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Machine Learning and Knowledge Extraction

6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23–26, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Andreas Holzinger

    1. University of Natural Resources and Life Sciences Vienna, Vienna, Austria

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  2. Peter Kieseberg

    1. St. Pölten University of Applied Sciences, St. Pölten, Austria

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  3. A Min Tjoa

    1. TU Wien, Vienna, Austria

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  4. Edgar Weippl

    1. SBA Research, Vienna, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13480)

Included in the following conference series:

Conference proceedings info: CD-MAKE 2022.

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About this book

This book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022.

The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.

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Table of contents (23 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI

    • Sami Ede, Serop Baghdadlian, Leander Weber, An Nguyen, Dario Zanca, Wojciech Samek et al.
    Pages 1-18

  3. Approximation of SHAP Values for Randomized Tree Ensembles

    • Markus Loecher, Dingyi Lai, Wu Qi
    Pages 19-30

  4. Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning

    • Federico Cabitza, Andrea Campagner, Lorenzo Famiglini, Enrico Gallazzi, Giovanni Andrea La Maida
    Pages 31-50

  5. Effects of Fairness and Explanation on Trust in Ethical AI

    • Alessa Angerschmid, Kevin Theuermann, Andreas Holzinger, Fang Chen, Jianlong Zhou
    Pages 51-67

  6. Towards Refined Classifications Driven by SHAP Explanations

    • Yusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov et al.
    Pages 68-81

  7. Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration

    • Federico Cabitza, Andrea Campagner, Lorenzo Famiglini
    Pages 82-99

  8. The ROC Diagonal is Not Layperson’s Chance: A New Baseline Shows the Useful Area

    • André M. Carrington, Paul W. Fieguth, Franz Mayr, Nick D. James, Andreas Holzinger, John W. Pickering et al.
    Pages 100-113

  9. Debiasing MDI Feature Importance and SHAP Values in Tree Ensembles

    • Markus Loecher
    Pages 114-129

  10. The Influence of User Diversity on Motives and Barriers when Using Health Apps - A Conjoint Investigation of the Intention-Behavior Gap

    • Eva Rössler, Patrick Halbach, Laura Burbach, Martina Ziefle, André Calero Valdez
    Pages 130-149

  11. Identifying Fraud Rings Using Domain Aware Weighted Community Detection

    • Shaik Masihullah, Meghana Negi, Jose Matthew, Jairaj Sathyanarayana
    Pages 150-167

  12. Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation

    • Tomas Cabezon Pedroso, Javier Del Ser, Natalia Díaz-Rodríguez
    Pages 168-187

  13. Semantic Causal Abstraction for Event Prediction

    • Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu
    Pages 188-200

  14. An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments

    • Alain Andres, Esther Villar-Rodriguez, Javier Del Ser
    Pages 201-220

  15. Towards Generating Financial Reports from Tabular Data Using Transformers

    • Clayton Leroy Chapman, Lars Hillebrand, Marc Robin Stenzel, Tobias Deußer, David Biesner, Christian Bauckhage et al.
    Pages 221-232

  16. Evaluating the Performance of SOBEK Text Mining Keyword Extraction Algorithm

    • Eliseo Reategui, Marcio Bigolin, Michel Carniato, Rafael Antunes dos Santos
    Pages 233-243

  17. Classification of Screenshot Image Captured in Online Meeting System

    • Minoru Kuribayashi, Kodai Kamakari, Nobuo Funabiki
    Pages 244-255

  18. A Survey on the Application of Virtual Reality in Event-Related Potential Research

    • Vladimir Marochko, Richard Reilly, Rachel McDonnell, Luca Longo
    Pages 256-269

  19. Visualizing Large Collections of URLs Using the Hilbert Curve

    • Poornima Belavadi, Johannes Nakayama, André Calero Valdez
    Pages 270-289

  20. How to Reduce the Time Necessary for Evaluation of Tree-Based Models

    • Viera Anderková, František Babič
    Pages 290-305
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Other volumes

  1. Machine Learning and Knowledge Extraction

Editors and Affiliations

  • University of Natural Resources and Life Sciences Vienna, Vienna, Austria

    Andreas Holzinger

  • St. Pölten University of Applied Sciences, St. Pölten, Austria

    Peter Kieseberg

  • TU Wien, Vienna, Austria

    A Min Tjoa

  • SBA Research, Vienna, Austria

    Edgar Weippl

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