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Computational Collective Intelligence

16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Ngoc Thanh Nguyen

    1. Wrocław University of Science and Technology, Wrocław, Poland

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  2. Bogdan Franczyk

    1. University of Leipzig, Leipzig, Germany

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  3. André Ludwig

    1. University of Leipzig, Leipzig, Germany

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  4. Manuel Núñez

    1. Universidad Complutense de Madrid, Madrid, Spain

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  5. Jan Treur

    1. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

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  6. Gottfried Vossen

    1. University of Münster, Münster, Germany

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  7. Adrianna Kozierkiewicz

    1. Wrocław University of Science and Technology, Wrocław, Poland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14811)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICCCI 2024.

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About this book

This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024.

The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. 

Part I:  collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning

Part II: social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0 

 

 

Keywords

Table of contents (29 papers)

  1. Front Matter

    Pages i-xxviii
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  2. Social Networks and Intelligent Systems

    1. Front Matter

      Pages 1-1
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    2. A Deep Learning Approach to Fine-Grained Political Ideology Classification on Social Media Texts

      • Erik-Robert Kovacs, Liviu-Adrian Cotfas, Camelia Delcea
      Pages 3-14

    3. Enhancing Social Network Trust with Improved EigenTrust Algorithm

      • Fatma Mlika, Wafa Karoui, Lotfi Ben Romdhane
      Pages 15-28

    4. An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice

      • Krzysztof Wnuk, Lech Madeyski, Waleed Abdeen, Sneha Penmetsa, Navya Lingampalli
      Pages 29-40

    5. Experimental Study on Link Prediction in Unweighted and Weighted Time-Evolving Organizational Social Network

      • Paweł Szyman, Dariusz Barbucha
      Pages 41-53

    6. Assessing Student Quality of Life: Analysis of Key Influential Factors

      • Talshyn Sarsembayeva, Madina Mansurova, Adrianna Kozierkiewicz, Almagul Kurmanova, Adai Shomanov, Alma Maulenova
      Pages 54-66

    7. An Adaptive Network Model for Interpersonal Emotion Regulation in Multimodal Human-Bot Interaction

      • Edgar Eler, Jan Treur, Sophie C. F. Hendrikse, Tara Donker, Sander L. Koole
      Pages 67-79

  3. Cybersecurity, Blockchain Technology, and Internet of Things

    1. Front Matter

      Pages 81-81
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    2. Strengthening Network Intrusion Detection in IoT Environments with Self-supervised Learning and Few Shot Learning

      • Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa
      Pages 83-96

    3. Daily Activities Forecasting for Long-Term Elderly Behavior Change Detection

      • Dorsaf Zekri, Ahmed Snoun, Thierry Delot, Marie Thilliez
      Pages 97-109

    4. Detection of Fake Facial Images and Changes in Real Facial Images

      • Janusz Bobulski, Mariusz Kubanek
      Pages 110-122

    5. TabGAN-Powered Data Augmentation and Explainable Boosting-Based Ensemble Learning for Intrusion Detection in Industrial Control Systems

      • Tuyen T. Nguyen, Phong H. Nguyen, Minh Q. Nguyen, Hoa N. Nguyen
      Pages 123-136

    6. Malware Detection Among Contact Tracing Apps with Deep Learning

      • Irene Kilanioti, George A. Papadopoulos
      Pages 137-150

  4. Cooperative Strategies for Decision Making and Optimization

    1. Front Matter

      Pages 151-151
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    2. Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithm

      • Kerven Durdymyradov, Mikhail Moshkov
      Pages 153-162

    3. Delays in Computing with Parallel Metaheuristics on HPC Infrastructure

      • Sylwia Biełaszek, Adam Nowak, Krzysztof Gądek, Aleksander Byrski
      Pages 163-175

    4. Reinforcement Learning-Based Cooperative Traffic Control System

      • Zoltán Barta, Szilárd Kovács, János Botzheim
      Pages 176-188

    5. Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets Without Generating Candidates

      • Vanha Tran, Thiloan Bui, Ducanh Khuat
      Pages 189-201

    6. New Results for Some Turán Problem Instances Obtained Using the Reinforcement Learning Technique

      • Tomasz Dzido
      Pages 202-214
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Other volumes

  1. Computational Collective Intelligence

  2. Computational Collective Intelligence

  3. Advances in Computational Collective Intelligence

  4. Advances in Computational Collective Intelligence

Editors and Affiliations

  • Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen, Adrianna Kozierkiewicz

  • University of Leipzig, Leipzig, Germany

    Bogdan Franczyk, André Ludwig

  • Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  • Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Jan Treur

  • University of Münster, Münster, Germany

    Gottfried Vossen

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