Bettina Finzel

According to our database, Bettina Finzel authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts.

Gesina Schwalbe, Bettina Finzel

Data Min. Knowl. Discov., September, 2024

When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX.

Bettina Finzel, Patrick Hilme, Johannes Rabold, Ute Schmid

CoRR, 2024

2023

Toward human-level concept learning: Pattern benchmarking for AI algorithms.

Andreas Holzinger, Anna Saranti, Alessa Angerschmid, Bettina Finzel, Ute Schmid, Heimo Müller

Patterns, August, 2023

Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition.

Bettina Finzel, Ines Rieger, Simon Kuhn, Ute Schmid

Proceedings of the Machine Learning and Knowledge Extraction, 2023

2022

Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs.

Bettina Finzel, Anna Saranti, Alessa Angerschmid, David E. Tafler, Bastian Pfeifer, Andreas Holzinger

Künstliche Intell., 2022

Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust.

Bettina Finzel, Simon P. Kuhn, David E. Tafler, Ute Schmid

Proceedings of the Inductive Logic Programming - 31st International Conference, 2022

CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition.

Ines Rieger, Jaspar Pahl, Bettina Finzel, Ute Schmid

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

XAI Method Properties: A (Meta-)study.

Gesina Schwalbe, Bettina Finzel

CoRR, 2021

Deriving Temporal Prototypes from Saliency Map Clusters for the Analysis of Deep-Learning-based Facial Action Unit Classification.

Bettina Finzel, René Kollmann, Ines Rieger, Jaspar Pahl, Ute Schmid

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations.

Bettina Finzel, David E. Tafler, Stephan Scheele, Ute Schmid

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

Multimodal Explanations for User-centric Medical Decision Support Systems.

Bettina Finzel, David Elias Tafler, Anna Magdalena Thaler, Ute Schmid

Proceedings of the AAAI 2021 Fall Symposium on Human Partnership with Medical AI: Design, 2021

2020

Mutual Explanations for Cooperative Decision Making in Medicine.

Ute Schmid, Bettina Finzel

Künstliche Intell., 2020

The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions.

Sebastian Bruckert, Bettina Finzel, Ute Schmid

Frontiers Artif. Intell., 2020

Uncovering the Bias in Facial Expressions.

Jessica Deuschel, Bettina Finzel, Ines Rieger

CoRR, 2020

Verifying Deep Learning-based Decisions for Facial Expression Recognition.

Ines Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2018

From beliefs to intention: mentoring as an approach to motivate female high school students to enrol in computer science studies.

Bettina Finzel, Hannah Deininger, Ute Schmid

Proceedings of the Third Conference on GenderIT, 2018

2017

Towards Understanding Mobility in Museums.

Golnaz Elmamooz, Bettina Finzel, Daniela Nicklas

Proceedings of the Datenbanksysteme für Business, 2017