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ORCIDAndré Artelt
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2020 – today
- 2024
[b1]André Artelt:
Contrasting Explanations in Machine Learning. Efficiency, Robustness & Applications. Bielefeld University, Germany, 2024- [j8]André Artelt, Andreas Gregoriades:
Supporting organizational decisions on How to improve customer repurchase using multi-instance counterfactual explanations. Decis. Support Syst. 182: 114249 (2024) - [j7]André Artelt
, Marios S. Kyriakou, Stelios G. Vrachimis, Demetrios G. Eliades, Barbara Hammer, Marios M. Polycarpou:
EPyT-Flow: A Toolkit for Generating Water Distribution Network Data. J. Open Source Softw. 9(103): 7104 (2024) - [c27]André Artelt, Andreas Gregoriades:
Application of Multi-Instance Counterfactual Explanation in Road Safety Analysis. ATT@ECAI 2024: 96-107 - [c26]Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer:
Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks. ICANN (9) 2024: 155-170 - [c25]Jessica M. Szczuka, Aike C. Horstmann, Natalia Szymczyk, Clara Strathmann, André Artelt, Lina Mavrina, Nicole C. Krämer:
Let Me Explain What I Did or What I Would Have Done: An Empirical Study on the Effects of Explanations and Person-Likeness on Trust in and Understanding of Algorithms. NordiCHI 2024: 18:1-18:13 - [c24]André Artelt, Andreas Gregoriades:
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 233-240 - [i29]André Artelt, Shubham Sharma, Freddy Lécué, Barbara Hammer:
The Effect of Data Poisoning on Counterfactual Explanations. CoRR abs/2402.08290 (2024) - [i28]André Artelt, Andreas Gregoriades:
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations. CoRR abs/2403.01221 (2024) - [i27]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 abs/2406.02078 (2024) - [i26]André Artelt, Barbara Hammer:
Analyzing the Influence of Training Samples on Explanations. CoRR abs/2406.03012 (2024) - [i25]Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer:
Challenges, Methods, Data - a Survey of Machine Learning in Water Distribution Networks. CoRR abs/2410.12461 (2024) - 2023
- [j6]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) - [j5]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) - [j4]André Artelt, Roel Visser, Barbara Hammer:
"I do not know! but why?" - Local model-agnostic example-based explanations of reject. Neurocomputing 558: 126722 (2023) - [j3]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Process. Lett. 55(5): 5273-5297 (2023) - [c23]André Artelt, Andreas Gregoriades:
"How to Make Them Stay?": Diverse Counterfactual Explanations of Employee Attrition. ICEIS (1) 2023: 532-538 - [c22]André Artelt, Alexander Schulz, Barbara Hammer:
"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. ICPRAM 2023: 27-38 - [c21]Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer:
Spatial Graph Convolution Neural Networks for Water Distribution Systems. IDA 2023: 29-41 - [c20]Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer:
Adversarial Attacks on Leakage Detectors in Water Distribution Networks. IWANN (2) 2023: 451-463 - [c19]André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer:
Unsupervised Unlearning of Concept Drift with Autoencoders. SSCI 2023: 703-710 - [c18]Ulrike Kuhl, André Artelt, Barbara Hammer:
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI. xAI (3) 2023: 280-300 - [i24]André Artelt, Andreas Gregoriades:
"How to make them stay?" - Diverse Counterfactual Explanations of Employee Attrition. CoRR abs/2303.04579 (2023) - [i23]Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer:
Adversarial Attacks on Leakage Detectors in Water Distribution Networks. CoRR abs/2306.06107 (2023) - [i22]Ulrike Kuhl, André Artelt, Barbara Hammer:
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI. CoRR abs/2306.07637 (2023) - 2022
- [j2]André Artelt, Barbara Hammer:
Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers. Neurocomputing 470: 304-317 (2022) - [c17]André Artelt, Roel Visser, Barbara Hammer:
Model Agnostic Local Explanations of Reject. ESANN 2022 - [c16]Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer:
Contrasting Explanation of Concept Drift. ESANN 2022 - [c15]Andreas Mazur, André Artelt, Barbara Hammer:
Improving Zorro Explanations for Sparse Observations with Dense Proxy Data. ESANN 2022 - [c14]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: 2125-2137 - [c13]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: 682-693 - [c12]Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer:
SAM-kNN Regressor for Online Learning in Water Distribution Networks. ICANN (3) 2022: 752-762 - [c11]Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer:
Explainable Artificial Intelligence for Improved Modeling of Processes. IDEAL 2022: 313-325 - [c10]André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer:
Explaining Reject Options of Learning Vector Quantization Classifiers. IJCCI 2022: 249-261 - [c9]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer:
Localization of Concept Drift: Identifying the Drifting Datapoints. IJCNN 2022: 1-9 - [c8]André Artelt, Barbara Hammer:
"Even if ..." - Diverse Semifactual Explanations of Reject. SSCI 2022: 854-859 - [i21]André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer:
Explaining Reject Options of Learning Vector Quantization Classifiers. CoRR abs/2202.07244 (2022) - [i20]Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer:
SAM-kNN Regressor for Online Learning in Water Distribution Networks. CoRR abs/2204.01436 (2022) - [i19]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 abs/2205.03398 (2022) - [i18]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 abs/2205.05515 (2022) - [i17]Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer:
Precise Change Point Detection using Spectral Drift Detection. CoRR abs/2205.06507 (2022) - [i16]André Artelt, Roel Visser, Barbara Hammer:
Model Agnostic Local Explanations of Reject. CoRR abs/2205.07623 (2022) - [i15]André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Marios M. Polycarpou, Barbara Hammer:
One Explanation to Rule them All - Ensemble Consistent Explanations. CoRR abs/2205.08974 (2022) - [i14]André Artelt, Alexander Schulz, Barbara Hammer:
"Why Here and Not There?" - Diverse Contrasting Explanations of Dimensionality Reduction. CoRR abs/2206.07391 (2022) - [i13]André Artelt, Barbara Hammer:
"Even if ..." - Diverse Semifactual Explanations of Reject. CoRR abs/2207.01898 (2022) - [i12]Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer:
Spatial Graph Convolution Neural Networks for Water Distribution Systems. CoRR abs/2211.09587 (2022) - [i11]André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer:
Unsupervised Unlearning of Concept Drift with Autoencoders. CoRR abs/2211.12989 (2022) - [i10]André Artelt, Barbara Hammer:
"Explain it in the Same Way!" - Model-Agnostic Group Fairness of Counterfactual Explanations. CoRR abs/2211.14858 (2022) - [i9]Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer:
Explainable Artificial Intelligence for Improved Modeling of Processes. CoRR abs/2212.00695 (2022) - 2021
- [c7]André Artelt, Barbara Hammer:
Efficient computation of contrastive explanations. IJCNN 2021: 1-9 - [c6]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrastive Explanations for Explaining Model Adaptations. IWANN (1) 2021: 101-112 - [c5]André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer:
Evaluating Robustness of Counterfactual Explanations. SSCI 2021: 1-9 - [i8]André Artelt, Barbara Hammer:
Fairness and Robustness of Contrasting Explanations. CoRR abs/2103.02354 (2021) - [i7]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrastive Explanations for Explaining Model Adaptations. CoRR abs/2104.02459 (2021) - [i6]André Artelt, Barbara Hammer:
Convex optimization for actionable \& plausible counterfactual explanations. CoRR abs/2105.07630 (2021) - 2020
- [j1]Christian L. Geminn, Jessica M. Szczuka, Carina Weber, André Artelt, Lina Varonina:
Kinder als Nutzende smarter Sprachassistenten. Datenschutz und Datensicherheit 44(9): 606-610 (2020) - [c4]André Artelt, Barbara Hammer:
Efficient computation of counterfactual explanations of LVQ models. ESANN 2020: 19-24 - [c3]André Artelt, Barbara Hammer:
Convex Density Constraints for Computing Plausible Counterfactual Explanations. ICANN (1) 2020: 353-365 - [c2]Fabian Hinder, André Artelt, Barbara Hammer:
Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). ICML 2020: 4249-4259 - [c1]Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer:
Adversarial Attacks Hidden in Plain Sight. IDA 2020: 235-247 - [i5]André Artelt, Barbara Hammer:
Convex Density Constraints for Computing Plausible Counterfactual Explanations. CoRR abs/2002.04862 (2020) - [i4]André Artelt, Barbara Hammer:
Efficient computation of contrastive explanations. CoRR abs/2010.02647 (2020)
2010 – 2019
- 2019
- [i3]André Artelt, Barbara Hammer:
Efficient computation of counterfactual explanations of LVQ models. CoRR abs/1908.00735 (2019) - [i2]André Artelt, Barbara Hammer:
On the computation of counterfactual explanations - A survey. CoRR abs/1911.07749 (2019) - [i1]Fabian Hinder, André Artelt, Barbara Hammer:
A probability theoretic approach to drifting data in continuous time domains. CoRR abs/1912.01969 (2019)
Coauthor Index
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last updated on 2024-12-23 19:31 CET by the dblp team
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