index - Machine Learning and Knowledge Extraction

Table of Contents
Machine Learning and Knowledge Extraction *Andreas Holzinger, Peter Kieseberg, a Min Tjoa, Edgar Weippl*	Front Matter
Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions *Luca Longo, Randy Goebel, Freddy Lecue, Peter Kieseberg, Andreas Holzinger*	1-16
The Explanation Game: Explaining Machine Learning Models Using Shapley Values *Luke Merrick, Ankur Taly*	17-38
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI *Andrea Campagner, Federico Cabitza*	39-55
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification *Xiaoxiao Li, João Saúde*	57-76
Explainable Reinforcement Learning: A Survey *Erika Puiutta, Eric Veith*	77-95
A Projected Stochastic Gradient Algorithm for Estimating Shapley Value Applied in Attribute Importance *Grah Simon, Thouvenot Vincent*	97-115
Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees *Annabelle Redelmeier, Martin Jullum, Kjersti Aas*	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*	139-158
eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters *Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso*	159-172
Cooperation Between Data Analysts and Medical Experts: A Case Study *Judita Rokošná, František Babič, Ljiljana Majnarić, Ľudmila Pusztová*	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 Ezema, Daniel Sonntag*	191-208
The European Legal Framework for Medical AI *David Schneeberger, Karl Stöger, Andreas Holzinger*	209-226
An Efficient Method for Mining Informative Association Rules in Knowledge Extraction *Parfait Bemarisika, André Totohasina*	227-247
Interpretation of SVM Using Data Mining Technique to Extract Syllogistic Rules *Sanjay Samuel, Nik Abdullah, Anil Raj*	249-266
Non-local Second-Order Attention Network for Single Image Super Resolution *Jiawen Lyn, Sen Yan*	267-279
ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class Classifiers *Andreas Theissler, Simon Vollert, Patrick Benz, Laurentius Meerhoff, Marc Fernandes*	281-300
Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints *Martin Teuffenbach, Ewa Piatkowska, Paul Smith*	301-320
Scenario-Based Requirements Elicitation for User-Centric Explainable AI *Douglas Cirqueira, Dietmar Nedbal, Markus Helfert, Marija Bezbradica*	321-341
On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural Networks *Franz Mayr, Ramiro Visca, Sergio Yovine*	343-363
Active Learning for Auditory Hierarchy *William Coleman, Charlie Cullen, Ming Yan, Sarah Delany*	365-384
Improving Short Text Classification Through Global Augmentation Methods *Vukosi Marivate, Tshephisho Sefara*	385-399
Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM *Lars Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa*	401-422
A Clustering Backed Deep Learning Approach for Document Layout Analysis *Rhys Agombar, Max Luebbering, Rafet Sifa*	423-430
Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias *Philipp Schmidt, Felix Biessmann*	431-449
Applying AI in Practice: Key Challenges and Lessons Learned *Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, Bernhard Moser*	451-471
Function Space Pooling for Graph Convolutional Networks *Padraig Corcoran*	473-483
Analysis of Optical Brain Signals Using Connectivity Graph Networks *Marco Pinto-Orellana, Hugo Hammer*	485-497
Property-Based Testing for Parameter Learning of Probabilistic Graphical Models *Anna Saranti, Behnam Taraghi, Martin Ebner, Andreas Holzinger*	499-515
An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge *Anna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos, Christos Anagnostopoulos*	517-534
Inter-space Machine Learning in Smart Environments *Amin Anjomshoaa, Edward Curry*	535-549

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