Explainable Artificial Intelligence: concepts, applications, research challenges and visions
Luca Longo (Technological University Dublin, Ireland)
Watch the video here: https://vimeo.com/452502885
The Explanation Game: Explaining Machine Learning Models using Shapley Values
Luke Merrick and Ankur Taly (Fiddler Labs, United States)
Watch the video here: https://vimeo.com/444522146
Back to the Feature: a Neural-Symbolic Perspective on Explainable AI
Andrea Campagner and Federico Cabitza (Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Milano, Italy)
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification
Xiaoxiao Li (Yale University, United States) and Joao Saude (Carnegie Mellon University, United States)
Explainable Reinforcement Learning: A Survey
Erika Puiutta and Eric Veith (OFFIS e.V. – Institute for Information Technology, Germany)
Watch the video here: https://vimeo.com/444529650
A Projected Stochastic Gradient for estimating Shapley Value applied in attribute importance
Simon Grah and Vincent Thouvenot (Thales SIX GTS France, France)
Explaining predictive models with mixed features using Shapley values and conditional inference trees
Annabelle Redelmeier, Martin Jullum and Kjersti Aas (Norwegian Computing Center, Norway)
Watch the video here: https://vimeo.com/444519464
Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case
Lukas Felsberger (CERN/LMU Munch, Switzerland/Germany), Andrea Apollonio (CERN, Switzerland), Thomas Cartier-Michaud (CERN, Switzerland,) Andreas Müller (Hochschule Darmstadt, Germany), Benjamin Todd (CERN, Switzerland) and Dieter Kranzlmüller (LMU Munich, Germany)
Watch the video here: https://vimeo.com/444522126
eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters
Fabio Mercorio, Mario Mezzanzanica and Andrea Seveso (University of Milano-Bicocca, Italy)
Watch the video here: https://vimeo.com/444523977
Data Understanding and Interpretation by the Cooperation of Data Analyst and Medical Expert
Judita Rokošná, Frantisek Babic (Technical university of Kosice, Slovakia), Ljiljana Trtica Majnaric (Josip Juraj Strossmayer University of Osijek, Croatia) and Ľudmila Pusztová (Technical university of Kosice, Slovakia)
A study on the fusion between pixels and patient metadata in the CNN-based classification of skin lesion images
Fabrizio Nunnari, Chirag Bhuvaneshwar, Abraham Ezema and Daniel Sonntag (German Research Center for Artificial Intelligence (DFKI), Germany)
The European legal framework for medical AI
David Schneeberger (University of Graz, Institute of Public Law and Political Science, , Austria & Medical University of Graz, Institute for Medical Informatics, Statistics and Documentation, Austria), Karl Stöger (University of Graz, Institute of Public Law and Political Science, Austria), Andreas Holzinger (Medical University of Graz, Institute for Medical Informatics, Statistics and Documentation, Austria)
Watch the video here: https://vimeo.com/444522087
An Efficient Method for Mining Informative Association Rules in Knowledge Extraction
Bemarisika Parfait and Totohasina André (Université d’Antsiranana, Madagascar)
Interpretation of SVM using Data Mining Technique to Extract Syllogistic Rules
Sanjay Sekar Samuel, Niknailah Abdullah (Monash University, Malaysia) and Anil Raj (Institute for Human and Machine Cognition, United States)
Watch the video here: https://vimeo.com/447055904
Non-Local Second-Order Attention Network For Single Image Super Resolution
Jiawen Lin (Trinity College Dublin) and Yan Sen (Trinity College Dublin)
ML-ModelExplorer: An explorative model-agnostic approach to evaluate and compare multi-class classifiers
Andreas Theissler, Simon Vollert, Patrick Benz (Aalen University of Applied Sciences, Germany), Laurentius A. Meerhoff (Leiden Institute of Advanced Computer Sciences (LIACS), Leiden University, The Netherlands) and Marc Fernandes (Aalen University of Applied Sciences, Germany)
Watch the video here: https://vimeo.com/444519473
Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints
Martin Teuffenbach, Ewa Piatkowska and Paul Smith (AIT Austrian Institute of Technology, Austria)
Watch the video here: https://vimeo.com/444529707
Scenario-based Requirements Elicitation in Explainable AI: A Case in Fraud Detection
Douglas Cirqueira (Dublin City University, Ireland), Dietmar Nedbal (University of Applied Sciences Upper Austria, Austria), Markus Helfert (Maynooth University, Ireland) and
Marija Bezbradica (Dublin City University, Ireland)
Watch the video here: https://vimeo.com/444529590
On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural Networks
Franz Mayr, Ramiro Visca, Sergio Yovine (Universidad ORT Uruguay, Uruguay)
Watch the video here: https://vimeo.com/444527114
Active Learning for Auditory Hierarchy
William Coleman, Charlie Cullen (School of Computer Science, Technological University Dublin, Ireland), Ming Yan (Xperi Corporation, UK), Sarah Jane Delany (School of Computer Science, Technological University Dublin, Ireland)
Watch the video here: https://vimeo.com/444523986
Improving short text classification through global augmentation methods
Vukosi Marivate (University of Pretoria and CSIR, South Africa) and Tshephisho Joseph Sefara (Council for Scientific and Industrial Research: South Africa, South Africa)
Watch the video here: https://vimeo.com/444527085
Interpretable Topic Extraction and Word Embedding Learning using row-stochastic DEDICOM
Lars Hillebrand, David Biesner, Christian Bauckhage (University of Bonn and Fraunhofer IAIS, Germany) and Rafet Sifa (Fraunhofer IAIS, Germany)
Watch the video here: https://vimeo.com/444524007
A Clustering Backed Deep Learning Approach for Document Layout Analysis
Rhys Agombar, Max Lübbering and Rafet Sifa (Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Germany)
Watch the video here: https://vimeo.com/444519484
Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias
Philipp Schmidt (Amazon Research, Germany) and Felix Biessmann (Amazon Research, Germany, Einstein Center Digital Future, Germany)
Watch the video here: https://vimeo.com/444519516
Applying AI in Practice: Key Challenges and Lessons Learned
Lukas Fischer (Software Competence Center Hagenberg GmbH (SCCH), Austria), Lisa Ehrlinger (Software Competence Center Hagenberg GmbH (SCCH), Austria; Johannes Kepler University, Linz, Austria), Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger and Bernhard Moser (Software Competence Center Hagenberg GmbH (SCCH), Austria)
Watch the video here: https://vimeo.com/444527067
Function Space Pooling For Graph Convolutional Networks
Padraig Corcoran (Cardiff University, Wales, United Kingdom)
Analysis of optical brain signals using connectivity graph networks
Marco A. Pinto-Orellana (Department of Mechanical, Electronics and Chemical Engineering, Faculty of Technology, Art and Design, Oslo Metropolitan University, Oslo, Norway) and Hugo L. Hammer (Department of Information Technology, Faculty of Technology, Art and Design, Oslo Metropolitan University, Oslo, Norway, Simula Metropolitan Center, Oslo Metropolitan University, Oslo, Norway)
Property-Based Testing for Parameter Learning of Probabilistic Graphical Models
Anna Saranti, Behnam Taraghi, Martin Ebner and Andreas Holzinger (Medical University of Graz, Austria)
Watch the video here: https://vimeo.com/456110457
An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge
Anna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos (University of Thessaly, Greece) and Christos Anagnostopoulos (University of Glasgow, United Kingdom)
Watch the video here: https://vimeo.com/444529532
Inter-Space Machine Learning in Smart Environments
Amin Anjomshoaa, Edward Curry (Lero – the Irish Software Research Centre, National University of Ireland, Ireland)
Applying AI in Practice: Key Challenges and Lessons Learned
Lukas Fischer (Software Competence Center Hagenberg GmbH (SCCH), Austria), Lisa Ehrlinger (Software Competence Center Hagenberg GmbH (SCCH), Austria; Johannes Kepler University, Linz, Austria), Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger and Bernhard Moser (Software Competence Center Hagenberg GmbH (SCCH), Austria)
Function Space Pooling For Graph Convolutional Networks
Padraig Corcoran (Cardiff University, Wales, United Kingdom)
Analysis of optical brain signals using connectivity graph networks
Marco A. Pinto-Orellana (Department of Mechanical, Electronics and Chemical Engineering, Faculty of Technology, Art and Design, Oslo Metropolitan University, Oslo, Norway) and Hugo L. Hammer (Department of Information Technology, Faculty of Technology, Art and Design, Oslo Metropolitan University, Oslo, Norway, Simula Metropolitan Center, Oslo Metropolitan University, Oslo, Norway)
Property-Based Testing for Parameter Learning of Probabilistic Graphical Models
Anna Saranti, Behnam Taraghi, Martin Ebner and Andreas Holzinger (Medical University of Graz, Austria)
An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge
Anna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos (University of Thessaly, Greece) and Christos Anagnostopoulos (University of Glasgow, United Kingdom)
Inter-Space Machine Learning in Smart Environments
Amin Anjomshoaa, Edward Curry (Lero – the Irish Software Research Centre, National University of Ireland, Ireland)