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ORCIDGesina Schwalbe
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2020 – today
- 2024
[j1]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)- [c8]Pallavi Mitra, Gesina Schwalbe, Nadja Klein:
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study. CVPR Workshops 2024: 3542-3552 - [c7]Youssef Shoeb, R. Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk:
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. WACV 2024: 7381-7391 - [c6]Georgii Mikriukov, Gesina Schwalbe, Franz Motzkus, Korinna Bade:
Unveiling the Anatomy of Adversarial Attacks: Concept-Based XAI Dissection of CNNs. xAI (1) 2024: 92-116 - [i14]Georgii Mikriukov, Gesina Schwalbe, Franz Motzkus, Korinna Bade:
The Anatomy of Adversarial Attacks: Concept-based XAI Dissection. CoRR abs/2403.16782 (2024) - [i13]Pallavi Mitra, Gesina Schwalbe, Nadja Klein:
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study. CoRR abs/2405.20876 (2024) - [i12]Jae Hee Lee, Georgii Mikriukov, Gesina Schwalbe, Stefan Wermter, Diedrich Wolter:
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? CoRR abs/2409.13456 (2024) - [i11]Mert Keser, Gesina Schwalbe, Niki Amini-Naieni, Matthias Rottmann, Alois Knoll:
Unveiling Ontological Commitment in Multi-Modal Foundation Models. CoRR abs/2409.17109 (2024) - 2023
- [c5]Mert Keser, Gesina Schwalbe, Azarm Nowzad, Alois Knoll:
Interpretable Model-Agnostic Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models. CVPR Workshops 2023: 3891-3900 - [c4]Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade:
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability. xAI (2) 2023: 499-524 - [i10]Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade:
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability. CoRR abs/2304.14864 (2023) - [i9]Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade:
Quantified Semantic Comparison of Convolutional Neural Networks. CoRR abs/2305.07663 (2023) - [i8]Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk:
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. CoRR abs/2309.04302 (2023) - [i7]Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade:
GCPV: Guided Concept Projection Vectors for the Explainable Inspection of CNN Feature Spaces. CoRR abs/2311.14435 (2023) - 2022
- [i6]Gesina Schwalbe, Christian Wirth, Ute Schmid:
Concept Embeddings for Fuzzy Logic Verification of Deep Neural Networks in Perception Tasks. CoRR abs/2201.00572 (2022) - [i5]Gesina Schwalbe:
Concept Embedding Analysis: A Review. CoRR abs/2203.13909 (2022) - 2021
- [c3]Gesina Schwalbe:
Verification of Size Invariance in DNN Activations Using Concept Embeddings. AIAI 2021: 374-386 - [i4]Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle:
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR abs/2104.14235 (2021) - [i3]Gesina Schwalbe:
Verification of Size Invariance in DNN Activations using Concept Embeddings. CoRR abs/2105.06727 (2021) - [i2]Gesina Schwalbe, Bettina Finzel:
XAI Method Properties: A (Meta-)study. CoRR abs/2105.07190 (2021) - [i1]Johannes Rabold, Gesina Schwalbe, Ute Schmid:
Expressive Explanations of DNNs by Combining Concept Analysis with ILP. CoRR abs/2105.07371 (2021) - 2020
- [c2]Johannes Rabold, Gesina Schwalbe, Ute Schmid:
Expressive Explanations of DNNs by Combining Concept Analysis with ILP. KI 2020: 148-162 - [c1]Gesina Schwalbe, Bernhard Knie, Timo Sämann, Timo Dobberphul, Lydia Gauerhof, Shervin Raafatnia, Vittorio Rocco:
Structuring the Safety Argumentation for Deep Neural Network Based Perception in Automotive Applications. SAFECOMP Workshops 2020: 383-394
Coauthor Index
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