yusuke1997/dblp-id-title huggingface dataset:
SIE-YOLOv5: Improved YOLOv5 for Small Object Detection in Drone-Captured-Scenarios
Research on Resultative/Directional Structures Based on the Corpus of International Chinese Textbooks
Syntax-Aware Sentence Matching with Graph Convolutional Networks
Spotlight on Video Piracy Websites: Familial Analysis Based on Multidimensional Features
Review of Knowledge Management Models for Implementation within Advanced Product Quality Planning
Constructing and Mapping Fuzzy Thematic Clusters to Higher Ranks in a Taxonomy
Subtopic-Level Sentiment Analysis of Emergencies
Incorporating Common Knowledge and Specific Entity Linking Knowledge for Machine Reading Comprehension
Implementing Large-Scale ABox Materialization Using Subgraph Reasoning
A Comparative Analysis for Detecting Seismic Anomalies in Data Sequences of Outgoing Longwave Radiation
A Modeling Procedure for Information and Material Flow Analysis Comprising Graphical Models, Rules and Animated Simulation
ARMICA-Improved: A New Approach for Association Rule Mining
Fast Subsumption Between Rooted Labeled Trees
Exploring Latent Bundles from Social Behaviors for Personalized Ranking
Data-Driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel
TRVP: Transformer-VAE Framework for 3D Point Cloud Instance Segmentation
A Property-Based Method for Acquiring Commonsense Knowledge
Knowledge and Ontology Engineering for Smart Services
DISEL: A Language for Specifying DIS-Based Ontologies
Community Detection in Dynamic Networks: A Novel Deep Learning Method
Hypergraph-Based Academic Paper Recommendation
The Impact of Latency on Online Classification Learning with Concept Drift
Community Outlier Based Fraudster Detection
District-Coupled Epidemic Control via Deep Reinforcement Learning
Prompt Based CVAE Data Augmentation for Few-Shot Intention Detection
IIU: Independent Inference Units for Knowledge-Based Visual Question Answering
Knowledge-Based Intelligent Engineering Systems in Defence and Security
Research on a Novel Word Co-occurrence Model and Its Application
NRSA: Neural Recommendation with Summary-Aware Attention
A Hybrid Method Combing Reinforcement Learning and Heuristics in Solving Two-Echelon Vehicle Routing Problem with Backhauls
Combination of Two KM Strategies by Web 2.0
Cascade Sampling via Dual Uncertainty for Active Entity Alignment
Automated Mining and Checking of Formal Properties in Natural Language Requirements
ACL: Adaptive Chunking of Large Language Models for Efficient Inference on Automotive Edge Devices
Research on Detection and Reconstruction of Multiple Types of Anomalies in Wind Speed-Power Data of Wind Farms
Quantitative Analysis Academic Evaluation Based on Attenuation-Mechanism
An In-Context Schema Understanding Method for Knowledge Base Question Answering
On Undecidability of Cyclic Scheduling Problems
ICKEM: A Tool for Estimating One's Understanding of Conceptual Knowledge
TroBo: A Novel Deep Transfer Model for Enhancing Cross-Project Bug Localization
NFTMosaic: Piecing Together Assets in a Unified Blockchain Token
The Failure Prediction of Cluster Systems Based on System Logs
KPD: An Investigation into the Usability of Knowledge Portal in DMAIC Knowledge Management
A Session Recommendation Model Based on Heterogeneous Graph Neural Network
SRViT-MCNet: An IoT Malware Classification Model
Variational Loss of Random Sampling for Searching Cluster Number
Hyper Tableaux - The Third Version
Learning Dynamic Pricing Rules for Flight Tickets
GADN: GCN-Based Attentive Decay Network for Course Recommendation
Automatically Constructing Concept Hierarchies of Health-Related Human Goals
Multi-path Based Self-adaptive Cross-lingual Summarization
STM: An Improved Peak Price Tracking-Based Online Portfolio Selection Algorithm
A Conceptual Reference Model of Modeling and Verification Concepts for Hybrid Systems
A Multifactorial Evolutionary Algorithm Based on Model Knowledge Transfer
Retweet Prediction Using Context-Aware Coupled Matrix-Tensor Factorization
LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning
Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization
Typed Category Theory-Based Micro-view Emergency Knowledge Representation
TKSP: Long-Term Stance Prediction for Social Media Users by Fusing Time Series Features and Event Dynamic Evolution Knowledge
A Semantic Technology Supported Precision Agriculture System: A Case Study for Citrus Fertilizing
MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning
Scalable Attack on Graph Data by Important Nodes
Social-Aware and Sequential Embedding for Cold-Start Recommendation
MCSN: Multi-graph Collaborative Semantic Network for Chinese NER
Chinese Relation Extraction with Flat-Lattice Encoding and Pretrain-Transfer Strategy
HG-GIN: Double Layer Attention Graph Isomorphism Network Based on Hybrid Neighborhood
Knowledge Science, Engineering and Management - 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part IV
Ontology Languages and Engineering
Overview of Generation Methods for Business Process Models
Graph Representation-Aware Online Aggregations over Knowledge Graph
Two Approaches to Iterated Belief Contraction
A Study of Distributed Semantic Representations for Automated Essay Scoring
Group Outlying Aspects Mining
Logit Adjustment with Normalization and Augmentation in Few-Shot Named Entity Recognition
i-Shield: A System to Protect the Security of Your Smartphone
Extracting Knowledge from Web Tables Based on DOM Tree Similarity
Spatio-Temporal Decoupled Neural Radiance Fields for High Fidelity Dynamic View Synthesis
Formal Modeling of Airborne Software High-Level Requirements Based on Knowledge Graph
Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds
MIAC: A Mobility Intention Auto-Completion Model for Location Prediction
An Evaluation Metric for Prediction Stability with Imprecise Data
Topic Extraction of Events on Social Media Using Reinforced Knowledge
Exploring Cyber-Security Issues in Vessel Traffic Services
HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part I
Beyond Laplacian Smoothing for Semi-supervised Community Detection
Towards Scalable Instance Retrieval over Ontologies
System Dynamics Modeling of Diffusion of Alternative Fuel Vehicles
Fusion High-Order Information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection
FATDyG: A Dynamic Network Link Prediction Framework for Time, Space, and Frequency Awareness
PEN4Rec: Preference Evolution Networks for Session-Based Recommendation
Collaborative Filtering via Different Preference Structures
Semi-supervised Microblog Clustering Method via Dual Constraints
Person Re-identification by Unsupervised Color Spatial Pyramid Matching
Building Relationships and Negotiating Agreements in a Network of Agents
Event Detection Based on Multilingual Information Enhanced Syntactic Dependency GCN
Knowledge Structure-Aware Graph-Attention Networks for Knowledge Tracing
Toward Formalizing Usefulness in Propositional Language
ReVFed: Representation-Based Privacy-Preserving Vertical Federated Learning with Heterogeneous Models
A Graphical Model for Risk Analysis and Management
An Interpretability Algorithm of Neural Network Based on Neural Support Decision Tree
Improving Low-Resource Chinese Event Detection with Multi-task Learning
Semantic Information Extraction with Language Models for Zero-Day Attack Detection
EMRM: Enhanced Multi-source Review-Based Model for Rating Prediction
Model Checking (k, d)-Markov Chain with ipLTL
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part I
Robust Few-Shot Graph Anomaly Detection via Graph Coarsening
Object Detection by Combining Deep Dilated Convolutions Network and Light-Weight Network
Design of a Scalable Reasoning Engine for Distributed, Real-Time and Embedded Systems
A Large Language Model Agent-Guided Multi-agent System for Adaptive Traffic Signal Control
Dealing with Over-Reliance on Background Graph for Few-Shot Knowledge Graph Completion
Combining Topological and Directional Information: First Results
Knowledge Science, Engineering and Management - 12th International Conference, KSEM 2019, Athens, Greece, August 28-30, 2019, Proceedings, Part I
Implicit Rating Methods Based on Interest Preferences of Categories for Micro-Video Recommendation
Toward Patterns for Collaborative Knowledge Creation
A Deep Correlation Feature Extraction Network: Intelligent Description of Bearing Fault Knowledge for Zero-Sample Learning
Towards Better Personalization: A Meta-Learning Approach for Federated Recommender Systems
A Description Method of Ontology Change Management Using Pi-Calculus
A Deep Learning Model Based on Neural Bag-of-Words Attention for Sentiment Analysis
Residual Gated Recurrent Unit-Based Stacked Network for Stock Trend Prediction from Limit Order Book
Research on Key Node Cluster Identification Algorithm Based on Louvain and Cycle Ratio
Mask-Guided Visual Text Transformer for Radiology Reports Representation Learning
AgriBERT: A Joint Entity Relation Extraction Model Based on Agricultural Text
Optimized DFA-Based URL Filtering for P4 Programmable Switches
The New Adaptive ETLBO Algorithms with K-Armed Bandit Model
Attending to SPARQL Logs for Knowledge Representation Learning
Defense of Word-Level Adversarial Attacks via Random Substitution Encoding
Learning a Subclass of Deterministic Regular Expression with Counting
Event-centric Tourism Knowledge Graph - A Case Study of Hainan
Attention Based Short-Term Metro Passenger Flow Prediction
Uncertain k-Center Clustering, Revisited: Point Assignment
Role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks
Insider Threat Defense Strategies: Survey and Knowledge Integration
Observation-Based Logic of Knowledge, Belief, Desire and Intention
Performance Enhancement Strategies for Node Classification Based on Graph Community Structure Recognition
Building Conceptual Knowledge for Managing Learning Paths in e-Learning
CUT: A Combined Approach for Tag Recommendation in Software Information Sites
Extracting Features for Verifying WordNet
Link Prediction Based on Deep Global Information in Heterogeneous Graph
Change Detection Using L 0 Smoothing and Superpixel Techniques
FedPS: Model Aggregation with Pseudo Samples
MSSA-FL: High-Performance Multi-stage Semi-asynchronous Federated Learning with Non-IID Data
ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning
A Hierarchical Neural Task Scheduling Algorithm in the Operating System of Neuromorphic Computers
Long and Short Term Risk Control for Online Portfolio Selection
L2R-Nav: A Large Language Model-Enhanced Framework for Robotic Navigation
Novel Approaches for Shop Recommendation in Large Shopping Mall Scenario: From Matrix Factorization to Tensor Decomposition
Service Area Vehicle Flow Prediction Model for Highway Service Areas Based on Gravity Model Quadratic Assignment
Recommendation Algorithm Based on Refined Knowledge Graphs and Contrastive Learning
Spatiotemporal Dependence Learning with Meteorological Context for Transportation Demand Prediction
A Study of Event Multi-triple Extraction Methods Based on Edge-Enhanced Graph Convolution Networks
A Timeline Representation for the Jade Rabbit Rover
Traffic Accident Prediction Methods Based on Multi-factor Models
Chinese Text Classification via Bidirectional Lattice LSTM
AD 2 -pFed: Personalized Federated Learning Based on Adaptive Bilateral Distillation with Diffusion Models
Agent-Based Approach for Inventory Pre- and Post-disruption Decision Support
The Novel Efficient Transformer for NLP
Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management
MOOCRec: An Attention Meta-path Based Model for Top-K Recommendation in MOOC
Multi-objective Beetle Swarmoptimization for Portfolio Selection
From Thinking to Output: Chain-of-Thought and Text Generation Characteristics in Reasoning Language Models
Fuzzy Target-Based Multi-feature Evaluation of Traditional Craft Products
Prediction of Single Nucleotide Mutation Patterns in Microsatellites
Adversarial Attacks on Large Language Models
f- ALC (D)-LTL: A Fuzzy Spatio-Temporal Description Logic
Spy the Lie: Fraudulent Jobs Detection in Recruitment Domain using Knowledge Graphs
DeNoiseFood Dataset with ECAMixDNet: An Efficient Denoising Framework for Complex Textured Food Images
Mining User's Location Intention from Mobile Search Log
Retrieval Result Presentation and Evaluation
An Outline of a Formal Ontology of Genres
A Semantic Textual Similarity Calculation Model Based on Pre-training Model
A Novel Spectral Ensemble Clustering Algorithm Based on Social Group Migratory Behavior and Emotional Preference
Developing Conceptual Modeling Tools Using a DSL
An Event Detection Method Combining Temporal Dimension and Position Dimension
MAST-NER: A Low-Resource Named Entity Recognition Method Based on Trigger Pool
Measuring Conflict Between Possibilistic Uncertain Information Through Belief Function Theory
Debiased Contrastive Loss for Collaborative Filtering
Balancing Between Cognitive and Semantic Acceptability of Arguments
Context-Aware Vectors: A New Method Integrating Personality Into LLMs for Enhanced Sentiment Analysis
DynamicFedPEFT: Efficient Fine-Tuning of Dynamic Federated Parameters for Large Language Models
Contextual Information Augmented Few-Shot Relation Extraction
Building Enhanced Link Context by Logical Sitemap
Transfer Learning with Manifold Regularized Convolutional Neural Network
A Fuzzy Logic Based Model of a Bargaining Game
Beyond the Aggregation of Its Members - A Novel Group Recommender System from the Perspective of Preference Distribution
Detection of Article Qualities in the Chinese Wikipedia Based on C4.5 Decision Tree
An Konwledge-Based Semi-supervised Active Learning Method for Precision Pest Disease Diagnostic
Automated Reliability Analysis of Redundancy Architectures Using Statistical Model Checking
D3N: DGA Detection with Deep-Learning Through NXDomain
MCC: Multi-level Feature and Context-Aware Attention Mechanism with Consistent Distributions for Recipe Retrieval
Subspace Clustering with Feature Grouping for Categorical Data
TCMCoRep: Traditional Chinese Medicine Data Mining with Contrastive Graph Representation Learning
EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation
Different Attack and Defense Types for AI Cybersecurity
Relevant Fact Selection for QA via Sequence Labeling
Fine-Grained Correlation Learning with Stacked Co-attention Networks for Cross-Modal Information Retrieval
Dynamic Rank Correlation Computing for Financial Risk Analysis
A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring
Can LLMs Assist Computer Education? An Empirical Case Study of DeepSeek
Relationship-Aware Hard Negative Generation in Deep Metric Learning
Event Relation Reasoning Based on Event Knowledge Graph
Federated Rank Learning with Dimensionality Reduction and Clustering for Electricity Load Forecasting
Subspace Clustering on Mobile Data for Discovering Circle of Friends
Dynamic, Multi-scale, and Noise-Aware Modeling for Skeleton Action Prediction
Deep Generative Recommendation with Maximizing Reciprocal Rank
Prompt-Based Self-training Framework for Few-Shot Named Entity Recognition
An Argumentative Reasoning Service for Deliberative Agents
Multi-view Locality Preserving Embedding with View Consistent Constraint for Dimension Reduction
Integrated Geologic Terms and Dual Model for Chinese Geological Word Segmentation
A Multifaceted Model for Cross Domain Recommendation Systems
Energy-Based Learning for Preventing Backdoor Attack
Multi-level Contrastive Learning for Commonsense Question Answering
Empirical Discriminative Tensor Analysis for Crime Forecasting
A Cross-Document Coreference Resolution Approach to Low-Resource Languages
Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding
The Short-Term Exit Traffic Prediction of a Toll Station Based on LSTM
ECCKG: An Eventuality-Centric Commonsense Knowledge Graph
Subset Spaces Modeling Knowledge-Competitive Agents
A Time Interval Aware Approach for Session-Based Social Recommendation
A Joint Multi-task Learning Model for Web Table-to-Knowledge Graph Matching
Trust-Distrust Aware Recommendation by Integrating Metric Learning with Matrix Factorization
Integrating Prior Scenario Knowledge for Composition Review Generation
A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries
Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning
Adjusting Class Association Rules from Global and Local Perspectives Based on Evolutionary Computation
MAGNN-GC: Multi-head Attentive Graph Neural Networks with Global Context for Session-Based Recommendation
Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation
Learning Chinese-Japanese Bilingual Word Embedding by Using Common Characters
An Incremental Approach Based on the Coalition Formation Game Theory for Identifying Communities in Dynamic Social Networks
ComPAT: A Compiler Principles Course Assistant
A Multi-View Spatial-Temporal Network for Vehicle Refueling Demand Inference
Imbalanced Web Spam Classification Using Self-labeled Techniques and Multi-classifier Models
A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation
Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning
Feature Interaction Convolutional Network for Knowledge Graph Embedding
Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation
Analyzing Tag Distributions in Folksonomies for Resource Classification
The Category Structure in Wikipedia: To Analyze and Know Its Quality Using K-Core Decomposition
A Label Noise Robust Cross-Modal Hashing Approach
DST: A Deep Urban Traffic Flow Prediction Framework Based on Spatial-Temporal Features
Performance Evaluation of Multi-class Sentiment Classification Using Deep Neural Network Models Optimised for Binary Classification
The Method of Emergency Rescue Program Generation in Civil Aviation Airport of China
PTMA: Pre-trained Model Adaptation for Transfer Learning
Predicting Partners' Behaviors in Negotiation by Using Regression Analysis
A Unified Computation Framework of Lattices in Hierarchical Data Analysis
Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data
DA-NAS: Learning Transferable Architecture for Unsupervised Domain Adaptation
Fourier Enhanced MLP with Adaptive Model Pruning for Efficient Federated Recommendation
Efficient Computation of Multi-feature Data Cubes
Finding the Optimal Users to Mention in the Appropriate Time on Twitter
Deep Neighbor Embedding for Evaluation of Large Portfolios of Variable Annuities
KEAN: Knowledge-Enhanced and Attention Network for News Recommendation
BOWL: Bag of Word Clusters Text Representation Using Word Embeddings
Mixture of Experts Enhanced Heterogeneous Graph Transformer
Representation Learning of Knowledge Graph with Semantic Vectors
Modelling the Interaction Between Objects: Roles as Affordances
Knowledge Preemption and Defeasible Rules
Multi-Agent System for Semantic Web Service Composition
Twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion
End-to-End Multi-task Learning for Allusion Detection in Ancient Chinese Poems
Prototype-Augmented Contrastive Learning for Few-Shot Unsupervised Domain Adaptation
A Multilingual Semantic Similarity-Based Approach for Question-Answering Systems
Sentiment Analysis Based on Deep Learning in E-Commerce
M 3 Net: Multimodal-Feature-Masked Networks for Fake News Detection
Knowledge Science, Engineering and Management - 12th International Conference, KSEM 2019, Athens, Greece, August 28-30, 2019, Proceedings, Part II
Research on Fabric Defect Detection Technology Based on EDSR and Improved Faster RCNN
Ontology-Based Focused Crawling of Deep Web Sources
MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation
Modeling Chinese Ancient Book Catalog
SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence
Tree Based Shape Similarity Measurement for Chinese Characters
RMNS: Robust Hyper-relational Link Prediction Model Based on Multi-level Negative Sampling
Causal Relationship Extraction Combined Boundary Detection and Information Interaction
Interval Occlusion Calculus with Size Information
Knowledge Acquisition for Diagnosis in Cellular Networks Based on Bayesian Networks
DP-MFRNN: Difficulty Prediction for Examination Questions Based on Neural Network Framework
FedDYS: Federated Learning Based on Local Regularization Against Data Heterogeneity
Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification
Mapping Relational Databases to the Semantic Web with Original Meaning
Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss
A Multi-criteria Decision Support System of Water Resource Allocation Scenarios
Improving Transfer Learning in Cross Lingual Opinion Analysis Through Negative Transfer Detection
Video Restoration Using Convolutional Neural Networks for Low-Level FPGAs
Evidential Artificial Immune Recognition System
NexaFusion: Integrating Multi-team Collaboration for High-Impact Outcomes
Ensemble Learning for Customers Targeting
PPBR-FL: A Privacy-Preserving and Byzantine-Robust Federated Learning System
Improved Sublinear Primal-Dual Algorithm for Support Vector Machines
Identifying Dependency Between Secure Messages for Protocol Analysis
Co-anomaly Event Detection in Multiple Temperature Series
A Blockchain-Based Secure ADS-B System
KGESS - A Knowledge Graph Embedding Method Based on Semantics and Structure
A Novel Blemish Detection Algorithm for Camera Quality Testing
Emotion-Aware Knowledge Tracing: Enhancing Student Performance Prediction with Multi-Head Emotional Attention and Dynamic Gating
Constructive Justification Extraction for OWL Ontologies
Concept-Based, Personalized Web Information Gathering: A Survey
A Google-Based Statistical Acquisition Model of Chinese Lexical Concepts
Global Discovery: A Global Graph-RAG Approach for Query-Focused Multimodal Summarization Across Multiple PDF Papers
Metric Embedding Initialization-Based Differentially Private and Explainable Graph Clustering
A Trusted Federated Learning Scheme for Distributed GAN Model Training
Chinese Relation Extraction with Bi-directional Context-Based Lattice LSTM
Co-saliency Detection Based on Superpixel Clustering
Supervised Manifold-Preserving Graph Reduction for Noisy Data Classification
A Comparative Study of Different Pre-trained Language Models for Sentiment Analysis of Human-Computer Negotiation Dialogue
Profit Maximization in Edge-Enabled Multimedia Data Market: A Game-Based Pricing Approach
Enhancing Bug Report Assignment with an Optimized Reduction of Training Set
Enhanced Self-node Weights Based Graph Convolutional Networks for Passenger Flow Prediction
GPS-Based Location Recommendation Using a Belief Network Model
A Biomedical Question Answering System Based on SNOMED-CT
Pre-train Unified Knowledge Graph Embedding with Ontology
Node Embedding over Attributed Bipartite Graphs
Learning Advisor-Advisee Relationship from Multiplex Network Structure
Large-Scale, Exhaustive Lattice-Based Structural Auditing of SNOMED CT
Impact of the Sakoe-Chiba Band on the DTW Time Series Distance Measure for kNN Classification
Alignment-Based Graph Network for Judicial Examination Task
SGCoT: Self-generating Chain-Of-Thought for Discipline Classification
A Link Prediction Method Based on Graph Neural Network Using Node Importance
A Network Embedding-Enhanced Approach for Generalized Community Detection
Developing a Novel Method Based on Orthogonal Polynomial Equation to Approximate the Solution of Agent Based Model for the Immune System Simulation