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Machine Learning and Knowledge Extraction

7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 – September 1, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Andreas Holzinger

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

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  2. Peter Kieseberg

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

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  3. Federico Cabitza

    1. University of Milano-Bicocca, Milan, Italy

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  4. Andrea Campagner

    1. University of Milano-Bicocca, Milan, Italy

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  5. A Min Tjoa

    1. TU Wien, Vienna, Austria

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  6. Edgar Weippl

    1. SBA Research, Vienna, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14065)

Included in the following conference series:

Conference proceedings info: CD-MAKE 2023.

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About this book

This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023.  

The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on 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.


Keywords

Table of contents (18 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Controllable AI - An Alternative to Trustworthiness in Complex AI Systems?

    • Peter Kieseberg, Edgar Weippl, A. Min Tjoa, Federico Cabitza, Andrea Campagner, Andreas Holzinger
    Pages 1-12Open Access

  3. Efficient Approximation of Asymmetric Shapley Values Using Functional Decomposition

    • Arne Gevaert, Anna Saranti, Andreas Holzinger, Yvan Saeys
    Pages 13-30Open Access

  4. Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition

    • Bettina Finzel, Ines Rieger, Simon Kuhn, Ute Schmid
    Pages 31-44Open Access

  5. Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning

    • Andreas Holzinger, Anna Saranti, Anne-Christin Hauschild, Jacqueline Beinecke, Dominik Heider, Richard Roettger et al.
    Pages 45-64Open Access

  6. The Tower of Babel in Explainable Artificial Intelligence (XAI)

    • David Schneeberger, Richard Röttger, Federico Cabitza, Andrea Campagner, Markus Plass, Heimo Müller et al.
    Pages 65-81Open Access

  7. Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data

    • Ryan Dave, Juan S. Angarita-Zapata, Isaac Triguero
    Pages 82-102

  8. Transformers are Short-Text Classifiers

    • Fabian Karl, Ansgar Scherp
    Pages 103-122

  9. Reinforcement Learning with Temporal-Logic-Based Causal Diagrams

    • Yash Paliwal, Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Xiaoming Duan et al.
    Pages 123-140

  10. Using Machine Learning to Generate a Dictionary for Environmental Issues

    • Daniel E. O’Leary, Yangin Yoon
    Pages 141-154

  11. Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice

    • Federico Cabitza, Andrea Campagner, Lorenzo Famiglini, Chiara Natali, Valerio Caccavella, Enrico Gallazzi
    Pages 155-169

  12. Enhancing Trust in Machine Learning Systems by Formal Methods

    • Christina Tavolato-Wötzl, Paul Tavolato
    Pages 170-187

  13. Sustainability Effects of Robust and Resilient Artificial Intelligence

    • Torsten Priebe, Peter Kieseberg, Alexander Adrowitzer, Oliver Eigner, Fabian Kovac
    Pages 188-199Open Access

  14. The Split Matters: Flat Minima Methods for Improving the Performance of GNNs

    • Nicolas Lell, Ansgar Scherp
    Pages 200-226

  15. Probabilistic Framework Based on Deep Learning for Differentiating Ultrasound Movie View Planes

    • Andrei Gabriel Nascu, Smaranda Belciug, Anca-Maria Istrate-Ofiteru, Dominic Gabriel Iliescu
    Pages 227-238

  16. Standing Still Is Not an Option: Alternative Baselines for Attainable Utility Preservation

    • Sebastian Eresheim, Fabian Kovac, Alexander Adrowitzer
    Pages 239-257

  17. Memorization of Named Entities in Fine-Tuned BERT Models

    • Andor Diera, Nicolas Lell, Aygul Garifullina, Ansgar Scherp
    Pages 258-279

  18. Event and Entity Extraction from Generated Video Captions

    • Johannes Scherer, Deepayan Bhowmik, Ansgar Scherp
    Pages 280-300

  19. Fine-Tuning Language Models for Scientific Writing Support

    • Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffman, Nicolas Lell et al.
    Pages 301-318

  20. Back Matter

    Pages 319-320
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Other volumes

  1. Machine Learning and Knowledge Extraction

Editors and Affiliations

  • University of Natural Resources and Life, Vienna, Austria

    Andreas Holzinger

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

    Peter Kieseberg

  • University of Milano-Bicocca, Milan, Italy

    Federico Cabitza, Andrea Campagner

  • TU Wien, Vienna, Austria

    A Min Tjoa

  • SBA Research, Vienna, Austria

    Edgar Weippl

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