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Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications

AVI 2020 Workshops, AVI-BDA and ITAVIS, Ischia, Italy, June 9, 2020 and September 29, 2020, Revised Selected Papers

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Thoralf Reis

    1. University of Hagen, Hagen, Germany

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  2. Marco X. Bornschlegl

    1. University of Hagen, Hagen, Germany

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  3. Marco Angelini

    1. Sapienza University of Rome, Rome, Italy

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  4. Matthias L. Hemmje

    1. University of Hagen, Hagen, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12585)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: AVI-BDA 2020, ITAVIS 2020.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. AI2VIS4BigData: A Reference Model for AI-Based Big Data Analysis and Visualization

    • Thoralf Reis, Marco X. Bornschlegl, Matthias L. Hemmje
    Pages 1-18

  3. A Visual Analytics Technique to Compare the Performance of Predictive Models

    • Paolo Buono, Alessandra Legretto
    Pages 19-27

  4. Affective Analytics and Visualization for Ensemble Event-Driven Stock Market Forecasting

    • Praveen Joshi, Haithem Afli
    Pages 28-55

  5. Understanding the Role of (Advanced) Machine Learning in Metagenomic Workflows

    • Thomas Krause, Bruno G. N. Andrade, Haithem Afli, Haiying Wang, Huiru Zheng, Matthias L. Hemmje
    Pages 56-82

  6. Intelligent Advanced User Interfaces for Monitoring Mental Health Wellbeing

    • Anna Esposito, Zoraida Callejas, Matthias L. Hemmje, Michael Fuchs, Mauro N. Maldonato, Gennaro Cordasco
    Pages 83-95

  7. Towards Explainable Artificial Intelligence and Explanation User Interfaces to Open the ‘Black Box’ of Automated ECG Interpretation

    • Khaled Rjoob, Raymond Bond, Dewar Finlay, Victoria McGilligan, Stephen J. Leslie, Ali Rababah et al.
    Pages 96-108

  8. Recognition and Visualization of Facial Expression and Emotion in Healthcare

    • Hayette Hadjar, Thoralf Reis, Marco X. Bornschlegl, Felix C. Engel, Paul Mc Kevitt, Matthias L. Hemmje
    Pages 109-124

  9. Machine Learning in Healthcare: Breast Cancer and Diabetes Cases

    • Abbas Cheddad
    Pages 125-135

  10. AI2VIS4BigData: Qualitative Evaluation of an AI-Based Big Data Analysis and Visualization Reference Model

    • Thoralf Reis, Marco X. Bornschlegl, Matthias L. Hemmje
    Pages 136-162

  11. Progressive Visualization of Epidemiological Models for COVID-19 Visual Analysis

    • Marco Angelini, Giorgio Cazzetta
    Pages 163-173

  12. An Experience on Cooperative Development of Interactive Visualizations for the Analysis of Urban Data

    • Paolo Buono, Maria Costabile, Alessandra Legretto, Palmalisa Marra
    Pages 174-183

  13. Explaining AI Through Critical Reflection Artifacts

    • Beatrice Gobbo
    Pages 184-188

  14. Information Visualization and Visual Analytics at IVU Lab

    • Paolo Buono
    Pages 189-194

  15. Visual Analytics for Financial Crime Detection at the University of Perugia

    • Emilio Di Giacomo, Walter Didimo, Luca Grilli, Giuseppe Liotta, Fabrizio Montecchiani
    Pages 195-200

  16. Back Matter

    Pages 201-201
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  1. Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications

Keywords

About this book

This book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2020 Workshop on Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020, held in Ischia, Italy, in June 2020, and the Second Italian Workshop on Visualization and Visual Analytics, held in Ischia, Italy, in September 2020.

The 14 regular papers in this volume present topics such as big data collection, management and curation; big data analytics; big data interaction and perception; big data insight and effectuation; configuration and management of big data storage and compute infrastructures, services, and tools; advanced visual interaction in big data applications; user empowerment and meta design in big data applications; prediction and automation of big data analysis workflows; as well as data visualization; information visualization; visual analytics; infographics; and design.

Editors and Affiliations

  • University of Hagen, Hagen, Germany

    Thoralf Reis, Marco X. Bornschlegl, Matthias L. Hemmje

  • Sapienza University of Rome, Rome, Italy

    Marco Angelini

Bibliographic Information

  • Book Title: Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications

  • Book Subtitle: AVI 2020 Workshops, AVI-BDA and ITAVIS, Ischia, Italy, June 9, 2020 and September 29, 2020, Revised Selected Papers

  • Editors: Thoralf Reis, Marco X. Bornschlegl, Marco Angelini, Matthias L. Hemmje

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-68007-7

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-68006-0Published: 03 February 2021

  • eBook ISBN: 978-3-030-68007-7Published: 02 February 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 201

  • Number of Illustrations: 26 b/w illustrations, 66 illustrations in colour

  • Topics: User Interfaces and Human Computer Interaction

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