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Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Sebastian Lapuschkin, Alexander Binder, Klaus-Robert Müller +1
Recently, deep neural networks have demonstrated excellent performances in recognizing the age and gender on human face images. However, these models were applied in a black-box ma…
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation
Wojciech Samek, Grégoire Montavon, Alexander Binder +2
Complex nonlinear models such as deep neural network (DNNs) have become an important tool for image classification, speech recognition, natural language processing, and many other…
Sharing Hash Codes for Multiple Purposes
Wikor Pronobis, Danny Panknin, Johannes Kirschnick +6
Locality sensitive hashing (LSH) is a powerful tool for sublinear-time approximate nearest neighbor search, and a variety of hashing schemes have been proposed for different dissim…
Multiple Kernel Learning for Brain-Computer Interfacing
Wojciech Samek, Alexander Binder, Klaus-Robert Müller
Combining information from different sources is a common way to improve classification accuracy in Brain-Computer Interfacing (BCI). For instance, in small sample settings it is us…
Transferring Subspaces Between Subjects in Brain-Computer Interfacing
Wojciech Samek, Frank C. Meinecke, Klaus-Robert Müller
Compensating changes between a subjects' training and testing session in Brain Computer Interfacing (BCI) is challenging but of great importance for a robust BCI operation. We show…