| 2020 | A Clustering Backed Deep Learning Approach for Document Layout Analysis. Rhys Agombar, Max Lübbering, Rafet Sifa |
| 2020 | A Projected Stochastic Gradient Algorithm for Estimating Shapley Value Applied in Attribute Importance. Grah Simon, Thouvenot Vincent |
| 2020 | 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 |
| 2020 | Active Learning for Auditory Hierarchy. William Coleman, Charlie Cullen, Ming Yan, Sarah Jane Delany |
| 2020 | An Efficient Method for Mining Informative Association Rules in Knowledge Extraction. Parfait Bemarisika, André Totohasina |
| 2020 | An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge. Anna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos, Christos Anagnostopoulos |
| 2020 | Analysis of Optical Brain Signals Using Connectivity Graph Networks. Marco Antonio Pinto-Orellana, Hugo Lewi Hammer |
| 2020 | Applying AI in Practice: Key Challenges and Lessons Learned. Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, Bernhard Moser |
| 2020 | Back to the Feature: A Neural-Symbolic Perspective on Explainable AI. Andrea Campagner, Federico Cabitza |
| 2020 | Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias. Philipp Schmidt, Felix Bießmann |
| 2020 | Cooperation Between Data Analysts and Medical Experts: A Case Study. Judita Rokosná, Frantisek Babic, Ljiljana Trtica-Majnaric, Ludmila Pusztová |
| 2020 | Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification. Xiaoxiao Li, João Saúde |
| 2020 | Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions. Luca Longo, Randy Goebel, Freddy Lécué, Peter Kieseberg, Andreas Holzinger |
| 2020 | 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 |
| 2020 | Explainable Reinforcement Learning: A Survey. Erika Puiutta, Eric M. S. P. Veith |
| 2020 | Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees. Annabelle Redelmeier, Martin Jullum, Kjersti Aas |
| 2020 | Function Space Pooling for Graph Convolutional Networks. Padraig Corcoran |
| 2020 | Improving Short Text Classification Through Global Augmentation Methods. Vukosi Marivate, Tshephisho Sefara |
| 2020 | Inter-space Machine Learning in Smart Environments. Amin Anjomshoaa, Edward Curry |
| 2020 | Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM. Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa |
| 2020 | Interpretation of SVM Using Data Mining Technique to Extract Syllogistic Rules - Exploring the Notion of Explainable AI in Diagnosing CAD. Sanjay Sekar Samuel, Nik Nailah Binti Abdullah, Anil Raj |
| 2020 | ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class Classifiers. Andreas Theissler, Simon Vollert, Patrick Benz, Laurentius Antonius Meerhoff, Marc Fernandes |
| 2020 | 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 Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar R. Weippl |
| 2020 | Non-local Second-Order Attention Network for Single Image Super Resolution. Jiawen Lyn, Sen Yan |
| 2020 | On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural Networks. Franz Mayr, Ramiro Visca, Sergio Yovine |
| 2020 | Property-Based Testing for Parameter Learning of Probabilistic Graphical Models. Anna Saranti, Behnam Taraghi, Martin Ebner, Andreas Holzinger |
| 2020 | Scenario-Based Requirements Elicitation for User-Centric Explainable AI - A Case in Fraud Detection. Douglas Cirqueira, Dietmar Nedbal, Markus Helfert, Marija Bezbradica |
| 2020 | Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints. Martin Teuffenbach, Ewa Piatkowska, Paul Smith |
| 2020 | The European Legal Framework for Medical AI. David Schneeberger, Karl Stöger, Andreas Holzinger |
| 2020 | The Explanation Game: Explaining Machine Learning Models Using Shapley Values. Luke Merrick, Ankur Taly |
| 2020 | eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters. Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso |