André Artelt

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

PEVZ-ID
170245986

37 Publikationen

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  • [37]
    2024 | Bielefelder E-Dissertation | PUB-ID: 2985769 OA
    Artelt A. Contrasting Explanations in Machine Learning. Efficiency, Robustness & Applications. Bielefeld: Universität Bielefeld; 2024.
    PUB | PDF | DOI
     
  • [36]
    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. 2023;5: 1087929.
    PUB | PDF | DOI | Download (ext.) | WoS | arXiv
     
  • [35]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985571
    Artelt A, Malialis K, Panayiotou CG, Polycarpou MM, Hammer B. Unsupervised Unlearning of Concept Drift with Autoencoders. In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE; 2023: 703-710.
    PUB | DOI
     
  • [34]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984049
    Ashraf I, Hermes L, Artelt A, Hammer B. Spatial Graph Convolution Neural Networks for Water Distribution Systems. In: Crémilleux B, Hess S, 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. Cham: Springer Nature Switzerland; 2023: 29-41.
    PUB | DOI
     
  • [33]
    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. Cham: Springer Nature Switzerland; 2023: 280-300.
    PUB | DOI
     
  • [32]
    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. 2023;558: 126722.
    PUB | DOI | WoS
     
  • [31]
    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, 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. Cham: Springer Nature Switzerland; 2023: 451-463.
    PUB | DOI | Preprint
     
  • [30]
    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. 2023;37(1): 2198846.
    PUB | DOI | WoS
     
  • [29]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969383
    Artelt A, Schulz A, Hammer B. "Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications; 2023: 27-38.
    PUB | DOI | arXiv
     
  • [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. 2022;55:5273–5297.
    PUB | PDF | DOI | Download (ext.) | WoS
     
  • [27]
    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.)
     
  • [26]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088
    Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B. Localization of Concept Drift: Identifying the Drifting Datapoints. In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE; 2022: 1-9.
    PUB | DOI | Download (ext.)
     
  • [25]
    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, 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. Vol 13531. Cham: Springer Nature ; 2022: 752-762.
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  • [24]
    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). Piscataway, NJ: IEEE; 2022: 854-859.
    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. In: Proceedings of the 14th International Joint Conference on Computational Intelligence. SCITEPRESS - Science and Technology Publications; 2022: 249-261.
    PUB | DOI
     
  • [22]
    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. In: 2022 ACM Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM; 2022: 2125-2137.
    PUB | DOI | Download (ext.)
     
  • [21]
    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.
    PUB
     
  • [20]
    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
     
  • [19]
    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.
    PUB | PDF
     
  • [18]
    2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296
    Velioglu R, Göpfert JP, Artelt A, Hammer B. Explainable Artificial Intelligence for Improved Modeling of Processes. In: Yin H, Camacho D, 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. Vol 13756. Cham: Springer International Publishing; 2022: 313-325.
    PUB | DOI
     
  • [17]
    2021 | Preprint | PUB-ID: 2959899
    Artelt A, Hammer B. Convex optimization for actionable & plausible counterfactual explanations. arXiv: 2105.07630v1. 2021.
    PUB | Download (ext.) | arXiv
     
  • [16]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957588
    Artelt A, Hammer B. Efficient computation of contrastive explanations. In: 2021 International Joint Conference on Neural Networks (IJCNN). New York: Institute of Electrical and Electronics Engineers (IEEE); 2021: 1-9.
    PUB | DOI | Download (ext.)
     
  • [15]
    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, 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. Cham: Springer ; 2021: 101-112.
    PUB | DOI
     
  • [14]
    2021 | Report | Veröffentlicht | PUB-ID: 2954239
    Szczuka J, Artelt A, Geminn C, et al. Können Kinder aufgeklärte Nutzer* innen von Sprachassistenten sein? Rechtliche, psychologische, ethische und informatische Perspektiven. Essen: Universität Duisburg-Essen, Universitätsbibliothek; 2021.
    PUB | DOI
     
  • [13]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957340
    Artelt A, Hammer B. Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers. Neurocomputing. 2021;470(VSI: ESANN 2020):304-317.
    PUB | DOI | Download (ext.) | WoS
     
  • [12]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747
    Artelt A, Vaquet V, Velioglu R, et al. Evaluating Robustness of Counterfactual Explanations. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE; 2021: 01-09.
    PUB | DOI
     
  • [11]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957814
    Krämer N, Szczuka J, Rossnagel A, et al. 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; 2020.
    PUB
     
  • [10]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945878
    Geminn CL, Szczuka J, Weber C, Artelt A, Varonina L. Kinder als Nutzende smarter Sprachassistenten Spezieller Gestaltungsbedarf zum Schutz von Kindern. Datenschutz und Datensicherheit - DuD. 2020;44(9):600-605.
    PUB | DOI | Download (ext.)
     
  • [9]
    2020 | Konferenzbeitrag | PUB-ID: 2946488
    Hinder F, Artelt A, Hammer B. Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). In: Proceedings of the 37th International Conference on Machine Learning. 2020.
    PUB | Download (ext.)
     
  • [8]
    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. Louvain-la-Neuve: Ciaco ; 2020: 19-24.
    PUB | Download (ext.)
     
  • [7]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946761
    Artelt A, Hammer B. Convex Density Constraints for Computing Plausible Counterfactual Explanations. In: Farkas I, Masulli P, 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. Vol 12396. Cham: Springer; 2020: 353-365.
    PUB | DOI | Download (ext.)
     
  • [6]
    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
     
  • [5]
    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
     
  • [4]
    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.
    PUB | Dateien verfügbar
     
  • [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, et al. 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
     
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