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

Front Matter ....Pages i-xi
 Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions  (Luca Longo, Randy Goebel, Freddy Lecue, Peter Kieseberg, Andreas Holzinger)....Pages 1-16
 The Explanation Game: Explaining Machine Learning Models Using Shapley Values  (Luke Merrick, Ankur Taly)....Pages 17-38
 Back to the Feature: A Neural-Symbolic Perspective on Explainable AI  (Andrea Campagner, Federico Cabitza)....Pages 39-55
 Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification  (Xiaoxiao Li, João Saúde)....Pages 57-76
 Explainable Reinforcement Learning: A Survey  (Erika Puiutta, Eric M. S. P. Veith)....Pages 77-95
 A Projected Stochastic Gradient Algorithm for Estimating Shapley Value Applied in Attribute Importance  (Grah Simon, Thouvenot Vincent)....Pages 97-115
 Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees  (Annabelle Redelmeier, Martin Jullum, Kjersti Aas)....Pages 117-137
 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
 eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters  (Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso)....Pages 159-172
 Cooperation Between Data Analysts and Medical Experts: A Case Study  (Judita Rokošná, František Babič, Ljiljana Trtica Majnarić, L’udmila Pusztová)....Pages 173-190
 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
 The European Legal Framework for Medical AI  (David Schneeberger, Karl Stöger, Andreas Holzinger)....Pages 209-226
 An Efficient Method for Mining Informative Association Rules in Knowledge Extraction  (Parfait Bemarisika, André Totohasina)....Pages 227-247
 Interpretation of SVM Using Data Mining Technique to Extract Syllogistic Rules  (Sanjay Sekar Samuel, Nik Nailah Binti Abdullah, Anil Raj)....Pages 249-266
 Non-local Second-Order Attention Network for Single Image Super Resolution  (Jiawen Lyn, Sen Yan)....Pages 267-279
 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
 Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints  (Martin Teuffenbach, Ewa Piatkowska, Paul Smith)....Pages 301-320
 Scenario-Based Requirements Elicitation for User-Centric Explainable AI  (Douglas Cirqueira, Dietmar Nedbal, Markus Helfert, Marija Bezbradica)....Pages 321-341
 On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural Networks  (Franz Mayr, Ramiro Visca, Sergio Yovine)....Pages 343-363
 Active Learning for Auditory Hierarchy  (William Coleman, Charlie Cullen, Ming Yan, Sarah Jane Delany)....Pages 365-384
 Improving Short Text Classification Through Global Augmentation Methods  (Vukosi Marivate, Tshephisho Sefara)....Pages 385-399
 Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM  (Lars Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa)....Pages 401-422
 A Clustering Backed Deep Learning Approach for Document Layout Analysis  (Rhys Agombar, Max Luebbering, Rafet Sifa)....Pages 423-430
 Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias  (Philipp Schmidt, Felix Biessmann)....Pages 431-449
 Applying AI in Practice: Key Challenges and Lessons Learned  (Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger et al.)....Pages 451-471
 Function Space Pooling for Graph Convolutional Networks  (Padraig Corcoran)....Pages 473-483
 Analysis of Optical Brain Signals Using Connectivity Graph Networks  (Marco Antonio Pinto-Orellana, Hugo L. Hammer)....Pages 485-497
 Property-Based Testing for Parameter Learning of Probabilistic Graphical Models  (Anna Saranti, Behnam Taraghi, Martin Ebner, Andreas Holzinger)....Pages 499-515
 An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge  (Anna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos, Christos Anagnostopoulos)....Pages 517-534
 Inter-space Machine Learning in Smart Environments  (Amin Anjomshoaa, Edward Curry)....Pages 535-549
Back Matter ....Pages 551-552