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Foundations of Intelligent Systems

26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3–5, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Michelangelo Ceci

    1. Università degli Studi di Bari Aldo Moro, Bari, Italy

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  2. Sergio Flesca

    1. Università della Calabria, Rende, Italy

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  3. Elio Masciari

    1. Università Federico II di Napoli, Naples, Italy

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  4. Giuseppe Manco

    1. ICAR-CNR, Rende, Italy

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  5. Zbigniew W. Raś

    1. University of North Carolina, Charlotte, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13515)

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

Included in the following conference series:

Conference proceedings info: ISMIS 2022.

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About this book

This book constitutes the proceedings of the 26th International Symposium on Foundations of Intelligent Systems, ISMIS 2022, held in Cosenza, Italy, in October 2022. 


The 31 regular papers, 11 short papers and 4 industrial papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections as follows: Social Media and Recommendation; Natural Language Processing; Explainability; Intelligent Systems; Classification and Clustering; Complex Data; Medical Applications; Industrial Applications. 



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Table of contents (46 papers)

  1. Front Matter

    Pages i-xviii
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  2. Social Media and Recommendation

    1. Front Matter

      Pages 1-1
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    2. Granular Emotion Detection in Social Media Using Multi-Discipline Ensembles

      • Robert H. Frye, David C. Wilson
      Pages 3-12

    3. Sentiment Polarity and Emotion Detection from Tweets Using Distant Supervision and Deep Learning Models

      • Muhamet Kastrati, Marenglen Biba, Ali Shariq Imran, Zenun Kastrati
      Pages 13-23

    4. Disruptive Event Identification in Online Social Network

      • Aditi Seetha, Satyendra Singh Chouhan, Sanskar Soni, Dev Milan Mehta, Vinush Vishwanath
      Pages 24-34

    5. Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias

      • Sadia Kamal, Jade Gullic, Arunkumar Bagavathi
      Pages 35-43

    6. Sarcasm Detection in Tunisian Social Media Comments: Case of COVID-19

      • Asma Mekki, Inès Zribi, Mariem Ellouze, Lamia Hadrich Belguith
      Pages 44-51

    7. Multimodal Deep Learning and Fast Retrieval for Recommendation

      • Daniele Ciarlo, Luigi Portinale
      Pages 52-60

  3. Natural Language Processing

    1. Front Matter

      Pages 61-61
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    2. Mining News Articles Dealing with Food Security

      • Hugo Deléglise, Agnès Bégué, Roberto Interdonato, Elodie Maître d’Hôtel, Mathieu Roche, Maguelonne Teisseire
      Pages 63-73

    3. Identification of Paragraph Regularities in Legal Judgements Through Clustering and Textual Embedding

      • Graziella De Martino, Gianvito Pio
      Pages 74-84

    4. Aspect Term Extraction Improvement Based on a Hybrid Method

      • Sarsabene Hammi, Souha Mezghani Hammami, Lamia Hadrich Belguith
      Pages 85-94

    5. Exploring the Impact of Gender Bias Mitigation Approaches on a Downstream Classification Task

      • Nasim Sobhani, Sarah Jane Delany
      Pages 95-105

    6. A Semi-automatic Data Generator for Query Answering

      • Fabrizio Angiulli, Alessandra Del Prete, Fabio Fassetti, Simona Nisticò
      Pages 106-114

  4. Explainability

    1. Front Matter

      Pages 115-115
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    2. XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity

      • Malik AL-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
      Pages 117-126

    3. Impact of Feedback Type on Explanatory Interactive Learning

      • Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
      Pages 127-137

    4. Learning and Explanation of Extreme Multi-label Deep Classification Models for Media Content

      • Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Erika De Francesco, Pasquale Lambardi
      Pages 138-148

    5. An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout

      • Malvika Pillai, Karthik Adapa, Meagan Foster, Ian Kratzke, Nadia Charguia, Lukasz Mazur
      Pages 149-161

    6. A General-Purpose Method for Applying Explainable AI for Anomaly Detection

      • John Sipple, Abdou Youssef
      Pages 162-174
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Other volumes

  1. Foundations of Intelligent Systems

Editors and Affiliations

  • Università degli Studi di Bari Aldo Moro, Bari, Italy

    Michelangelo Ceci

  • Università della Calabria, Rende, Italy

    Sergio Flesca

  • Università Federico II di Napoli, Naples, Italy

    Elio Masciari

  • ICAR-CNR, Rende, Italy

    Giuseppe Manco

  • University of North Carolina, Charlotte, USA

    Zbigniew W. Raś

Bibliographic Information

  • Book Title: Foundations of Intelligent Systems

  • Book Subtitle: 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3–5, 2022, Proceedings

  • Editors: Michelangelo Ceci, Sergio Flesca, Elio Masciari, Giuseppe Manco, Zbigniew W. Raś

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-16564-1

  • 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: 978-3-031-16563-4Published: 09 September 2022

  • eBook ISBN: 978-3-031-16564-1Published: 26 September 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 488

  • Number of Illustrations: 40 b/w illustrations, 112 illustrations in colour

  • Topics: Artificial Intelligence, Computer Applications, Data Mining and Knowledge Discovery, Image Processing and Computer Vision

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