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06/22/2023
XAI-TRIS: Non-linear benchmarks to quantify ML explanation performance
The field of 'explainable' artificial intelligence (XAI) has produced hi...
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06/21/2023
Benchmark data to study the influence of pre-training on explanation performance in MR image classification
Convolutional Neural Networks (CNNs) are frequently and successfully use...
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06/02/2023
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables
In recent years, the community of 'explainable artificial intelligence' ...
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12/09/2021
Evaluating saliency methods on artificial data with different background types
Over the last years, many 'explainable artificial intelligence' (xAI) ap...
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11/14/2021
Scrutinizing XAI using linear ground-truth data with suppressor variables
Machine learning (ML) is increasingly often used to inform high-stakes d...
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11/02/2021
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging
Several problems in neuroimaging and beyond require inference on the par...
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01/26/2018
Correlated Components Analysis --- Extracting Reliable Dimensions in Multivariate Data
How does one find data dimensions that are reliably expressed across rep...
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09/25/2015
Validity of time reversal for testing Granger causality
Inferring causal interactions from observed data is a challenging proble...
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12/12/2009