Table of Contents

• Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and VisionsLuca Longo, Randy Goebel, Freddy Lécué, Peter Kieseberg, Andreas Holzinger. 1-16 [doi]
• The Explanation Game: Explaining Machine Learning Models Using Shapley ValuesLuke Merrick, Ankur Taly. 17-38 [doi]
• Back to the Feature: A Neural-Symbolic Perspective on Explainable AIAndrea Campagner, Federico Cabitza. 39-55 [doi]
• Explain Graph Neural Networks to Understand Weighted Graph Features in Node ClassificationXiaoxiao Li, João Saúde. 57-76 [doi]
• Explainable Reinforcement Learning: A SurveyErika Puiutta, Eric M. S. P. Veith. 77-95 [doi]
• A Projected Stochastic Gradient Algorithm for Estimating Shapley Value Applied in Attribute ImportanceGrah Simon, Thouvenot Vincent. 97-115 [doi]
• Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference TreesAnnabelle Redelmeier, Martin Jullum, Kjersti Aas. 117-137 [doi]
• Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-CaseLukas Felsberger, Andrea Apollonio, Thomas Cartier-Michaud, Andreas Müller, Benjamin Todd, Dieter Kranzlmüller. 139-158 [doi]
• eXDiL: A Tool for Classifying and eXplaining Hospital Discharge LettersFabio Mercorio, Mario Mezzanzanica, Andrea Seveso. 159-172 [doi]
• Cooperation Between Data Analysts and Medical Experts: A Case StudyJudita Rokosná, Frantisek Babic, Ljiljana Trtica-Majnaric, Ludmila Pusztová. 173-190 [doi]
• A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion ImagesFabrizio Nunnari, Chirag Bhuvaneshwara, Abraham Obinwanne Ezema, Daniel Sonntag. 191-208 [doi]
• The European Legal Framework for Medical AIDavid Schneeberger, Karl Stöger, Andreas Holzinger. 209-226 [doi]
• An Efficient Method for Mining Informative Association Rules in Knowledge ExtractionParfait Bemarisika, André Totohasina. 227-247 [doi]
• Interpretation of SVM Using Data Mining Technique to Extract Syllogistic Rules - Exploring the Notion of Explainable AI in Diagnosing CADSanjay Sekar Samuel, Nik Nailah Binti Abdullah, Anil Raj. 249-266 [doi]
• Non-local Second-Order Attention Network for Single Image Super ResolutionJiawen Lyn, Sen Yan. 267-279 [doi]
• ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class ClassifiersAndreas Theissler, Simon Vollert, Patrick Benz, Laurentius Antonius Meerhoff, Marc Fernandes. 281-300 [doi]
• Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific ConstraintsMartin Teuffenbach, Ewa Piatkowska, Paul Smith. 301-320 [doi]
• Scenario-Based Requirements Elicitation for User-Centric Explainable AI - A Case in Fraud DetectionDouglas Cirqueira, Dietmar Nedbal, Markus Helfert, Marija Bezbradica. 321-341 [doi]
• On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural NetworksFranz Mayr, Ramiro Visca, Sergio Yovine. 343-363 [doi]
• Active Learning for Auditory HierarchyWilliam Coleman, Charlie Cullen, Ming Yan, Sarah Jane Delany. 365-384 [doi]
• Improving Short Text Classification Through Global Augmentation MethodsVukosi N. Marivate, Tshephisho Sefara. 385-399 [doi]
• Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOMLars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa. 401-422 [doi]
• A Clustering Backed Deep Learning Approach for Document Layout AnalysisRhys Agombar, Max Lübbering, Rafet Sifa. 423-430 [doi]
• Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic BiasPhilipp Schmidt, Felix Bießmann. 431-449 [doi]
• Applying AI in Practice: Key Challenges and Lessons LearnedLukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, Bernhard Moser. 451-471 [doi]
• Function Space Pooling for Graph Convolutional NetworksPadraig Corcoran. 473-483 [doi]
• Analysis of Optical Brain Signals Using Connectivity Graph NetworksMarco Antonio Pinto-Orellana, Hugo Lewi Hammer. 485-497 [doi]
• Property-Based Testing for Parameter Learning of Probabilistic Graphical ModelsAnna Saranti, Behnam Taraghi, Martin Ebner, Andreas Holzinger. 499-515 [doi]
• An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the EdgeAnna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos, Christos Anagnostopoulos. 517-534 [doi]
• Inter-space Machine Learning in Smart EnvironmentsAmin Anjomshoaa, Edward Curry. 535-549 [doi]