André Artelt

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Barbara HammerProfessor, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Fabian HinderPhD student, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Valerie VaquetBielefeld UniversityVerified email at techfak.uni-bielefeld.de
Johannes BrinkrolfBielefeld UniversityVerified email at techfak.uni-bielefeld.de
Ulrike KuhlPostdoctoral researcher, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Riza VeliogluPh.D. candidate at Bielefeld UniversityVerified email at uni-bielefeld.de
Malte SchillingProfessor, Autonomous Intelligent Systems GroupVerified email at uni-muenster.de
Jan Philip GöpfertBielefeld UniversityVerified email at uni-bielefeld.de
Jessica M. SzczukaSocial Psychology: Media and Communication, University Duisburg-EssenVerified email at uni-due.de
Robert FeldhansBielefeld UniversityVerified email at techfak.uni-bielefeld.de
Marios PolycarpouProfessor, Electrical & Computer Engr., KIOS Center of Excellence, University of CyprusVerified email at ucy.ac.cy
Nicole KrämerProfessor for Social Psychology - Media and Communication, University Duisburg-EssenVerified email at uni-due.de
Heiko WersingHonda Research Institute EuropeVerified email at honda-ri.de
Martina HasenjägerHonda Research Institute Europe, Offenbach, GermanyVerified email at honda-ri.de
Inaam AshrafDoctoral Student, Bielefeld University, GermanyVerified email at techfak.uni-bielefeld.de
Christos PanayiotouKIOS Research Center of Excellence; Dep. of Electrical and Computer Eng.; University of CyprusVerified email at ucy.ac.cy
Kleanthis MalialisKIOS Research and Innovation Center of Excellence, University of CyprusVerified email at ucy.ac.cy
Andreas GregoriadesCyprus University of TechnologyVerified email at cut.ac.cy
Stelios G. VrachimisUniversity of CyprusVerified email at ucy.ac.cy
Demetrios G. EliadesAssistant Research Professor, KIOS Center of Excellence, University of CyprusVerified email at ucy.ac.cy

André Artelt

Bielefeld University

Verified email at techfak.uni-bielefeld.de - Homepage

Machine Learning XAI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On the computation of counterfactual explanations--A survey A Artelt, B Hammer arXiv preprint arXiv:1911.07749, 2019	69	2019
Convex density constraints for computing plausible counterfactual explanations A Artelt, B Hammer Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020	44	2020
Evaluating robustness of counterfactual explanations A Artelt, V Vaquet, R Velioglu, F Hinder, J Brinkrolf, M Schilling, ... 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-09, 2021	40	2021
Towards non-parametric drift detection via dynamic adapting window independence drift detection (dawidd) F Hinder, A Artelt, B Hammer International Conference on Machine Learning, 4249-4259, 2020	31	2020
CEML-counterfactuals for explaining machine learning models-a python toolbox A Artelt	18	2019
Efficient computation of counterfactual explanations of LVQ models A Artelt, B Hammer arXiv preprint arXiv:1908.00735, 2019	16	2019
Keep your friends close and your counterfactuals closer: Improved learning from closest rather than plausible counterfactual explanations in an abstract setting U Kuhl, A Artelt, B Hammer Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022	15	2022
Adversarial attacks hidden in plain sight JP Göpfert, A Artelt, H Wersing, B Hammer Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020	13	2020
Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning U Kuhl, A Artelt, B Hammer Frontiers in Computer Science 5, 1087929, 2023	11	2023
Convex optimization for actionable\& plausible counterfactual explanations A Artelt, B Hammer arXiv preprint arXiv:2105.07630, 2021	10	2021
Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers A Artelt, B Hammer Neurocomputing 470, 304-317, 2022	9	2022
Contrasting Explanation of Concept Drift. F Hinder, A Artelt, V Vaquet, B Hammer ESANN, 2022	9	2022
Efficient computation of contrastive explanations A Artelt, B Hammer 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021	7	2021
Contrastive explanations for explaining model adaptations A Artelt, F Hinder, V Vaquet, R Feldhans, B Hammer International Work-Conference on Artificial Neural Networks, 101-112, 2021	7	2021
“Even if…”–Diverse Semifactual Explanations of Reject A Artelt, B Hammer 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 854-859, 2022	6	2022
Taking care of our drinking water: dealing with sensor faults in water distribution networks V Vaquet, A Artelt, J Brinkrolf, B Hammer International Conference on Artificial Neural Networks, 682-693, 2022	6	2022
A probability theoretic approach to drifting data in continuous time domains F Hinder, A Artelt, B Hammer arXiv preprint arXiv:1912.01969, 2019	6	2019
KI-basierte Sprachassistenten im Alltag: Forschungsbedarf aus informatischer, psychologischer, ethischer und rechtlicher Sicht NC Krämer Deutsche Nationalbibliothek, 2019	6	2019
Explaining reject options of learning vector quantization classifiers A Artelt, J Brinkrolf, R Visser, B Hammer arXiv preprint arXiv:2202.07244, 2022	5	2022
Unsupervised Unlearning of Concept Drift with Autoencoders A Artelt, K Malialis, CG Panayiotou, MM Polycarpou, B Hammer 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 703-710, 2023	4	2023

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