Computational Collective Intelligence

17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025, Proceedings, Part I

AvNgoc Thanh Nguyen,Vu Dinh Duc Anh

Häftad, Engelska, 2025

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Beskrivning

This two-set volume LNAI 16138-16139 constitutes the refereed proceedings of the 17th International Conference on Computational Collective Intelligence, ICCCI 2025, held in Ho Chi Minh City, Vietnam, during November 12–15, 2025.The 67 revised full papers presented in these proceedings were carefully reviewed and selected from 290 submissions. The papers are organized in the following topical sections:Part I: Collective Intelligence and Collective Decision-Making; Co-operative Strategies for Decision-Making & Optimisation; Natural Language Processing; Knowledge Engineering & Industry 4.0 Applications; Data Mining & Machine Learning.Part II: Social Networks and Intelligent Systems; Cyber-Security, Blockchain & IoT; Computational Intelligence in Medical Applications; Computational Intelligence for Digital Content Understanding.

Produktinformation

Utgivningsdatum:2025-11-09
Mått:155 x 235 x 29 mm
Vikt:785 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:497
Förlag:Springer Nature Switzerland AG
ISBN:9783032093172

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Referensverk och tvärvetenskap inom Samhälle och politik
Hårdvara inom Data och IT
Programmeringsböcker inom Data och IT

Innehållsförteckning

.-Collective Intelligence and Collective Decision-Making:Towards Trustworthy Legal AI: a Multi-Agent Approach to Integrating Legislative Knowledge.-Evaluating Theory of Mind and Internal Beliefs in LLM-Based Multi-Agent Systems.-A Multi-Agent System Based on Learning Automata for Solving the Coverage Problem in Self-Organizing Wireless Sensor Networks.-Automatic Assessment of Verbal Communication Components in Group Processes.-Hypersphere-Based Multimodal Knowledge Graph Completion with DURA Regularization.-On the Semantic Complexity of Association Relationships in Conceptual Modeling Languages.-Co-operative Strategies for Decision-Making & Optimisation:Minimax regret scheduling problem on unrelated machines with two uncertain parameters.-A Two-Step Approach to Modeling and Solving the University Course Timetabling Problem.-A Lightweight Drift Aware Aggregation Method for Time Series Forecasting.-Secure Cooperative Semantic Communication with Swin Transformer and Jamming.-A Causal Inference Approach to Assess the Effects of Atomic Concentration Changes on the Hardness of High-Entropy Alloys.-Privacy-Aware Knowledge Transfer for Cross-domain Recommender System.-Natural Language Processing:DESS: DeBERTa Enhanced Syntactic-Semantic Aspect Sentiment Triplet Extraction.-Text-JEPA: A Joint Embedding Predictive Architecture for the Conversion of Natural Language into First-Order Logic.-RAG-ViVerse: Enhancing Poetry Generation With Retrieval Augmented Generation and Large Language Models.-ViPhoVQA: Toward a Phonemic-Based Method for Mitigating Rare and Out-of-Vocab Words in Vietnamese Text-based Visual Question Answering.-Evaluating the Strategy to Deploy Large Language Models to Label Training Data in the Process of Fake News Detection.-Towards Complex Question Answering in Polish Language.-Optimizing Legal Document Retrieval in Vietnamese with Semi-Hard Negative Mining.-A Hybrid Ensemble Framework for Topic Extraction in Vietnamese Legal Documents.-Knowledge Engineering & Industry 4.0 Applications:Code Similarity Detection Using Complexity-Based Birthmarks.-Balanced Assessment of Programmers’ Contribution in IT Projects.-A Systematic Approach to Measuring Developer Productivity: The Prismetrix Method.-LLMs as Code Review Agents: A Rapid Review and Experimental Evaluation with Human Expert Judges.-Enhancing Hotspot Detection with Behavioral Analysis and AI-Assisted Code Review.-Data Mining & Machine Learning:Efficient Algorithms for Mining Top-rank-k Frequent Closed Inter-transaction Patterns.-Mining Top-rank-k frequent inter-transaction patterns.-Predicting Students Academic Performance by Processing the Imbalanced Education Dataset.-Leveraging a Machine Learning Method for Continuous Segmentation of Airways in Videobronchoscopy.-Application of Whitebox Machine Learning Models for Optimizing Electrochemical Assays of Drug Permeability.-Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction.-A Light and Efficient Framework for e-Commerce Fraud Detection.-Convenient time series features extraction package FExtract.