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Advances in 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 Nunez

    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: Communications in Computer and Information Science (CCIS, volume 1864)

Included in the following conference series:

Conference proceedings info: ICCCI 2023.

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About this book

This book constitutes the refereed proceedings of the 15th International Conference on Advances in Computational Collective Intelligence,  ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023.
The 59 full papers included in this book were carefully reviewed and selected from 218 submissions. They were organized in topical sections as follows: Collective Intelligence and Collective Decision-Making, Deep Learning Techniques,  Natural Language Processing, Data Minning and Machine learning, Social Networks and Speek Communication, Cybersecurity and Internet of Things, Cooperative Strategies for Decision Making and Optimization, Digital Content Understanding and Apllication for Industry 4.0 and Computational Intelligence in Medical Applications.

Keywords

Table of contents (59 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. Assessing the Effects of Expanded Input Elicitation and Machine Learning-Based Priming on Crowd Stock Prediction

      • Harika Bhogaraju, Arushi Jain, Jyotika Jaiswal, Adolfo R. Escobedo
      Pages 3-16

    3. RaReSi: An Approach Combining Ratings and Reviews to Measure User Similarity in Neighbor-Based Recommender Systems

      • Ho Thi Hoang Vy, Do Thi Thanh Ha, Tiet Gia Hong, Thi My Hang Vu, Cuong Pham-Nguyen, Le Nguyen Hoai Nam
      Pages 17-29

    4. Personalized Quiz-Based Perfume Recommender System Using Social Data

      • Elena-Ruxandra Luţan, Costin Bădică
      Pages 30-43

    5. LSTM-Based QoE Evaluation for Web Microservices’ Reputation Scoring

      • Maha Driss
      Pages 44-56

    6. Previous Opinions is All You Need—Legal Information Retrieval System

      • Maciej Osowski, Katarzyna Lorenc, Paweł Drozda, Rafał Scherer, Konrad Szałapak, Kajetan Komar-Komarowski et al.
      Pages 57-67

    7. An Agent-Based Network Model for Interpersonal Emotion Regulation in a Human-Bot Interaction

      • Filippos Dimopoulos, Edgar Eler, Marieke Timmers, Jan Treur, Sander L. Koole
      Pages 68-79

  3. Deep Learning Techniques

    1. Front Matter

      Pages 81-81
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    2. Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning

      • Hassen Louati, Ali Louati, Elham Kariri, Slim Bechikh
      Pages 83-95

    3. Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Tunisian Dialectical Facebook Content During the Spread of the Coronavirus Pandemic

      • Samawel Jaballi, Manar Joundy Hazar, Salah Zrigui, Henri Nicolas, Mounir Zrigui
      Pages 96-109

    4. Interpretation of Immunofluorescence Slides by Deep Learning Techniques: Anti-nuclear Antibodies Case Study

      • Oumar Khlelfa, Aymen Yahyaoui, Mouna Ben Azaiz, Anwer Ncibi, Ezzedine Gazouani, Adel Ammar et al.
      Pages 110-122

    5. An Improved Approach for Parkinson’s Disease Classification Based on Convolutional Neural Network

      • Jihen Fourati, Mohamed Othmani, Hela Ltifi
      Pages 123-135

    6. A Convolutional Recurrent Neural Network Model for Classification of Parkinson’s Disease from Resting State Multi-channel EEG Signals

      • Fatma Salah, Dhouha Guesmi, Yassine Ben Ayed
      Pages 136-146

    7. Recognition of Alzheimer’s Disease Based on Transfer Learning Approach Using Brain MR Images with Regularization

      • Dhouha Guesmi, Fatma Salah, Yassine Ben Ayed
      Pages 147-160

    8. Detection and Analyzing Satellite Images by Using Conventional Neural Network

      • Atheer Joudah, Souheyl Mallat, Mounir Zrigui
      Pages 161-174

    9. Classifying Chicken-Made Food Images Using Enhanced MobilNetV2

      • Abdulaziz Anorboev, Javokhir Musaev, Sarvinoz Anorboeva, Jeongkyu Hong, Ngoc Thanh Nguyen, Yeong-Seok Seo et al.
      Pages 175-188

  4. Natural Language Processing

    1. Front Matter

      Pages 189-189
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    2. Initial Approach to Pharmaceutical Opinion Search in Polish Language

      • Grzegorz Dziczkowski, Grzegorz Madyda
      Pages 191-202

    3. WSDTN a Novel Dataset for Arabic Word Sense Disambiguation

      • Rakia Saidi, Fethi Jarray, Asma Akacha, Wissem Aribi
      Pages 203-212
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Other volumes

  1. Computational Collective Intelligence

  2. Advances in Computational Collective Intelligence

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 Nunez

  • Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Jan Treur

  • University of Münster, Münster, Germany

    Gottfried Vossen

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