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  • Conference proceedings
  • © 2020

Machine Learning and Knowledge Extraction

4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, Dublin, Ireland, August 25–28, 2020, Proceedings

Conference proceedings info: CD-MAKE 2020.

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xi
  2. Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions

    • Luca Longo, Randy Goebel, Freddy Lecue, Peter Kieseberg, Andreas Holzinger
    Pages 1-16
  3. Back to the Feature: A Neural-Symbolic Perspective on Explainable AI

    • Andrea Campagner, Federico Cabitza
    Pages 39-55
  4. Explainable Reinforcement Learning: A Survey

    • Erika Puiutta, Eric M. S. P. Veith
    Pages 77-95
  5. Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case

    • Lukas Felsberger, Andrea Apollonio, Thomas Cartier-Michaud, Andreas Müller, Benjamin Todd, Dieter Kranzlmüller
    Pages 139-158
  6. eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters

    • Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso
    Pages 159-172
  7. Cooperation Between Data Analysts and Medical Experts: A Case Study

    • Judita Rokošná, František Babič, Ljiljana Trtica Majnarić, L’udmila Pusztová
    Pages 173-190
  8. A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images

    • Fabrizio Nunnari, Chirag Bhuvaneshwara, Abraham Obinwanne Ezema, Daniel Sonntag
    Pages 191-208
  9. The European Legal Framework for Medical AI

    • David Schneeberger, Karl Stöger, Andreas Holzinger
    Pages 209-226
  10. Interpretation of SVM Using Data Mining Technique to Extract Syllogistic Rules

    • Sanjay Sekar Samuel, Nik Nailah Binti Abdullah, Anil Raj
    Pages 249-266
  11. ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class Classifiers

    • Andreas Theissler, Simon Vollert, Patrick Benz, Laurentius A. Meerhoff, Marc Fernandes
    Pages 281-300
  12. Scenario-Based Requirements Elicitation for User-Centric Explainable AI

    • Douglas Cirqueira, Dietmar Nedbal, Markus Helfert, Marija Bezbradica
    Pages 321-341

Other Volumes

  1. Machine Learning and Knowledge Extraction

About this book

This book constitutes the refereed proceedings of the 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, held in Dublin, Ireland, in August 2020.

The 30 revised full papers presented were carefully reviewed and selected from 140 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

Due to the Corona pandemic CD-MAKE 2020 was held as a virtual event.


Editors and Affiliations

  • Human-Centered AI Lab, Institute for Medical Informatics, Statistics and Doumentation, Medical University Graz, Graz, Austria

    Andreas Holzinger

  • UAS St. Pölten, St. Pölten, Austria

    Peter Kieseberg

  • Institute of Software Technology and Interactive Systems, Technical University of Vienna, Vienna, Austria

    A Min Tjoa

  • SBA Research, Vienna, Austria

    Edgar Weippl

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access