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Author

Gesina Schwalbe

Observed names: G. Schwalbe, Schwalbe, Gesina
ORCID: 0000-0003-2690-2478
Observed ORCID: 0000-0003-2690-2478
OpenAlex ID: A5028540603
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
2023 · Gesina Schwalbe, Bettina Finzel · Data Mining and Knowledge Discovery · 422
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Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
2022 · Sebastian Houben, Stephanie Abrecht, et al. · Springer eBooks · 61
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A Survey on Methods for the Safety Assurance of Machine Learning Based Systems
2020 · Gesina Schwalbe, Martin Schels · 46
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Concept Embedding Analysis: A Review
2022 · Schwalbe, Gesina · arXiv (Cornell University) · 40
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Structuring the Safety Argumentation for Deep Neural Network Based Perception in Automotive Applications
2020 · Gesina Schwalbe, Bernhard Knie, et al. · Lecture notes in computer science · 27
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
2022 · Wörmann, Julian, Bogdoll, Daniel, et al. · arXiv (Cornell University) · 24
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Expressive Explanations of DNNs by Combining Concept Analysis with ILP
2020 · Johannes Rabold, Gesina Schwalbe, et al. · Lecture notes in computer science · 20
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Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability
2023 · Georgii Mikriukov, Gesina Schwalbe, et al. · Communications in computer and information science · 17
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Concept Enforcement and Modularization as Methods for the ISO 26262 Safety Argumentation of Neural Networks
2020 · Gesina Schwalbe, Martin Schels · 15
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Interpretable Model-Agnostic Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models
2023 · Mert Keser, Gesina Schwalbe, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 13
Enabling Verification of Deep Neural Networks in Perception Tasks Using Fuzzy Logic and Concept Embeddings
2022 · Schwalbe, Gesina, Wirth, Christian, et al. · arXiv (Cornell University) · 10
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XAI Method Properties: A (Meta-)study.
2021 · Gesina Schwalbe, Bettina Finzel · arXiv (Cornell University) · 10
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?
2025 · Jae Hee Lee, Georgii Mikriukov, et al. · Lecture notes in computer science · 9
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Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes
2024 · Y. Shoeb, R. Chan, et al. · IEEE Winter Conference on Applications of Computer Vision · 9
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Verification of Size Invariance in DNN Activations Using Concept Embeddings
2021 · Gesina Schwalbe · IFIP advances in information and communication technology · 8
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Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces
2025 · Georgii Mikriukov, Gesina Schwalbe, et al. · International Journal of Computer Vision · 7
Unveiling the Anatomy of Adversarial Attacks: Concept-Based XAI Dissection of CNNs
2024 · Georgii Mikriukov, Gesina Schwalbe, et al. · Communications in computer and information science · 6
Concept Enforcement and Modularization for the ISO 26262 Safety Case of Neural Networks
2020 · Gesina Schwalbe, Ute Schmid · 6
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Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study
2024 · Pallavi Mitra, Gesina Schwalbe, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 5
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Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving
2025 · Keser, Mert, Orhan, Halil Ibrahim, et al. · arXiv (Cornell University) · 2
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Strategies for Safety Goal Decomposition for Neural Networks
2020 · Gesina Schwalbe, Martin Schels · 2
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Injecting Qualitative Spatial Reasoning into World Models via Logic Tensor Networks
2026 · Ajay Ramachandra, Gesina Schwalbe, et al. · International Joint Conference on Artificial Intelligence · 1
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Revealing Similar Semantics Inside CNNs: An Interpretable Concept-Based Comparison of Feature Spaces
2025 · Georgii Mikriukov, Gesina Schwalbe, et al. · Communications in computer and information science · 1
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Unveiling Ontological Commitment in Multi-Modal Foundation Models
2024 · Keser, Mert, Schwalbe, Gesina, et al. · arXiv (Cornell University) · 1
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Concept Embedding Analysis Based Methods for the Safety Assurance of Deep Neural Networks
2022 · Schwalbe, Gesina · 1
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Works count: 39
Citation count: 764
H-index: 10
I10-index: 12
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