Bettina Finzel

    Research Associate (Doctoral Candidate)

     

    Office: WE5/03.089
    Office hours: Thu, 10:00 - 12:00, by apppointment otherwise

    Phone: +49 951 863 2878
    Email: bettina.finzel(at)uni-bamberg.de

    orcid.org/0000-0002-9415-6254

     

    Bettina Finzel holds a Bachelor degree in Applied Computer Science from University of Bamberg. In 2018 she joined the Cognitive Systems Group as a research associate in the project TraMeExCo, which is founded by the Federal Ministry for Education and Research. While finishing her Master degree in Computer Science, she is Doctoral Candidate in the Cognitive Systems Group.

    since 10/2018Research Associate in the project Transparent Medical Expert Companion (TraMeExCo) founded by BMBF at Cognitive Systems Group, Faculty of Information Systems and Applied Computer Sciences, Otto-Friedrich-Universität Bamberg, Germany
    since 10/2016Applied Computer Science Study at the Faculty of Information Systems and Applied Computer Sciences, Otto-Friedrich-Universität Bamberg, Germany (Master of Science)
    04/2018 - 09/2018Internship concerning the Implementation of Predictive Analytics at MHP Management- und IT-Beratung GmbH
    10/2012 - 03/2017Applied Computer Science Study at the Faculty of Information Systems and Applied Computer Sciences, Otto-Friedrich-Universität Bamberg, Germany (Bachelor of Science)

     

     

    Main Research Interests

    • Explainable AI
    • Interpretable Machine Learning
    • Constraint Programming for Relational Learning, especially Mutual Explanations
    • Mentoring in Computer Science
    • Finzel B. (2019) Erklärbare KI für medizinische Anwendungen (Talk). 49. Kongress der Deutschen Gesellschaft für Endoskopie und Bildgebende Verfahren e.V. (28.-30. März 2019, Stuttgart), Track der Deutschen Gesellschaft für Biomedizinische Technik "Krankenhaus der Zukunft".
    • Finzel B., Rabold J., Schmid U. (2019) Explaining Relational Concepts: When Visualisation and Visual Interpretation of a Deep Neural Network's Decision are not enough (Abstract). Europäische Konferenz zur Datenanalyse (ECDA, 18.-20. März 2019, Bayreuth), Special Session on Interpretable Machine Learning.
    • Finzel B., Deininger H., Schmid U. (2018) From beliefs to intention: mentoring as an approach to motivate female high school students to enrol in computer science studies. In Proceedings of the 4th Conference on Gender & IT (GenderIT '18). ACM, New York, NY, USA, 251-260.
    • Elmamooz, G., Finzel, B. & Nicklas, D., (2017). Towards Understanding Mobility in Museums. In: Mitschang, B., Nicklas, D., Leymann, F., Schöning, H., Herschel, M., Teubner, J., Härder, T., Kopp, O. & Wieland, M. (Hrsg.), Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband. Bonn: Gesellschaft für Informatik e.V.. (S. 127-136).

    All Publications

    Selected Activities

    • Member of the German Informatics Society
    • Alumni Advisor for the make IT Computer Science Mentoring at the University of Bamberg (voluntary)
    • Elected member of the Czech-German Discussion Forum, participation in the task force for social and economic affairs, especially digital transformation topics (voluntary)

    Participation in Schools

    • Interdisciplinary College 2019 Günne/Möhnesee Germany “Out of your senses: from data to insight”, intense one-week spring school, 12.-18.3.2019