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Machine Learning and Knowledge Extraction

5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual Event, August 17–20, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Andreas Holzinger

    1. Institute for Medical Informatics, Statistics and Documentation and Institute for Information Systems and Computer Media, Medical University Graz and Graz University of Technology, Graz, 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. Institute of Software Technology and Interactive Systems, Technische Universität Wien, Vienna, Austria

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    You can also search for this editor in PubMed   Google Scholar

  4. Edgar Weippl

    1. SBA Research, Vienna, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12844)

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: CD-MAKE 2021.

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Table of contents (22 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Digital Transformation for Sustainable Development Goals (SDGs) - A Security, Safety and Privacy Perspective on AI

    • Andreas Holzinger, Edgar Weippl, A Min Tjoa, Peter Kieseberg
    Pages 1-20

  3. When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised

    • Liubov Nikolenko, Pouya Rezazadeh Kalehbasti
    Pages 21-33

  4. Self-propagating Malware Containment via Reinforcement Learning

    • Sebastian Eresheim, Daniel Pasterk
    Pages 35-50

  5. Text2PyCode: Machine Translation of Natural Language Intent to Python Source Code

    • Sridevi Bonthu, S. Rama Sree, M. H. M. Krishna Prasad
    Pages 51-60

  6. Automated Short Answer Grading Using Deep Learning: A Survey

    • Sridevi Bonthu, S. Rama Sree, M. H. M. Krishna Prasad
    Pages 61-78

  7. Fair and Adequate Explanations

    • Nicholas Asher, Soumya Paul, Chris Russell
    Pages 79-97

  8. Mining Causal Hypotheses in Categorical Time Series by Iterating on Binary Correlations

    • Bora I. Kumova, Dirk Saller
    Pages 99-114

  9. Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples

    • Zhe Xu, Bo Wu, Aditya Ojha, Daniel Neider, Ufuk Topcu
    Pages 115-135

  10. Rice Seed Image-to-Image Translation Using Generative Adversarial Networks to Improve Weedy Rice Image Classification

    • Atthakorn Petchsod, Tanasai Sucontphunt
    Pages 137-151

  11. Reliable AI Through SVDD and Rule Extraction

    • Alberto Carlevaro, Maurizio Mongelli
    Pages 153-171

  12. Airbnb Price Prediction Using Machine Learning and Sentiment Analysis

    • Pouya Rezazadeh Kalehbasti, Liubov Nikolenko, Hoormazd Rezaei
    Pages 173-184

  13. Towards Financial Sentiment Analysis in a South African Landscape

    • Michelle Terblanche, Vukosi Marivate
    Pages 185-202

  14. Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions

    • Andrea Campagner, Enrico Conte, Federico Cabitza
    Pages 203-210

  15. Deep Convolutional Neural Network (CNN) Design for Pathology Detection of COVID-19 in Chest X-Ray Images

    • Narayana Darapaneni, Anindya Sil, Balaji Kagiti, S. Krishna Kumar, N. B. Ramanathan, S. B. VasanthaKumara et al.
    Pages 211-223

  16. Anomaly Detection for Skin Lesion Images Using Replicator Neural Networks

    • Fabrizio Nunnari, Hasan Md Tusfiqur Alam, Daniel Sonntag
    Pages 225-240

  17. On the Overlap Between Grad-CAM Saliency Maps and Explainable Visual Features in Skin Cancer Images

    • Fabrizio Nunnari, Md Abdul Kadir, Daniel Sonntag
    Pages 241-253

  18. From Explainable to Reliable Artificial Intelligence

    • Sara Narteni, Melissa Ferretti, Vanessa Orani, Ivan Vaccari, Enrico Cambiaso, Maurizio Mongelli
    Pages 255-273

  19. Explanatory Pluralism in Explainable AI

    • Yiheng Yao
    Pages 275-292

  20. On the Trustworthiness of Tree Ensemble Explainability Methods

    • Angeline Yasodhara, Azin Asgarian, Diego Huang, Parinaz Sobhani
    Pages 293-308
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About this book

This book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, held in virtually in August 2021.

The 20 full papers and 2 short papers presented were carefully reviewed and selected from 48 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.

Editors and Affiliations

  • Institute for Medical Informatics, Statistics and Documentation and Institute for Information Systems and Computer Media, Medical University Graz and Graz University of Technology, Graz, Austria

    Andreas Holzinger

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

    Peter Kieseberg

  • Institute of Software Technology and Interactive Systems, Technische Universität Wien, Vienna, Austria

    A Min Tjoa

  • SBA Research, Vienna, Austria

    Edgar Weippl

Bibliographic Information

  • Book Title: Machine Learning and Knowledge Extraction

  • Book Subtitle: 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual Event, August 17–20, 2021, Proceedings

  • Editors: Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-84060-0

  • Publisher: Springer Cham

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

  • Copyright Information: IFIP International Federation for Information Processing 2021

  • Softcover ISBN: 978-3-030-84059-4Published: 12 August 2021

  • eBook ISBN: 978-3-030-84060-0Published: 11 August 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 365

  • Number of Illustrations: 23 b/w illustrations, 96 illustrations in colour

  • Topics: Artificial Intelligence, Computers and Education, Database Management, Data Mining and Knowledge Discovery

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