yusuke1997/dblp-id-title huggingface dataset:
Efficient Depth Completion Network Based on Dynamic Gated Fusion
Analyzing and Recommending Development Order Based on Design Class Diagram
Comprehensive Evaluation of Large Language Model Responses: A Multi-factor Scoring System
A Robust Data Watermarking Method Based on Secret Sharing and GAN for Digital Elevation Model
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks
Knowledge Creation Spaces: The Power of Project Teams
LLM-Driven Ontology Learning to Augment Student Performance Analysis in Higher Education
Knowledge Discovery from Academic Search Engine
Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly Detection in a JointCloud Environment
Designing a Model of Driving Scenarios for Autonomous Vehicles
Understand and Assess People's Procrastination by Mining Computer Usage Log
Word Sense Disambiguation Based on Memory Enhancement Mechanism
A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction
Graphical Models with Content Relevance for Crucial Date Detection in Social Media Event
UBS: A Novel News Recommendation System Based on User Behavior Sequence
A Weighted Non-monotonic Averaging Image Reduction Algorithm
Knowledge Integration on Fresh Food Management
An Evidential Semi-supervised Label Aggregation Approach
INDRE: An Interpretable News Driven Risk Evaluation Model
Uncertainty-Aware Prototype Semantic Decoupling for Text-Based Person Search in Full Images
A Novel Method for Highly Imbalanced Classification with Weighted Support Vector Machine
Robust AI-Synthesized Image Detection via Multi-feature Frequency-Aware Learning
FusionMIA: Enhancing Membership Inference Attacks with Spy Clients and Shadow Models in Federated Learning
Explainable Multi-type Item Recommendation System Based on Knowledge Graph
Citation Recommendation Based on Knowledge Graph and Multi-task Learning
A Human-Computer Negotiation Model Based on Q-Learning
Proposal of a Method for Creating a BPMN Model Based on the Data Extracted from a DMN Model
Identifying and Supporting Collaborative Architectures
Competence Management in Knowledge-Based Organisation: Case Study Based on Higher Education Organisation
Quotient Space Based Multi-granular Analysis
Generic Model for Adaptable Caching in the Knowledge-Oriented Web Engineering
Small-Scale Data Classification Based on Deep Forest
Forwarding Credible Information in Multi-agent Systems
Extract Knowledge from Web Pages in a Specific Domain
Spatio-Temporal Correlation Graph for Association Enhancement in Multi-object Tracking
KIR: A Knowledge-Enhanced Interpretable Recommendation Method
Automatic Translation in Context-Aware Applications
Research on Ship Classification Based on Trajectory Association
Resisting Catastrophic Recall: Persistent Unlearning via Knowledge Distillation with Feature Suppression
Entity Set Expansion Based on Category Prompts in MOOCs
Connecting Factorization and Distance Metric Learning for Social Recommendations
A Vehicle Value Based Ride-Hailing Order Matching and Dispatching Algorithm
Context-Aware Anomaly Detection in Attributed Networks
Boosting LightWeight Depth Estimation via Knowledge Distillation
DKCER-Agent: Lightweight and Efficient KNN-Enhanced Dynamic Context Optimization for Stepwise Retrieval Augmented Generation
Device-Free Intruder Sensing Leveraging Fine-Grained Physical Layer Signatures
Automatic Construction of a Lexical Attribute Knowledge Base
DNEA: Dynamic Network Embedding Method for Anomaly Detection
Learning a Similarity Metric Discriminatively with Application to Ancient Character Recognition
Community Enhanced Course Concept Recommendation in MOOCs with Multiple Entities
Formalising Knowledge-Intensive Nuclear Fuel Process Models Using Pattern Theory
On Constructing Environment Ontology for Semantic Web Services
StressSentry-FHE: A Transformer-Based Privacy-Preserving Framework for Stress Detection Using Quantized Attention
Centralized Reasoning Translation and Its Computing Complexity for Heterogeneous Semantic Mappings
Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part II
An Improved NN-SVM Based on K Congener Nearest Neighbors Classification Algorithm
Semantic Modeling of Textual Relationships in Cross-modal Retrieval
Distributed Recommendation Algorithm Based on Matrix Decomposition on MapReduce Framework
Seaformer: An Adaptive Forecasting Framework for Multi-source Heterogeneous Ocean Observation Data
Causal Discovery with Bayesian Networks Inductive Transfer
Learning to Infer API Mappings from API Documents
Efficient Transductive Few-Shot Learning with Active Learning for Imbalanced Data
Enhancing Web-Based Adaptive Learning with Colored Timed Petri Net
PromptPilot: Autonomous Prompt Optimization via Genetic Particle Filtering and Dynamic Exploration
A Practical Approach to Extracting Names of Geographical Entities and Their Relations from the Web
Multi-scale Masked Transformer for Robust Point Cloud Registration
Clustering Categorical Sequences with Variable-Length Tuples Representation
Financial FAQ Question-Answering System Based on Question Semantic Similarity
Mining Video Data: Learning about Activities
Dynamic Heterogeneous Graph Neural Network for Personality Detection in Chinese Social Media Texts
Learning Embeddings of API Tokens to Facilitate Deep Learning Based Program Processing
Multi-display Graph Attention Network for Text Classification
TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over Knowledge Graphs
Expert Data - Assisted Diagnosis: An INFO - iTransformer - XGBoost Combined Discriminative System for Prenatal Diagnosis of Fetal Congenital Heart Disease
Contextual Proximity Based Term-Weighting for Improved Web Information Retrieval
Knowledge Science, Engineering and Management - 9th International Conference, KSEM 2016, Passau, Germany, October 5-7, 2016, Proceedings
Alzheimer's Disease Prediction Using EfficientNet and Fastai
Node Centrality Approximation in Complex Networks via Inductive Graph Neural Networks
A Web Tool for Extracting and Viewing the Semantic Markups
The Dual Spatial Connectives of Separation Logic
Knowledge Management and Intellectual Capital in the Logistics Service Industry
CLINER: Clinical Interrogation Named Entity Recognition
A 'Soft' Approach to TLM Requirements Capture to Support Through-Life Management
Representing Belief Function Knowledge with Graphical Models
Maximus-AI: Using Elman Neural Networks for Implementing a SLMR Trading Strategy
TCMEF: A TCM Entity Filter Using Less Text
Low-Quality itDanMu Detection via Eye-Tracking Patterns
GMiRec: A Multi-image Visual Recommendation Model Based on a Gated Neural Network
Convergence Analysis on Approximate Reinforcement Learning
Personalize Review Selection Using PeRView
Argument Ranking with Categoriser Function
Identifying Taxi Commuting Traffic Analysis Zones Using Massive GPS Data
HMM-Based Korean Named Entity Recognition for Information Extraction
Summarizing Product Aspects from Massive Online Review with Word Representation
IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model
Ontology Evaluation through Assessment of Inferred Statements: Study of a Prototypical Implementation of an Ontology Questionnaire for OWL DL Ontologies
Adaptive Entity Alignment for Cross-Lingual Knowledge Graph
A Social Attribute Inferred Model Based on Spatio-Temporal Data
Degree-Aware Embedding and Interactive Feature Fusion-Based Graph Convolution Collaborative Filtering
Gradient Balanced Part-Whole Relational Weakly Supervised Semantic Segmentation
Enhancing Question Embedding with Relation Chain for Multi-hop KGQA
Evaluating GPT's Programming Capability Through CodeWars' Katas
DiVerFed: Distribution-Aware Vertical Federated Learning for Missing Information
Intention Multiple-Representation Model for Logistics Intelligent Customer Service
Evaluating LLMs for Multi-label Text Classification
MSCAN: Multi-scale Context-Aware Network for Multivariate Long-Time Forecasting
Learning Graph Neural Networks on Feature-Missing Graphs
Cross-perspective Graph Contrastive Learning
A Semantic Path-Based Similarity Measure for Weighted Heterogeneous Information Networks
Student Behavior Analysis and Performance Prediction Based on Blended Learning Data
Natural Image Matting with Low-Level Feature Attention Guidance
Towards a Generic Hybrid Simulation Algorithm Based on a Semantic Mapping and Rule Evaluation Approach
Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference
Heavy Weighting for Potential Important Clauses
Exploiting Capacity-Constrained K-Means Clustering for Aspect-Phrase Grouping
Competence-Based Management of Knowledge Workers in Project-Oriented Organizations
A Framework of Data Augmentation While Active Learning for Chinese Named Entity Recognition
Online Programming Education Modeling and Knowledge Tracing
WTPMiner: Efficient Mining of Weighted Frequent Patterns Based on Graph Traversals
Constructing the Shortest ECOC for Fast Multi-classification
A Novel Online Sequential Learning Algorithm for ELM Based on Optimal Control
Multi-receptive-Field Feature Fusion Knowledge Graph Embedding for Link Prediction
Automatic Cerebral Artery System Labeling Using Registration and Key Points Tracking
Detecting Parkinson's Disease According to Gender Using Speech Signals
Extracting Hidden Preferences over Partitions in Hedonic Cooperative Games
Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge
Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection
Accurate and Robust RGB-D Visual Odometry Based on Point and Line Features
DBA: An Efficient Approach to Boost Transfer-Based Adversarial Attack Performance Through Information Deletion
Knowledge Enhanced Zero-Shot Visual Relationship Detection
Distributed Constraint Satisfaction for Urban Traffic Signal Control
Evolving Model of Emergency Planning System in China
DARIS: Dynamic Adaptive Refinement of Interaction Sequence for Sequential Recommendation
A Situation-Aware Method Based on Ontology Analysis of the Semantic Social Network
Relation Prediction Based on Source-Entity Behavior Preference Modeling via Heterogeneous Graph Pooling
Segment-Based Depth Estimation in Light Field Using Graph Cut
MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs
Acoustic Modeling for Indoor Spaces Using Ray-Tracing Method
A Cognitive Knowledge Enriched Joint Framework for Social Emotion and Cause Mining
New Labeling Strategy for Semi-supervised Document Categorization
Linear Algebraic Characterization of Logic Programs
Meta-pruning: Learning to Prune on Few-Shot Learning
MGR: Metric Learning with Graph Neural Networks for Multi-behavior Recommendation
An Effective Gated and Attention-Based Neural Network Model for Fine-Grained Financial Target-Dependent Sentiment Analysis
Causal Encoding Generative Model Based on Attention and KAN
Knowledge Science, Engineering and Management - 14th International Conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, Proceedings, Part I
Irregular Behavior Recognition Based on Two Types of Treading Tracks Under Particular Scenes
An Efficient Link Prediction Model in Dynamic Heterogeneous Information Networks Based on Multiple Self-attention
A Novel Network Intrusion Detection Method for Unbalanced Data in Open Scenarios
Harnessing Heterogeneous Social Networks for Better Group Recommendations: An Integrated Approach Towards Cold-Start Problem
Knowledge Science, Engineering and Management - 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part III
Sentence Compression with Reinforcement Learning
A Neural Language Understanding for Dialogue State Tracking
IMDb30: A Multi-relational Knowledge Graph Dataset of IMDb Movies
Monte Carlo Medical Volume Rendering Denoising via Auxiliary Feature Guided Self-attention and Convolution Integrated
Dynamic Feed-Forward LSTM
WalkToTopics: Inferring Topic Relations from a Feature Learning Perspective
Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification
Enhancing Legal Judgment Prediction in LLMs via Legal Norms Integration
GASKT: A Graph-Based Attentive Knowledge-Search Model for Knowledge Tracing
Customized Decision Tree for Fast Multi-resolution Chart Patterns Classification
DualCBR: Cross-Modal Collaborative Filtering with Bidirectional Alignment for Long-Tail Recommendation
Deriving an Effective Hypergraph Model for Point of Interest Recommendation
Joint Detection of Topic Entity and Relation for Simple Question Answering
A Decoupled YOLOv5 with Deformable Convolution and Multi-scale Attention
TransI: Translating Infinite Dimensional Embeddings Based on Trend Smooth Distance
Representation and Verification of Attribute Knowledge
Incorporating Global Context into Multi-task Learning for Session-Based Recommendation
WWW Information Integration Oriented Classification Ontology Integrating Approach
Meta Learning Based Rumor Detection with Awareness of Social Bot
Sparse Dense Transformer Network for Video Action Recognition
Learning Category Discriminability for Active Domain Adaptation
Striking a Balance in Unsupervised Fine-Grained Domain Adaptation Using Adversarial Learning
CSRA: An Efficient Resource Allocation Algorithm in MapReduce Considering Data Skewness
Knowledge Science, Engineering and Management - 5th International Conference, KSEM 2011, Irvine, CA, USA, December 12-14, 2011. Proceedings
Joint Feature Selection and Classifier Parameter Optimization: A Bio-Inspired Approach
Integrating Task Information into Few-Shot Classifier by Channel Attention
Advancing Domain Adaptation of BERT by Learning Domain Term Semantics
Medication Combination Prediction via Attention Neural Networks with Prior Medical Knowledge
An IoT Ontology Class Recommendation Method Based on Knowledge Graph
Data Association with Graph Network for Multi-Object Tracking
A New Method for Complex Triplet Extraction of Biomedical Texts
CoTSentry: Advanced Network Attack Detection with Chain-of-Thought Reasoning
Disentangled Multi-factor Graph Neural Network for Non-coding RNA-Drug Resistance Association Prediction
A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model
Representing Knowledge Graphs with Gaussian Mixture Embedding
Explainable Knowledge-Based Learning for Online Medical Question Answering
Robust Dynamic Background Model with Adaptive Region Based on T2FS and GMM
System Level Recommender System for Academic Venue Personalization: Multi vs. Linked Domain
A Model for Discovering Unpopular Research Interests
Modelling and Reasoning in Metamodelling Enabled Ontologies
Thematic Analysis of Twitter as a Platform for Knowledge Management
Crafting a Time-Aware Point-of-Interest Recommendation via Pairwise Interaction Tensor Factorization
PVFNet: Point-View Fusion Network for 3D Shape Recognition
The REGEN Model, a LLM-Based Integrated Framework of Retrieval and QA Generation from Plain Texts on International Freight Domain
Attentional Neural Factorization Machines for Knowledge Tracing
Attractors in Web Based Educational Systems a Conceptual Knowledge Processing Grounded Approach
A MOOCs Recommender System Based on User's Knowledge Background
MatSciES: Automated Knowledge Extraction and Summarization from Materials Science Literature with Large Language Models
The Impact of Big Data and Knowledge Management on R&D Projects from Automotive Industry
Applying Triadic FCA in Studying Web Usage Behaviors
Knowledge-Based Process Modelling for Nuclear Inspection
Stability Analysis of Switched Systems
Making Ontology-Based Knowledge and Decision Trees Interact: An Approach to Enrich Knowledge and Increase Expert Confidence in Data-Driven Models
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part V
Stock Price Prediction Using Time Convolution Long Short-Term Memory Network
Developing Diagnostic DSSs Based on a Novel Data Collection Methodology
Sentiment Classification by Combining Triplet Belief Functions
Reversible Data Hiding in Encrypted Images Based on a Multi-Granularity Adaptive Classification Mechanism
A Thesaurus and Online Encyclopedia Merging Method for Large Scale Domain-Ontology Automatic Construction
Development of an Evaluation Approach for Customer Service Interaction Models
SAML: A Structure-Aware Enhanced Meta Learning Framework for Spatio-Temproal Graph Few-Shot Learning
A Distance-Based Paraconsistent Semantics for DL-Lite
Cross-Layer Attack Path Exploration for Smart Grid Based on Knowledge of Target Network
A New K-Multiple-Means Clustering Method
DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification
PlayPhysics: An Emotional Games Learning Environment for Teaching Physics
CKGAC: A Commonsense Knowledge Graph About Attributes of Concepts
AI in Healthcare Data Privacy-Preserving: Enhanced Trade-Off Between Security and Utility
A Knowledge-Based Scheduling Method for Multi-satellite Range System
Repairing Inconsistent XML Documents
Mining Temporal Discriminant Frames via Joint Matrix Factorization: A Case Study of Illegal Immigration in the U.S. News Media
Probabilistic Declarative Process Mining
Edge-Knowledge-Driven Smoke Removal Based on Infrared and Visible Image Fusion
Generating Feedback for School Students Essay with Large Language Models
Two-Phased Event Causality Acquisition: Coupling the Boundary Identification and Argument Identification Approaches
A Document Modeling Method Based on Deep Generative Model and Spectral Hashing
Inducing Bilingual Word Representations for Non-isomorphic Spaces by an Unsupervised Way
Attention and Learning Features-Enhanced Knowledge Tracing
An Incremental Reasoning Algorithm for Large Scale Knowledge Graph
Integrating Quaternion Graph Convolutional Networks with Tucker Decomposition for Link Prediction on Knowledge Graphs
A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction
Bridging Signals and Human Intelligence - Log Mining-Driven and Meta Model-Guided Ontology Population in Large-Scale IoT
HCapsNet: A Text Classification Model Based on Hierarchical Capsule Network
A Fuzzy Description Logic with Automatic Object Membership Measurement
Finding Similar RSS News Articles Using Correlation-Based Phrase Matching
Mining Schema Knowledge from Linked Data on the Web
MCIGLE: Multimodal Exemplar-Free Class-Incremental Graph Learning
Blockchain-Enhanced Copyright Protection for Fashion Industry: A DBAE-Net Based and Traceable Image Similarity Ranking Scheme
Enhancing Pruning Efficiency via Maximum Prunable Channel Selection in Tiny Object Detection
Enumerating Minimal Explanations by Minimal Hitting Set Computation
Rethinking Lightweight and Efficient Human Pose Estimation with Star Operation Reconstruction
An Anytime Algorithm for Computing Inconsistency Measurement
Understanding Decision Model and Notation: DMN Research Directions and Trends
A Matching-Integration-Verification Model for Multiple-Choice Reading Comprehension
AutoIE: An Automated Framework for Information Extraction from Scientific Literature
Knowledge Engineering in Future Internet
Fast Multi-label Learning via Hashing
Blending the Sketched Use Case Scenario with License Agreements Using Semantics
A Dialogue Contextual Flow Model for Utterance Intent Recognition in Multi-turn Online Conversation
Dynamic Reliability-Optimised and Energy-Efficient Scheduling Algorithms in Heterogeneous Multi-core Systems
Knowledge Based Systems and Metacognition in Radar
Comparing Large Language Model-Based Prompt Engineering Strategies with Feature Engineering Strategies for Complex Word Identification
An Algorithm of Influence Maximization in Social Network Based on Local Structure Characteristics
A Comparative Study of Target-Based Evaluation of Traditional Craft Patterns Using Kansei Data
Graph Neural Network with Neighborhood Reconnection
Knowledge Science, Engineering and Management - 7th International Conference, KSEM 2014, Sibiu, Romania, October 16-18, 2014. Proceedings
A Temporal-Compress and Shorter SIFT Research on Web Videos
Identifying Helpful Online Reviews with Word Embedding Features
DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation
LogAttn: Unsupervised Log Anomaly Detection with an AutoEncoder Based Attention Mechanism
Evidential Item-Based Collaborative Filtering
On Text Mining Algorithms for Automated Maintenance of Hierarchical Knowledge Directory
Aggregation Models for People Finding in Enterprise Corpora
Hierarchical Policy Network with Multi-agent for Knowledge Graph Reasoning Based on Reinforcement Learning
Jointly Modeling Community and Topic in Social Network
Cluster Robust Inference for Embedding-Based Knowledge Graph Completion
Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection
Improved Partitioning Graph Embedding Framework for Small Cluster
An Online Portfolio Selection Algorithm with Dynamic Coreset Construction
Summary of the Application of Deep Learning in Fault Detection
Development of Enhanced Data Mining System to Approximate Empirical Formula for Ship Design
Collaborative Filtering Based on Pairwise User-Item Blocking Structure (PBCF): A General Framework and Its Implementation
Building a High Performance End-to-End Explicit Discourse Parser for Practical Application
Learning Deep and Shallow Features for Human Activity Recognition
FATFI: A Framework to Generate Adversarial Traffic with Feature Interpretability
Mitigating Targeted Bit-Flip Attacks via Data Augmentation: An Empirical Study
sEMG-Based Multi-view Feature-Constrained Representation Learning
How to Interact and Change? Abstractive Dialogue Summarization with Dialogue Act Weight and Topic Change Info
MMEA: Entity Alignment for Multi-modal Knowledge Graph
A Contextualized Entity Representation for Knowledge Graph Completion
Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification
WGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud Environments
Butterfly-Based Higher-Order Clustering on Bipartite Networks
Adaptive Spatial-Temporal Convolution Network for Traffic Forecasting
CS Net: A Coarse-to-Fine-Grained Summarization Network for Community-Based Question Answering Summarization
Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection
Energy Consumption Prediction Method for Refrigeration Systems Based on Adversarial Networks and Transformer Networks
Multi-level and Multi-interest User Interest Modeling for News Recommendation
Handling Incoming Beliefs
An Empirical Study of What Drives Users to Share Knowledge in Virtual Communities
SSNF: Optimizing Entity Alignment with a Novel Structural and Semantic Neighbor Filtering
Authorship Attribution for Short Texts with Author-Document Topic Model
Study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training
BLSHF: Broad Learning System with Hybrid Features
ε -MC Nets: A Compact Representation Scheme for Large Cooperative Game Settings
Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System
Adaptive-Skip-TransE Model: Breaking Relation Ambiguities for Knowledge Graph Embedding
SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts
Configurations for Inference Between Causal Statements
Knowledge Science, Engineering and Management, Second International Conference, KSEM 2007, Melbourne, Australia, November 28-30, 2007, Proceedings
Research on Relationships between Response Implementation Activities in Multiple Emergencies Based on Instantiated Knowledge Element
Weight Factor Algorithms for Activity Recognition in Lattice-Based Sensor Fusion
Network Flow Based IoT Anomaly Detection Using Graph Neural Network
A Multi-scale Convolution and Gated Recurrent Unit Based Network for Limit Order Book Prediction
Identifying Loners from Their Project Collaboration Records - A Graph-Based Approach
Dynamic Weighted Consensus Framework for LLM Multi-agent Debate
OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledge