the proceedings contain 79 papers. the topics discussed include: an interactive approach for query-based multi-document scientific text summarization;enhancing Persian word sense disambiguation with large language mod...
ISBN:
(纸本)9798331511272
the proceedings contain 79 papers. the topics discussed include: an interactive approach for query-based multi-document scientific text summarization;enhancing Persian word sense disambiguation with large language models techniques and applications;assessing users' influence on respondents in conversation quality: a quantitative study on reddit based on the cooperative principle;non-negative matrix factorization improves residual neural networks;cluster sampling: a cluster-driven sampling strategy for deep metric learning;a scalable blockchain-based educational network for data storage and assessment;towards efficient capsule networks through approximate squash function and layer-wise quantization;automated software design using machine learning with natural language processing;evaluation of efficient electrocardiomatrix-based identification using deep learning methods;disturbance rejection in quadruple-tank system by proposing new method in reinforcement learning;and an improved and accurate measure for mining correlated high-utility itemsets.
the proceedings contain 28 papers. the special focus in this conference is on knowledgeengineering and knowledgemanagement. the topics include: Influence Beyond Similarity: A Contrastive Learning Approach to Ob...
ISBN:
(纸本)9783031777912
the proceedings contain 28 papers. the special focus in this conference is on knowledgeengineering and knowledgemanagement. the topics include: Influence Beyond Similarity: A Contrastive Learning Approach to Object Influence Retrieval;Discovering a Representative Set of Link Keys in RDF Datasets;understanding the Impact of Entity Linking on the Topology of Entity Co-occurrence Networks for Social Media Analysis;Empowering CamemBERT Legal Entity Extraction With LLM Boostrapping;Lexicalization Is All You Need: Examining the Impact of Lexical knowledge in a Compositional QALD System;on the Roles of Competency Questions in Ontology engineering;structured Representations for Narratives;comparing Symbolic and Embedding-Based Approaches for Relational Blocking;uniQ-Gen: Unified Query Generation Across Multiple knowledge Graphs;LLM-Driven knowledge Extraction in Temporal and Description Logics;FaVEL: Fact Validation Ensemble Learning;a Framework for Evaluating Entity Alignment Impact on Downstream knowledge Discovery;Scholarly Wikidata: Population and Exploration of conference Data in Wikidata Using LLMs;understanding Inflicted Injuries in Young Children: Toward an Ontology Based Approach;a Review and Comparison of Competency Question engineering Approaches;A Generic Framework to Better Understand and Compare FAIRness Measures;ORKA: An Ontology for Robotic knowledge Acquisition;transformers in the Service of Description Logic-Based Contexts;additive Counterfactuals for Explaining Link Predictions on knowledge Graphs;peGazUs: A knowledge Graph Based Approach to Build Urban Perpetual Gazetteers;ontology-Constrained Generation of Domain-Specific Clinical Summaries;contextualizing Entity Representations for Zero-Shot Relation Extraction with Masked Language Models;validating a Functional Status knowledge Graph in a Large-Scale Living Lab;human Evaluation of Procedural knowledge Graph Extraction from Text with Large Language Models;modelling and Mining knowledge About Computat
the proceedings contain 35 papers. the topics discussed include: EvdoGraph: a knowledge graph for the EVDOXUS textbook management service for Greek universities;development of an OWL ontology based on the function-ori...
ISBN:
(纸本)9789897586712
the proceedings contain 35 papers. the topics discussed include: EvdoGraph: a knowledge graph for the EVDOXUS textbook management service for Greek universities;development of an OWL ontology based on the function-oriented system architecture to support data synchronization between SysML and domain models;using paraphrasers to detect duplicities in ontologies;developing digital media service value creation by using emotion data;knowledge graphs alignment based on learning to rank methods;knowledge graphs extracted from medical appointment transcriptions: results generating triples relying on LLMs;an approach to developing ontology-based tools for event series analysis;and evaluating the perceived quality and functionality of demo models’ representations in the health domain.
the proceedings contain 34 papers. the topics discussed include: enhancing leadership and management effectiveness: leveraging actor-network theory for project risk mitigation;discovering potential founders based on a...
ISBN:
(纸本)9789897586712
the proceedings contain 34 papers. the topics discussed include: enhancing leadership and management effectiveness: leveraging actor-network theory for project risk mitigation;discovering potential founders based on academic background;emotional intelligence: predictor of success and career advancement - a survey of Bulgarian digital entrepreneurs;knowledge transfer factors for internal combustion engine (ICE) industry to electric vehicle (EV) industry by artificial intelligent: machine learning;a taxonomy for autonomous LLM-powered multi-agent architectures;towards effective ecosystems: a framework for mapping knowledge governance and management activities of innovation ecosystems constituent elements;and ZeitGeist: a generic tool supporting the dissemination of time series data following FAIR principles.
the proceedings contain 51 papers. the topics discussed include: identifying similar top-k household electricity consumption patterns;detecting greenwashing in the environmental, social, and governance domains using n...
ISBN:
(纸本)9789897586712
the proceedings contain 51 papers. the topics discussed include: identifying similar top-k household electricity consumption patterns;detecting greenwashing in the environmental, social, and governance domains using natural language processing;speech detection of real-time MRI vocal tract data;a flexible approach for retrieving geometrically similar finite element models using point cloud autoencoders;fine-tuning and aligning question answering models for complex information extraction tasks;closeness centrality detection in homogeneous multilayer networks;subject classification of software repository;recommendation system for product test failures using BERT;and an explainable knowledge graph-based news recommendation system.
the proceedings contain 160 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT E...
ISBN:
(纸本)9789819755004
the proceedings contain 160 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: 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
the proceedings contain 160 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT E...
ISBN:
(纸本)9789819754915
the proceedings contain 160 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: 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
the proceedings contain 160 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT E...
ISBN:
(纸本)9789819754977
the proceedings contain 160 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: 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
the proceedings contain 160 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT E...
ISBN:
(纸本)9789819754946
the proceedings contain 160 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: 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
the proceedings contain 160 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT E...
ISBN:
(纸本)9789819754885
the proceedings contain 160 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: 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
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