the proceedings contain 169 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: MAST-NER: A Low-Resource Named Entity Recognition Method Based on ...
ISBN:
(纸本)9783031109829
the proceedings contain 169 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: MAST-NER: A Low-Resource Named Entity Recognition Method Based on Trigger Pool;fuzzy Information Measures Feature Selection Using Descriptive Statistics Data;prompt-Based Self-training Framework for Few-Shot Named Entity Recognition;learning Advisor-Advisee Relationship from Multiplex Network Structure;preface;study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training;CorefDRE: Coref-Aware Document-Level Relation Extraction;Single Pollutant Prediction Approach by Fusing MLSTM and CNN;a Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection;Detection DDoS of Attacks Based on Federated Learning with Digital Twin Network;a Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy;Ε- MC Nets: A Compact Representation Scheme for Large Cooperative Game Settings;an Incentive-Compatible and Efficient Mechanism for Matching and Pricing in Ride-Sharing;MEOD: A Robust Multi-stage Ensemble Model Based on Rank Aggregation and Stacking for Outlier Detection;MTN-Net: A Multi-Task Network for Detection and Segmentation of thyroid Nodules in Ultrasound Images;Dual Adversarial Federated Learning on Non-IID Data;spatial Semantic Learning for Travel Time Estimation;low-Quality DanMu Detection via Eye-Tracking Patterns;TSC-GCN: A Face Clustering Method Based on GCN;spotlight on Video Piracy Websites: Familial Analysis Based on Multidimensional Features;a Vehicle Value Based Ride-Hailing Order Matching and Dispatching Algorithm;privacy-Preserving Deep Learning in Internet of Healthcare things with Blockchain-Based Incentive;a Novel Spectral Ensemble Clustering Algorithm Based on Social Group Migratory Behavior and Emotional Preference;an Improved Semantic Link Based Cyber Community Discovery Model on Social Network;NNDF: A New Neural D
the proceedings contain 169 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: MAST-NER: A Low-Resource Named Entity Recognition Method Based on ...
ISBN:
(纸本)9783031109850
the proceedings contain 169 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: MAST-NER: A Low-Resource Named Entity Recognition Method Based on Trigger Pool;fuzzy Information Measures Feature Selection Using Descriptive Statistics Data;prompt-Based Self-training Framework for Few-Shot Named Entity Recognition;learning Advisor-Advisee Relationship from Multiplex Network Structure;preface;study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training;CorefDRE: Coref-Aware Document-Level Relation Extraction;Single Pollutant Prediction Approach by Fusing MLSTM and CNN;a Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection;Detection DDoS of Attacks Based on Federated Learning with Digital Twin Network;a Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy;Ε- MC Nets: A Compact Representation Scheme for Large Cooperative Game Settings;an Incentive-Compatible and Efficient Mechanism for Matching and Pricing in Ride-Sharing;MEOD: A Robust Multi-stage Ensemble Model Based on Rank Aggregation and Stacking for Outlier Detection;MTN-Net: A Multi-Task Network for Detection and Segmentation of thyroid Nodules in Ultrasound Images;Dual Adversarial Federated Learning on Non-IID Data;spatial Semantic Learning for Travel Time Estimation;low-Quality DanMu Detection via Eye-Tracking Patterns;TSC-GCN: A Face Clustering Method Based on GCN;spotlight on Video Piracy Websites: Familial Analysis Based on Multidimensional Features;a Vehicle Value Based Ride-Hailing Order Matching and Dispatching Algorithm;privacy-Preserving Deep Learning in Internet of Healthcare things with Blockchain-Based Incentive;a Novel Spectral Ensemble Clustering Algorithm Based on Social Group Migratory Behavior and Emotional Preference;an Improved Semantic Link Based Cyber Community Discovery Model on Social Network;NNDF: A New Neural D
the proceedings contain 169 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: MAST-NER: A Low-Resource Named Entity Recognition Method Based on ...
ISBN:
(纸本)9783031109881
the proceedings contain 169 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: MAST-NER: A Low-Resource Named Entity Recognition Method Based on Trigger Pool;fuzzy Information Measures Feature Selection Using Descriptive Statistics Data;prompt-Based Self-training Framework for Few-Shot Named Entity Recognition;learning Advisor-Advisee Relationship from Multiplex Network Structure;preface;study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training;CorefDRE: Coref-Aware Document-Level Relation Extraction;Single Pollutant Prediction Approach by Fusing MLSTM and CNN;a Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection;Detection DDoS of Attacks Based on Federated Learning with Digital Twin Network;a Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy;Ε- MC Nets: A Compact Representation Scheme for Large Cooperative Game Settings;an Incentive-Compatible and Efficient Mechanism for Matching and Pricing in Ride-Sharing;MEOD: A Robust Multi-stage Ensemble Model Based on Rank Aggregation and Stacking for Outlier Detection;MTN-Net: A Multi-Task Network for Detection and Segmentation of thyroid Nodules in Ultrasound Images;Dual Adversarial Federated Learning on Non-IID Data;spatial Semantic Learning for Travel Time Estimation;low-Quality DanMu Detection via Eye-Tracking Patterns;TSC-GCN: A Face Clustering Method Based on GCN;spotlight on Video Piracy Websites: Familial Analysis Based on Multidimensional Features;a Vehicle Value Based Ride-Hailing Order Matching and Dispatching Algorithm;privacy-Preserving Deep Learning in Internet of Healthcare things with Blockchain-Based Incentive;a Novel Spectral Ensemble Clustering Algorithm Based on Social Group Migratory Behavior and Emotional Preference;an Improved Semantic Link Based Cyber Community Discovery Model on Social Network;NNDF: A New Neural D
Complex procedural knowledge and tacit knowledge are hard to assess and practice constructs. In this paper, we demonstrate the application of autonomous multi-agent simulations to assess teacher's classroom manage...
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ISBN:
(纸本)9783031735370;9783031735387
Complex procedural knowledge and tacit knowledge are hard to assess and practice constructs. In this paper, we demonstrate the application of autonomous multi-agent simulations to assess teacher's classroom management skills. We developed a visual virtual environment within which virtual agents mimic students. these agents act and interact autonomously with each other. Human teachers are requested to interfere on the basis of a pre-defined set of actions to optimize the simulated study time and happiness of the agents. this paper presents analyses of systematically configured simulation runs to elucidate the simulation characteristics and to evaluate the rationality and credibility of the simulations.
the proceedings contain 32 papers. the topics discussed include: a case study and qualitative analysis of simple cross-lingual opinion mining;event log abstraction in client-server applications;improved session-based ...
ISBN:
(纸本)9789897585333
the proceedings contain 32 papers. the topics discussed include: a case study and qualitative analysis of simple cross-lingual opinion mining;event log abstraction in client-server applications;improved session-based recommender system by context awareness in e-commerce domain;FormalStyler: GPT based model for formal style transfer based on formality and meaning preservation;towards a rule-based visualization recommendation system;product embedding for large-scale disaggregated sales data;an evaluation of hubness reduction methods for entity alignment withknowledge graph embeddings;matching entities from multiple sources with hierarchical agglomerative clustering;hierarchical control of swarms during evacuation;modelling and detection of driver’s fatigue using ontology;participatory design in knowledgemanagement: an opportunity to small and medium business;eliciting design requirements for a knowledgemanagement system in cultural and historical heritage;and a qualitative study on the categorization and prioritization of digital competencies and attitudes for managers and employees.
technology, the innovative construction of project-based learning and school-enterprise cooperative courses has become an important research direction in the field of education. this review, based on the "BIM Dat...
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In this study, 557 journal articles on the topic of green logistics included in the CNKI database between 2001 and 2023 were subjected to visualization and analysis using CiteSpace software. By analyzing the number of...
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In this study, 557 journal articles on the topic of green logistics included in the CNKI database between 2001 and 2023 were subjected to visualization and analysis using CiteSpace software. By analyzing the number of articles published in recent years, the source of literature, the co-occurrence of keywords, and the clustering, a knowledge map of this field of research in China was constructed. the findings of the study indicate that the collaboration between authors and institutions in this research domain in China is not yet characterized by a high level of proximity, exhibiting a tendency towards extensive dispersion and limited concentration. the research focus has gradually shifted from the theoretical to the practical level of exploration over time. A summary and analysis of the emergent words reveals that the dominant research directions in this field are the circular economy and the green economy. Additionally, the aggregation of the logistics industry represents a novel research topic.
Withthe booming development of online education, the number of course resources has shown a geometric growth, and the surge in course resources has also brought challenges in management and personalized learning. As ...
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this research presents an innovative system for managing access control and real-time data flow within a decentralized supply chain. Leveraging blockchain technology, specifically Hyperledger Fabric, in conjunction wi...
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the problem of classifying the states of objects using visual information holds great importance in both applied and theoretical contexts. this work focuses on the special case of Zero-shot Object-Agnostic State Class...
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ISBN:
(纸本)9798350375657
the problem of classifying the states of objects using visual information holds great importance in both applied and theoretical contexts. this work focuses on the special case of Zero-shot Object-Agnostic State Classification (ZS-OaSC). To tackle this problem, we introduce an innovative strategy that capitalizes on the capabilities of Graph Neural Networks to learn to project semantic embeddings into visual space and on the potential of Large Language Models (LLMs) to provide rich content for constructing knowledge Graphs (KGs). through a comprehensive ablation study, we explore the synergies between LLMs and KGs, uncovering critical insights about their integration in the context of the ZS-OSC problem. Our proposed methodology is rigorously evaluated against current state-of-the-art (SoA) methods, demonstrating superior performance in various image datasets.
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