yusuke1997/dblp-id-title huggingface dataset:
Tabular Transformers Meet Relational Databases
Addressing Data Challenges to Drive the Transformation of Smart Cities
Mining User Check-In Behavior with a Random Walk for Urban Point-of-Interest Recommendations
A Comprehensive Survey of Grammatical Error Correction
Distributional phrasal paraphrase generation for statistical machine translation
Quantum Informative Analysis in Smart Power Distribution
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks
A Unified Framework for Analyzing Textual Context and Intent in Social Media
A Hybrid Background Subtraction Method with Background and Foreground Candidates Detection
Video Object Segmentation and Tracking: A Survey
Efficient User Guidance for Validating Participatory Sensing Data
Surveying Technology Fusion in IoT Networks for IDS: Exploring Datasets, Tools, Challenges, and Research Prospects
Recognizing pair-activities by causality analysis
Recognition of Patient-Related Named Entities in Noisy Tele-Health Texts
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network
Disentangled Item Representation for Recommender Systems
Adversarial Geospatial Abduction Problems
Trust and matching algorithms for selecting suitable agents
Gestures à Go Go: Authoring Synthetic Human-Like Stroke Gestures Using the Kinematic Theory of Rapid Movements
An Efficient Alternating Newton Method for Learning Factorization Machines
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2
A modified random walk framework for handling negative ratings and generating explanations
Analysing the Predictability of Language Model Performance
COMET: Convolutional Dimension Interaction for Collaborative Filtering
Flexible Multi-modal Hashing for Scalable Multimedia Retrieval
KGDA: A Knowledge Graph Driven Decomposition Approach for Cellular Traffic Prediction
Exploiting Multilabel Information for Noise-Resilient Feature Selection
Visual Understanding with RGB-D Sensors: An Introduction to the Special Issue
Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences
Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims
Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations
Intelligent System of Game-Theory-Based Decision Making in Smart Sports Industry
CSL+: Scalable Collective Subjective Logic under Multidimensional Uncertainty
Grounding Foundation Models through Federated Transfer Learning: A General Framework
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition
Transfer Learning for Behavior Ranking
Multi-Hypergraph Consistent Sparse Coding
Feature Grouping-based Trajectory Outlier Detection over Distributed Streams
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation
Batch Mode Active Learning for Networked Data
A Real-Time Hand Posture Recognition System Using Deep Neural Networks
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance
Auto-weighted Robust Federated Learning with Corrupted Data Sources
A Discriminant Information Theoretic Learning Framework for Multi-modal Feature Representation
Mining High-utility Temporal Patterns on Time Interval-based Data
RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data
Disentangling User Interest and Geographical Context for POI Recommendations
Introduction to the special section on intelligent systems for socially aware computing
The Social Cognition Ability Evaluation of LLMs: A Dynamic Gamified Assessment and Hierarchical Social Learning Measurement Approach
Reconstruction of Hidden Representation for Robust Feature Extraction
Trajectory Data Classification: A Review
Causal Discovery on Discrete Data with Extensions to Mixture Model
Distinguishing Facial Features for Ethnicity-Based 3D Face Recognition
Learning Representations of Satellite Imagery by Leveraging Point-of-Interests
AVENUE: A Novel Deepfake Detection Method Based on Temporal Convolutional Network and rPPG Information
On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected
Analysing Utterances in LLM-Based User Simulation for Conversational Search
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
Knowledge Representations and Inference Techniques for Medical Question Answering
Optimal Scheduling of Cybersecurity Analysts for Minimizing Risk
Joint Link Prediction and Attribute Inference Using a Social-Attribute Network
Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information
Latent Geospatial Semantics of Social Media
Intelligent Social Media Indexing and Sharing Using an Adaptive Indexing Search Engine
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II
As-You-Type Social Aware Search
Deep Energy Factorization Model for Demographic Prediction
Dynamic Scheduling of Cybersecurity Analysts for Minimizing Risk Using Reinforcement Learning
Automatic Generation of Plausible Co-Occurring Causes for Effects Explanation or Prediction
Misinformation Resilient Search Rankings with Webgraph-Based Interventions
Joint Latent Space and Label Inference Estimation with Adaptive Fused Data and Label Graphs
Measuring and Recommending Time-Sensitive Routes from Location-Based Data
Diagnose Like Doctors: Weakly Supervised Fine-Grained Classification of Breast Cancer
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1
Modeling Customer Experience in a Contact Center through Process Log Mining
A learning-based contrarian trading strategy via a dual-classifier model
Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data
Toward Accounting for Hidden Common Causes When Inferring Cause and Effect from Observational Data
An inference-based model of word meaning in context as a paraphrase distribution
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network
EachWiki: Facilitating Wiki Authoring by Annotation Suggestion
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
PIN: Application-Level Consensus for Blockchain-Based Artificial Intelligence Frameworks
Learning Three-dimensional Skeleton Data from Sign Language Video
Learning Privacy-Preserving Embeddings for Image Data to Be Published
Multiview Discrete Hashing for Scalable Multimedia Search
BiNeTClus: Bipartite Network Community Detection Based on Transactional Clustering
Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations
Agent-based homeostatic control for green energy in the smart grid
A Fuzzy Logic System for Bargaining in Information Markets
Cyber Security and the Role of Intelligent Systems in Addressing its Challenges
Subkilometer crater discovery with boosting and transfer learning
Neural Topic Modeling via Discrete Variational Inference
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System
Efficient Methods for Influence-Based Network-Oblivious Community Detection
Second-order Confidence Network for Early Classification of Time Series
Analyzing Robustness of Automatic Scientific Claim Verification Tools against Adversarial Rephrasing Attacks
RANGO: A Novel Deep Learning Approach to Detect Drones Disguising from Video Surveillance Systems
Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards
Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019
Modeling Topics and Behavior of Microbloggers: An Integrated Approach
Personalized Air Travel Prediction: A Multi-factor Perspective
Sustainable biomass power plant location in the Italian Emilia-Romagna region
Toward Balancing the Efficiency and Effectiveness in k-Facility Relocation Problem
Vertical Ensemble Co-Training for Text Classification
What Can Knowledge Bring to Machine Learning? - A Survey of Low-shot Learning for Structured Data
RecRules: Recommending IF-THEN Rules for End-User Development
Semiparametric Inference of the Complier Average Causal Effect with Nonignorable Missing Outcomes
Optimum Velocity Profile of Multiple Bernstein-Bézier Curves Subject to Constraints for Mobile Robots
Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment
CORALS: A real-time planner for anti-air defense operations
Combination Forecasting Reversion Strategy for Online Portfolio Selection
Using qualitative reasoning for social simulation of crowds
Parameterized Decay Model for Information Retrieval
Multitechnique paraphrase alignment: A contribution to pinpointing sub-sentential paraphrases
DeepTracker: Visualizing the Training Process of Convolutional Neural Networks
A Survey on Graph Representation Learning Methods
Learning to detect malicious URLs
A Bibliometric Review of Large Language Models Research from 2017 to 2023
Considering Time and Feature Entropy in Calibrated Recommendations
A Data Mining Approach to Assess Privacy Risk in Human Mobility Data
A Semantically Driven Hybrid Network for Unsupervised Entity Alignment
Using Sparse Representation to Detect Anomalies in Complex WSNs
Introduction to the Special Issue on Crowd in Intelligent Systems
Real-Time Human Mobility Modeling with Multi-View Learning
Spatiotemporal Sequential Influence Modeling for Location Recommendations: A Gravity-based Approach
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation
An online system for multiple interacting targets tracking: Fusion of laser and vision, tracking and learning
Formalizing and verifying protocol refinements
Introduction to the Special Issue on Diversity and Discovery in Recommender Systems
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing
Dynamic Probabilistic Graphical Model for Progressive Fake News Detection on Social Media Platform
Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things
Memory Network-Based Interpreter of User Preferences in Content-Aware Recommender Systems
Privacy-preserving Collaborative Filtering by Distributed Mediation
Paraphrase acquisition via crowdsourcing and machine learning
Personalized Learning Path Recommendation with Time-Aware Attention-Based Reinforcement Learning
Contrastive Trajectory Learning for Tour Recommendation
Mining Willing-to-Pay Behavior Patterns from Payment Datasets
On Estimation of Functional Causal Models: General Results and Application to the Post-Nonlinear Causal Model
Planning interventions in biological networks
Personalized Microtopic Recommendation on Microblogs
A Foraging Strategy with Risk Response for Individual Robots in Adversarial Environments
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction
Charging and Storage Infrastructure Design for Electric Vehicles
A Semi-Boosted Nested Model With Sensitivity-Based Weighted Binarization for Multi-Domain Network Intrusion Detection
Stable Specification Search in Structural Equation Models with Latent Variables
KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines
You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior
Performance metrics for activity recognition
Robust Learning under Hybrid Noise
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning
LONET: An interactive search network for intelligent lecture path generation
Introduction to the Special Section on Advances in Causal Discovery and Inference
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification
Cost-aware Best Arm Identification in Stochastic Bandits
Real-time Road Network Optimization with Coordinated Reinforcement Learning
On Representation Learning for Road Networks
An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification
Online Heterogeneous Transfer Learning by Knowledge Transition
Newton Methods for Convolutional Neural Networks
Activity Recognition for Dynamic Multi-Agent Teams
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time
Redundant Label Learning via Subspace Representation and Global Disambiguation
S3-Net: A Fast Scene Understanding Network by Single-Shot Segmentation for Autonomous Driving
Robust Decentralized Low-Rank Matrix Decomposition
Traffic Information Publication with Privacy Preservation
Modeling with Node Popularities for Autonomous Overlapping Community Detection
On-Device Mobile Landmark Recognition Using Binarized Descriptor with Multifeature Fusion
Personalized Reason Generation for Explainable Song Recommendation
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression
Analyzing user behavior across social sharing environments
SMARTS: Scalable Microscopic Adaptive Road Traffic Simulator
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
A Supervised Learning Model for High-Dimensional and Large-Scale Data
An Evaluation of Gamesourced Data for Human Pose Estimation
Adaptive Online One-Class Support Vector Machines with Applications in Structural Health Monitoring
Disease Simulation in Airport Scenario Based on Individual Mobility Model
A Cross-Domain Recommendation Mechanism for Cold-Start Users Based on Partial Least Squares Regression
Sparse Online Learning of Image Similarity
Modeling Queries with Contextual Snippets for Information Retrieval
A Simple Baseline for Travel Time Estimation using Large-scale Trip Data
Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility
A machine learning approach to college drinking prediction and risk factor identification
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud
A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems
Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks
Diversifying Citation Recommendations
Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework
CRADLE: An Online Plan Recognition Algorithm for Exploratory Domains
Twitter, MySpace, Digg: Unsupervised Sentiment Analysis in Social Media
An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks
Graph Neural Rough Differential Equations for Traffic Forecasting
Privacy Preservation for Trajectory Publication Based on Differential Privacy
Check-ins in "Blau Space": Applying Blau's Macrosociological Theory to Foursquare Check-ins from New York City
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction
Introduction to special section on trust in multiagent systems
Multi-Graph Cooperative Learning Towards Distant Supervised Relation Extraction
Large Language Models Are Zero-Shot Recognizers for Activities of Daily Living
What Causes the Dependency between Perceived Aesthetics and Perceived Usability?
Synthetic Aperture Radar Automatic Target Recognition Based on a Simple Attention Mechanism
Multi-Agent and Fuzzy Inference-Based Framework for Traffic Light Optimization
Generative Artificial Intelligence in Education: From Deceptive to Disruptive
Security Model for the Internet of Things, Through Blockchain
StuA: An Intelligent Student Assistant
Music Boundary Detection using Convolutional Neural Networks: A Comparative Analysis of Combined Input Features
Adaptive Deep Learning Detection Model for Multi- Foggy Images
An Elitist Non-Dominated Multi-Objective Genetic Algorithm Based Temperature Aware Circuit Synthesis
Reversible Image Watermarking Using Modified Quadratic Difference Expansion and Hybrid Optimization Technique
A Fuzzy Linguistic RFM Model Applied to Campaign Management
Masticatory System Biomechanical Photoelastic Simulation fot the Comparision of the Conventional and Uni-Lock Systems in Mandibular Osteosynthesis
Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems
Social Networks as Learning Environments for Higher Education
An Experimental Study on Microarray Expression Data from Plants under Salt Stress by using Clustering Methods
Real-Time Prediction of Gamers Behavior Using Variable Order Markov and Big Data Technology: A Case of Study
UC@MOOC's Effectiveness by Producing Open Educational Resources
On the Use of Large Language Models at Solving Math Problems: A Comparison Between GPT-4, LlaMA-2 and Gemini
Multi-agent Systems for Arabic Handwriting Recognition
An analytic Study of the Key Factors In uencing the Design and Routing Techniques of a Wireless Sensor Network
Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing
Hybrid Model for Passive Locomotion Control of a Biped Humanoid: The Artificial Neural Network Approach
A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems
Intelligent Position Aware Mobile Services for Seamless and Non-Intrusive Clocking-in
Audio-Visual Automatic Speech Recognition Using PZM, MFCC and Statistical Analysis
Use of Data Mining for Intelligent Evaluation of Imputation Methods
A Diverse Domain Generative Adversarial Network for Style Transfer on Face Photographs
The Use of Genetic Algorithms in UV Disinfection of Drinking Water
COVID-19 Mortality Risk Prediction Using X-Ray Images
Analysis of Security Mechanisms Based on Clusters IoT Environments
Conceptualizing the e-Learning Assessment Domain using an Ontology Network
Assessing Road Traffic Expression
Formalization of Event Perception and Event Appraisal Process
Aligning Figurative Paintings With Their Sources for Semantic Interpretation
Development of a Predictive Model for Induction Success of Labour
Finite Sample Properties of Parameterized Expectations Algorithm Solutions; Is the Length So Determinant?
HDDSS: An Enhanced Heart Disease Decision Support System using RFE-ABGNB Algorithm
Difusion-Weighted MRI: from Brownian Motion to Head&Neck Tumor Characterization
A Useful Metaheuristic for Dynamic Channel Assignment in Mobile Cellular Systems
Neighborhood Structure-Based Model for Multilingual Arbitrarily-Oriented Text Localization in Images/Videos
Foundations for the Design of a Creative System Based on the Analysis of the Main Techniques that Stimulate Human Creativity
Attention-based Multi-modal Sentiment Analysis and Emotion Detection in Conversation using RNN
A REST Service for Triangulation of Point Sets Using Oriented Matroids
A New Feature Selection Method based on Intuitionistic Fuzzy Entropy to Categorize Text Documents
Design of a Virtual Assistant to Improve Interaction Between the Audience and the Presenter
A Hybrid Approach for Android Malware Detection and Family Classification
Spectral Restoration Based Speech Enhancement for Robust Speaker Identification
Can Generative AI Solve Geometry Problems? Strengths and Weaknesses of LLMs for Geometric Reasoning in Spanish
Variation of the Heartbeat and Activity as an Indicator of Drowsiness at the Wheel Using a Smartwatch
Facial Emotion Recognition Using Context Based Multimodal Approach
Modulating the Gameplay Challenge Through Simple Visual Computing Elements: A Cube Puzzle Case Study
Route planning algorithms: Planific@ Project
OntoInfoG++: A Knowledge Fusion Semantic Approach for Infographics Recommendation
AI Hallucinations? What About Human Hallucination?! Addressing Human Imperfection Is Needed for an Ethical AI
BPLOM: BPM Level-Oriented Methodology for Incremental Business Process Modeling and Code Generation on Mobile Platforms
Transmission Dynamics Model of Coronavirus COVID-19 for the Outbreak in Most Affected Countries of the World
Iris recognition using the JAVAVis Library
IJIMAI Editor's Note - Vol. 4 Issue 3
O-ODM Framework for Object-Relational Databases
A Rule-Based Expert System for Teachers' Certification in the Use of Learning Management Systems
Do Women and Men Perceive User Experience Differently?
Kuruma: The Vehicle Automatic Data Capture for Urban Computing Collaborative Systems
Virtual Planning and Intraoperative Navigation in Craniomaxillofacial Surgery
Editors Note
Supporting Multi-agent Coordination and Computational Collective Intelligence in Enterprise 2.0 Platform
A System to Generate SignWriting for Video Tracks Enhancing Accessibility of Deaf People
Painting Authorship and Forgery Detection Challenges with AI Image Generation Algorithms: Rembrandt and 17th Century Dutch Painters as a Case Study
User Revocation-Enabled Access Control Model Using Identity-Based Signature in the Cloud Computing Environment
Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images
Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities
Voltage Stability Assessment of Radial Distribution Systems Including Optimal Allocation of Distributed Generators
Handwritten Arabic Documents Segmentation into Text Lines using Seam Carving
IAtraj: Multi-Modal Trajectory Prediction Through Contextual Information Spatio-Temporal Interaction and Awareness
Empirical Comparison of Graph-based Recommendation Engines for an Apps Ecosystem
UX of Social Network Edmodo in Undergraduate Engineering Students
Biometry, the safe key
Three Dimensional Tree Modeling Based on the Skeleton Path Optimization and Geometrical Shapes
Big Data and Learning Analytics in Blended Learning Environments: Benefits and Concerns
MWAND: A New Early Termination Algorithm for Fast and Efficient Query Evaluation
Achieving Fair Inference Using Error-Prone Outcomes
Are Instructed Emotional States Suitable for Classification? Demonstration of How They Can Significantly Influence the Classification Result in An Automated Recognition System
Efficient Measurement of the User Experience of Interactive Products. How to use the User Experience Questionnaire (UEQ).Example: Spanish Language Version
Research on the Application of Computer Graphic Advertisement Design Based on a Genetic Algorithm and TRIZ Theory
Automatic Surveillance of People and Objects on Railway Tracks
ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System
Wireless Sensor Networks and Real-Time Locating Systems to Fight against Maritime Piracy
Soft Computing Modelling of Urban Evolution: Tehran Metropolis
A Word Embedding Based Approach for Focused Web Crawling Using the Recurrent Neural Network
Balance Your Work-Life: Personal Interactive Web-Interface
SVM and ANN Based Classification of Plant Diseases Using Feature Reduction Technique
Re-Evaluating the Relationship Between Economic Development and Self-Employment, at the Macro-Level: A Bayesian Model Averaging Approach
Integrating Emotion Recognition Tools for Developing Emotionally Intelligent Agents
Review of Current Student-Monitoring Techniques used in eLearning-Focused recommender Systems and Learning analytics. The Experience API & LIME model Case Study
A Topic Modeling Guided Approach for Semantic Knowledge Discovery in e-Commerce
Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training
A Survey on Data-Driven Evaluation of Competencies and Capabilities Across Multimedia Environments
Service Orchestration on the Internet of Things
Sphericall: A Human/Artificial Intelligence interaction experience