Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2020Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
Hägele, M.; Seegerer, P.; Lapuschkin, S.; Bockmayr, M.; Samek, W.; Klauschen, F.; Müller, K.-R.; Binder, A.
Zeitschriftenaufsatz
2019Explaining the unique nature of individual gait patterns with deep learning
Horst, F.; Lapuschkin, S.; Samek, W.; Müller, K.-R.; Schöllhorn, W.I.
Zeitschriftenaufsatz
2019iNNvestigate Neural Networks!
Alber, M.; Lapuschkin, S.; Seegerer, P.; Hägele, M.; Schütt, K.T.; Montavon, G.; Samek, W.; Müller, K.R.; Dähne, S.; Kindermans, P.J.
Zeitschriftenaufsatz
2019Unmasking Clever Hans predictors and assessing what machines really learn
Lapuschkin, S.; Wäldchen, S.; Binder, A.; Montavon, G.; Samek, W.; Müller, K.-R.
Zeitschriftenaufsatz
2018Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Samek, W.; Binder, A.; Lapuschkin, S.; Müller, K.-R.
Konferenzbeitrag
2017Evaluating the Visualization of What a Deep Neural Network Has Learned
Samek, W.; Binder, A.; Montavon, G.; Lapuschkin, S.; Müller, K.R.
Zeitschriftenaufsatz
2017Explaining nonlinear classification decisions with deep Taylor decomposition
Montavon, G.; Lapuschkin, S.; Binder, A.; Samek, W.; Müller, K.-R.
Zeitschriftenaufsatz
2017Interpretable human action recognition in compressed domain
Srinivasan, V.; Lapuschkin, S.; Hellge, C.; Müller, K.-R.; Samek, W.
Konferenzbeitrag
2016Interpretable deep neural networks for single-trial EEG classification
Sturm, I.; Lapuschkin, S.; Samek, W.; Müller, K.-R.
Zeitschriftenaufsatz
2016Layer-wise relevance propagation for neural networks with local renormalization layers
Binder, A.; Montavon, G.; Lapuschkin, S.; Müller, K.-R.; Samek, W.
Konferenzbeitrag
2016The LRP toolbox for artificial neural networks
Lapuschkin, S.; Binder, A.; Montavon, G.; Müller, K.-R.; Samek, W.
Zeitschriftenaufsatz