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Computational Collective Intelligence

15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ngoc Thanh Nguyen

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

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  2. János Botzheim

    1. Eötvös Loránd University, Budapest, Hungary

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  3. László Gulyás

    1. Eötvös Loránd University, Budapest, Hungary

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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. Universität 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 14162)

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

Included in the following conference series:

Conference proceedings info: ICCCI 2023.

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Table of contents (63 papers)

  1. Front Matter

    Pages i-xxvii
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  2. Collective Intelligence and Collective Decision-Making

    1. Front Matter

      Pages 1-1
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    2. Hybrid Genetic Algorithms to Determine 2-Optimality Consensus for a Collective of Ordered Partitions

      • Dai Tho Dang, Hai Bang Truong, Ngoc Thanh Nguyen
      Pages 3-15

    3. From Fragmented Data to Collective Intelligence: A Data Fabric Approach for University Knowledge Management

      • Lan T. K. Nguyen, Hoa N. Nguyen, Son H. Nguyen
      Pages 16-28

    4. An Architecture for Enabling Collective Intelligence in IoT Networks

      • Tapio Frantti, Ilgın Şafak
      Pages 29-42

    5. Self-Organizing Maps for Data Purchase Support in Data Marketplaces

      • Denis Mayr Lima Martins, Gottfried Vossen
      Pages 43-55

    6. Agent Based Model of Elementary School Group Learning – A Case Study

      • Barbara Wędrychowicz, Marcin Maleszka
      Pages 56-67

  3. Deep Learning Techniques

    1. Front Matter

      Pages 69-69
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    2. Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-Assisted Networks

      • Arwa Mahmoud Jwaifel, Tien Van Do
      Pages 71-83

    3. DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing

      • Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
      Pages 84-96

    4. Unlocking the Potential of Deep Learning and Filter Gabor for Facial Emotion Recognition

      • Chawki Barhoumi, Yassine Ben Ayed
      Pages 97-110

    5. Graph Convolution Collaborative Filtering with Dense Embeddings

      • Trung-Nam Bui Huynh, Anh-Tuc Tran, Ngoc-Thao Nguyen
      Pages 111-124

    6. Automatic Quantization of Convolutional Neural Networks Based on Enhanced Bare-Bones Particle Swarm Optimization for Chest X-Ray Image Classification

      • Jihene Tmamna, Emna Ben Ayed, Mounir Ben Ayed
      Pages 125-137

    7. A Convolutional Autoencoder Approach for Weakly Supervised Anomaly Video Detection

      • Phan Nguyen Duc Hieu, Phan Duy Hung
      Pages 138-150

    8. Sparsity-Invariant Convolution for Forecasting Irregularly Sampled Time Series

      • Krisztian Buza
      Pages 151-162

    9. Efficient Sparse Networks from Watts-Strogatz Network Priors

      • Tamás Traub, Mohamad Nashouqu, László Gulyás
      Pages 163-175

  4. Natural Language Processing

    1. Front Matter

      Pages 177-177
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    2. Exploring the Role of Monolingual Data in Cross-Attention Pre-training for Neural Machine Translation

      • Khang Pham, Long Nguyen, Dien Dinh
      Pages 179-190

    3. Development of a Dictionary for Preschool Children with Weak Speech Skills Based on the Word2Vec Method

      • Diana Rakhimova, Nurakhmet Matanov, Akgul Rzagaziyeva
      Pages 191-202

    4. An Abstractive Automatic Summarization Approach Based on a Text Comprehension Model of Cognitive Psychology

      • Alaidine Ben Ayed, Ismaïl Biskri, Jean-Guy Meunier
      Pages 203-216
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Other volumes

  1. Computational Collective Intelligence

  2. Advances in Computational Collective Intelligence

Keywords

About this book

This book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence,  ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023.


The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques;  natural language processing; data mining and machine learning; social networks and intelligent systems; 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; computational intelligence in medical applications; and ensemble models and data fusion.

Editors and Affiliations

  • Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen, Adrianna Kozierkiewicz

  • Eötvös Loránd University, Budapest, Hungary

    János Botzheim, László Gulyás

  • Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  • Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Jan Treur

  • Universität Münster, Münster, Germany

    Gottfried Vossen

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