André Artelt

According to our database, André Artelt authored at least 38 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations.

André Artelt, Andreas Gregoriades

CoRR, 2024

The Effect of Data Poisoning on Counterfactual Explanations.

André Artelt, Shubham Sharma, Freddy Lécué, Barbara Hammer

CoRR, 2024

2023

Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams.

Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer

Appl. Artif. Intell., December, 2023

"I do not know! but why?" - Local model-agnostic example-based explanations of reject.

André Artelt, Roel Visser, Barbara Hammer

Neurocomputing, November, 2023

Contrasting Explanations for Understanding and Regularizing Model Adaptations.

André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer

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.

Ulrike Kuhl, André Artelt, Barbara Hammer

Frontiers Comput. Sci., 2023

For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI.

Ulrike Kuhl, André Artelt, Barbara Hammer

Proceedings of the Explainable Artificial Intelligence, 2023

Unsupervised Unlearning of Concept Drift with Autoencoders.

André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Adversarial Attacks on Leakage Detectors in Water Distribution Networks.

Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer

Proceedings of the Advances in Computational Intelligence, 2023

Spatial Graph Convolution Neural Networks for Water Distribution Systems.

Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction.

André Artelt, Alexander Schulz, Barbara Hammer

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

"How to Make Them Stay?": Diverse Counterfactual Explanations of Employee Attrition.

André Artelt, Andreas Gregoriades

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

2022

Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers.

André Artelt, Barbara Hammer

Neurocomputing, 2022

"Explain it in the Same Way!" - Model-Agnostic Group Fairness of Counterfactual Explanations.

André Artelt, Barbara Hammer

CoRR, 2022

One Explanation to Rule them All - Ensemble Consistent Explanations.

André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Marios M. Polycarpou, Barbara Hammer

CoRR, 2022

Precise Change Point Detection using Spectral Drift Detection.

Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer

CoRR, 2022

"Even if ..." - Diverse Semifactual Explanations of Reject.

André Artelt, Barbara Hammer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Localization of Concept Drift: Identifying the Drifting Datapoints.

Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer

Proceedings of the International Joint Conference on Neural Networks, 2022

Explaining Reject Options of Learning Vector Quantization Classifiers.

André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Explainable Artificial Intelligence for Improved Modeling of Processes.

Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer

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.

Valerie Vaquet, André Artelt, Johannes Brinkrolf, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

SAM-kNN Regressor for Online Learning in Water Distribution Networks.

Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer

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.

Ulrike Kuhl, André Artelt, Barbara Hammer

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Improving Zorro Explanations for Sparse Observations with Dense Proxy Data.

Andreas Mazur, André Artelt, Barbara Hammer

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Contrasting Explanation of Concept Drift.

Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Model Agnostic Local Explanations of Reject.

André Artelt, Roel Visser, Barbara Hammer

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Convex optimization for actionable \& plausible counterfactual explanations.

André Artelt, Barbara Hammer

CoRR, 2021

Fairness and Robustness of Contrasting Explanations.

André Artelt, Barbara Hammer

CoRR, 2021

Evaluating Robustness of Counterfactual Explanations.

André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Contrastive Explanations for Explaining Model Adaptations.

André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer

Proceedings of the Advances in Computational Intelligence, 2021

Efficient computation of contrastive explanations.

André Artelt, Barbara Hammer

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Kinder als Nutzende smarter Sprachassistenten.

Christian L. Geminn, Jessica M. Szczuka, Carina Weber, André Artelt, Lina Varonina

Datenschutz und Datensicherheit, 2020

Adversarial Attacks Hidden in Plain Sight.

Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD).

Fabian Hinder, André Artelt, Barbara Hammer

Proceedings of the 37th International Conference on Machine Learning, 2020

Convex Density Constraints for Computing Plausible Counterfactual Explanations.

André Artelt, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Efficient computation of counterfactual explanations of LVQ models.

André Artelt, Barbara Hammer

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

A probability theoretic approach to drifting data in continuous time domains.

Fabian Hinder, André Artelt, Barbara Hammer

CoRR, 2019

On the computation of counterfactual explanations - A survey.

André Artelt, Barbara Hammer

CoRR, 2019