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Benedict Clark
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2020 – today
- 2024
- [j2]Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe:
Benchmarking the influence of pre-training on explanation performance in MR image classification. Frontiers Artif. Intell. 7 (2024) - [j1]Benedict Clark, Rick Wilming, Stefan Haufe:
XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance. Mach. Learn. 113(9): 6871-6910 (2024) - [i6]Benedict Clark, Rick Wilming, Artur Dox, Paul Eschenbach, Sami Hached, Daniel Jin Wodke, Michias Taye Zewdie, Uladzislau Bruila, Marta Oliveira, Hjalmar Schulz, Luca Matteo Cornils, Danny Panknin, Ahcène Boubekki, Stefan Haufe:
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods. CoRR abs/2405.12261 (2024) - [i5]Rick Wilming, Artur Dox, Hjalmar Schulz, Marta Oliveira, Benedict Clark, Stefan Haufe:
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations. CoRR abs/2406.11547 (2024) - [i4]Stefan Haufe, Rick Wilming, Benedict Clark, Rustam Zhumagambetov, Danny Panknin, Ahcène Boubekki:
Explainable AI needs formal notions of explanation correctness. CoRR abs/2409.14590 (2024) - 2023
- [c1]Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe:
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables. ICML 2023: 37091-37107 - [i3]Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe:
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables. CoRR abs/2306.01464 (2023) - [i2]Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe:
Benchmark data to study the influence of pre-training on explanation performance in MR image classification. CoRR abs/2306.12150 (2023) - [i1]Benedict Clark, Rick Wilming, Stefan Haufe:
XAI-TRIS: Non-linear benchmarks to quantify ML explanation performance. CoRR abs/2306.12816 (2023)
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last updated on 2024-10-16 21:21 CEST by the dblp team
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