André Artelt

aartelt@techfak.uni-bielefeld.de
ORCID logo https://orcid.org/0000-0002-2426-3126

PEVZ-ID
170245986

41 Publikationen

Alle markieren

  • [41]
    2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993831
    Szczuka, Jessica M., Horstmann, Aike C., Szymczyk, Natalia, Strathmann, Clara, Artelt, André, Mavrina, Lina, and Krämer, Nicole. 2024. “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”. In NordiCHI '24: Proceedings of the 13th Nordic Conference on Human-Computer Interaction, ed. Association for Computing Machinery. New York, USA: 18.
    PUB | DOI | Download (ext.) | WoS
     
  • [40]
    2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2993739
    Vaquet, Valerie, Hinder, Fabian, Artelt, André, Ashraf, Inaam, Strotherm, Janine, Vaquet, Jonas, Brinkrolf, Johannes, and Hammer, Barbara. 2024. “Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks”. In Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX, ed. Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, and Igor V. Tetko, 155-170. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland.
    PUB | DOI | WoS
     
  • [39]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2994227
    Artelt, André, Kyriakou, Marios S., Vrachimis, Stelios G., Eliades, Demetrios G., Hammer, Barbara, and Polycarpou, Marios M. 2024. “EPyT-Flow: A Toolkit for Generating Water DistributionNetwork Data”. Journal of Open Source Software 9 (103): 7104.
    PUB | DOI
     
  • [38]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2990768
    Artelt, André, and Gregoriades, Andreas. 2024. “Supporting organizational decisions on How to improve customer repurchase using multi-instance counterfactual explanations”. Decision Support Systems 182: 114249.
    PUB | DOI | WoS
     
  • [37]
    2024 | Bielefelder E-Dissertation | PUB-ID: 2985769 OA
    Artelt, André. 2024. Contrasting Explanations in Machine Learning. Efficiency, Robustness & Applications. Bielefeld: Universität Bielefeld.
    PUB | PDF | DOI
     
  • [36]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984049
    Ashraf, Muhammad Inaam, Hermes, Luca, Artelt, André, and Hammer, Barbara. 2023. “Spatial Graph Convolution Neural Networks for Water Distribution Systems”. In Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings, ed. Bruno Crémilleux, Sibylle Hess, and Siegfried Nijssen, 29-41. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland.
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  • [35]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983795
    Kuhl, Ulrike, Artelt, André, and Hammer, Barbara. 2023. “For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAI”. In Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part III, ed. Luca Longo, 280-300. Communications in Computer and Information Science. Cham: Springer Nature Switzerland.
    PUB | DOI | WoS
     
  • [34]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979026
    Jakob, Jonathan, Artelt, André, Hasenjäger, Martina, and Hammer, Barbara. 2023. “Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams”. Applied Artificial Intelligence 37 (1): 2198846.
    PUB | DOI | WoS
     
  • [33]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969734 OA
    Kuhl, Ulrike, Artelt, André, and Hammer, Barbara. 2023. “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: 1087929.
    PUB | PDF | DOI | Download (ext.) | WoS | arXiv
     
  • [32]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969383
    Artelt, André, Schulz, Alexander, and Hammer, Barbara. 2023. “"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction”. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 27-38. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications.
    PUB | DOI | arXiv
     
  • [31]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985571
    Artelt, André, Malialis, Kleanthis, Panayiotou, Christos G., Polycarpou, Marios M., and Hammer, Barbara. 2023. “Unsupervised Unlearning of Concept Drift with Autoencoders”. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 703-710. IEEE.
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  • [30]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983728
    Artelt, André, Visser, Roel, and Hammer, Barbara. 2023. “"I do not know! but why?"- Local model-agnostic example-based explanations of reject”. Neurocomputing 558: 126722.
    PUB | DOI | WoS
     
  • [29]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983406
    Stahlhofen, Paul, Artelt, André, Hermes, Luca, and Hammer, Barbara. 2023. “Adversarial Attacks on Leakage Detectors in Water Distribution Networks”. In Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II, ed. Ignacio Rojas, Gonzalo Joya, and Andreu Catala, 451-463. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland.
    PUB | DOI | Preprint
     
  • [28]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962746 OA
    Artelt, André, Hinder, Fabian, Vaquet, Valerie, Feldhans, Robert, and Hammer, Barbara. 2022. “Contrasting Explanations for Understanding and Regularizing Model Adaptations”. Neural Processing Letters 55: 5273–5297.
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  • [27]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969736
    Kuhl, Ulrike, Artelt, André, and Hammer, Barbara. 2022. “Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting”. In 2022 ACM Conference on Fairness, Accountability, and Transparency, 2125-2137. New York, NY, USA: ACM.
    PUB | DOI | Download (ext.)
     
  • [26]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969461
    Artelt, André, and Hammer, Barbara. 2022. ““Even if …” – Diverse Semifactual Explanations of Reject”. In 2022 IEEE Symposium Series on Computational Intelligence (SSCI), ed. Hisao Ishibuchi, 854-859. Piscataway, NJ: IEEE.
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  • [25]
    2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296
    Velioglu, Riza, Göpfert, Jan Philip, Artelt, André, and Hammer, Barbara. 2022. “Explainable Artificial Intelligence for Improved Modeling of Processes”. In Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, ed. Hujun Yin, David Camacho, and Peter Tino, 13756:313-325. Lecture Notes in Computer Science. Cham: Springer International Publishing.
    PUB | DOI
     
  • [24]
    2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2969459
    Jakob, Jonathan, Artelt, André, Hasenjäger, Martina, and Hammer, Barbara. 2022. “SAM-kNN Regressor for Online Learning in Water Distribution Networks”. In Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part III, ed. Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, and Mehmet Aydin, 13531:752-762. Lecture Notes in Computer Science. Cham: Springer Nature .
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  • [23]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969460
    Artelt, André, Brinkrolf, Johannes, Visser, Roel, and Hammer, Barbara. 2022. “Explaining Reject Options of Learning Vector Quantization Classifiers”. In Proceedings of the 14th International Joint Conference on Computational Intelligence, 249-261. SCITEPRESS - Science and Technology Publications.
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  • [22]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088
    Hinder, Fabian, Vaquet, Valerie, Brinkrolf, Johannes, Artelt, André, and Hammer, Barbara. 2022. “Localization of Concept Drift: Identifying the Drifting Datapoints”. In 2022 International Joint Conference on Neural Networks (IJCNN), 1-9. IEEE.
    PUB | DOI | Download (ext.)
     
  • [21]
    2022 | Report | Veröffentlicht | PUB-ID: 2965286
    Artelt, André, Geminn, Christian, Hammer, Barbara, Manzeschke, Arne, Mavrina, Lina, and Weber, Carina. 2022. Faire Algorithmen und die Fairness von Erklärungen: Informatische, rechtliche und ethische Perspektiven. DuEPublico: Duisburg-Essen Publications online, University of Duisburg-Essen, Germany.
    PUB | DOI | Download (ext.)
     
  • [20]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962650 OA
    Vaquet, Valerie, Artelt, André, Brinkrolf, Johannes, and Hammer, Barbara. 2022. “Taking care of our drinking water: Dealing with Sensor Faults in Water Distribution Networks”. Presented at the 31st International Conference on Artificial Neural Networks, Bristol .
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  • [19]
    2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861
    Hinder, Fabian, Vaquet, Valerie, Brinkrolf, Johannes, Artelt, André, and Hammer, Barbara. 2022. “Localization of Concept Drift: Identifying the Drifting Datapoints”. Presented at the .
    PUB
     
  • [18]
    2022 | Preprint | PUB-ID: 2962919 OA
    Artelt, André, Vrachimis, Stelios, Eliades, Demetrios, Polycarpou, Marios, and Hammer, Barbara. 2022. “One Explanation to Rule them All — Ensemble Consistent Explanations”. ArXiv:2205.08974 .
    PUB | PDF | Download (ext.) | arXiv
     
  • [17]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957340
    Artelt, André, and Hammer, Barbara. 2021. “Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers”. Neurocomputing 470 (VSI: ESANN 2020): 304-317.
    PUB | DOI | Download (ext.) | WoS
     
  • [16]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957373
    Artelt, André, Hinder, Fabian, Vaquet, Valerie, Feldhans, Robert, and Hammer, Barbara. 2021. “Contrastive Explanations for Explaining Model Adaptations”. In Advances in Computational Intelligence. 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I, ed. Ignacio Rojas, Gonzalo Joya, and Andreu Catala, 101-112. Lecture Notes in Computer Science. Cham: Springer .
    PUB | DOI
     
  • [15]
    2021 | Preprint | PUB-ID: 2959899
    Artelt, André, and Hammer, Barbara. 2021. “Convex optimization for actionable & plausible counterfactual explanations”. arXiv: 2105.07630v1.
    PUB | Download (ext.) | arXiv
     
  • [14]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747
    Artelt, André, Vaquet, Valerie, Velioglu, Riza, Hinder, Fabian, Brinkrolf, Johannes, Schilling, Malte, and Hammer, Barbara. 2021. “Evaluating Robustness of Counterfactual Explanations”. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-09. Piscataway, NJ: IEEE.
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  • [13]
    2021 | Report | Veröffentlicht | PUB-ID: 2954239
    Szczuka, Jessica, Artelt, André, Geminn, Christian, Hammer, Barbara, Kopp, Stefan, Manzeschke, Arne, Rossnagel, Alexander, et al. 2021. Können Kinder aufgeklärte Nutzer* innen von Sprachassistenten sein? Rechtliche, psychologische, ethische und informatische Perspektiven. Essen: Universität Duisburg-Essen, Universitätsbibliothek.
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  • [12]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957588
    Artelt, André, and Hammer, Barbara. 2021. “Efficient computation of contrastive explanations”. In 2021 International Joint Conference on Neural Networks (IJCNN), 1-9. New York: Institute of Electrical and Electronics Engineers (IEEE).
    PUB | DOI | Download (ext.)
     
  • [11]
    2020 | Konferenzbeitrag | PUB-ID: 2946488
    Hinder, Fabian, Artelt, André, and Hammer, Barbara. 2020. “Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)”. In Proceedings of the 37th International Conference on Machine Learning.
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  • [10]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946685
    Artelt, André, and Hammer, Barbara. 2020. “Efficient computation of counterfactual explanations of LVQ models”. In ESANN 2020 - proceedings, ed. Michel Verleysen, 19-24. Louvain-la-Neuve: Ciaco .
    PUB | Download (ext.)
     
  • [9]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946761
    Artelt, André, and Hammer, Barbara. 2020. “Convex Density Constraints for Computing Plausible Counterfactual Explanations”. In Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part {I}, ed. Igor Farkas, Paolo Masulli, and Stefan Wermter, 12396:353-365. Lecture Notes in Computer Science. Cham: Springer.
    PUB | DOI | Download (ext.)
     
  • [8]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945878
    Geminn, Christian L., Szczuka, Jessica, Weber, Carina, Artelt, André, and Varonina, Lina. 2020. “Kinder als Nutzende smarter Sprachassistenten Spezieller Gestaltungsbedarf zum Schutz von Kindern”. Datenschutz und Datensicherheit - DuD 44 (9): 600-605.
    PUB | DOI | Download (ext.)
     
  • [7]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957814
    Krämer, Nicole, Szczuka, Jessica, Rossnagel, Alexander, Geminn, Christian, Kopp, Stefan, Hammer, Barbara, Mavrina, Lina, Artelt, André, Manzeschke, Arne, and Weber, Carina. 2020. “Improving and Evaluating Conversational User Interfaces for Children”. In IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces. New York: Association for Computing Machinery.
    PUB
     
  • [6]
    2019 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2935044 OA
    Artelt, André, Jakob, Jonathan, and Vaquet, Valerie. 2019. “Continuous online user authentication based on keystroke dynamics”. Presented at the Interdisciplinary College (IK), Günne/Möhnesee, Germany .
    PUB | Dateien verfügbar
     
  • [5]
    2019 | Preprint | PUB-ID: 2959898
    Artelt, André, and Hammer, Barbara. 2019. “On the computation of counterfactual explanations - A survey”. arXiv: 1911.07749v1.
    PUB | Download (ext.) | arXiv
     
  • [4]
    2019 | Datenpublikation | PUB-ID: 2936468 OA
    Artelt, André. 2019. CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox . Bielefeld University.
    PUB | Dateien verfügbar | DOI
     
  • [3]
    2019 | Monographie | PUB-ID: 2935200 OA
    Paaßen, Benjamin, Artelt, André, and Hammer, Barbara. 2019. Lecture Notes on Applied Optimization. Faculty of Technology, Bielefeld University.
    PUB | Dateien verfügbar
     
  • [2]
    2019 | Report | Veröffentlicht | PUB-ID: 2937888
    Krämer, Nicole, Artelt, André, Geminn, Christian, Hammer, Barbara, Kopp, Stefan, Manzeschke, Arne, Rossnagel, Alexander, et al. 2019. KI-basierte Sprachassistenten im Alltag: Forschungsbedarf aus informatischer, psychologischer, ethischer und rechtlicher Sicht. Universität Duisburg-Essen, Universitätsbibliothek.
    PUB | DOI | Download (ext.)
     
  • [1]
    2019 | Monographie | PUB-ID: 2936408 OA
    Artelt, André. 2019. Introduction to Machine Learning - Supplementary notes.
    PUB | PDF
     
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