists via Cross-Region Community Matching
Adaptive Intention Learning for Session-Based Recommendation
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation
Introduction to the Special Section on Urban Computing
On Learning Prediction Models for Tourists Paths
PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems
Meaning-Sensitive Text Data Augmentation with Intelligent Masking
Collection-based sparse label propagation and its application on social group suggestion from photos
Automatic player labeling, tracking and field registration and trajectory mapping in broadcast soccer video
City-Scale Social Event Detection and Evaluation with Taxi Traces
Physics-Based Abnormal Trajectory Gap Detection
Connecting people through physical proximity and physical resources at a conference
Advanced Economic Control of Electricity-Based Space Heating Systems in Domestic Coalitions with Shared Intermittent Energy Resources
DNSRF: Deep Network-based Semi-NMF Representation Framework
Two Can Play That Game: An Adversarial Evaluation of a Cyber-Alert Inspection System
Cross-Lingual Adaptation Using Structural Correspondence Learning
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction
Modeling the Thermal Dynamics of Buildings: A Latent-Force- Model-Based Approach
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection
Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation
Random-Forest-Inspired Neural Networks
Knowledge Enhancement and Temporal Aware for Multi-Behavior Contrastive Recommendation
Generating Incremental Length Summary Based on Hierarchical Topic Coverage Maximization
Learning to Infer the Status of Heavy-Duty Sensors for Energy-Efficient Context-Sensing
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach
Interactive Visual Graph Mining and Learning
Deconfounded Cross-modal Matching for Content-based Micro-video Background Music Recommendation
A Causal Approach to the Study of TCP Performance
Learning Contextualized Music Semantics from Tags Via a Siamese Neural Network
Representation Learning of Enhanced Graphs Using Random Walk Graph Convolutional Network
An Adaptive Agent for Negotiating with People in Different Cultures
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics
Where2Stand: A Human Position Recommendation System for Souvenir Photography
Efficient Generalized Fused Lasso and Its Applications
Stopping Criterion for Active Learning with Model Stability
Collaborative Local-Global Learning for Temporal Action Proposal
Dual Graph Convolution Architecture Search for Travel Time Estimation
A content-driven framework for geolocating microblog users
Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values
Getting Closer to the Essence of Music: The Con Espressione Manifesto
Dynamic Weights and Prior Reward in Policy Fusion for Compound Agent Learning
Intermediary-Generated Bridge Network for RGB-D Cross-Modal Re-Identification
A Framework for Effectively Choosing between Alternative Candidate Partners
A Generic Approach for Systematic Analysis of Sports Videos
Temporal data mining approaches for sustainable chiller management in data centers
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability
Instant Basketball Defensive Trajectory Generation
Identifying Authorities in Online Communities
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard
Advertising Keywords Recommendation for Short-Text Web Pages Using Wikipedia
Fairness and Diversity in Recommender Systems: A Survey
A Bayesian Approach to Intervention-Based Clustering
Using Health-Consumer-Contributed Data to Detect Adverse Drug Reactions by Association Mining with Temporal Analysis
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning
FolderPredictor: Reducing the cost of reaching the right folder
Entity-Relationship Queries over Wikipedia
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2
PLDA+: Parallel latent dirichlet allocation with data placement and pipeline processing
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes
A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction
Towards Music Structural Segmentation across Genres: Features, Structural Hypotheses, and Annotation Principles
Object-Oriented Travel Package Recommendation
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing
Introduction to special issue on computational sustainability
A Game-Theory Approach for Effective Crowdsource-Based Relevance Assessment
dhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream
Flatter Is Better: Percentile Transformations for Recommender Systems
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices
Personalized Fashion Recommendations for Diverse Body Shapes with Contrastive Multimodal Cross-Attention Network
Robust Recommender Systems with Rating Flip Noise
From Electromyogram to Password: Exploring the Privacy Impact of Wearables in Augmented Reality
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1
Multitask Balanced and Recalibrated Network for Medical Code Prediction
Predicting the Occurrence of Respiratory Diseases Based on Campus Indoor Air Quality
A semantic framework for intelligent matchmaking for clinical trial eligibility criteria
Trading Off Privacy, Utility, and Efficiency in Federated Learning
Ad-Hoc Monitoring of COVID-19 Global Research Trends for Well-Informed Policy Making
Fusing Multiple Features for Depth-Based Action Recognition
Folksonomy-Based Term Extraction for Word Cloud Generation
Generating targeted paraphrases for improved translation
A Traffic Flow Approach to Early Detection of Gathering Events: Comprehensive Results
Algorithms for Trajectory Points Clustering in Location-based Social Networks
Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution?
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
Geosocial Co-Clustering: A Novel Framework for Geosocial Community Detection
Generative Adversarial Networks for Spatio-temporal Data: A Survey
Multimedia News Summarization in Search
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users
Evolution of state-dependent risk preferences
Deep Learning Thermal Image Translation for Night Vision Perception
Evolutionary Strategy to Perform Batch-Mode Active Learning on Multi-Label Data
Bridging the Air Gap between Isolated Networks and Mobile Phones in a Practical Cyber-Attack
Movie recommendation in context
Multifeature Anisotropic Orthogonal Gaussian Process for Automatic Age Estimation
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization
Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review
Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph
Transfer Learning across Feature-Rich Heterogeneous Feature Spaces via Feature-Space Remapping (FSR)
Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations
A Joyful Ode to Automatic Orchestration
Nonnegative Matrix Factorization with Integrated Graph and Feature Learning
Introduction to the Special Section on Search and Mining User-Generated Content
ACM TIST Special Issue on Data-Driven Intelligence for Wireless Networking
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval
Validation of an ontological medical decision support system for patient treatment using a repository of patient data: Insights into the value of machine learning
FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers' Emotion Recognition
Nowcasting Events from the Social Web with Statistical Learning
Mining Recurring Concept Drifts with Limited Labeled Streaming Data
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder
DILSA+: Predicting Urban Dispersal Events through Deep Survival Analysis with Enhanced Urban Features
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
Introduction to the Special Section on Intelligent Visual Interfaces for Text Analysis
Introduction to special section on paraphrasing
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management
Model-Free Deep Reinforcement Learning for Adaptive Supply Temperature Control in Collective Space Heating Systems
Multimodal Large Language Model with LoRA Fine-Tuning for Multimodal Sentiment Analysis
A Reliable People Counting System via Multiple Cameras
Quantifying Levels of Influence and Causal Responsibility in Dynamic Decision Making Events
Neural Methods for Data-to-text Generation
Intelligent Interface for Textual Attitude Analysis
Peacock: Learning Long-Tail Topic Features for Industrial Applications
Is Rank Aggregation Effective in Recommender Systems? An Experimental Analysis
A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids
A Theoretical Revisit to Linear Convergence for Saddle Point Problems
LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information
Algorithms for Graph-Constrained Coalition Formation in the Real World
A constraint-based approach to scheduling an individual's activities
Introduction to Intelligent Music Systems and Applications
Introduction to the special issue on intelligent systems for activity recognition
Monitoring global forest cover using data mining
Few Images, Many Insights : Illicit Content Detection Using a Limited Number of Images
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data
XLearn : Learning Activity Labels across Heterogeneous Datasets
Incentives for Effort in Crowdsourcing Using the Peer Truth Serum
Structured coalitions in resource selection games
Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification
Local Structure-Based Sparse Representation for Face Recognition
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes
A conformant planner based on approximation: CpA(H)
Applying planning to interactive storytelling: Narrative control using state constraints
Temporal Implicit Multimodal Networks for Investment and Risk Management
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting
Learning User Attributes via Mobile Social Multimedia Analytics
Goal and Plan Recognition Design for Plan Libraries
Homogeneity in Web Search Results: Diagnosis and Mitigation
Deep Causal Reasoning for Recommendations
Simplifying Data Disclosure Configurations in a Cloud Computing Environment
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop
Human-computer Coalition Formation in Weighted Voting Games
STExplorer: A Hierarchical Autonomous Exploration Strategy with Spatio-temporal Awareness for Aerial Robots
Opinion formation under costly expression
TensorBeat: Tensor Decomposition for Monitoring Multiperson Breathing Beats with Commodity WiFi
Ensembles of Restricted Hoeffding Trees
COM: A method for mining and monitoring human activity patterns in home-based health monitoring systems
Secure Deduplication System with Active Key Update and Its Application in IoT
Introduction to the "Best Papers of WSDM 2023" Special Issue
Feature-Based Visual Sentiment Analysis of Text Document Streams
Surface Sulfur Detection via Remote Sensing and Onboard Classification
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction
Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement
FedBERT: When Federated Learning Meets Pre-training
Privacy-aware Tag Recommendation for Accurate Image Privacy Prediction
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems