Articles with public access mandates - Wojciech SamekLearn more
Not available anywhere: 6
Divergence-based framework for common spatial patterns algorithms
W Samek, M Kawanabe, KR Müller
IEEE Reviews in Biomedical Engineering 7, 50-72, 2014
Mandates: German Research Foundation
Objective quality assessment of stereoscopic images with vertical disparity using EEG
FS Avarvand, S Bosse, KR Müller, R Schäfer, G Nolte, T Wiegand, ...
Journal of Neural Engineering 14 (4), 046009, 2017
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Viewport Forecasting in 360° Virtual Reality Videos with Machine Learning
J Vielhaben, H Camalan, W Samek, M Wenzel
2019 IEEE International Conference on Artificial Intelligence and Virtual …, 2019
Mandates: Federal Ministry of Education and Research, Germany
Explainable deep learning: concepts, methods, and new developments
W Samek
Explainable Deep Learning AI, 7-33, 2023
Mandates: European Commission, Federal Ministry of Education and Research, Germany
Alternative CSP approaches for multimodal distributed BCI data
S Brandl, KR Müller, W Samek
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 003742 …, 2016
Mandates: German Research Foundation
Deep Learning for Whole-Brain Cognitive Decoding
KR Müller, AW Thomas, W Samek
2022 10th International Winter Conference on Brain-Computer Interface (BCI), 1-3, 2022
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Available somewhere: 128
On Pixel-wise Explanations for Non-Linear Classifier Decisions by Layer-wise Relevance Propagation
S Bach, A Binder, G Montavon, F Klauschen, KR Müller, W Samek
PLOS ONE 10 (7), e0130140, 2015
Mandates: German Research Foundation, Human Frontier Science Program
Methods for interpreting and understanding deep neural networks
G Montavon, W Samek, KR Müller
Digital Signal Processing 73, 1-15, 2018
Mandates: German Research Foundation
Explaining nonlinear classification decisions with deep taylor decomposition
G Montavon, S Lapuschkin, A Binder, W Samek, KR Müller
Pattern Recognition 65, 211-222, 2017
Mandates: German Research Foundation
Robust and communication-efficient federated learning from non-iid data
F Sattler, S Wiedemann, KR Müller, W Samek
IEEE Transactions on Neural Networks and Learning Systems 31 (9), 3400-3413, 2020
Mandates: German Research Foundation, Fraunhofer-Gesellschaft, Federal Ministry of …
Evaluating the visualization of what a deep neural network has learned
W Samek, A Binder, G Montavon, S Lapuschkin, KR Müller
IEEE Transactions on Neural Networks and Learning Systems 28 (11), 2660-2673, 2017
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
S Lapuschkin, S Wäldchen, A Binder, G Montavon, W Samek, KR Müller
Nature Communications 10, 1096, 2019
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
S Bosse, D Maniry, KR Müller, T Wiegand, W Samek
IEEE Transactions on Image Processing 27 (1), 206-219, 2018
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
W Samek, G Montavon, S Lapuschkin, CJ Anders, KR Müller
Proceedings of the IEEE 109 (3), 247-278, 2021
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Clustered federated learning: Model-agnostic distributed multi-task optimization under privacy constraints
F Sattler, KR Müller, W Samek
IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3710-3722, 2021
Mandates: German Research Foundation
A unifying review of deep and shallow anomaly detection
L Ruff, JR Kauffmann, RA Vandermeulen, G Montavon, W Samek, M Kloft, ...
Proceedings of the IEEE 109 (5), 756-795, 2021
Mandates: US Department of Defense, German Research Foundation, Federal Ministry of …
Layer-Wise Relevance Propagation: An Overview
G Montavon, A Binder, S Lapuschkin, W Samek, KR Müller
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning 11700 …, 2019
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Towards explainable artificial intelligence
W Samek, KR Müller
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning 11700 …, 2019
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
PTB-XL, a large publicly available electrocardiography dataset
P Wagner, N Strodthoff, RD Bousseljot, D Kreiseler, FI Lunze, W Samek, ...
Scientific Data 7 (1), 1-15, 2020
Mandates: European Commission, Federal Ministry of Education and Research, Germany
Interpretable deep neural networks for single-trial EEG classification
I Sturm, S Lapuschkin, W Samek, KR Müller
Journal of Neuroscience Methods 274, 141-145, 2016
Mandates: German Research Foundation
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