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Full Description
The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16-18, 2024.
The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections:
Volume I: Knowledge Science with Learning and AI (KSLA)
Volume II: Knowledge Engineering Research and Applications (KERA)
Volume III: Knowledge Management with Optimization and Security (KMOS)
Volume IV: Emerging Technology
Volume V: Special Tracks
Contents
.- 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.
