yusuke1997/dblp-id-title huggingface dataset:
Solving the Problem of Task Offloading in Heterogeneous Edge Computing Environments Using Deep Q-Networks and Attention Mechanisms
Key Nodes Evaluation for Human Proximity Networks Based on Gravity Model
Spatial Semantic Learning for Travel Time Estimation
Multi-Attention Relation Network for Figure Question Answering
Fine-Grained Unbalanced Interaction Network for Visual Question Answering
Best Guided Backtracking Search Algorithm for Numerical Optimization Problems
Differentially Private Graph Data Publishing via Feature-Based Community Detection
Improving Mongolian-Chinese Translation Quality Using Noise-Enhanced mBART
Multi-layer LSTM Parallel Optimization Based on Hardware and Software Cooperation
Attention Aware Bidirectional Gated Recurrent Unit Based Framework for Sentiment Analysis
Learning Path Generation Method Based on Migration Between Concepts
Research on Fuzzy Intelligent Recommendation System Based on Consumer Online Reviews
VulCausal: Robust Vulnerability Detection Using Neural Network Models from a Causal Perspective
A Review of Optimization Techniques for Large Language Model Inference
A Binary Multi-objective Grey Wolf Optimization for Feature Selection
Edge Features Enhanced Graph Attention Network for Relation Extraction
Land Cover Classification Based on Adaptive Interval-Valued Type-2 Fuzzy Clustering Analysis
A Robust Video Steganography Method Based on Multi-scale Decomposition and Invertible Networks
DRL-SA: Deep Reinforcement Learning-Based Client Selection and Secure Aggregation for Federated Learning
Not Only the Contextual Semantic Information: A Deep Fusion Sentimental Analysis Model Towards Extremely Short Comments
Block Modelling and Learning for Structure Analysis of Networks with Positive and Negative Links
Collaborative Adversarial Learning for Unsupervised Federated Domain Adaptation
Enforcing Logically Weaker Knowledge in Classical Logic
Integrating Global Features into Neural Collaborative Filtering
A Trust Network Model Based on Hesitant Fuzzy Linguistic Term Sets
Training-Less Multi-label Text Classification Using Knowledge Bases and Word Embeddings
A New Monarch Butterfly Optimization Algorithm with SA Strategy
ROSIE: Runtime Optimization of SPARQL Queries over RDF Using Incremental Evaluation
An Improved YOLO Algorithm for Object Detection in All Day Scenarios
Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term
Framework for Text-Based Conversational User-Interface for Business Applications
A Dynamic Description Logic for Representation and Reasoning About Actions
Enhancing Pre-trained Language Models by Self-supervised Learning for Story Cloze Test
Label Inference Attacks Against Federated Unlearning
ACRM: Integrating Adaptive Convolution with Recalibration Mechanism for Link Prediction
On Defense Strength of Blocking Defeaters in Admissible Sets
Wavelet-Based Method for Detecting Seismic Anomalies in DEMETER Satellite Data
Weighted Multiple Source-Free Domain Adaptation Ensemble Network in Intelligent Machinery Fault Diagnosis
Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition System
A Multimodal Fusion Framework Employing Full-Stage Attention for Survival Prediction
Discovery of Relation Axioms from the Web
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction
Signal Embeddings for Complex Logical Reasoning in Knowledge Graphs
Adversarial Cycle-Consistent Autoencoder for Category-Aware Out-of-Town Recommendation
Data Driven Rank Ordering and Its Application to Financial Portfolio Construction
Automatic Collecting Technique of Low Frequency Electromagnetic Signals and Its Application in Earthquake Study
Zunna - The Browser Extension for Protecting Personal Data
Are GPT Embeddings Useful for Ads and Recommendation?
IDML: IDentifier-Based Markup Language for Resource-Constrained Smart Objects in WoT
Proof Explanation for the Semantic Web Using Defeasible Logic
Privacy-Preserving Deep Learning in Internet of Healthcare Things with Blockchain-Based Incentive
Entity Linking Based on Graph Model and Semantic Representation
Adaptive Density Peak Clustering with Optimized Border-Peeling
Depth State Space Model for Light Field Depth Estimation via Text-Similar Representation
Adversarial Constraint Evaluation on Biomedical Text Mining
A Knowledge-Transfer System Integrating Workflow, A Rule Base, Domain Ontologies and a Goal Tree
Multi-layer Attention Social Recommendation System Based on Deep Reinforcement Learning
Fine-Tuned Transformer Model for Sentiment Analysis
An Edge Trajectory Protection Approach Using Blockchain
Hardware and Software Co-design for Soft Switch in ViT Variants Processing Unit
Fusion of Static and Temporal Information for Threat Evaluation in Sensor Networks
Implicit Offensive Speech Detection Based on Multi-feature Fusion
A Subset Space Perspective on Agents Cooperating for Knowledge
CombDE: Direct-Distillation Combined with Self-distillation for Knowledge Graph Embeddings
Detecting SDCs in GPGPUs Through an Efficient Instruction Duplication Mechanism
A Legal Multi-Choice Question Answering Model Based on BERT and Attention
An Emotion-Aware Human-Computer Negotiation Model Powered by Pretrained Language Model
Robotic Pushing and Grasping Knowledge Learning via Attention Deep Q-learning Network
Towards Extracting Ontology Excerpts
A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation
GSC-SAGE: A Generative Subgraph Contrastive Framework for Encrypted Traffic Detection
Application of Probabilistic Process Model for Smart Factory Systems
A Grasping System with Structured Light 3D Machine Vision Guided Strategy Optimization
Aggregately Regularized Multi-task Matrix Factorization for Household Energy Breakdown
Contrastive Learning for Money Laundering Detection: Node-Subgraph-Node Method with Context Aggregation and Enhancement Strategy
SCCF Parameter and Similarity Measure Optimization and Evaluation
Knowledge Science, Engineering and Management - 11th International Conference, KSEM 2018, Changchun, China, August 17-19, 2018, Proceedings, Part I
Memory-Enhanced Transformer Adaptive Graph Convolutional Recurrent Network for Traffic Flow Forecasting
Increasing Topic Coherence by Aggregating Topic Models
BackdoorHunter: Poisoned Training Data Removal via Contrastive Responses Under Pruned Models
A Multimodal Feature Fusion Method for Analyzing Children's Interests
TIEBN: An Eigenvalue-Driven Blockchain Network for Anomaly Detection
A Multi-source Temporal Graph Approach for Reliable Market Forecasting with LLM Synergy
Collaborative Embedding for Knowledge Tracing
Chinese Named Entity Recognition Based on Gated Graph Neural Network
A Microblog Recommendation Algorithm Based on Multi-tag Correlation
Optimization Strategies for Knowledge Graph Based Distractor Generation
CIFEF: Combining Implicit and Explicit Features for Friendship Inference in Location-Based Social Networks
Background Knowledge Integration in Clustering Using Purity Indexes
A Diagrammatic Reasoning System for ALC
The Double-Level Default Description Logic D 3 L
AutoLabel: Automated Textual Data Annotation Method Based on Active Learning and Large Language Model
Interactive Visualization in Knowledge Discovery for Academic Evaluation and Accreditation
Deep User Multi-interest Network for Click-Through Rate Prediction
Named Entity Recognition in Biology Literature Based on Unsupervised Domain Adaptation Method
Robust Sequence Embedding for Recommendation
A Concept for Generating Business Process Models from Natural Language Description
Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention
A Joint Client-Server Watermarking Framework for Federated Learning
Partially Observable Reinforcement Learning for Sustainable Active Surveillance
A Multi-label Active Learning Approach for Mobile App User Review Classification
Finetuned YOLOv3 for Getting Four Times the Detection Speed
Towards a Wrapper-Driven Ontology-Based Framework for Knowledge Extraction
Distributed Knowledge Management Based on Ontological Engineering and Multi-Agent System Towards Semantic Interoperation
Research on Intelligent Classification Algorithm for Attack Detection Based on Pre-trained Fusion Network with Bimodal Features
Combining Knowledge with Attention Neural Networks for Short Text Classification
Node-Image CAE: A Novel Embedding Method via Convolutional Auto-encoder and High-Order Proximities
An Extension Rule Based First-Order Theorem Prover
Knowledge Science, Engineering and Management - 8th International Conference, KSEM 2015, Chongqing, China, October 28-30, 2015, Proceedings
AABC: ALBERT-BiLSTM-CRF Combining with Adapters
Recognizing Character-Matching CAPTCHA Using Convolutional Neural Networks with Triple Loss
Document-Improved Hierarchical Modular Attention for Event Detection
Importance-Based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation
Personalized Learning Resource Recommendation Framework Based on Knowledge Graph and Large Language Model
Learning Dependency Model for AMP-Activated Protein Kinase Regulation
Software and Hardware Fusion Multi-Head Attention
Topic and Reference Guided Keyphrase Generation from Social Media
Towards a Framework for Trusting the Automated Learning of Social Ontologies
Recent Progress on Text Summarisation Based on BERT and GPT
A New Emotion Classification Method Based on JAN-VMD
KEEN: Knowledge Graph-Enabled Governance System for Biological Assets
An Effective Hybrid Fraud Detection Method
Cross Transformer Network for Scale-Arbitrary Image Super-Resolution
An ICA-Based Multivariate Discretization Algorithm
Subject Knowledge Entity Relationship Extraction Based on Multi-feature Fusion and Relation Specific Horns Tagging
A Systematic Approach for Maintainable Business Process Models
Investigating the Impact of Product Contours on User Perception of Product Attributes
GDCRN: Global Diffusion Convolutional Residual Network for Traffic Flow Prediction
Knowledge Concept Recommender Based on Structure Enhanced Interaction Graph Neural Network
Blockchain-Based Privacy-Preserving Medical Data Sharing Scheme Using Federated Learning
Active Learning for Low-Resource Project-Specific Code Summarization
A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking
Preserving Multi-view Consistency in Diagrammatic Knowledge Representation
A Deep Network Based on Multiscale Spectral-Spatial Fusion for Hyperspectral Classification
Improved Performance of GANs via Integrating Gradient Penalty with Spectral Normalization
Temporal Repetition Counting Based on Multi-stride Collaboration
Topological Graph Representation Learning on Property Graph
A Chinese Time Ontology
Belief Revision over Infinite Propositional Language
Selection of Materialized Relations in Ontology Repository Management System
Live-Stream Identification Based on Reasoning Network with Core Traffic Set
Top Personalized Reviews Set Selection Based on Subject Aspect Modeling
An Improved Multi-agent Epistemic Planner via Higher-Order Belief Change Based on Heuristic Search
Tackling Solitary Entities for Few-Shot Knowledge Graph Completion
Construction of Concept Lattices Based on Indiscernibility Matrices
A New Domain Adaptation Method Based on Rules Discovered from Cross-Domain Features
The IT-Socket: Model-Based Business and IT Alignment
Blockchain-as-a-Service Powered Knowledge Graph Construction
Knowledge Science, Engineering and Management - 14th International Conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, Proceedings, Part III
EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification
On Optimization of Predictions in Ontology-Driven Situation Awareness
Cost-Time Sensitive Decision Tree with Missing Values
Navigability of Hierarchical-Tag-Based Folksonomies
Logits Poisoning Attack in Federated Distillation
SocioSupplyAlert: Comprehensive Supply Chain Crisis Prediction Using LLMs and Social Media Data
MTN-Net: A Multi-Task Network for Detection and Segmentation of Thyroid Nodules in Ultrasound Images
Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks
The Model-Driven Enterprise Data Fabric: A Proposal Based on Conceptual Modelling and Knowledge Graphs
Leveraging User Preferences for Community Search via Attribute Subspace
Users Personalized Sketch-Based Image Retrieval Using Deep Transfer Learning
Fuzzy Gravitational Search Approach to a Hybrid Data Model Based Recommender System
A Resource Recommendation Method Based on User Taste Diffusion Model in Folksonomies
Seeds Selection for Influence Maximization Based on Device-to-Device Social Knowledge by Reinforcement Learning
An Engineerable Ontology Based Approach for Requirements Elicitation in Process Centered Problem Domain
Text to Image Synthesis Using Two-Stage Generation and Two-Stage Discrimination
Named Entity Recognition in Traditional Chinese Medicine Clinical Cases Combining BiLSTM-CRF with Knowledge Graph
Enhancing Cluster Center Identification in Density Peak Clustering
Urban Traffic Flow Prediction Using a Gradient-Boosted Method Considering Dynamic Spatio-Temporal Correlations
Cross-CAM: Focused Visual Explanations for Deep Convolutional Networks via Training-Set Tracing
Intellectual Capital and Boundary-Crossing Management Knowledge
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy
A Framework of Data Fusion Through Spatio-Temporal Knowledge Graph
The Study of Named Entity Identification in Chinese Electronic Medical Records Based on Multi-tasking
Univariate Time Series Forecasting via Interactive Learning
Knowledge Reduction in Incomplete Systems Based on gamma -Tolerance Relation
Two Applications of Computer-Aided Theorem Discovery and Verification
Candidate-Aware Attention Enhanced Graph Neural Network for News Recommendation
Location-Interest-Aware Community Detection for Mobile Social Networks Based on Auto Encoder
Information Diffusion Prediction with Personalized Graph Neural Networks
Towards Effective Top-k Location Recommendation for Business Facility Placement
Effective Large Scale Ontology Mapping
Verifiable Fine-Grained Federated Unlearning
A Partitioning Algorithm for Solving Capacitated Arc Routing Problem in Ways of Ranking First Cutting Second
Entity Alignment Between Knowledge Graphs Using Entity Type Matching
EFCC-IeT: Cross-Modal Electronic File Content Correlation via Image-Enhanced Text
Modularizing Spatial Ontologies for Assisted Living Systems
Data Clustering by Scaled Adjacency Matrix
An Adversarial Training Method for Improving Model Robustness in Unsupervised Domain Adaptation
Understanding Knowledge Management in Agile Software Development Practice
Automatic Construction of Generalization Hierarchies for Publishing Anonymized Data
Facilitating Experience Reuse: Towards a Task-Based Approach
Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation
Earthquake Prediction Based on Levenberg-Marquardt Algorithm Constrained Back-Propagation Neural Network Using DEMETER Data
DynaKiteQuery: Top-K Closest-Vertex Queries on Dynamic Attributed Knowledge Graphs for IIoT Applications
Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs
Handling Contradictions in Default Theories
Dual Sum-Product Networks Autoencoding
A Service-Oriented Group Awareness Model and Its Implementation
An Online GPS Trajectory Data Compression Method Based on Motion State Change
A Shallow Semantic Parsing Framework for Event Argument Extraction
FedBCE: Rethinking Clustered Federated Learning for Better Clustering Efficiency
A Method for Merging Cultural Logic Systems
Black-Box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge
Distant Supervised Relation Extraction on Pre-train Model with Improved Multi-label Attention Mechanism
Implicit and Explicit Trust in Collaborative Filtering
Knowledge Graphs Meet Geometry for Semi-supervised Monocular Depth Estimation
Tram Air Conditioning Fault Prediction Using Machine Learning
The Core Elements of Corporate Knowledge Management and Their Reflection in Research and Practice - The Case of Knowledge Management Systems
GA-MEPS: Multiple Experts Portfolio Selection Based on Genetic Algorithm
Measuring the Diversity and Dynamics of Mobility Patterns Using Smart Card Data
An Ontology-Based Semantic Web Service Space Organization and Management Model
Chinese Judicial Summarising Based on Short Sentence Extraction and GPT-2
Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training
KnowReQA: A Knowledge-aware Retrieval Question Answering System
Similarity-Based Heterogeneous Graph Attention Network for Knowledge-Enhanced Recommendation
Correction to: A Distributed Topic Model for Large-Scale Streaming Text
A Formalism for Causal Explanations with an Answer Set Programming Translation
PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning
RGCN: Recurrent Graph Convolutional Networks for Target-Dependent Sentiment Analysis
SNAFA-Net: Squared Normalization Attention and Feature Alignment for Visible-Infrared Person Re-Identification
Knowledge-Driven Backdoor Removal in Deep Neural Networks via Reinforcement Learning
CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-Start Problem of Recommendation
Interval-Index: A Scalable and Fast Approach for Reachability Queries in Large Graphs
Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction
Multi-relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm
Knowledge Technologies for the Social Semantic Desktop
Knowledge Update in a Knowledge-Based Dynamic Scheduling Decision System
Identity Conditions for Ontological Analysis
A Clustering-Prediction Pipeline for Customer Churn Analysis
Propagation of Random Perturbations under Fuzzy Algebraic Operators
Graph-Based Query-Focused Multi-document Summarization Using Improved Affinity Graph
A Probability Model for Related Entity Retrieval Using Relation Pattern
HRTC: A Triplet Joint Extraction Model Based on Cyber Threat Intelligence
A Graph Attentive Network Model for P2P Lending Fraud Detection
Intelligent Graphical User Interface for Managing Resource Knowledge in Cyber Physical Systems
Dynamic Embedding Graph Attention Networks for Temporal Knowledge Graph Completion
An Ordinal Multi-class Classification Method for Readability Assessment of Chinese Documents
Digitalizing Seismograms Using a Neighborhood Backtracking Method
Static, Dynamic and Semantic Dimensions: Towards a Multidisciplinary Approach of Social Networks Analysis
A Robust Representation with Pre-trained Start and End Characters Vectors for Noisy Word Recognition
A Reinforcement Learning-Based Approach for Continuous Knowledge Graph Construction
A Speaker Based Unsupervised Speech Segmentation Algorithm Used in Conversational Speech
Knowledge Merging under Multiple Attributes
TRIAD: A Tool-Responsive Instruction-Aligned Framework for Domain-Specific Problem Solving
Models in Knowledge Management
Deep Learning and Machine Learning-Based Approaches to Inferring Social Media Network Users' Interests from a Missing Data Issues
Exploiting Tri-types of Information for Attributed Network Embedding
A Rating Prediction Model Based on Knowledge Modeling
Classification of Heads in Multi-head Attention Mechanisms
Concept Commons Enhanced Knowledge Graph Representation
Strict Subspace and Label-Space Structure for Domain Adaptation
Two Dependency Modeling Approaches for Business Process Adaptation
Improved Evolution Algorithm that Guides the Direction of Individual Mutation for Influence Maximization in Social Networks
PAformer: Transformer with Learnable Period Detection and Periodic Attention for Multivariate Time Series
Efficient Network Representations Learning: An Edge-Centric Perspective
Representation and Reasoning on RBAC: A Nonmonotonic Approach
Coming Upon the Classic Notion of Implicit Knowledge Again
Consistent Ontologies Evolution Using Graph Grammars
DFDS: Data-Free Dual Substitutes Hard-Label Black-Box Adversarial Attack
Resource Optimization for FPGA-Based SM9 Digital Signature Algorithm
Imputing Missing Values for Mixed Numeric and Categorical Attributes Based on Incomplete Data Hierarchical Clustering
Incremental Distributed Weighted Class Discriminant Analysis on Interval-Valued Emitter Parameters
An Approach to Knowledge Transferring in Science-Policy Process
Graph Attention Mechanism with Cardinality Preservation for Knowledge Graph Completion
A Flexible Generative Model for Joint Label-Structure Estimation from Multifaceted Graph Data
Knowledge Science, Engineering and Management - 11th International Conference, KSEM 2018, Changchun, China, August 17-19, 2018, Proceedings, Part II
Multi-table Question Answering Method Based on Correlation Evaluation and Precomputed Cube
Modes-Based-Analysis of Knowledge Transfer in the Organizations
Hybrid Kolmogorov-Arnold and Graph Attention Networks for Gold Price Forecasting Under Uncertainty
Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendation
Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective
Detection Method for Prompt Injection by Integrating Pre-trained Model and Heuristic Feature Engineering
Streaming Hierarchical Clustering for Emerging New Class
Recognizing Diseases from Physiological Time Series Data Using Probabilistic Model
Category-Level Adversarial Network for Cross-Domain Sentiment Classification
Scale Margin Loss for Object Detection
A Dual Fusion Model for Attributed Network Embedding
Construction and Analysis of Cross-Regional Emergency Collaboration Network Model
A Distributed Topic Model for Large-Scale Streaming Text
Integration of Descriptors for Software Component Retrieval
Reasoning of Causal Direction in Linear Model Based on Spearman's Rank Correlation Coefficient
Closed-Loop Product Lifecycle Management Based on a Multi-agent System for Decision Making in Collaborative Design
MMFI_DSSW - A New Method to Incrementally Mine Maximal Frequent Itemsets in Transaction Sensitive Sliding Window
Relating the Opinion Holder and the Review Accuracy in Sentiment Analysis of Tourist Reviews
Matching Ancient Dunhuang Manuscripts Based on Multi-dimensional Feature Fusion
Linguistic Knowledge Representation and Automatic Acquisition Based on a Combination of Ontology with Statistical Method
Efficient Affinity Propagation Clustering Based on Szemerédi's Regularity Lemma
A Blockchain Based Framework for Smart Greenhouse Data Management
A Method for Evaluating the Knowledge Transfer Ability in Organization
Neuro-Genetic System: A Hybrid System of CNN-BiLSTM Optimized by Genetic Algorithm for Road Accident Severity Prediction
Function Design of Ancient Books Repairing Archives Management System Based on Tacit Knowledge
A Social Relationships Enhanced Credit Risk Assessment Approach
KSRL: Knowledge Selection Based Reinforcement Learning for Knowledge-Grounded Dialogue
MFTP: Multi-round Feedback for Dynamic Travel Itinerary Optimization
Leveraging Term Co-occurrence Distance and Strong Classification Features for Short Text Feature Selection
Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix
Research on Blockchain-Based Trustworthy Data Sharing and Privacy Data Protection Mechanism
Towards a Modular Ontology for Cloud Consumer Review Mining
Combining Bottom-Up and Top-Down Generation of Interactive Knowledge Maps for Enterprise Search
Inconsistency Handling for Partially Preordered Ontologies: Going Beyond Elect
Size-Constrained Clustering Using an Initial Points Selection Method
Providing Service-Connectivity in Delay Tolerant Networks
A Web-Based Ontology Evaluation System
A Research for Web Service Quality Presentation Methodology for SOA Framework
The Design of Remote Vehicle Management System Based on OMA DM Protocol and AUTOSAR S/W Architecture
Topic-Based Vietnamese News Document Filtering in the BioCaster Project
Chinese FrameNet and OWL Representation
Influencing Factors on the Evolution of User Created Content Based on Meta Analysis
Web Services Registry Implementation for Processing Quality of Service
Semantic Feature-Based Korean Classifier Module for MT Systems