André Artelt
Orcid: 0000-0002-2426-3126
According to our database1,
André Artelt
authored at least 42 papers
between 2019 and 2024.
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Bibliography
2024
PhD thesis, 2024
Supporting organizational decisions on How to improve customer repurchase using multi-instance counterfactual explanations.
Decis. Support Syst., 2024
CoRR, 2024
2023
Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams.
Appl. Artif. Intell., December, 2023
"I do not know! but why?" - Local model-agnostic example-based explanations of reject.
Neurocomputing, November, 2023
Neural Process. Lett., October, 2023
Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning.
Frontiers Comput. Sci., 2023
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI.
Proceedings of the Explainable Artificial Intelligence, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023
"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023
2022
Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers.
Neurocomputing, 2022
"Explain it in the Same Way!" - Model-Agnostic Group Fairness of Counterfactual Explanations.
CoRR, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2021
CoRR, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the Advances in Computational Intelligence, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD).
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
CoRR, 2019