yusuke1997/dblp-id-title huggingface dataset:
Knowledge Science, Engineering and Management - 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part II
Fragile Neural Network Watermarking with Trigger Image Set
A New Variable-Oriented Propagation Scheme for Constraint Satisfaction Problem
Fuzzy Constraint Logic Programming with Answer Set Semantics
Behavioural Rule Discovery from Swarm Systems
Towards Encoding Background Knowledge with Temporal Extent into Neural Networks
Recommendation via Collaborative Diffusion Generative Model
Customer Segmentation for Telecommunication Using Machine Learning
Heuristic Ant Colony Enabled Federated UAV Circuit Inspection Planning Algorithm Considering Adaptive Weather
Hypergraph Enhanced Contrastive Learning for News Recommendation
Relation Classification Using Coarse and Fine-Grained Networks with SDP Supervised Key Words Selection
Domain Ontology Enrichment Based on the Semantic Component of LMF-Standardized Dictionaries
WebGCN: Web Information Extraction Algorithm Based on Graph Neural Networks
W-Shaped Selection for Light Field Super-Resolution
Question Answering over Knowledge Graphs with Query Path Generation
MVARN: Multi-view Attention Relation Network for Figure Question Answering
Automatically Difficulty Grading Method Based on Knowledge Tree
Privacy-Preserving Naive Bayes Classification
Elastic Filter Prune in Deep Neural Networks Using Modified Weighted Hybrid Criterion
Knowledge Science, Engineering and Management - 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part I
Improving Answer Type Classification Quality Through Combined Question Answering Datasets
An Active Defense Scheme Integrating Traffic Anomaly Detection and Dynamic Key Update
A Survey of Game-Theoretic Methods for Controlling COVID-19
A Study on Applying Relational Association Rule Mining Based Classification for Predicting the Academic Performance of Students
P-Vit: A Simplified Vision Transformer Model Based on FFN and Simple Attention
A Semantic-Based EMRs Integration Framework for Diagnosis Decision-Making
Assessing the Impact of DMAIC-Knowledge Management Methodology on Six Sigma Projects: An Evaluation through Participant's Perception
Low-Sampling Imagery Data Recovery by Deep Learning Inference and Iterative Approach
A Network Embedding and Clustering Algorithm for Expert Recommendation Service
Pattern Recognition in Stock Data Based on a New Segmentation Algorithm
Sentence Matching with Deep Self-attention and Co-attention Features
Approach Based on Ontology and Machine Learning for Identifying Causes Affecting Personality Disorder Disease on Twitter
Toward a Type-Theoretical Approach for an Ontologically-Based Detection of Underground Networks
Image Super-Resolution Based on Residual Block Dense Connection
Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks
SoMORE: Social Context-Aware MLLM for Video Character Search
Automatic Building of Socio-semantic Networks for Requirements Analysis - Model and Business Application
Deep Convolutional Nets for Pulmonary Nodule Detection and Classification
An Ontology-Based Reasoning Framework for Reaction Mechanisms Simulation
A Knowledge-Based Conceptual Modelling Approach to Bridge Design Thinking and Intelligent Environments
On Constructing Software Environment Ontology for Time-Continuous Environment
A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge
LCS: A Linguistic Combination System for Ontology Matching
Multi-label Feature Selection with Adaptive Subspace Learning
A Two-Stage Model Based on BERT for Short Fake News Detection
Partial Alignment of Data Sets Based on Fast Intrinsic Feature Match
Learning Path Recommendation for MOOC Platforms Based on a Knowledge Graph
A Human-Computer Negotiation Model Based on Sentiment Analysis and Big Data
Multitask-Based Cluster Transmission for Few-Shot Text Classification
Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs
UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation
Modeling Empathy Episodes with ARD and DMN
Research on Node Cluster Analysis in Brain Connection Data
Cardinal Direction Relations in 3D Space
Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization
A Federated Learning Approach for Malware Detection in Data Heterogeneous Environments
Watermarking Neural Network with Compensation Mechanism
A Sparse Matrix Optimization Method for Graph Neural Networks Training
The Evaluation of Retrieval-Based Unlearning Mechanisms on Large Language Models
Text-Enhanced and Relational Context Based Hyperbolic Knowledge Graph Embedding
Mining Conceptual Knowledge from Network Traffic Data for Traffic Measurement Optimization
Page-Level Handwritten Word Spotting via Discriminative Feature Learning
State Representation Learning for Minimax Deep Deterministic Policy Gradient
Dialogue State Tracking with a Dialogue-Aware Slot-Level Schema Graph Approach
M-HGN: Multi-information Enhanced Heterogeneous Graph Network for Multi-party Dialogue Reading Comprehension
A Meta-Model for Studying the Coevolution of Knowledge and Collaboration Networks
A Divergence Measure between Mass Functions
MOAT: A Multi-objective Approach to Federated IoT Botnet Detection
Single Image Dehazing Using Hölder Coefficient
Noise-Resistant Federated Open Set Recognition
DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction
Modeling Ontological Concepts of Locations with a Heterogeneous Cardinal Direction Model
Affinity Propagation on Identifying Communities in Social and Biological Networks
Identification of Critical Nodes in Urban Transportation Network Through Network Topology and Server Routes
Evaluating Dataset Creation Heuristics for Concept Detection in Web Pages Using BERT
Robust Representation Learning for Image Clustering
A Fine-Grained Approach for Vulnerabilities Discovery Using Augmented Vulnerability Signatures
Modified Collaborative Filtering Algorithm Based on Multivariate Meta-similarity
An Unsupervised Framework Towards Sci-Tech Compound Entity Recognition
Bibliometric Analysis of Twitter Knowledge Management Publications Related to Health Promotion
Time-Aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representation
Attentive Capsule Graph Neural Networks for Session-Based Recommendation
Ant Colony Sampling with Mixture of Experts for Combinatorial Optimization
On Representational Issues About Combinations of Classical Theories with Nonmonotonic Rules
Context-Free and Context-Dependent Service Models Based on "Role Model" Concept for Utilizing Cultural Aspects
Another Useful Four-Valued Logic
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part VI
Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model
Learning Interaction-Aware and Neighborhood Semantic-Enhanced Embedding for Link Prediction
NKIMathE - A Multi-purpose Knowledge Management Environment for Mathematical Concepts
Insert Commonsense Knowledge Through Semantics for Dialogue Generation
Sampling Spatial-Temporal Attention Network for Traffic Forecasting
Improving Search in Tag-Based Systems with Automatically Extracted Keywords
Convergence Analysis of Affinity Propagation
Reinforcement Learning for Scientific Application: A Survey
Joint Extraction of Nested Entities and Relations Based on Multi-task Learning
Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning
Prime Implicates for Approximate Reasoning
Data and Knowledge: An Interdisciplinary Approach for Air Quality Forecast
Theory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospects
PartKG2Vec: Embedding of Partitioned Knowledge Graphs
Named Entity Recognition Based on Reinforcement Learning and Adversarial Training
Lurking in the Shadows: Imperceptible Shadow Black-Box Attacks Against Lane Detection Models
Cross Domain Collaborative Filtering by Integrating User Latent Vectors of Auxiliary Domains
View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization
MTCA-ViT: Multi-Modal Temporal Contrastive Vision Transformer for Depression Detection
An Overview of Methods for Acquiring and Generating Decision Models
Labeled Knowledge-Based Decision Making with Assumption-Based Argumentation
Critical Node Privacy Protection Based on Random Pruning of Critical Trees
Spatio-Temporal Attentive Network for Session-Based Recommendation
Online Internet Intrusion Detection Based on Flow Statistical Characteristics
FCA-XLNet-BiGRU Multi-task Framework for Darknet Transactions
Deep Learning-Based Sentiment Analysis for Predicting Financial Movements
Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion Task
MG-BERT: A Multi-glosses BERT Model for Word Sense Disambiguation
Learning to Map Chinese Sentences to Logical Forms
Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism
Extracting Anomalous Pre-earthquake Signatures from Swarm Satellite Data Using EOF and PC Analysis
Complex Networks' Analysis Using an Ontology-Based Approach: Initial Steps
RAG with Visual Alert: Boosting Multimodal Language Models for Enhanced Visual Question Answering
Mixing-RNN: A Recommendation Algorithm Based on Recurrent Neural Network
Knowledge Science, Engineering and Management, Third International Conference, KSEM 2009, Vienna, Austria, November 25-27, 2009. Proceedings
Permission-Based Feature Scaling Method for Lightweight Android Malware Detection
Large Language Models Are Not Stable Recommender Systems: A Position Bias Perspective
TSC-GCN: A Face Clustering Method Based on GCN
Vicinal Data Augmentation for Classification Model via Feature Weaken
Research on Innovation Trends of AI Applied to Medical Instruments Using Informetrics Based on Multi-sourse Information
Image Stabilization Based on Harris Corners and Optical Flow
Automated Ontology Generation Using Spatial Reasoning
GeoER: A Challenging Benchmark for Geometric Element Recognition
GCCR: GAT-Based Category-Aware Course Recommendation
Depthwise Separable Convolutional Neural Network for Confidential Information Analysis
Trust-Aware Recommendation in Social Networks
Efficient Hash Coding for Image Retrieval Based on Improved Center Generation and Contrastive Pre-training Knowledge Model
BPMN4SBP for Multi-dimensional Modeling of Sensitive Business Processes
Discovering Classes of Strongly Equivalent Logic Programs with Negation as Failure in the Head
A Graph Neural Network for Cross-domain Recommendation Based on Transfer and Inter-domain Contrastive Learning
Interest Logic and Its Application on the Web
Knowledge Tracing with Exercise-Enhanced Key-Value Memory Networks
Style Augmentation and Domain-Aware Parametric Contrastive Learning for Domain Generalization
Recomposition of Process Choreographies Using a Graph-Based Model Repository
A Knowledge Enhanced Ensemble Learning Model for Mental Disorder Detection on Social Media
ProbLog Program Based Ontology Matching
A Benchmark for Ontologies Merging Assessment
Exploring Word Composition Knowledge in Language Usages
Adaptive Capsule Graph Neural Network with Attention Mechanism for Parathyroid Glands Detection
Social Welfare Semantics for Value-Based Argumentation Framework
Research on Hot Micro-blog Forecast Based on XGBOOST and Random Forest
Rationality of Thought Improves Reasoning in Large Language Models
Decomposition-Based Optimization for Debugging of Inconsistent OWL DL Ontologies
Interval-Valued Fuzzy Portfolio Decision Model with Transaction Cost and Liquidity
Discourse Component Recognition via Graph Neural Network in Chinese Student Argumentative Essays
GAN-Based Fusion Adversarial Training
Adversarial Examples for Preventing Diffusion Models from Malicious Image Edition
Learning-Based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy
On the Social Network Based Semantic Annotation of Conceptual Models
Combine Coarse and Fine Cues: Multi-grained Fusion Network for Video-Based Person Re-identification
PSFK: A Student Performance Prediction Scheme for First-Encounter Knowledge in ITS
A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes
PolyBERT: Fine-Tuned Poly Encoder BERT-Based Model for Word Sense Disambiguation
Dual Attention Transformer with Multi-scale Perception for Multivariate Time Series Forecasting
Modular Logic Programming for Web Data, Inheritance and Agents
Activity Recognition Based on Hidden Markov Models
Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint
Novel Data Management Algorithms in Peer-to-Peer Content Distribution Networks
Learning to Classify Short Text with Topic Model and External Knowledge
Evolutionary Verbalizer Search for Prompt-Based Few Shot Text Classification
On the Use of a Mixed Binary Join Tree for Exact Inference in Dynamic Directed Evidential Networks with Conditional Belief Functions
An Approach to Generating Proposals for Handling Inconsistent Software Requirements
LVLM-FDA: Protecting Large Vision-Language Models via Fast Detection of Malicious Attempts
Ontology-Based Inference for Causal Explanation
Parallel FHE-Based Neural Network Inference with Knowledge Distillation for Efficient Privacy-Preserving Image Classification
Knowledge in Product and Performance Support
Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition
Semi-supervised Entity Alignment via Noisy Student-Based Self Training
Fm-QCA: A Novel Approach to Multi-value Qualitative Comparative Analysis
Knowledge Engineering Technique for Cluster Development
KAD: Based on the Kolmogorov-Arnold Formula's Nonlinear Dynamic Channel Weights Module
Knowledge Flow-Based Document Recommendation for Knowledge Sharing
Frequent Patterns Based Word Network: What Can We Obtain from the Tourism Blogs?
Framework for Collaborative Knowledge Sharing and Recommendation Based on Taxonomic Partial Reputations
Semantic Decomposition of Indicators and Corresponding Measurement Units
QBT: Efficient and Flexible Resource Allocation Method for Data Center of State Grid Scenario
Panoptic-DLA: Document Layout Analysis of Historical Newspapers Based on Proposal-Free Panoptic Segmentation Model
Do Domain-Specific LLMs Keep Secrets? An Empirical Study of Privacy Risks and Membership Inference Attacks
Two-Stage Object Detection Based on Deep Pruning for Remote Sensing Image
Consistency Regularization Helps Mitigate Robust Overfitting in Adversarial Training
An Automatic Method for Understanding Political Polarization Through Social Media
Theoretical Study of Exponential Best-Fit: Modeling hCG for Gestational Trophoblastic Disease
Enhancing Pet Health Record Security Through RSA-Encrypted NFTs and Smart Contracts on the Blockchain
An Improved Piecewise Aggregate Approximation Based on Statistical Features for Time Series Mining
Paper Recommendation with Item-Level Collaborative Memory Network
GC-DAWMAR: A Global-Local Framework for Long-Term Time Series Forecasting
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering
Structural and Temporal Learning for Dropout Prediction in MOOCs
Feature Matching Based Heterogeneous Transfer Learning for Student Performance Prediction
CorefDRE: Coref-Aware Document-Level Relation Extraction
A Hierarchical Pachinko Allocation Model for Social Sentiment Mining
Exploring Language Diversity to Improve Neural Text Generation
Term Consistency Checking of Ontology Model Based on Description Logics
Hardware and Software Co-optimization for Windows Attention
Engineering Knowledge for Assistive Living
Knowledge Science, Engineering and Management, First International Conference, KSEM 2006, Guilin, China, August 5-8, 2006, Proceedings
Multi-view Heterogeneous Network Embedding
An Improved Cross-Validated Adversarial Validation Method
Finding Experts in Tag Based Knowledge Sharing Communities
Joint Entity and Relation Extraction for Long Text
Enhanced Entity Interaction Modeling for Multi-Modal Entity Alignment
Practical Scheme for Secure Outsourcing of Coppersmith's Algorithm
Chinese Relation Extraction of Apple Diseases and Pests Based on BERT and Entity Information
A Recipe Recommendation System Based on Automatic Nutrition Information Extraction
Towards Explainable Reinforcement Learning Using Scoring Mechanism Augmented Agents
A Method of Social Collaboration and Knowledge Sharing Acceleration for e-Learning System: The Distance Learning Network Scenario
MultiTEmb: Multi-scale Embeddings for Temporal KG Completion
Quantifying the Emergence of New Domains: Using Cybersecurity as a Case
CGM: Intrusion Detection Based on a Multi-head Attention Optimization Model
Analysis on Current Research of Supernetwork through Knowledge Mapping Method
Tree Edit Distance Based Ontology Merging Evaluation Framework
What Drives Members to Continue Sharing Knowledge in a Virtual Professional Community? The Role of Knowledge Self-efficacy and Satisfaction
Knowledge Leadership, AI Technology Adoption and Big Data Application Ability
A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems
Education Distillation: Let the Model Learn in the School
Improved Feature Selection Algorithm for Biological Sequences Classification
Ride-Hailing Order Matching and Vehicle Repositioning Based on Vehicle Value Function
Bayesian Belief Network Model Using Sematic Concept for Expert Finding
A Case Study for CTL Model Update
Rethinking the Information Inside Documents for Sentiment Classification
Word Embeddings for Unsupervised Named Entity Linking
Enhancing Electoral Integrity: A Comprehensive Study of Blockchain-Enabled Voting on EVM Platforms
A Comparative Study of Chatbot Response Generation: Traditional Approaches Versus Large Language Models
KDTSS: A Blockchain-Based Scheme for Knowledge Data Traceability and Secure Sharing
WGCN: A Novel Wavelet Graph Neural Network for Metro Ridership Prediction
Visualization of Customer Satisfaction Linked to Behavior Using a Process-Based Web Questionnaire
Improving Policy Generalization for Teacher-Student Reinforcement Learning
Adaptive Conceding Strategies for Negotiating Agents Based on Interval Type-2 Fuzzy Logic
Predicting User Influence in the Propagation of Toxic Information
Building Program Vector Representations for Deep Learning
A Concept Hierarchy Based Ontology Mapping Approach
Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential
Knowledge-Informed Molecular Learning: A Survey on Paradigm Transfer
Constrained Viral Marketing in Social Networks
Recognition of Mechanical Parts Based on Improved YOLOv4-Tiny Algorithm
A Correlation-Based Approach to Consumer Oriented Evaluation of Product Recommendation
A Practical Method of Identifying Chinese Metaphor Phrases from Corpus
Multiobjective-integer-programming-based Sensitive Frequent Itemsets Hiding
Reducing the Teacher-Student Gap via Elastic Student
Gaussian Process for Recommender Systems
On the Translation from Quantified Modal Logic into the Counterpart Theory Revisited
A Framework for Automated Test Generation in Intelligent Tutoring Systems
A WSMO-Based Semantic Web Services Discovery Framework in Heterogeneous Ontologies Environment
IR-SDTNet: An Infrared Small Target Detection Network Based on Denoising Enhancement
Constrained Multi-agent Reinforcement Learning Approach on Wireless Charging Scheduling
A Multi-objective Optimization Method for Joint Feature Selection and Classifier Parameter Tuning
Multi-faceted Distrust Aware Recommendation
Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning
A Smart Search-Based Ontology Visualization Tool Using SPARQL Patterns
Lexicon Graph Adapter Based BERT Model for Chinese Named Entity Recognition
Knowledge Distillation via Channel Correlation Structure
An Ontology-Based Framework for Building Adaptable Knowledge Management Systems
An Enhanced Deep Hashing Method for Large-Scale Image Retrieval
Ontology Mining for Semantic Interpretation of Information Needs
Improved Knowledge Base Completion by the Path-Augmented TransR Model
A Hybrid Model with Pre-trained Entity-Aware Transformer for Relation Extraction
Attention-Based Knowledge Tracing with Heterogeneous Information Network Embedding
Design and Realization of Advertisement Promotion Based on the Content of Webpage
Data Integration for Business Analytics: A Conceptual Approach
Discovering User's Background Information from Mobile Phone Data
EntiFA: Entity-Based Fine-Grained Adaptation for Knowledge Enhancement in Large Language Models
Multimodal Sentiment Analysis with Modality-Robust and -Biased Representations and Distance-Aware Contrastive Learning
Using a Dependently-Typed Language for Expressing Ontologies
An Improved Weighted ELM with Hierarchical Feature Representation for Imbalanced Biomedical Datasets
Predicting Crowdsourcing Worker Performance with Knowledge Tracing
Symmetric Rectified Linear Units for Fully Connected Deep Models
Knowledge Capability: A Definition and Research Model
An LLM-Enabled Data Augmentation Framework for Low-Resource Scenarios
A Spatial Interpolation Using Clustering Adaptive Inverse Distance Weighting Algorithm with Linear Regression
HDRIU-B: Hierarchical Data Rights Confirmation and Incremental Update Mechanism Based on NFT and SBT in Blockchain
Combining Logic and Probabilities for Discovering Mappings between Taxonomies
Research on CAN Bus Intrusion Detection Method Based on Feature Fusion of Fourier Transform and Wavelet Transform
AutoSimP: An Approach for Predicting Proteins' Structural Similarities Using an Ensemble of Deep Autoencoders
iCHUM: An Efficient Algorithm for High Utility Mining in Incremental Databases
Unsupervised Cross-Lingual Sentence Representation Learning via Linguistic Isomorphism
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part V
EEG Emotion Classification Using 2D-3DCNN
Building Bilingual Ontology from WordNet and Chinese Classified Thesaurus
Dual-Dimensional Refinement of Knowledge Graph Embedding Representation
Topic Network: Topic Model with Deep Learning for Image Classification
The Use of k-Means Algorithm to Improve Kernel Method via Instance Selection
Modeling Strategic Beliefs with Outsmarting Belief Systems
Detection DDoS of Attacks Based on Federated Learning with Digital Twin Network
Knowledge Science, Engineering and Management - 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings
Swarm Intelligence-Based Feature Selection: An Improved Binary Grey Wolf Optimization Method
Person Re-identification via Learning Visual Similarity on Corresponding Patch Pairs
Cop: Continuously Pairing of Heterogeneous Wearable Devices Based on Heartbeat
Mamba Model Based on GloVe Word Embedding for Sentiment Analysis
MPN: Leveraging Multilingual Patch Neuron for Cross-Lingual Model Editing
Knowledge Reduction Based on Evidence Reasoning Theory in Ordered Information Systems
New Indicators and Optimizations for Zero-Shot NAS Based on Feature Maps
CGCL: A Novel Collaborative Graph Contrastive Learning Network for Chinese NER
Verifying Software Requirements Based on Answer Set Programming
Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels
Measuring Similarity in the Semantic Representation of Moving Objects in Video
Citation Classification Using Multitask Convolutional Neural Network Model
MoveFormer: Spatial Graph Periodic Injection Network for Next POI Recommendation
HLB-ConvMLP- Rapid Identification of Citrus Leaf Diseases
Identification of Seismic Wave First Arrivals from Earthquake Records via Deep Learning
Multi-attention Item Recommendation Model Based on Social Relations
Scalable Horn-Like Rule Inference of Semantic Data Using MapReduce
Schema-Based Query Rewriting in SPARQL
A Study on Knowledge Creation Support in a Japanese Research Institute