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Computational Collective Intelligence

14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Ngoc Thanh Nguyen

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

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  2. Yannis Manolopoulos

    1. Open University of Cyprus, Nicosia, Cyprus

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  3. Richard Chbeir

    1. University of Pau and Pays de l'Adour, Anglet, France

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  4. Adrianna Kozierkiewicz

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

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  5. Bogdan Trawiński

    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 13501)

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

Included in the following conference series:

Conference proceedings info: ICCCI 2022.

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Table of contents (66 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. Inferring Event Causality in Films via Common Knowledge Corpora

      • Ben Aidlin, Armin Shmilovici, Mark Last
      Pages 3-15

    3. Cooperation Game on Communication Multigraph with Fuzzy Parameters

      • Barbara Gładysz, Jacek Mercik
      Pages 16-28

    4. Impact of Similarity Measure on the Quality of Communities Detected in Social Network by Hierarchical Clustering

      • Paweł Szyman, Dariusz Barbucha
      Pages 29-42

    5. An Approach to Modeling a Real-Time Updated Environment Based on Messages from Agents

      • Marek Krótkiewicz, Krystian Wojtkiewicz, Marcin Jodłowiec, Rafał Palak, Mikołaj Szczerbicki, Piotr Nawrocki
      Pages 43-50

    6. Updating the Result Ontology Integration at the Concept Level in the Event of the Evolution of Their Components

      • Adrianna Kozierkiewicz, Marcin Pietranik, Mateusz Olsztyński, Loan T. T. Nguyen
      Pages 51-64

    7. Integrating Machine Learning into Learner Profiling for Adaptive and Gamified Learning System

      • Souha Bennani, Ahmed Maalel, Henda Ben Ghezala, Achref Daouahi
      Pages 65-71

  3. Deep Learning Techniques

    1. Front Matter

      Pages 73-73
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    2. A New Deep Learning Fusion Approach for Emotion Recognition Based on Face and Text

      • Nouha Khediri, Mohammed Ben Ammar, Monji Kherallah
      Pages 75-81

    3. Cycle Route Signs Detection Using Deep Learning

      • Lukas Kopecky, Michal Dobrovolny, Antonin Fuchs, Ali Selamat, Ondrej Krejcar
      Pages 82-94

    4. Data Augmentation for Morphological Analysis of Histopathological Images Using Deep Learning

      • Martin Tabakov, Konrad Karanowski, Adam R. Chlopowiec, Adrian B. Chlopowiec, Mikolaj Kasperek
      Pages 95-105

    5. An End-to-End Framework for Evaluating Explainable Deep Models: Application to Historical Document Image Segmentation

      • Iheb Brini, Maroua Mehri, Rolf Ingold, Najoua Essoukri Ben Amara
      Pages 106-119

    6. Deep Convolutional Neural Network for Arabic Speech Recognition

      • Rafik Amari, Zouhaira Noubigh, Salah Zrigui, Dhaou Berchech, Henri Nicolas, Mounir Zrigui
      Pages 120-134

    7. RingNet: Geometric Deep Representation Learning for 3D Multi-domain Protein Shape Retrieval

      • Hela Haj Mohamed, Samir Belaid, Wady Naanaa
      Pages 135-147

    8. Patch Selection for Melanoma Classification

      • Guillaume Lachaud, Patricia Conde-Cespedes, Maria Trocan
      Pages 148-159

  4. Natural Language Processing

    1. Front Matter

      Pages 161-161
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    2. Multi-model Analysis of Language-Agnostic Sentiment Classification on MultiEmo Data

      • Piotr Miłkowski, Marcin Gruza, Przemysław Kazienko, Joanna Szołomicka, Stanisław Woźniak, Jan Kocoń
      Pages 163-175

    3. Sentiment Analysis of Tunisian Users on Social Networks: Overcoming the Challenge of Multilingual Comments in the Tunisian Dialect

      • Samawel Jaballi, Salah Zrigui, Mohamed Ali Sghaier, Dhaou Berchech, Mounir Zrigui
      Pages 176-192

    4. Non-Contextual vs Contextual Word Embeddings in Multiword Expressions Detection

      • Maciej Piasecki, Kamil Kanclerz
      Pages 193-206
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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 14th International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. 
The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical ​sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.

Editors and Affiliations

  • Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen, Adrianna Kozierkiewicz, Bogdan Trawiński

  • Open University of Cyprus, Nicosia, Cyprus

    Yannis Manolopoulos

  • University of Pau and Pays de l'Adour, Anglet, France

    Richard Chbeir

Bibliographic Information

  • Book Title: Computational Collective Intelligence

  • Book Subtitle: 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings

  • Editors: Ngoc Thanh Nguyen, Yannis Manolopoulos, Richard Chbeir, Adrianna Kozierkiewicz, Bogdan Trawiński

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-16014-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-16013-4Published: 21 September 2022

  • eBook ISBN: 978-3-031-16014-1Published: 21 September 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVII, 853

  • Number of Illustrations: 132 b/w illustrations, 215 illustrations in colour

  • Topics: Artificial Intelligence

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