E-raamat: Knowledge Science, Engineering and Management: 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part I

.- Knowledge Science with Learning and AI (KSLA).

.- A Deep Correlation Feature Extraction Network: Intelligent Description of
Bearing Fault Knowledge for Zero-Sample Learning.



.- Elastic Filter Prune in Deep Neural Networks using Modified Weighted
Hybrid Criterion.



.- EE LCE: An Event Extraction Framework Based on LLM Generated CoT
Explanation.



.- Attention and Learning Features enhanced Knowledge Tracing.



.- An MLM Decoding Space Enhancement for Legal Document Proofreading.



.- Meta Pruning: learning to prune on few shot learning.



.- Knowledge informed Molecular Learning: A Survey on Paradigm Transfer.



.-GenFlowchart: Parsing and Understanding Flowchart Using Generative AI.



.- DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification.



.- Programming Knowledge Tracing with Context and Structure Integration.



.- An Konwledge-Based Semi-supervised Active Learning Method for Precision
Pest Disease Diagnostic.



.- Multi-Label Feature Selection with Adaptive Subspace Learning.



.- User Story Classification with Machine Learning and LLMs.



.- PTMA: Pre-trained Model Adaptation for Transfer Learning.



.- Optimization Strategies for Knowledge Graph Based Distractor Generation.



.- Reinforced Subject-aware Graph Neural Network for Related Work
Generation.



.- EFCC IeT: Cross-modal Electronic File Content Correlation via
Image-enhanced Text.



.- Multi relation Neural Network Recommendation Model Based on Knowledge
Graph Embedding Algorithm.



.- Link prediction based on deep global information in heterogeneous graph.



.- Subject Knowledge Entity Relationship Extraction Based on Multi-Feature
Fusion and Relation Specific Horns Tagging.



.- A Human Computer Negotiation Model Based on Q-Learning.



.- Affine Transformation-Based Knowledge Graph Embedding.



.- Integrating Prior Scenario Knowledge for Composition Review Generation.



.- Distant supervised relation extraction on pre-train model with improved
multi-label attention mechanism.



.- sEMG-based Multi-View Feature-Constrained Representation Learning.



.- Vicinal Data Augmentation for Classification Model via Feature Weaken.



.- STM an Improved Peak Price Tracking-Based Online Portfolio Selection
Algorithm.



.- Spatiotemporal Dependence Learning with Meteorological Context for
Transportation Demand Prediction.



.- Automatic Meter Pointer Reading Based on Knowledge Distillation.



.- Multi-Table Question Answering Method Based on Correlation Evaluation and
Precomputed Cube.



.- A Joint Multi-task Learning Model for Web Table-to-Knowledge Graph
Matching.



.-  An In Context Schema Understanding Method for Knowledge Base Question
Answering.



.- Performance Enhancement Strategies for Node Classification Based on Graph
Community Structure Recognition.