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Bettina Finzel
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- affiliation: University of Bamberg, Cognitive Systems Group, Germany
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2020 – today
- 2024
- [j6]Gesina Schwalbe
, Bettina Finzel
:
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts. Data Min. Knowl. Discov. 38(5): 3043-3101 (2024) - [j5]Bettina Finzel
:
Human-Centered Explanations: Lessons Learned from Image Classification for Medical and Clinical Decision Making. Künstliche Intell. 38(3): 157-167 (2024) - [c10]Bettina Finzel
, Judith Knoblach
, Anna Magdalena Thaler, Ute Schmid
:
Near Hit and Near Miss Example Explanations for Model Revision in Binary Image Classification. IDEAL (2) 2024: 260-271 - [i7]Bettina Finzel, Patrick Hilme, Johannes Rabold, Ute Schmid:
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX. CoRR abs/2405.01661 (2024) - 2023
- [j4]Andreas Holzinger
, Anna Saranti, Alessa Angerschmid, Bettina Finzel, Ute Schmid, Heimo Müller
:
Toward human-level concept learning: Pattern benchmarking for AI algorithms. Patterns 4(8): 100788 (2023) - [c9]Bettina Finzel
, Ines Rieger
, Simon Kuhn, Ute Schmid
:
Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition. CD-MAKE 2023: 31-44 - [i6]Bettina Finzel, Simon P. Kuhn, David E. Tafler, Ute Schmid:
Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust. CoRR abs/2308.14163 (2023) - 2022
- [j3]Bettina Finzel
, Anna Saranti
, Alessa Angerschmid, David E. Tafler, Bastian Pfeifer, Andreas Holzinger:
Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs. Künstliche Intell. 36(3): 271-285 (2022) - [c8]Ines Rieger
, Jaspar Pahl, Bettina Finzel, Ute Schmid:
CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition. ICPR 2022: 798-804 - [c7]Bettina Finzel
, Simon P. Kuhn, David E. Tafler, Ute Schmid
:
Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust. ILP 2022: 40-51 - [i5]Ines Rieger, Jaspar Pahl, Bettina Finzel, Ute Schmid:
CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition. CoRR abs/2210.17233 (2022) - 2021
- [c6]Bettina Finzel, David Elias Tafler, Anna Magdalena Thaler, Ute Schmid:
Multimodal Explanations for User-centric Medical Decision Support Systems. HUMAN@AAAI Fall Symposium 2021 - [c5]Bettina Finzel, David E. Tafler, Stephan Scheele, Ute Schmid
:
Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations. KI 2021: 80-94 - [c4]Bettina Finzel, René Kollmann, Ines Rieger, Jaspar Pahl, Ute Schmid:
Deriving Temporal Prototypes from Saliency Map Clusters for the Analysis of Deep-Learning-based Facial Action Unit Classification. LWDA 2021: 86-97 - [i4]Gesina Schwalbe
, Bettina Finzel
:
XAI Method Properties: A (Meta-)study. CoRR abs/2105.07190 (2021) - [i3]Bettina Finzel, David E. Tafler, Stephan Scheele, Ute Schmid:
Explanation as a process: user-centric construction of multi-level and multi-modal explanations. CoRR abs/2110.03759 (2021) - 2020
- [j2]Sebastian Bruckert
, Bettina Finzel
, Ute Schmid
:
The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions. Frontiers Artif. Intell. 3: 507973 (2020) - [j1]Ute Schmid
, Bettina Finzel
:
Mutual Explanations for Cooperative Decision Making in Medicine. Künstliche Intell. 34(2): 227-233 (2020) - [c3]Ines Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid:
Verifying Deep Learning-based Decisions for Facial Expression Recognition. ESANN 2020: 139-144 - [i2]Ines Rieger
, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid:
Verifying Deep Learning-based Decisions for Facial Expression Recognition. CoRR abs/2003.00828 (2020) - [i1]Jessica Deuschel, Bettina Finzel, Ines Rieger:
Uncovering the Bias in Facial Expressions. CoRR abs/2011.11311 (2020)
2010 – 2019
- 2018
- [c2]Bettina Finzel
, Hannah Deininger
, Ute Schmid
:
From beliefs to intention: mentoring as an approach to motivate female high school students to enrol in computer science studies. GenderIT 2018: 251-260 - 2017
- [c1]Golnaz Elmamooz, Bettina Finzel, Daniela Nicklas:
Towards Understanding Mobility in Museums. BTW (Workshops) 2017: 127-134
Coauthor Index

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last updated on 2025-02-27 23:43 CET by the dblp team
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