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The (Un)reliability of Saliency Methods.

, , , , , , , and . Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)

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The (Un)reliability of Saliency Methods., , , , , , , and . Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data., , , , , , , , and . Proceedings of the IEEE, 103 (9): 1507-1530 (2015)Wyrm: A Brain-Computer Interface Toolbox in Python., , , , and . Neuroinformatics, 13 (4): 471-486 (2015)SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters., , , , , , and . NeuroImage, (2014)Finding brain oscillations with power dependencies in neuroimaging data., , , , , and . NeuroImage, (2014)On the interpretation of weight vectors of linear models in multivariate neuroimaging., , , , , , and . NeuroImage, (2014)iNNvestigate neural networks!, , , , , , , , , and . CoRR, (2018)Prediction of Difficulty Levels in Video Games from Ongoing EEG., , , and . Symbiotic, volume 9961 of Lecture Notes in Computer Science, page 125-136. (2016)Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces., , , and . ICANN (1), volume 6791 of Lecture Notes in Computer Science, page 36-43. Springer, (2011)Parameter interpretation, regularization and source localization in multivariate linear models., , , , , , and . PRNI, page 1-4. IEEE, (2014)