Note: Papers are listed in no specific order.
An Empirical Analysis of Synthetic-Data-based Anomaly Detection
Majlinda Llugiqi (Vienna University of Technology) and Rudolf Mayer (SBA Research & Vienna University of Technology)
Machine learning and knowledge extraction to support work safety for smart forest operations
Ferdinand Hönigsberger (University of Natural Resources and Life Sciences, Vienna), Anna Saranti (University of Natural Resources and Life Sciences, Vienna), Alessa Angerschmid (University of Natural Resources and Life Sciences, Vienna), Carl Orge Retzlaff (University of Natural Resources and Life Sciences, Vienna), Christoph Gollob (University of Natural Resources and Life Sciences, Vienna), Sarah Witzmann (University of Natural Resources and Life Sciences, Vienna), Arne Nothdurft (University of Natural Resources and Life Sciences, Vienna), Peter Kieseberg (University of Applied Sciences St.Poelten), Andreas Holzinger (University of Natural Resources and Life Sciences, Vienna) and Karl Stampfer (University of Natural Resources and Life Sciences, Vienna)
Approximation of SHAP values for Randomized Tree Ensembles
Markus Loecher (Berlin School of Economics and Law), Dingyi Lai (Dept. of Statistics, Humboldt University), Wu Qi (Dept. of Statistics, Humboldt University)
How to Reduce the Time Necessary for Evaluation of Tree-based Models
Viera Anderková and František Babič (Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and In-formatics, Technical University of Košice)
SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patient
František Babič (Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and
Informatics, Technical University of Košice), Viera Anderková (Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and
Informatics, Technical University of Košice), Zvonimir Bosnić (Department of Family Medicine, Faculty of Medicine, Josip Juraj Strossmayer University of
Osijek), Mile Volarić (Faculty of Medicine, Josip Juraj Strossmayer University of Osijek), Ljiljana Trtica Majnarić (Department of Family Medicine, Faculty of Medicine, Josip Juraj Strossmayer University of
Osijek)
Debiasing MDI Feature Importance and SHAP values in Tree Ensembles
Markus Loecher (Berlin School of Economics and Law)
Classification of Screenshot Image Captured in Online Meeting System
Minoru Kuribayashi, Kodai Kamakari and Nobuo Funabiki (Graduate School of Natural Science and Technology, Okayama University)
Evaluating the performance of SOBEK text mining keyword extraction algorithm
Eliseo Reategui (PGIE, UFRGS), Marcio Bigolin (PGIE, UFRGS, IFRS), Michel Carniato (PUCRS), Rafael Antunes dos Santos (PGIE, UFRGS)
Towards Generating Financial Reports From Tabular Data Using Transformers
Clayton Leroy Chapman (University of Bonn), Lars Hillebrand (University of Bonn, Fraunhofer IAIS), Marc Robin Stenzel (Fraunhofer IAIS), Tobias Deußer (University of Bonn, Fraunhofer IAIS), David Biesner (University of Bonn, Fraunhofer IAIS), Christian Bauckhage (University of Bonn, Fraunhofer IAIS) and Rafet Sifa (Fraunhofer IAIS)
Comparing machine learning correlations to domain experts’ causal knowledge: Employee turnover use case
Eya Meddeb (Department of Computing, Worcester Business School, University of Worcester), Christopher Bowers (Department of Computing, Worcester Business School, University of Worcester), Lynn Nichol (Worcester Business School, University of Worcester)
An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments
Alain Andres (TECNALIA, Basque Research & Technology Alliance (BRTA), University of the Basque Country (UPV/EHU)), Esther Villar-Rodriguez (TECNALIA, Basque Research & Technology Alliance (BRTA)) and Javier Del Ser (TECNALIA, Basque Research & Technology Alliance (BRTA), University of the Basque Country (UPV/EHU))
Semantic Causal Abstraction for Event Prediction
Sasha Strelnikoff, Aruna Jammalamadaka and Tsai-Ching Lu (Information Systems and Sciences Laboratory, HRL Laboratories, LLC)
Color shadows (part I): exploratory usability evaluation of activation maps in radiological machine learning
Federico Cabitza (Universit´a degli Studi di Milano-Bicocca, IRCCS Istituto Galeazzi Milano), Andrea Campagner (Universit´a degli Studi di Milano-Bicocca), Lorenzo Famiglini (Universit´a degli Studi di Milano-Bicocca), Enrico Gallazzi (Istituto Ortopedico Gaetano Pini — ASST Pini-CTO) and Giovanni Andrea La Maida (Istituto Ortopedico Gaetano Pini — ASST Pini-CTO)
A survey on the application of virtual reality in event-related potential research
Vladimir Marochko (The Artificial Intelligence and Cognitive Load research lab, the Applied Intelligence Research Center, School of Computer Science, Technological University Dublin), Richard Reilly (School of Medicine, Institute of Neuroscience, Trinity College Dublin, The University of Dublin), Rachel McDonnell (School of Computer Science and Statistics, The University of Dublin, Trinity College) and Luca Longo (The Artificial Intelligence and Cognitive Load research lab, the Applied Intelligence Research Center, School of Computer Science, Technological University Dublin)
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI
Sami Ede (Fraunhofer Heinrich Hertz Institute), Serop Baghdadlian (Fraunhofer Heinrich Hertz Institute), Leander Weber (Fraunhofer Heinrich Hertz Institute), An Nguyen (Friedrich Alexander-Universität Erlangen-Nürnberg), Dario Zanca (Friedrich Alexander-Universität Erlangen-Nürnberg), Wojciech Samek (Fraunhofer Heinrich Hertz Institute, Technische Universität Berlin, BIFOLD – Berlin Institute for the Foundations of Learning and Data and Sebastian Lapuschkin (Fraunhofer Heinrich Hertz Institute)
The Influence of User Diversity on Motives and Barriers when Using Health Apps – A Conjoint Investigation of the Intention-Behavior Gap
Eva Rössler (Human-Computer Interaction Center, RWTH Aachen University), Patrick Halbach (Human-Computer Interaction Center, RWTH Aachen University), Laura Burbach (Human-Computer Interaction Center, RWTH Aachen University), Martina Ziefle (Human-Computer Interaction Center, RWTH Aachen University), and André Calero Valdez (Institute for Multimedia and Interactive Systems, University of Lübeck)
Visualizing Large Collections of URLs Using the Hilbert Curve
Poornima Belavadi (Human-Computer Interaction Center, RWTH Aachen University), Johannes Nakayama (Human-Computer Interaction Center, RWTH Aachen University), and André Calero Valdez (Institute for Multimedia and Interactive Systems, University of Lübeck)
Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation
Tomas Cabezon Pedroso (Carnegie Mellon University), Javier Del Ser (TECNALIA, Basque Research & Technology Alliance (BRTA), University of the Basque Country (UPV/EHU)) and Natalia Díaz-Rodríguez (Department of Computer Sciences and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), CITIC, University of Granada)
The ROC Diagonal is not Layperson’s Chance: a New Baseline Shows the Useful Area
André M. Carrington (Department of Radiology, Radiation Oncology and Medical Physics, Faculty of Medicine, University of Ottawa and the Ottawa Hospital), Paul W. Fieguth (Department of Systems Design Engineering, University of Waterloo), Franz Mayr (Faculty of Engineering, Universidad ORT Uruguay), Nick D. James (Software Solutions, Systems Integration and Architecture, The Ottawa Hospital), Andreas Holzinger (University of Natural Resources and Life Sciences Vienna), John W. Pickering (Christchurch Heart Institute, Department of Medicine, University of Otago) and Richard I. Aviv (Department of Radiology, Radiation Oncology and Medical Physics, Faculty of Medicine, University of Ottawa and the Ottawa Hospital))
Identifying Fraud Rings Using Domain Aware Weighted Community Detection
Shaik Masihullah, Meghana Negi, Jose Matthew, and Jairaj Sathyanarayana (Swiggy, Bangalore)
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration
Federico Cabitza (Dipartimento di Informatica, Sistemistica e Comunicazione, University of
Milano-Bicocca, IRCCS Istituto Ortopedico Galeazzi), Andrea Campagner (Dipartimento di Informatica, Sistemistica e Comunicazione, University of Milano-Bicocca) and Lorenzo Famiglini (Dipartimento di Informatica, Sistemistica e Comunicazione, University of Milano-Bicocca)
Towards Refined Classifications driven by SHAP explanations
Yusuf Arslan (SnT – University of Luxembourg), Bertrand Lebichot (SnT – University of Luxembourg), Kevin Allix (SnT – University of Luxembourg), Lisa Veiber (SnT – University of Luxembourg), Clément Lefebvre (BGL BNP Paribas), Andrey Boytsov (BGL BNP Paribas), Anne Goujon (BGL BNP Paribas), Tegawendé F. Bissyandé (SnT – University of Luxembourg) and Jacques Klein (SnT – University of Luxembourg)