| The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions S Bruckert, B Finzel, U Schmid Frontiers in Artificial Intelligence 3, 75, 2020 | 29 | 2020 |
| Mutual Explanations for Cooperative Decision Making in Medicine U Schmid, B Finzel KI-Künstliche Intelligenz, 227-233, 2020 | 28 | 2020 |
| A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts G Schwalbe, B Finzel arXiv.org, submitted to Data Mining and Knowledge Discovery, 2021 | 12* | 2021 |
| From beliefs to intention: mentoring as an approach to motivate female high school students to enrol in computer science studies B Finzel, H Deininger, U Schmid Proceedings of the 4th Conference on Gender & IT, 251-260, 2018 | 10 | 2018 |
| Towards understanding mobility in museums G Elmamooz, B Finzel, D Nicklas Datenbanksysteme für Business, Technologie und Web (BTW 2017)-Workshopband, 2017 | 10 | 2017 |
| Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations B Finzel, DE Tafler, S Scheele, U Schmid German Conference on Artificial Intelligence (Künstliche Intelligenz), 80-94, 2021 | 9 | 2021 |
| Verifying Deep Learning-based Decisions for Facial Expression Recognition I Rieger, R Kollmann, B Finzel, D Seuss, U Schmid 28th European Symposium on Artificial Neural Networks, Computational …, 2020 | 7 | 2020 |
| Uncovering the Bias in Facial Expressions J Deuschel, B Finzel, I Rieger arXiv preprint arXiv:2011.11311, 2020 | 6 | 2020 |
| A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts G Schwalbe, B Finzel Data Mining and Knowledge Discovery, 1-59, 2023 | 5 | 2023 |
| Multimodal Explanations for User-centric Medical Decision Support Systems. B Finzel, DE Tafler, AM Thaler, U Schmid HUMAN@ AAAI Fall Symposium, 2021 | 2 | 2021 |
| Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs B Finzel, A Saranti, A Angerschmid, D Tafler, B Pfeifer, A Holzinger KI-Künstliche Intelligenz 36 (3), 271-285, 2022 | 1 | 2022 |
| CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition I Rieger, J Pahl, B Finzel, U Schmid 2022 26th International Conference on Pattern Recognition (ICPR), 798-804, 2022 | 1 | 2022 |
| Deriving Temporal Prototypes from Saliency Map Clusters for the Analysis of Deep-Learning-based Facial Action Unit Classification B Finzel, R Kollmann, I Rieger, J Pahl, U Schmid | 1 | 2021 |
| Make Pain Estimation Transparent: A Roadmap to Fuse Bayesian Deep Learning and Inductive Logic Programming I Rieger, B Finzel, D Seuß, T Wittenberg, U Schmid 41st Annual International Conference of the IEEE Engineering in Medicine …, 2019 | 1 | 2019 |
| Explaining and Evaluating Deep Tissue Classification by Visualizing Activations of Most Relevant Intermediate Layers A Mohammed, C Geppert, A Hartmann, P Kuritcyn, V Bruns, U Schmid, ... Current Directions in Biomedical Engineering 8 (2), 229-232, 2022 | | 2022 |
| Regularization by Integrating Co-Occurrence Domain Knowledge for Affect Recognition I Rieger, J Pahl, B Finzel, U Schmid | | 2022 |
| Uni. vers Forschung: das Magazin der Otto-Friedrich-Universität Bamberg P Achter, R Braches-Chyrek, M Düchs, T Färber, B Finzel, F Ganesch, ... Otto-Friedrich-Universität, 2021 | | 2021 |
| Korrigierbares maschinelles Lernen mithilfe wechselseitiger Erklärungen am Beispiel der Medizin B Finzel Vol. 44, Medizininformatik, 2020 | | 2020 |
| Explaining Relational Concepts: When Visualisation and Visual Interpretation of a Deep Neural Network's Decision are not enough B Finzel, J Rabold, U Schmid Europäische Konferenz zur Datenanalyse (ECDA, 18.-20. März 2019, Bayreuth …, 2019 | | 2019 |
| Erklärbare KI für medizinische Anwendungen B Finzel, U Schmid | | 2019 |
Ute SchmidProfessor of Cognitive Systems, University of BambergBestätigte E-Mail-Adresse bei uni-bamberg.de
