André Artelt

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Citations	482	481
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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
Marios PolycarpouProfessor, Electrical & Computer Engr., KIOS Center of Excellence, University of CyprusVerified email at ucy.ac.cy
Inaam AshrafDoctoral Student, Bielefeld University, GermanyVerified email at techfak.uni-bielefeld.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
Andreas GregoriadesCyprus University of TechnologyVerified email at cut.ac.cy
Robert FeldhansBielefeld UniversityVerified email at techfak.uni-bielefeld.de
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
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
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

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	76	2019
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	55	2021
Convex density constraints for computing plausible counterfactual explanations A Artelt, B Hammer Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020	49	2020
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	40	2020
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	21	2022
Efficient computation of counterfactual explanations of LVQ models A Artelt, B Hammer arXiv preprint arXiv:1908.00735, 2019	18	2019
CEML-counterfactuals for explaining machine learning models-a python toolbox A Artelt	18	2019
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	16	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	14	2023
Contrasting Explanation of Concept Drift. F Hinder, A Artelt, V Vaquet, B Hammer ESANN, 2022	13	2022
“Even if…”–Diverse Semifactual Explanations of Reject A Artelt, B Hammer 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 854-859, 2022	11	2022
Explaining reject options of learning vector quantization classifiers A Artelt, J Brinkrolf, R Visser, B Hammer arXiv preprint arXiv:2202.07244, 2022	11	2022
Model agnostic local explanations of reject A Artelt, R Visser, B Hammer arXiv preprint arXiv:2205.07623, 2022	10	2022
Efficient computation of contrastive explanations A Artelt, B Hammer 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021	10	2021
Convex optimization for actionable\& plausible counterfactual explanations A Artelt, B Hammer arXiv preprint arXiv:2105.07630, 2021	10	2021
Spatial graph convolution neural networks for water distribution systems I Ashraf, L Hermes, A Artelt, B Hammer International Symposium on Intelligent Data Analysis, 29-41, 2023	9	2023
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	9	2022
Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers A Artelt, B Hammer Neurocomputing 470, 304-317, 2022	9	2022
Localization of concept drift: Identifying the drifting datapoints F Hinder, V Vaquet, J Brinkrolf, A Artelt, B Hammer 2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022	8	2022
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

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