41 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993831Let 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 AlgorithmsPUB | DOI | Download (ext.) | WoS
Szczuka, Jessica M., 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 '24: Proceedings of the 13th Nordic Conference on Human-Computer Interaction (). New York, USA, 2024 -
2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2993739Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution NetworksPUB | DOI | WoS
Vaquet, Valerie, Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks. Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX (). Cham, 2024 -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2994227EPyT-Flow: A Toolkit for Generating Water DistributionNetwork DataPUB | DOI
Artelt, André, EPyT-Flow: A Toolkit for Generating Water DistributionNetwork Data. Journal of Open Source Software 9 (103). , 2024 -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2990768Supporting organizational decisions on How to improve customer repurchase using multi-instance counterfactual explanationsPUB | DOI | WoS
Artelt, André, Supporting organizational decisions on How to improve customer repurchase using multi-instance counterfactual explanations. Decision Support Systems 182 (). , 2024 -
2024 | Bielefelder E-Dissertation | PUB-ID: 2985769
Contrasting Explanations in Machine Learning. Efficiency, Robustness & ApplicationsPUB | PDF | DOI
Artelt, André, Contrasting Explanations in Machine Learning. Efficiency, Robustness & Applications. (). Bielefeld, 2024 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984049Spatial Graph Convolution Neural Networks for Water Distribution SystemsPUB | DOI
Ashraf, Muhammad Inaam, Spatial Graph Convolution Neural Networks for Water Distribution Systems. Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings (). Cham, 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983795For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAIPUB | DOI | WoS
Kuhl, Ulrike, For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAI. Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part III (). Cham, 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979026Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data StreamsPUB | DOI | WoS
Jakob, Jonathan, Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams. Applied Artificial Intelligence 37 (1). , 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969734
Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learningPUB | PDF | DOI | Download (ext.) | WoS | arXiv
Kuhl, Ulrike, Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning. Frontiers in Computer Science 5 (). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969383"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality ReductionPUB | DOI | arXiv
Artelt, André, "Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (). Setúbal, Portugal, 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985571Unsupervised Unlearning of Concept Drift with AutoencodersPUB | DOI
Artelt, André, Unsupervised Unlearning of Concept Drift with Autoencoders. 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (). , 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983728"I do not know! but why?"- Local model-agnostic example-based explanations of rejectPUB | DOI | WoS
Artelt, André, "I do not know! but why?"- Local model-agnostic example-based explanations of reject. Neurocomputing 558 (). , 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983406Adversarial Attacks on Leakage Detectors in Water Distribution NetworksPUB | DOI | Preprint
Stahlhofen, Paul, Adversarial Attacks on Leakage Detectors in Water Distribution Networks. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II (). Cham, 2023 -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962746
Contrasting Explanations for Understanding and Regularizing Model AdaptationsPUB | PDF | DOI | Download (ext.) | WoS
Artelt, André, Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Processing Letters 55 (). , 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969736Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract SettingPUB | DOI | Download (ext.)
Kuhl, Ulrike, Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. 2022 ACM Conference on Fairness, Accountability, and Transparency (). New York, NY, USA, 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969461“Even if …” – Diverse Semifactual Explanations of RejectPUB | DOI
Artelt, André, “Even if …” – Diverse Semifactual Explanations of Reject. 2022 IEEE Symposium Series on Computational Intelligence (SSCI) (). Piscataway, NJ, 2022 -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296Explainable Artificial Intelligence for Improved Modeling of ProcessesPUB | DOI
Velioglu, Riza, Explainable Artificial Intelligence for Improved Modeling of Processes. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings 13756 (). Cham, 2022 -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2969459SAM-kNN Regressor for Online Learning in Water Distribution NetworksPUB | DOI
Jakob, Jonathan, SAM-kNN Regressor for Online Learning in Water Distribution Networks. Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part III 13531 (). Cham, 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969460Explaining Reject Options of Learning Vector Quantization ClassifiersPUB | DOI
Artelt, André, Explaining Reject Options of Learning Vector Quantization Classifiers. Proceedings of the 14th International Joint Conference on Computational Intelligence (). , 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088Localization of Concept Drift: Identifying the Drifting DatapointsPUB | DOI | Download (ext.)
Hinder, Fabian, Localization of Concept Drift: Identifying the Drifting Datapoints. 2022 International Joint Conference on Neural Networks (IJCNN) (). , 2022 -
2022 | Report | Veröffentlicht | PUB-ID: 2965286Faire Algorithmen und die Fairness von Erklärungen: Informatische, rechtliche und ethische PerspektivenPUB | DOI | Download (ext.)
Artelt, André, Faire Algorithmen und die Fairness von Erklärungen: Informatische, rechtliche und ethische Perspektiven. (). , 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962650
Taking care of our drinking water: Dealing with Sensor Faults in Water Distribution NetworksPUB | PDF
Vaquet, Valerie, Taking care of our drinking water: Dealing with Sensor Faults in Water Distribution Networks. (). , 2022 -
2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861Localization of Concept Drift: Identifying the Drifting DatapointsPUB
Hinder, Fabian, Localization of Concept Drift: Identifying the Drifting Datapoints. (). , 2022 -
2022 | Preprint | PUB-ID: 2962919
One Explanation to Rule them All — Ensemble Consistent ExplanationsPUB | PDF | Download (ext.) | arXiv
Artelt, André, One Explanation to Rule them All — Ensemble Consistent Explanations. ArXiv:2205.08974 (). , 2022 -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957340Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiersPUB | DOI | Download (ext.) | WoS
Artelt, André, Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers. Neurocomputing 470 (VSI: ESANN 2020). , 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957373Contrastive Explanations for Explaining Model AdaptationsPUB | DOI
Artelt, André, Contrastive Explanations for Explaining Model Adaptations. Advances in Computational Intelligence. 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I (). Cham, 2021 -
2021 | Preprint | PUB-ID: 2959899Convex optimization for actionable & plausible counterfactual explanationsPUB | Download (ext.) | arXiv
Artelt, André, Convex optimization for actionable & plausible counterfactual explanations. arXiv: 2105.07630v1 (). , 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747Evaluating Robustness of Counterfactual ExplanationsPUB | DOI
Artelt, André, Evaluating Robustness of Counterfactual Explanations. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (). Piscataway, NJ, 2021 -
2021 | Report | Veröffentlicht | PUB-ID: 2954239Können Kinder aufgeklärte Nutzer* innen von Sprachassistenten sein? Rechtliche, psychologische, ethische und informatische PerspektivenPUB | DOI
Szczuka, Jessica, Können Kinder aufgeklärte Nutzer* innen von Sprachassistenten sein? Rechtliche, psychologische, ethische und informatische Perspektiven. (). Essen, 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957588Efficient computation of contrastive explanationsPUB | DOI | Download (ext.)
Artelt, André, Efficient computation of contrastive explanations. 2021 International Joint Conference on Neural Networks (IJCNN) (). New York, 2021 -
2020 | Konferenzbeitrag | PUB-ID: 2946488Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)PUB | Download (ext.)
Hinder, Fabian, Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). Proceedings of the 37th International Conference on Machine Learning (). , 2020 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946685Efficient computation of counterfactual explanations of LVQ modelsPUB | Download (ext.)
Artelt, André, Efficient computation of counterfactual explanations of LVQ models. ESANN 2020 - proceedings (). Louvain-la-Neuve, 2020 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946761Convex Density Constraints for Computing Plausible Counterfactual ExplanationsPUB | DOI | Download (ext.)
Artelt, André, Convex Density Constraints for Computing Plausible Counterfactual Explanations. Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part {I} 12396 (). Cham, 2020 -
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945878Kinder als Nutzende smarter Sprachassistenten Spezieller Gestaltungsbedarf zum Schutz von KindernPUB | DOI | Download (ext.)
Geminn, Christian L., Kinder als Nutzende smarter Sprachassistenten Spezieller Gestaltungsbedarf zum Schutz von Kindern. Datenschutz und Datensicherheit - DuD 44 (9). , 2020 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957814Improving and Evaluating Conversational User Interfaces for ChildrenPUB
Krämer, Nicole, Improving and Evaluating Conversational User Interfaces for Children. IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces (). New York, 2020 -
2019 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2935044
Continuous online user authentication based on keystroke dynamicsPUB | Dateien verfügbar
Artelt, André, Continuous online user authentication based on keystroke dynamics. (). , 2019 -
2019 | Preprint | PUB-ID: 2959898On the computation of counterfactual explanations - A surveyPUB | Download (ext.) | arXiv
Artelt, André, On the computation of counterfactual explanations - A survey. arXiv: 1911.07749v1 (). , 2019 -
2019 | Datenpublikation | PUB-ID: 2936468
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolboxPUB | Dateien verfügbar | DOI
Artelt, André, CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox . (). , 2019 -
2019 | Monographie | PUB-ID: 2935200
Lecture Notes on Applied OptimizationPUB | Dateien verfügbar
Paaßen, Benjamin, Lecture Notes on Applied Optimization. (). Faculty of Technology, Bielefeld University, 2019 -
2019 | Report | Veröffentlicht | PUB-ID: 2937888KI-basierte Sprachassistenten im Alltag: Forschungsbedarf aus informatischer, psychologischer, ethischer und rechtlicher SichtPUB | DOI | Download (ext.)
Krämer, Nicole, KI-basierte Sprachassistenten im Alltag: Forschungsbedarf aus informatischer, psychologischer, ethischer und rechtlicher Sicht. (). , 2019 -
2019 | Monographie | PUB-ID: 2936408
Introduction to Machine Learning - Supplementary notesPUB | PDF
Artelt, André, Introduction to Machine Learning - Supplementary notes. (). Universität Bielefeld, 2019