| 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 | 165 | 2023 |
| 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 | 67* | 2020 |
| Mutual Explanations for Cooperative Decision Making in Medicine U Schmid, B Finzel KI-Künstliche Intelligenz, 227-233, 2020 | 36 | 2020 |
| XAI method properties: A (meta-) study G Schwalbe, B Finzel | 25 | 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 | 19 | 2018 |
| 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 | 18 | 2022 |
| Uncovering the Bias in Facial Expressions J Deuschel, B Finzel, I Rieger Kolloquium Forschende Frauen 2020: Gender in Gesellschaft 4.0: Beiträge …, 2020 | 17 | 2020 |
| Explanation as a process: user-centric construction of multi-level and multi-modal explanations B Finzel, DE Tafler, S Scheele, U Schmid KI 2021: Advances in Artificial Intelligence: 44th German Conference on AI …, 2021 | 15 | 2021 |
| Toward human-level concept learning: Pattern benchmarking for AI algorithms A Holzinger, A Saranti, A Angerschmid, B Finzel, U Schmid, H Mueller Patterns, 2023 | 13 | 2023 |
| Towards understanding mobility in museums G Elmamooz, B Finzel, D Nicklas Datenbanksysteme für Business, Technologie und Web (BTW 2017)-Workshopband, 2017 | 11 | 2017 |
| 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 |
| Multimodal Explanations for User-centric Medical Decision Support Systems. B Finzel, DE Tafler, AM Thaler, U Schmid HUMAN@ AAAI Fall Symposium, 2021 | 6 | 2021 |
| 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 | 4 | 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 | 4 | 2021 |
| Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust B Finzel, SP Kuhn, DE Tafler, U Schmid Inductive Logic Programming, 40-51, 2024 | 2 | 2024 |
| Toward human-level concept learning: Pattern benchmarking for AI algorithms. Patterns, 4 (8), 100788 A Holzinger, A Saranti, A Angerschmid, B Finzel, U Schmid, H Mueller | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 2 | 2019 |
| Human-Centered Explanations: Lessons Learned from Image Classification for Medical and Clinical Decision Making B Finzel KI-Künstliche Intelligenz, 1-11, 2024 | 1 | 2024 |
| Approaches and Applications of Inductive Programming (Dagstuhl Seminar 23442) L De Raedt, U Schmid, J Langer Schloss Dagstuhl–Leibniz-Zentrum für Informatik, 2024 | 1 | 2024 |
Ute SchmidProfessor of Cognitive Systems, University of BambergBestätigte E-Mail-Adresse bei uni-bamberg.de
