yusuke1997/dblp-id-title huggingface dataset:
Single Pollutant Prediction Approach by Fusing MLSTM and CNN
Personalized Image Aesthetics Assessment Based on Theme and Personality
English Cloze Test Based on BERT
ANGCN: Adaptive Neighborhood-Awareness for Recommendation
Traffic Route Planning in Partially Observable Environment Using Actions Group Representation
Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation
Assessing Semantic Similarity Between Concepts Using Wikipedia Based on Nonlinear Fitting
Service-Mining Based on Knowledge and Customer Databases
Multi-agent Collaborative Framework with Few-Shot CoT for Threat Detection
CertBA: A Decentralized Authentication Scheme via Blockchain and Dynamic Cryptographic Accumulator
Context Aware Community Formation for MAS-Oriented Collective Adaptive System
Reentrancy Vulnerability Detection Based on Improved Attention Mechanism
Transfer Learning in Large-Scale Short Text Analysis
Predicting User Preferences via Heterogeneous Information Network and Metric Learning
TYG: A Tag-as-You-Go Online Annotation Tool for Web Browsing and Navigation
Q-Learning with Fisher Score for Feature Selection of Large-Scale Data Sets
SPOAHA: Spark Program Optimizer Based on Artificial Hummingbird Algorithm
Discovering the Overlapping and Hierarchical Community Structure in a Social Network
Semiotic Rules Generation and Inferences Reasoning for Movie Documents
When IT Leveraging Competence Meets Uncertainty and Complexity with Social Capital in New Product Development
MMtuning: An Advanced Multi-adapter Framework for Efficient Multimodal Large Language Models Fine-Tuning
Analyzing Topic-Sentiment and Topic Evolution over Time from Social Media
Restricted Four-Valued Logic for Default Reasoning
Generic Ontology Design Patterns: Qualitatively Graded Configuration
Interpretation of Learning-Based Automatic Source Code Vulnerability Detection Model Using LIME
Text Attributed Graph Node Classification Using Sheaf Neural Networks and Large Language Models
NovEA: A Novel Model of Entity Alignment Using Attribute Triples and Relation Triples
Adoption Factors for Crowdsourcing Based Medical Information Platforms
Feature-Aware Attentive Convolutional Neural Network for Sequence Processing
User Story Classification with Machine Learning and LLMs
Integrating Real-Time Entity Resolution with Top-N Join Query Processing
A Hybrid Approach for Learning Markov Equivalence Classes of Bayesian Network
A Survey on Malware Analysis with Large Language Models
Constructing an Ontology for a Research Program from a Knowledge Science Perspective
Domain-Specific Sentence Encoder for Intention Recognition in Large-Scale Shopping Platforms
Optimize Rule Mining Based on Constraint Learning in Knowledge Graph
BS-KGS: Blockchain Sharding Empowered Knowledge Graph Storage
A Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection
An Improved Discretization-Based Feature Selection via Particle Swarm Optimization
APS-PBW: The Analysis and Prediction System of Customer Flow Data Based on WIFI Probes
Answering Complex Questions on Knowledge Graphs
A Metapath-Based Neighborhood Reconstruction Network for Graph Anomaly Detection
Vague Sets and Closure Systems
TGKT-Based Personalized Learning Path Recommendation with Reinforcement Learning
Towards Awareness Services Usage Characterization: Clustering Sessions in a Knowledge Building Environment
Generating Event-Oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM
A Research Study on Running Machine Learning Algorithms on Big Data with Spark
Enhancing the Conciseness of Linked Data by Discovering Synonym Predicates
R-Calculus for the Primitive Statements in Description Logic ALC
Low Redundancy Learning for Unsupervised Multi-view Feature Selection
Taking Levi Identity Seriously: A Plea for Iterated Belief Contraction
Research on Distribution Alignment and Semantic Consistency in the Adversarial Domain Adaptation
Required Knowledge for Delivering Services
Dynamic and Static Feature-Aware Microservices Decomposition via Graph Neural Networks
Enhancing Graph-Based Keywords Extraction with Node Association
A Sequence Transformation Model for Chinese Named Entity Recognition
Distant Domain Adaptation for Text Classification
Agile Query Processing in Statistical Databases: A Process-In-Memory Approach
GraphRAG-KM: An Automated Framework for Transforming Industrial Documents into Ontology and Conceptual Models
Situation-Aware Rating Prediction Using Fuzzy Rules
Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations
Kernel-Based Feature Extraction for Time Series Clustering
RTAD-TP: Real-Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two-Parameter Estimation
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Community Detection Attack Based on Balanced Budget Allocation
A Hybrid Approach for Measuring Semantic Similarity between Ontologies Based on WordNet
A BERT-Based Two-Stage Ranking Method for Legal Case Retrieval
Automatic Data Record Detection in Web Pages
Pairwise-Based Hierarchical Gating Networks for Sequential Recommendation
DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound
Social Bayesian Personal Ranking for Missing Data in Implicit Feedback Recommendation
A Blockchain Transaction Tracking Method Based on Dynamic Graph Link Prediction
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer
A Dynamic Answering Path Based Fusion Model for KGQA
TRSO: A Tourism Recommender System Based on Ontology
Cellular Automata Based on Occlusion Relationship for Saliency Detection
Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction
Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach
How Much Well Does Organizational Knowledge Transfer Work with Domain and Rule Ontologies?
Geo-DETR: Geographical Map Detection Based on Multi-stage Gradient Feature Fusion
Knowledge Management Systems (KMS) Continuance in Organizations: A Social Relational Perspective
ViT Hybrid Channel Fit Pruning Algorithm for Co-optimization of Hardware and Software for Edge Device
Asymmetric Neighboring Context Modeling for Knowledge Graph Embedding
Trust Analysis of Web Services Based on a Trust Ontology
LWMUNet: Enhancing Semantic Segmentation with Learnable Linked Sliding-Window Serialization
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models
P-DBL: A Deep Traffic Flow Prediction Architecture Based on Trajectory Data
A Comparative Analysis Methodology for Process Mining Software Tools
Energy Consumption Prediction Using Bands-Based Data Analytics
Online Knowledge Community: Conceptual Clarification and a CAS View for Its Collective Intelligence
Feature Re-enhanced Meta-Contrastive Learning for Recommendation
Music Genre Classification via Sequential Wavelet Scattering Feature Learning
Context-Aware Spatiotemporal Graph Attention Network for Next POI Recommendation
An Overlapping Microblog Community Detection Method Using New Partition Criterion
Masked Aggregation Learning for Enhancing Distributed Gradient Boosting Decision Trees
A Merging-Based Approach to Handling Inconsistency in Locally Prioritized Software Requirements
Research on Remote Sensing Image Classification Based on Transfer Learning and Data Augmentation
Sequential Recommendation Based on Long-Term and Short-Term User Behavior with Self-attention
A Novel Genetic Algorithm Approach to Improving Error Correction Output Coding
The Modularity of Inconsistent Knowledge Bases with Application to Measuring Inconsistency
DRAM: A Deep Reinforced Intra-attentive Model for Event Prediction
TB-DML4HS: A Task-Based Modeling and Causal Effect Estimation Method Using DML for Heterogeneous UAV Swarm
Discrimination of News Political Bias Based on Heterogeneous Graph Neural Network
Landscape-Enhanced Graph Attention Network for Rumor Detection
An Incentive-Compatible and Efficient Mechanism for Matching and Pricing in Ride-Sharing
An Efficient Hybrid Approach to Detecting and Correcting Auxiliary Word Errors in Chinese Text
Clustering Massive-Categories and Complex Documents via Graph Convolutional Network
Algorithm for Public Transit Trip with Minimal Transfer Times and Shortest Travel Time
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part II
Improving Image Captioning with Image Concepts of Words
An Improved Ultra-Scalable Spectral Clustering Assessment with Isolation Kernel
SERL: Semantic-Path Biased Representation Learning of Heterogeneous Information Network
Si-SEEKER: Ontology-Based Semantic Search over Databases
A Comprehensive Survey on White-Box Security Threats for Large Language Models
A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios
Deep Neural Factorization Machine for Recommender System
PRTIRG: A Knowledge Graph for People-Readable Threat Intelligence Recommendation
Adaptive Retrieval Enhancement for Open-Domain Question Answering
Using Standardized Lexical Semantic Knowledge to Measure Similarity
Tennis Action Recognition Based on Multi-Branch Mixed Attention
An Improved Semantic Link Based Cyber Community Discovery Model on Social Network
A Hybrid RNN-CNN Encoder for Neural Conversation Model
Unsupervised Race Walking Recognition Using Smartphone Accelerometers
Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part I
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part IV
Recognizing the Operating Hand from Touchscreen Traces on Smartphones
Query and Neighbor-Aware Reasoning Based Multi-hop Question Answering over Knowledge Graph
Explainable Recommendation Using Global Preference Paths on Knowledge Graph
Towards Implicit Knowledge Discovery from Ontology Change Log Data
A Novel Initialization Method for Semi-supervised Clustering
Aspect and Opinion Terms Co-extraction Using Position-Aware Attention and Auxiliary Labels
Computing Knowledge-Based Semantic Similarity from the Web: An Application to the Biomedical Domain
Knowledge-Driven Superpixel Shortest Path Optimization for Image Stitching
Information Extraction from Semi-structured Web Documents
Micro-blog Hot Event Detection Based on Dynamic Event Model
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part II
FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-Based Android Malware Classification System
A Perspective of Knowledge Science
Neural Sentiment Classification with Social Feedback Signals
Extracting Prerequisite Relations Among Wikipedia Concepts Using the Clickstream Data
Improved Text-Independent Speaker Identification and Verification with Gaussian Mixture Models
NNDF: A New Neural Detection Network for Aspect-Category Sentiment Analysis
Integrating Blockchain and RSA-Encrypted NFTs for Enhanced Digital Knowledge Management
EGIM: Evolution Graph Based Interest Modeling for Click-Through Rate Prediction
MEOD: A Robust Multi-stage Ensemble Model Based on Rank Aggregation and Stacking for Outlier Detection
Cross-Domain Recommendation for Mapping Sentiment Review Pattern
Knowledge Science, Engineering and Management - 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part I
An Improved YOLOv7 Based Prohibited Item Detection Model in X-Ray Images
MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs
SKG-LLM: Enhancing Large Language Models with Sentiment Knowledge Graphs for Fine-Grained Sentiment Analysis
Dependency Parsing Representation Learning for Open Information Extraction
Multi-Dimensional Graph Rule Learner
Motivation to Innovation - The Driving Force of Reward-Based Organizational Knowledge Management for New Product Development Performance
Visualizing Trends in Knowledge Management
udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge
Additive Noise Model Structure Learning Based on Rank Statistics
Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties
Faster Nonlocal UNet for Cell Segmentation in Microscopy Images
Graph-Based Neural Collaborative Filtering Model for Drug-Disease Associations Prediction
An MLM Decoding Space Enhancement for Legal Document Proofreading
Towards a Software/Knowware Co-engineering
Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery
FOBA: Flight Operation Behavior Analysis Based on Hierarchical Encoding
A Student Performance Prediction Model Based on Feature Factor Transfer
ELS-GDR: Efficient Extraction of Long-Term Sequential Signals for Guiding Diffusion-Based Recommendation
Knowledge Modelling to Support Inquiry Learning Tasks
Extracting Distinctive Shapelets with Random Selection for Early Classification
Super-Resolution for Images with Barrel Lens Distortions
Measuring Formula-Variable Relevance in Four-Valued Logic by Forgetting
Marker-Passing Inference in the Scone Knowledge-Base System
A Nonlinear Dimension Reduction Method with Both Distance and Neighborhood Preservation
Discovery of Jump Breaks in Joint Volatility for Volume and Price of High-Frequency Trading Data in China
Incorporating Question Information to Enhance the Performance of Automatic Short Answer Grading
Multi-sensor Fusion Framework for HAR: Integrating Time-Frequency Features and Self-supervised Learning
An Improved Convolutional Neural Network Based on Noise Layer
Automated Reasoning over Provenance-Aware Communication Network Knowledge in Support of Cyber-Situational Awareness
Populating CRAB Ontology Using Context-Profile Based Approaches
MCAN-BIFT: An IIoT Intrusion Detection System Integrating Multi-scale Feature Enhancement and Transformer
Hierarchical Integration Knowledge Distillation: Enhancing Adversarial Robustness of Student Models via Clean Data Distillation
Semantic Annotation of Videos Based on Mask RCNN for a Study of Animal Behavior
MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification
An Algorithm for Emotion Evaluation and Analysis Based on CBOW
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part IV
Prioritizing Non-functional Concerns in MAMIE Methodology
Enhanced Knowledge Tracing via Imputing Knowledge States
Dual Adversarial Federated Learning on Non-IID Data
Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification
CCDC: A Chinese-Centric Cross Domain Contrastive Learning Framework
A New Multi-objective Evolution Model for Community Detection in Multi-layer Networks
CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation
Improving Deep Item-Based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation
Autonomy: Life and Being
A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds
Course Similarity Calculation Using Efficient Manifold Ranking
User Feedback-Based Counterfactual Data Augmentation for Sequential Recommendation
A Spatio-temporal Neural Network for Medical Insurance Fraud Detection
Auditing and Mapping the Knowledge Assets of Business Processes - An Empirical Study
Edge-Shared GraphSAGE: A New Method of Buffer Calculation for Parallel Management of Big Data Project Schedule
Discovering Stable Ride-Sharing Groups for Commuting Private Car Using Spatio-Temporal Semantic Similarity
Weighted Node Importance Contribution Correlation Matrix for Identifying China's Core Metro Technologies with Patent Network Analysis
Description and Generation of Computational Agents
Time Series Similarity Measure Based on the Function of Degree of Disagreement
Chinese Event Detection Based on Event Ontology and Siamese Network
An Illegal Website Family Discovery Method Based on Association Graph Clustering
A Comparative Study on Representing Units in Chinese Text Clustering
Crowd Label Aggregation Under a Belief Function Framework
Dynamic Asymmetric Contrastive Learning with Adaptive Hard Negative Mining for Resume-Job Matching
String Similarity Join with Different Thresholds
An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark
Knowledge Science, Engineering and Management - 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part II
Towards Solving the Winograd Schema Challenge: Model-Free, Model-Based and a Spectrum in Between
An Ensemble Fuzziness-Based Online Sequential Learning Approach and Its Application
Using Support Vector Machine for Classification of Baidu Hot Word
Weakly Supervised Feature Compression Based Topic Model for Sentiment Classification
A Belief Evolution Model with Non-axiomatic Logic
DVDNER: Dual-View Learning Named Entity Recognition via Diffusion
ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization
An Automatic Spelling Correction Method for Classical Mongolian
GM-Attack: Improving the Transferability of Adversarial Attacks
Model of Intangible Production Network for Competence Development
Sentiment Embedded Semantic Space for More Accurate Sentiment Analysis
Investigation into Auto-scaling Mechanisms in Cloud Computing
Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction
Document-Level Multi-event Extraction via Event Ontology Guiding
TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTM
Construction Research and Applications of Industry Chain Knowledge Graphs
A Chinese Framework of Semantic Taxonomy and Description: Preliminary Experimental Evaluation Using Web Information Extraction
Dividing Traffic Sub-areas Based on a Parallel K-Means Algorithm
Representation Learning in Academic Network Based on Research Interest and Meta-path
A Graph Partitioning Algorithm Based on Graph Structure and Label Propagation for Citation Network Prediction
Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code
An Extended Meta-model for Workflow Resource Model
FedMP: A Multi-prototype Heterogeneous Federated Learning Framework
Lightweight Remote Sensing Tiny Object Detection Model Based on YOLOv8n Architecture
Fuzzy Information Measures Feature Selection Using Descriptive Statistics Data
Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn
DPSPC: A Density Peak-Based Statistical Parallel Clustering Algorithm for Big Data
Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks
An Improved Backtracking Search Algorithm for Constrained Optimization Problems
A New Over-Sampling Approach: Random-SMOTE for Learning from Imbalanced Data Sets
Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion
Multi-modal Face Anti-spoofing Using Channel Cross Fusion Network and Global Depth-Wise Convolution
Graph Ensemble Networks for Semi-supervised Embedding Learning
An Empirical Study on Effect of Semantic Measures in Cross-Domain Recommender System in User Cold-Start Scenario
Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning
An Ontology of Problem Frames for Guiding Problem Frame Specification
A Causality-Based Approach to Assessing Inconsistency for Multi-context Systems
Web Data Extraction from Scientific Publishers' Website Using Hidden Markov Model
Knowledge Graph Embedding with Direct and Disentangled Neighborhood Representation Attention Network
Hashtag Biased Ranking for Keyword Extraction from Microblog Posts
AutoIDL: Automated Imbalanced Data Learning via Collaborative Filtering
Combining Knowledge Graphs with Semantic Similarity Metrics for Sentiment Analysis
Rumor Verification on Social Media with Stance-Aware Recursive Tree
A Knowledge Based System of Principled Negotiation for Complex Business Contract
Privacy-Preserving Shortest Path Queries on Encrypted Attributed IIoT Graphs
LogRank: An Approach to Sample Business Process Event Log for Efficient Discovery
A Text Annotation Tool with Pre-annotation Based on Deep Learning
An Incremental Learning Network Model Based on Random Sample Distribution Fitting
Answer-Focused and Position-Aware Neural Network for Transfer Learning in Question Generation
Template Shift and Background Suppression for Visual Object Tracking
Learning Continuous User and Item Representations for Neural Collaborative Filtering
Programming Knowledge Tracing with Context and Structure Integration
Evolution Analysis of Modularity-Based Java System Structure
Research on Fair Use of Digital Content in Social Network
Conf-UNet: A Model for Speculation on Unknown Oracle Bone Characters
Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network
A New Epistemic Logic Model of Regret Games
Global Context Enhanced Multi-granularity Intent Networks for Session-Based Recommendation
Ride-Sharing Matching of Commuting Private Car Using Reinforcement Learning
Combining BERT and Multiple Embedding Methods with the Deep Neural Network for Humor Detection
Cost-Sensitive Classification with k-Nearest Neighbors
Measuring KM Success and KM Service Quality with KnowMetrix - First Experiences from a Case Study in a Software Company
HEAM: Heterogeneous Network Embedding with Automatic Meta-path Construction
Knowledge-Aware Self-Attention Networks for Document Grounded Dialogue Generation
Knowledge Contribution in the Online Virtual Community: Capability and Motivation
Hierarchical Multi-label Text Classification: Self-adaption Semantic Awareness Network Integrating Text Topic and Label Level Information
Investigating Collaboration Dynamics in Different Ontology Development Environments
Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis
CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation Based on CelebA
Debt Detection in Social Security by Adaptive Sequence Classification
fMRI Visual Image Reconstruction Using Sparse Logistic Regression with a Tunable Regularization Parameter
Collection Profiling for Collection Fusion in Distributed Information Retrieval Systems
Sememes-Based Framework for Knowledge Graph Embedding with Comprehensive-Information
A Task-Specific Feature Fusion Strategy For Small Object Detection
Representation Learning of Multiword Expressions with Compositionality Constraint
Enhancing Fundus Image-Based Glaucoma Screening via Dynamic Global-Local Feature Integration
Extracting Short Entity Descriptions for Open-World Extension to Knowledge Graph Completion Models
Leveraging Language Model and Knowledge Tracing for Personalized Question Generation
Traffic Flow Fluctuation Analysis Based on Beijing Taxi GPS Data
Random Virtual Embeddings Bootstrap High-Degree Item Diffusion for Recommendation
Knowware: The Third Star after Hardware and Software
A SOM-Based Technique for a User-Centric Content Extraction and Classification of Web 2.0 with a Special Consideration of Security Aspects
Autoencoder Based Community Detection with Adaptive Integration of Network Topology and Node Contents
A Community-Division Based Algorithm for Finding Relations Among Linear Constraints
Few-Shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering
Ontology Based Opinion Mining for Movie Reviews
A Lightweight Target Detection Algorithm Based on Improved MobileNetv3-YOLOv3
Knowledge Science, Engineering and Management - 6th International Conference, KSEM 2013, Dalian, China, August 10-12, 2013. Proceedings
The Online Market Observatory: A Domain Model Approach
Text-Aware Recommendation Model Based on Multi-attention Neural Networks
A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection
Local Feature Normalization
In-Context Contrastive Learning for Temporal Knowledge Graph Reasoning
An Examination of Talent Management Concepts in Knowledge Intensive Settings
Proposal of Ontology for Resource Matchmaking Schema in Emergency Response Systems