Computational Collective Intelligence
17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12-15, 2025, Proceedings, Part I
Herausgegeben:Nguyen, Ngoc Thanh; Dinh Duc Anh, Vu; Kozierkiewicz, Adrianna; Nguyen Van, Sinh; Núñez, Manuel; Treur, Jan; Vossen, Gottfried
Computational Collective Intelligence
17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12-15, 2025, Proceedings, Part I
Herausgegeben:Nguyen, Ngoc Thanh; Dinh Duc Anh, Vu; Kozierkiewicz, Adrianna; Nguyen Van, Sinh; Núñez, Manuel; Treur, Jan; Vossen, Gottfried
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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…mehr
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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.
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.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 16138
- Verlag: Springer, Berlin; Springer
- Artikelnr. des Verlages: 89583652
- Seitenzahl: 477
- Erscheinungstermin: 29. November 2025
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9783032093172
- ISBN-10: 3032093171
- Artikelnr.: 75464740
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
- Lecture Notes in Computer Science 16138
- Verlag: Springer, Berlin; Springer
- Artikelnr. des Verlages: 89583652
- Seitenzahl: 477
- Erscheinungstermin: 29. November 2025
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9783032093172
- ISBN-10: 3032093171
- Artikelnr.: 75464740
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
.
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.
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.
.
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.
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.







