yusuke1997/dblp-id-title huggingface dataset:
Copula-Based Anomaly Scoring and Localization for Large-Scale, High-Dimensional Continuous Data
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining
Multifocal learning for customer problem analysis
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization
Robust Multiview Feature Learning for RGB-D Image Understanding
Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population
Describing UI Screenshots in Natural Language
Pattern Matching Techniques for Replacing Missing Sections of Audio Streamed across Wireless Networks
Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity
M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems
When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation
Integrated Hybrid Transformer and Multi-Receptive Feature Extraction Mechanism for Electrocardiogram Denoising Using Score-Based Diffusion Model
Large Sparse Cone Non-negative Matrix Factorization for Image Annotation
Score-based Graph Learning for Urban Flow Prediction
Crowdsourcing Empathetic Intelligence: The Case of the Annotation of EMMA Database for Emotion and Mood Recognition
Inferring Online Social Ties from Offline Geographical Activities
Using the Crowd to Improve Search Result Ranking and the Search Experience
Using Online Geotagged and Crowdsourced Data to Understand Human Offline Behavior in the City: An Economic Perspective
illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems
Stereotypical trust and bias in dynamic multiagent systems
Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning
Human Pose Transfer with Augmented Disentangled Feature Consistency
Context-Aware Semi-Local Feature Detector
Self-Optimizing Teacher and Auto-Matching Student Framework for Change-Point Representation Learning in Time Series Forecasting
An Unsupervised Approach to Inferring the Localness of People Using Incomplete Geotemporal Online Check-In Data
Detecting Social Media Hidden Communities Using Dynamic Stochastic Blockmodel with Temporal Dirichlet Process
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges
Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting
From RGB-D Images to RGB Images: Single Labeling for Mining Visual Models
Multitask Low-Rank Affinity Graph for Image Segmentation and Image Annotation
CORN: Correlation-driven nonparametric learning approach for portfolio selection
Using Scalable Data Mining for Predicting Flight Delays
Automatic Construction of Statechart-Based Anomaly Detection Models for Multi-Threaded Industrial Control Systems
Cognitive Decision Modeling for Quality of Service in Domestic Pipeline Network
Multiobjective Pareto-Efficient Approaches for Recommender Systems
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks
Analysis of friendship network and its role in explaining obesity
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories
Introduction to special issue on machine learning for business applications
Introduction to the Special Section on the 2nd Asia Conference on Machine Learning (ACML 2010)
Introduction to the special section on intelligent tutoring and coaching systems
Group Profiling for Understanding Social Structures
On the Relationship between Novelty and Popularity of User-Generated Content
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks
Optimization-based influencing of village social networks in a counterinsurgency
Relational term-suggestion graphs incorporating multipartite concept and expertise networks
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems
Two-Level Optimization to Reduce Waiting Time at Locks in Inland Waterway Transportation
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction
Introduction to the Special Section on Intelligent Multimedia Systems and Technology Part II
Prediction and Simulation of Human Mobility Following Natural Disasters
Counterfactual Graph Convolutional Learning for Personalized Recommendation
Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus
Adaptive Target-Oriented Tracking
Shapelet-transformed Multi-channel EEG Channel Selection
Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management
Fairness-Driven Private Collaborative Machine Learning
RECYCLE: Learning looping workflows from annotated traces
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining
Virtual worlds as cultural models
STARS: Defending against Sockpuppet-Based Targeted Attacks on Reviewing Systems
CAFE and SOUP: Toward Adaptive VDI Workload Prediction
Finding Semantically Valid and Relevant Topics by Association-Based Topic Selection Model
Cluster-Based Collaborative Filtering for Sign Prediction in Social Networks with Positive and Negative Links
CSM: A Cloud Service Marketplace for Complex Service Acquisition
Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey
Crowdsourcing Without a Crowd: Reliable Online Species Identification Using Bayesian Models to Minimize Crowd Size
PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification
On Discovery of Spatiotemporal Influence-Based Moving Clusters
Constitutive and regulative specifications of commitment protocols: A decoupled approach
Argument Schemes and a Dialogue System for Explainable Planning
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend
Introduction to the Special Issue on Recommender System Benchmarking
A fully online and unsupervised system for large and high-density area surveillance: Tracking, semantic scene learning and abnormality detection
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns
Significant Correlation Pattern Mining in Smart Homes
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems
Understand Dynamic Regret with Switching Cost for Online Decision Making
Accurate and Novel Recommendations: An Algorithm Based on Popularity Forecasting
Distance metric learning from uncertain side information for automated photo tagging
Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach
Infer User Interests via Link Structure Regularization
Help Me Screen: Analyzing and Predicting the Success of Start-ups in Dynamic Venture Capital Networks
Visual Interfaces for Recommendation Systems: Finding Similar and Dissimilar Peers
Predicting Academic Performance for College Students: A Campus Behavior Perspective
Refined-Graph Regularization-Based Nonnegative Matrix Factorization
Robust Location Prediction over Sparse Spatiotemporal Trajectory Data: Flashback to the Right Moment!
Source-free Unsupervised Domain Adaptation with Trusted Pseudo Samples
Combining Sketching and Traditional Diagram Editing Tools
A Real-Time Framework for Task Assignment in Hyperlocal Spatial Crowdsourcing
A Multi-Label Multi-View Learning Framework for In-App Service Usage Analysis
CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency
Using Digital Footprints for a City-Scale Traffic Simulation
Implicit Visual Learning: Image Recognition via Dissipative Learning Model
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features
DClusterE: A Framework for Evaluating and Understanding Document Clustering Using Visualization
An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning-Based Recommendation Systems
Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses
TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling
Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments
Fair Projections as a Means toward Balanced Recommendations
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction
Who is Doing What and When: Social Map-Based Recommendation for Content-Centric Social Web Sites
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows
A Game-theoretic Framework for Privacy-preserving Federated Learning
Large-Scale Tensorized Multi-View Kernel Subspace Clustering
Communication-Efficient Federated Learning with Adaptive Quantization
Submodularity and its applications in optimized information gathering
Detecting and Analyzing Collusive Entities on YouTube
Indirectly Supervised Anomaly Detection of Clinically Meaningful Health Events from Smart Home Data
A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning
Effective and efficient microprocessor design space exploration using unlabeled design configurations
A Survey on Evaluation of Large Language Models
Automated Pricing in a Multiagent Prediction Market Using a Partially Observable Stochastic Game
Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science
Description-Driven Community Detection
TS-Fastformer: Fast Transformer for Time-series Forecasting
Simulating Urban Pedestrian Crowds of Different Cultures
Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks
GenFighter: A Generative and Evolutive Textual Attack Removal
Enhanced Knowledge-Leverage-Based TSK Fuzzy System Modeling for Inductive Transfer Learning
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection
Graph Neural Networks: Taxonomy, Advances, and Trends
Preface to special issue on applications of automated planning
A Novel Image-Centric Approach Toward Direct Volume Rendering
Special Issue on Responsible Recommender Systems Part 2
Identify Online Store Review Spammers via Social Review Graph
Data-Aware Declarative Process Mining with SAT
Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
The Letter from Prof. Maj. Gen. (Ret.) Isaac Ben-Israel
Short Text Analysis Based on Dual Semantic Extension and Deep Hashing in Microblog
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation
SmartTransfer: Modeling the Spatiotemporal Dynamics of Passenger Transfers for Crowdedness-Aware Route Recommendations
Introduction to the Special Section on Computational Models of Collective Intelligence in the Social Web
Self-weighted Robust LDA for Multiclass Classification with Edge Classes
Introduction to the special issue on intelligent multimedia systems and technology
Introduction to the ACM TIST special issue AI in social computing and cultural modeling
Introduction to special section on intelligent mobile knowledge discovery and management systems
DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements
Sponsored Search Auctions: Recent Advances and Future Directions
GNN-based Advanced Feature Integration for ICS Anomaly Detection
DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge
Depth Error Elimination for RGB-D Cameras
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment
Dancing with Trump in the Stock Market: A Deep Information Echoing Model
Alleviating Confirmation Bias in Learning with Noisy Labels via Two-Network Collaboration
Soter: Smart Bracelets for Children's Safety
PRO-MTL: Parameterized Route Optimization Using Multi-Task Learning
Multi-Stage Fusion and Multi-Source Attention Network for Multi-Modal Remote Sensing Image Segmentation
Preface to the ACM TIST Special Issue on Causal Discovery and Inference
Practical Privacy Preserving POI Recommendation
Energy-efficient Static Task Scheduling on VFI-based NoC-HMPSoCs for Intelligent Edge Devices in Cyber-physical Systems
Mobile Social Multimedia Analytics in the Big Data Era: An Introduction to the Special Issue
Activity Sensor: Check-In Usage Mining for Local Recommendation
Event Extraction using Structured Learning and Rich Domain Knowledge: Application across Domains and Data Sources
Harnessing Music-Related Visual Stereotypes for Music Information Retrieval
Location-Specific Influence Quantification in Location-Based Social Networks
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks
Interactive Image Search by Color Map
Customized prediction of respiratory motion with clustering from multiple patient interaction
Rating Effects on Social News Posts and Comments
Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving
Dynamic-Aware Federated Learning for Face Forgery Video Detection
Detecting changes in information diffusion patterns over social networks
Empirical Review of Various Thermography-based Computer-aided Diagnostic Systems for Multiple Diseases
Latent Support Vector Machine Modeling for Sign Language Recognition with Kinect
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, Is All You Need
Neighboring joint density-based JPEG steganalysis
Cross-User Federated Recommendation Unlearning
An Explore-Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series
Mondrian tree: A fast index for spatial alarm processing
Introduction to ACM TIST
Learning to Hash Knowledge Graph: Element-wise Rotation
3D-Guided Frontal Face Generation for Pose-Invariant Recognition
Social factors in group recommender systems
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation
Soft Confidence-Weighted Learning
Iteratively Divide-and-Conquer Learning for Nonlinear Classification and Ranking
Special Issue on Intelligent Edge Computing for Cyber Physical and Cloud Systems
Real-Time Bid Optimization for Group-Buying Ads
Crowdsourcing Mechanism for Trust Evaluation in CPCS Based on Intelligent Mobile Edge Computing
Multiview Metric Learning with Global Consistency and Local Smoothness
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data
Motion-Aware Compression and Transmission of Mesh Animation Sequences
HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction
A Joint Neural Model for User Behavior Prediction on Social Networking Platforms
Noise-aware Local Model Training Mechanism for Federated Learning
UMCR: User Interaction-Driven Mobile Content Retrieval
Personalized reading support for second-language web documents
Mining contextual movie similarity with matrix factorization for context-aware recommendation
CoPhy -PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems
Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach
Efficient and Privacy-preserving Fog-assisted Health Data Sharing Scheme
Improving Action Recognition via Temporal and Complementary Learning
Defending against Poisoning Backdoor Attacks on Federated Meta-learning
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling
Energy Usage Behavior Modeling in Energy Disaggregation via Hawkes Processes
Geographic Information Systems and Spatial Agent-Based Model Simulations for Sustainable Development
Watch the Story Unfold with TextWheel: Visualization of Large-Scale News Streams
Unifying Gradients to Improve Real-World Robustness for Deep Networks
Leveraging Auxiliary Data for Learning to Rank
Surveying More Than Two Decades of Music Information Retrieval Research on Playlists
Exploiting User Preference for Online Learning in Web Content Optimization Systems
Community Discovery from Social Media by Low-Rank Matrix Recovery
User-Specific Feature-Based Similarity Models for Top- n Recommendation of New Items
Reinforcement Learning for Quantitative Trading
Mining geographic-temporal-semantic patterns in trajectories for location prediction
An Approach to Ballet Dance Training through MS Kinect and Visualization in a CAVE Virtual Reality Environment
Question-Attentive Review-Level Explanation for Neural Rating Regression
Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation
Exploring the Risky Travel Area and Behavior of Car-hailing Service
LIBSVM: A library for support vector machines
Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies
Federated Social Recommendation with Graph Neural Network
How Is the Stroke? Inferring Shot Influence in Badminton Matches via Long Short-term Dependencies
A Survey of Zero-Shot Learning: Settings, Methods, and Applications
Self-supervised Short-text Modeling through Auxiliary Context Generation
A Novel Blockchain-based Responsible Recommendation System for Service Process Creation and Recommendation
Graph Machine Learning in the Era of Large Language Models (LLMs)
Effective Social Graph Deanonymization Based on Graph Structure and Descriptive Information
Taking the Pulse of US College Campuses with Location-Based Anonymous Mobile Apps
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence
Social Incentives in Paid Collaborative Crowdsourcing
PhC: Multiresolution Visualization and Exploration of Text Corpora with Parallel Hierarchical Coordinates
From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth
Identifying Points of Interest Using Heterogeneous Features
Efficient and Effective Similar Subtrajectory Search: A Spatial-aware Comprehension Approach
Cut-n-Reveal: Time Series Segmentations with Explanations
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing
An Association-Based Unified Framework for Mining Features and Opinion Words
Introduction to the Special Section on Distance Metric Learning in Intelligent Systems
Exploring Spatial Correlation for Visual Object Retrieval
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning
Introduction to the Special Issue on Linking Social Granularity and Functions
Fast Distributed k NN Graph Construction Using Auto-tuned Locality-sensitive Hashing
Explicit Knowledge Graph Reasoning for Conversational Recommendation
SPACE-TA: Cost-Effective Task Allocation Exploiting Intradata and Interdata Correlations in Sparse Crowdsensing
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling
Two-Word Collocation Extraction Using Monolingual Word Alignment Method
Unsupervised Outlier Detection with Reinforced Noise Discriminator
A Visual Analysis Approach for Understanding Durability Test Data of Automotive Products
Extracting City Traffic Events from Social Streams
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach
Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs
No Free Lunch Theorem for Security and Utility in Federated Learning
An abstractive approach to sentence compression
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application
Interior Individual Trajectory Simulation with Population Distribution Constraint
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction
RHUPS: Mining Recent High Utility Patterns with Sliding Window-based Arrival Time Control over Data Streams
Federated Multi-task Graph Learning
Robust Visual Tracking Using an Effective Appearance Model Based on Sparse Coding
A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion
Co-saliency Detection with Graph Matching
Beyond Relevance: Explicitly Promoting Novelty and Diversity in Tag Recommendation
Federated Learning for Electronic Health Records
Deep Learning Inferencing with High-performance Hardware Accelerators
Hybrid Prompt Learning for Generating Justifications of Security Risks in Automation Rules
Edge Manipulations for the Maximum Vertex-Weighted Bipartite b -matching
SPrank: Semantic Path-Based Ranking for Top- N Recommendations Using Linked Open Data
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
Planning solar array operations on the international space station
GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams
Domain Generalization for Activity Recognition via Adaptive Feature Fusion
An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization
Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity
Aspect-Aware Response Generation for Multimodal Dialogue System
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations
Enabling Graph Neural Networks for Semi-Supervised Risk Prediction in Online Credit Loan Services
Visual Analytics of Heterogeneous Data Using Hypergraph Learning
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
Incentive Mechanism Design for Crowdsourcing: An All-Pay Auction Approach
Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms
Campaign extraction from social media
PREUS: Proactive and Robust Edge-UAV Systems for Autonomous Monitoring in Dynamic Environments
Graph-based Recommendation Meets Bayes and Similarity Measures
Human-aware task planning: An application to mobile robots
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis
A Query Optimizer for Range Queries over Multi-Attribute Trajectories
Enumerating Connected Subgraphs and Computing the Myerson and Shapley Values in Graph-Restricted Games
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling
Online Planning for Large Markov Decision Processes with Hierarchical Decomposition
Industrial Federated Topic Modeling