Dr. Nils Gumpfer

Dr. Nils Gumpfer

Postdoctoral Researcher at TimeXAI Group at Technische Hochschule Mittelhessen, Friedberg (Hesse)

Publications

The full list of papers can be accessed through my Google Scholar profile.

Publications (Selective)

  1. Gumpfer N., Prim J., Keller T., Seeger B., Guckert M., and Hannig J. (2023).
    SIGNed Explanations: Unveiling Relevant Features by Reducing Bias.
    Information Fusion, 99, p. 101883.
    doi:10.1016/j.inffus.2023.101883

  2. Gumpfer N., Dinov B., Sossalla S., Guckert M., and Hannig J. (2024a).
    Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation.
    In: 22nd International Conference on Artificial Intelligence in Medicine (AIME 2024), Salt Lake City, UT, USA, July 9–12, 2024.
    Ed. by J. Finkelstein, R. Moskovitch, and E. Parimbelli. Lecture Notes in Computer Science, Vol. 14845.
    Springer Nature Switzerland AG, Chap. 36, pp. 350–361.
    doi:10.1007/978-3-031-66535-6_36

  3. Gumpfer N., Grün D., Hannig J., Keller T., and Guckert M. (2020c).
    Detecting Myocardial Scar Using Electrocardiogram Data and Deep Neural Networks.
    Biological Chemistry, 402(8), pp. 911–923.
    doi:10.1515/hsz-2020-0169

  4. Guckert M., Gumpfer N., Hannig J., Keller T., and Urquhart N. (2021).
    A Conceptual Framework for Establishing Trust in Real World Intelligent Systems.
    Cognitive Systems Research, 68, pp. 143–155.
    doi:10.1016/j.cogsys.2021.04.001

  5. Powers S. T., Linnyk O., Guckert M., Hannig J., Pitt J., Urquhart N., Ekárt A.,
    Gumpfer N., Han T. A., Lewis P. R., Marsh S., and Weber T. (2023).
    The Stuff We Swim in: Regulation Alone Will Not Lead to Justifiable Trust in AI.
    IEEE Technology and Society Magazine, 42(4), pp. 95–106.
    doi:10.1109/MTS.2023.3341463

  6. Gumpfer N., Prim J., Gruen D., Hannig J., Keller T., and Guckert M. (2021d).
    An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI Models.
    In: 19th International Conference on Artificial Intelligence in Medicine (AIME 2021), Virtual Event, June 15–18, 2021.
    Ed. by A. Tucker, P. H. Abreu, and J. Cardoso. Lecture Notes in Computer Science, Vol. 12721.
    Springer Nature Switzerland AG, Chap. 45, pp. 384–388.
    doi:10.1007/978-3-030-77211-6_45

  7. Gumpfer N. (2024b).
    Explainable Artificial Intelligence for Detection of Structural Changes in Myocardium.
    Doctoral Thesis. Ed. by B. Seeger and M. Guckert.
    Philipps-Universität Marburg.
    doi:10.17192/z2025.0472