André Artelt

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 58

Top Topics

Water Distribution Networks

Top Venues

Publications

André Artelt, Barbara Hammer
Analyzing the Influence of Training Samples on Explanations. CoRR (2024)
André Artelt, Andreas Gregoriades
Supporting organizational decisions on How to improve customer repurchase using multi-instance counterfactual explanations. Decis. Support Syst. 182 (2024)
André Artelt, Andreas Gregoriades
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations. CoRR (2024)
André Artelt, Marios S. Kyriakou, Stelios G. Vrachimis, Demetrios G. Eliades, Barbara Hammer, Marios M. Polycarpou
A Toolbox for Supporting Research on AI in Water Distribution Networks. CoRR (2024)
André Artelt, Shubham Sharma, Freddy Lécué, Barbara Hammer
The Effect of Data Poisoning on Counterfactual Explanations. CoRR (2024)
Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams. Appl. Artif. Intell. 37 (1) (2023)
André Artelt, Alexander Schulz, Barbara Hammer
"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. ICPRAM (2023)
Ulrike Kuhl, André Artelt, Barbara Hammer
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI. CoRR (2023)
André Artelt, Andreas Gregoriades
"How to Make Them Stay?": Diverse Counterfactual Explanations of Employee Attrition. ICEIS (1) (2023)
André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
Unsupervised Unlearning of Concept Drift with Autoencoders. SSCI (2023)
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Process. Lett. 55 (5) (2023)
Ulrike Kuhl, André Artelt, Barbara Hammer
Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning. Frontiers Comput. Sci. 5 (2023)
Ulrike Kuhl, André Artelt, Barbara Hammer
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI. xAI (3) (2023)
André Artelt, Andreas Gregoriades
"How to make them stay?" - Diverse Counterfactual Explanations of Employee Attrition. CoRR (2023)
André Artelt, Roel Visser, Barbara Hammer
"I do not know! but why?" - Local model-agnostic example-based explanations of reject. Neurocomputing 558 (2023)
Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer
Spatial Graph Convolution Neural Networks for Water Distribution Systems. IDA (2023)
Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer
Adversarial Attacks on Leakage Detectors in Water Distribution Networks. CoRR (2023)
Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer
Adversarial Attacks on Leakage Detectors in Water Distribution Networks. IWANN (2) (2023)
Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
SAM-kNN Regressor for Online Learning in Water Distribution Networks. CoRR (2022)
Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
Precise Change Point Detection using Spectral Drift Detection. CoRR (2022)
Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer
Explainable Artificial Intelligence for Improved Modeling of Processes. IDEAL (2022)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer
Localization of Concept Drift: Identifying the Drifting Datapoints. IJCNN (2022)
Ulrike Kuhl, André Artelt, Barbara Hammer
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. CoRR (2022)
André Artelt, Barbara Hammer
Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers. Neurocomputing 470 (2022)
André Artelt, Barbara Hammer
"Even if ..." - Diverse Semifactual Explanations of Reject. CoRR (2022)
André Artelt, Roel Visser, Barbara Hammer
Model Agnostic Local Explanations of Reject. CoRR (2022)
André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer
Explaining Reject Options of Learning Vector Quantization Classifiers. IJCCI (2022)
Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
SAM-kNN Regressor for Online Learning in Water Distribution Networks. ICANN (3) (2022)
Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer
Explainable Artificial Intelligence for Improved Modeling of Processes. CoRR (2022)
André Artelt, Roel Visser, Barbara Hammer
Model Agnostic Local Explanations of Reject. ESANN (2022)
Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
Contrasting Explanation of Concept Drift. ESANN (2022)
André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Marios M. Polycarpou, Barbara Hammer
One Explanation to Rule them All - Ensemble Consistent Explanations. CoRR (2022)
André Artelt, Barbara Hammer
"Even if ..." - Diverse Semifactual Explanations of Reject. SSCI (2022)
Andreas Mazur, André Artelt, Barbara Hammer
Improving Zorro Explanations for Sparse Observations with Dense Proxy Data. ESANN (2022)
André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
Unsupervised Unlearning of Concept Drift with Autoencoders. CoRR (2022)
Ulrike Kuhl, André Artelt, Barbara Hammer
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning. CoRR (2022)
André Artelt, Alexander Schulz, Barbara Hammer
"Why Here and Not There?" - Diverse Contrasting Explanations of Dimensionality Reduction. CoRR (2022)
Valerie Vaquet, André Artelt, Johannes Brinkrolf, Barbara Hammer
Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks. ICANN (2) (2022)
Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer
Spatial Graph Convolution Neural Networks for Water Distribution Systems. CoRR (2022)
André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer
Explaining Reject Options of Learning Vector Quantization Classifiers. CoRR (2022)
André Artelt, Barbara Hammer
"Explain it in the Same Way!" - Model-Agnostic Group Fairness of Counterfactual Explanations. CoRR (2022)
Ulrike Kuhl, André Artelt, Barbara Hammer
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. FAccT (2022)
André Artelt, Barbara Hammer
Fairness and Robustness of Contrasting Explanations. CoRR (2021)
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
Contrastive Explanations for Explaining Model Adaptations. IWANN (1) (2021)
André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer
Evaluating Robustness of Counterfactual Explanations. SSCI (2021)
André Artelt, Barbara Hammer
Efficient computation of contrastive explanations. IJCNN (2021)
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
Contrastive Explanations for Explaining Model Adaptations. CoRR (2021)
André Artelt, Barbara Hammer
Convex optimization for actionable \& plausible counterfactual explanations. CoRR (2021)
André Artelt, Barbara Hammer
Convex Density Constraints for Computing Plausible Counterfactual Explanations. CoRR (2020)
Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer
Adversarial Attacks Hidden in Plain Sight. IDA (2020)
André Artelt, Barbara Hammer
Convex Density Constraints for Computing Plausible Counterfactual Explanations. ICANN (1) (2020)
André Artelt, Barbara Hammer
Efficient computation of counterfactual explanations of LVQ models. ESANN (2020)
Fabian Hinder, André Artelt, Barbara Hammer
Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). ICML (2020)
André Artelt, Barbara Hammer
Efficient computation of contrastive explanations. CoRR (2020)
Christian L. Geminn, Jessica M. Szczuka, Carina Weber, André Artelt, Lina Varonina
Kinder als Nutzende smarter Sprachassistenten. Datenschutz und Datensicherheit 44 (9) (2020)
Fabian Hinder, André Artelt, Barbara Hammer
A probability theoretic approach to drifting data in continuous time domains. CoRR (2019)
André Artelt, Barbara Hammer
On the computation of counterfactual explanations - A survey. CoRR (2019)
André Artelt, Barbara Hammer
Efficient computation of counterfactual explanations of LVQ models. CoRR (2019)