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

Suche

Publikationen filtern

Darstellung / Sortierung

Export / Einbettung