37 Publikationen

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  • [37]
    2024 | Bielefelder E-Dissertation | PUB-ID: 2985769 OA
    Artelt A (2024)
    Contrasting Explanations in Machine Learning. Efficiency, Robustness & Applications.
    Bielefeld: Universität Bielefeld.
    PUB | PDF | DOI
     
  • [36]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969734 OA
    Kuhl U, Artelt A, Hammer B (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
     
  • [35]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985571
    Artelt A, Malialis K, Panayiotou CG, Polycarpou MM, Hammer B (2023)
    Unsupervised Unlearning of Concept Drift with Autoencoders.
    In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 703-710.
    PUB | DOI
     
  • [34]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984049
    Ashraf I, Hermes L, Artelt A, Hammer B (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. Crémilleux B, Hess S, Nijssen S (Eds); Lecture Notes in Computer Science, Cham: Springer Nature Switzerland: 29-41.
    PUB | DOI
     
  • [33]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983795
    Kuhl U, Artelt A, Hammer B (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. Longo L (Ed); Communications in Computer and Information Science, Cham: Springer Nature Switzerland: 280-300.
    PUB | DOI
     
  • [32]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983728
    Artelt A, Visser R, Hammer B (2023)
    "I do not know! but why?"- Local model-agnostic example-based explanations of reject.
    Neurocomputing 558: 126722.
    PUB | DOI | WoS
     
  • [31]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983406
    Stahlhofen P, Artelt A, Hermes L, Hammer B (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. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science, Cham: Springer Nature Switzerland: 451-463.
    PUB | DOI | Preprint
     
  • [30]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979026
    Jakob J, Artelt A, Hasenjäger M, Hammer B (2023)
    Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams.
    Applied Artificial Intelligence 37(1): 2198846.
    PUB | DOI | WoS
     
  • [29]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969383
    Artelt A, Schulz A, Hammer B (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. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 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 (2022)
    Contrasting Explanations for Understanding and Regularizing Model Adaptations.
    Neural Processing Letters 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 (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.)
     
  • [26]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088
    Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022)
    Localization of Concept Drift: Identifying the Drifting Datapoints.
    In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-9.
    PUB | DOI | Download (ext.)
     
  • [25]
    2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2969459
    Jakob J, Artelt A, Hasenjäger M, Hammer B (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. Pimenidis E, Angelov P, Jayne C, Papaleonidas A, Aydin M (Eds); Lecture Notes in Computer Science, 13531. Cham: Springer Nature : 752-762.
    PUB | DOI
     
  • [24]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969461
    Artelt A, Hammer B (2022)
    “Even if …” – Diverse Semifactual Explanations of Reject.
    In: 2022 IEEE Symposium Series on Computational Intelligence (SSCI). Ishibuchi H (Ed); Piscataway, NJ: IEEE: 854-859.
    PUB | DOI
     
  • [23]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969460
    Artelt A, Brinkrolf J, Visser R, Hammer B (2022)
    Explaining Reject Options of Learning Vector Quantization Classifiers.
    In: Proceedings of the 14th International Joint Conference on Computational Intelligence. SCITEPRESS - Science and Technology Publications: 249-261.
    PUB | DOI
     
  • [22]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969736
    Kuhl U, Artelt A, Hammer B (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. New York, NY, USA: ACM: 2125-2137.
    PUB | DOI | Download (ext.)
     
  • [21]
    2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861
    Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022)
    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 (2022)
    One Explanation to Rule them All — Ensemble Consistent Explanations.
    ArXiv:2205.08974 .
    PUB | PDF | Download (ext.) | arXiv
     
  • [19]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962650 OA
    Vaquet V, Artelt A, Brinkrolf J, Hammer B (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.
    PUB | PDF
     
  • [18]
    2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296
    Velioglu R, Göpfert JP, Artelt A, Hammer B (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. Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 13756. Cham: Springer International Publishing: 313-325.
    PUB | DOI
     
  • [17]
    2021 | Preprint | PUB-ID: 2959899
    Artelt A, Hammer B (2021)
    Convex optimization for actionable & plausible counterfactual explanations.
    arXiv: 2105.07630v1.
    PUB | Download (ext.) | arXiv
     
  • [16]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957588
    Artelt A, Hammer B (2021)
    Efficient computation of contrastive explanations.
    In: 2021 International Joint Conference on Neural Networks (IJCNN). New York: Institute of Electrical and Electronics Engineers (IEEE): 1-9.
    PUB | DOI | Download (ext.)
     
  • [15]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957373
    Artelt A, Hinder F, Vaquet V, Feldhans R, Hammer B (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. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science, Cham: Springer : 101-112.
    PUB | DOI
     
  • [14]
    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 (2021)
    Können Kinder aufgeklärte Nutzer* innen von Sprachassistenten sein? Rechtliche, psychologische, ethische und informatische Perspektiven.
    Essen: Universität Duisburg-Essen, Universitätsbibliothek.
    PUB | DOI
     
  • [13]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957340
    Artelt A, Hammer B (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
     
  • [12]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747
    Artelt A, Vaquet V, Velioglu R, Hinder F, Brinkrolf J, Schilling M, Hammer B (2021)
    Evaluating Robustness of Counterfactual Explanations.
    In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE: 01-09.
    PUB | DOI
     
  • [11]
    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 (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
     
  • [10]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945878
    Geminn CL, Szczuka J, Weber C, Artelt A, Varonina L (2020)
    Kinder als Nutzende smarter Sprachassistenten Spezieller Gestaltungsbedarf zum Schutz von Kindern.
    Datenschutz und Datensicherheit - DuD 44(9): 600-605.
    PUB | DOI | Download (ext.)
     
  • [9]
    2020 | Konferenzbeitrag | PUB-ID: 2946488
    Hinder F, Artelt A, Hammer B (2020)
    Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD).
    In: Proceedings of the 37th International Conference on Machine Learning. .
    PUB | Download (ext.)
     
  • [8]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946685
    Artelt A, Hammer B (2020)
    Efficient computation of counterfactual explanations of LVQ models.
    In: ESANN 2020 - proceedings. Verleysen M (Ed); Louvain-la-Neuve: Ciaco : 19-24.
    PUB | Download (ext.)
     
  • [7]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946761
    Artelt A, Hammer B (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}. Farkas I, Masulli P, Wermter S (Eds); Lecture Notes in Computer Science, 12396. Cham: Springer: 353-365.
    PUB | DOI | Download (ext.)
     
  • [6]
    2019 | Preprint | PUB-ID: 2959898
    Artelt A, Hammer B (2019)
    On the computation of counterfactual explanations - A survey.
    arXiv: 1911.07749v1.
    PUB | Download (ext.) | arXiv
     
  • [5]
    2019 | Datenpublikation | PUB-ID: 2936468 OA
    Artelt A (2019)
    CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox .
    Bielefeld University.
    PUB | Dateien verfügbar | DOI
     
  • [4]
    2019 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2935044 OA
    Artelt A, Jakob J, Vaquet V (2019)
    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 (2019)
    Lecture Notes on Applied Optimization.
    Faculty of Technology, Bielefeld University.
    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 (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 A (2019)
    Introduction to Machine Learning - Supplementary notes.
    PUB | PDF
     

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