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Machine Learning
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August 12, 2024
XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance
Benedict Clark, Rick Wilming, Stefan Haufe
Machine Learning
|
May 25, 2022
Scrutinizing XAI using linear ground-truth data with suppressor variables
Rick Wilming, Céline Budding, Klaus-Robert Müller, et al.
Frontiers in Artificial Intelligence
|
January 21, 2026
GECOBench: a gender-controlled text dataset and benchmark for quantifying biases in explanations
Rick Wilming, Artur Dox, Hjalmar Schulz, et al.
Frontiers in Artificial Intelligence
|
March 12, 2024
Benchmarking the influence of pre-training on explanation performance in MR image classification
Marta Oliveira, Rick Wilming, Benedict Clark, et al.
NPJ Artificial Intelligence
|
April 13, 2026
Explainable AI needs formalization
Stefan Haufe, Rick Wilming, Benedict Clark, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Machine Learning
|
August 12, 2024
XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance
Benedict Clark, Rick Wilming, Stefan Haufe
Machine Learning
|
May 25, 2022
Scrutinizing XAI using linear ground-truth data with suppressor variables
Rick Wilming, Céline Budding, Klaus-Robert Müller, et al.
Frontiers in Artificial Intelligence
|
January 21, 2026
GECOBench: a gender-controlled text dataset and benchmark for quantifying biases in explanations
Rick Wilming, Artur Dox, Hjalmar Schulz, et al.
Frontiers in Artificial Intelligence
|
March 12, 2024
Benchmarking the influence of pre-training on explanation performance in MR image classification
Marta Oliveira, Rick Wilming, Benedict Clark, et al.
NPJ Artificial Intelligence
|
April 13, 2026
Explainable AI needs formalization
Stefan Haufe, Rick Wilming, Benedict Clark, et al.
Page
of 1