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2019 | DRAU: Dual Recurrent Attention Units for Visual Question Answering Osman, A.; Samek, W. | Journal Article |
2019 | Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G Strodthoff, N.; Göktepe, B.; Schierl, T.; Hellge, C.; Samek, W. | Journal Article |
2019 | Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network Bosse, S.; Becker, S.; Müller, K.-R.; Samek, W.; Wiegand, T. | Journal Article |
2019 | Explaining the unique nature of individual gait patterns with deep learning Horst, F.; Lapuschkin, S.; Samek, W.; Müller, K.-R.; Schöllhorn, W.I. | Journal Article |
2019 | Information theory applications in signal processing Cruces, S.; Martín-Clemente, R.; Samek, W. | Journal Article |
2019 | Learning the invisible: A hybrid deep learning-shearlet framework for limited angle computed tomography Bubba, T.A.; Kutyniok, G.; Lassas, M.; März, M.; Samek, W.; Siltanen, S.; Srinivasan, V. | Journal Article |
2019 | Quality perception of advanced multimedia systems. Editorial Zhai, G.; Gu, K.; Wang, J.; Samek, W. | Journal Article |
2019 | A recurrent convolutional neural network approach for sensorless force estimation in robotic surgery Marban, A.; Srinivasan, V.; Samek, W.; Férnandez, J.; Casals, A. | Journal Article |
2019 | Unmasking Clever Hans predictors and assessing what machines really learn Lapuschkin, S.; Wäldchen, S.; Binder, A.; Montavon, G.; Samek, W.; Müller, K.-R. | Journal Article |
2018 | Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition Bosse, S.; Acqualagna, L.; Samek, W.; Porbadnigk, A.K.; Curio, G.; Blankertz, B.; Müller, K.-R.; Wiegand, T. | Journal Article |
2018 | Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment Bosse, S.; Maniry, D.; Müller, K.; Wiegand, T.; Samek, W. | Journal Article |
2018 | Estimating Position & Velocity in 3D Space from Monocular Video Sequences Using a Deep Neural Network Marban, A.; Srinivasan, V.; Samek, W.; Fernández, J.; Casals, A. | Conference Paper |
2018 | Localizing bicoherence from EEG and MEG Shahbazi Avarvand, F.; Bartz, S.; Andreou, C.; Samek, W.; Leicht, G.; Mulert, C.; Engel, A.K.; Nolte, G. | Journal Article |
2018 | Methods for interpreting and understanding deep neural networks Montavon, G.; Samek, W.; Müller, K.-R. | Journal Article |
2018 | Neural network based intra prediction for video coding Pfaff, J.; Helle, P.; Maniry, D.; Kaltenstadler, S.; Samek, W.; Schwarz, H.; Marpe, D.; Wiegand, T. | Conference Paper |
2018 | On the Stimulation Frequency in SSVEP-based Image Quality Assessment Bosse, S.; Bagdasarian, M.T.; Samek, W.; Curio, G.; Wiegand, T. | Conference Paper |
2018 | A perceptually relevant shearlet-based adaptation of the PSNR Bosse, S.; Siekmann, M.; Samek, W.; Wiegand, T. | Conference Paper |
2018 | Transferring Information Between Neural Networks Ehmann, C.; Samek, W. | Conference Paper |
2018 | Understanding and Comparing Deep Neural Networks for Age and Gender Classification Samek, W.; Binder, A.; Lapuschkin, S.; Müller, K.-R. | Conference Paper |
2018 | Wasserstein stationary subspace analysis Kaltenstadler, S.; Nakajima, S.; Müller, K.-R.; Samek, W. | Journal Article |
2017 | "What is relevant in a text document?": An interpretable machine learning approach Arras, L.; Horn, F.; Montavon, G.; Müller, K.-R.; Samek, W. | Journal Article |
2017 | Detection of face morphing attacks by deep learning Seibold, C.; Samek, W.; Hilsmann, A.; Eisert, P. | Conference Paper |
2017 | Evaluating the Visualization of What a Deep Neural Network Has Learned Samek, W.; Binder, A.; Montavon, G.; Lapuschkin, S.; Müller, K.R. | Journal Article |
2017 | Explaining nonlinear classification decisions with deep Taylor decomposition Montavon, G.; Lapuschkin, S.; Binder, A.; Samek, W.; Müller, K.-R. | Journal Article |
2017 | Interpretable human action recognition in compressed domain Srinivasan, V.; Lapuschkin, S.; Hellge, C.; Müller, K.-R.; Samek, W. | Conference Paper |
2017 | Object boundary detection and classification with image-level labels Koh, J.Y.; Samek, W.; Müller, K.-R.; Binder, A. | Conference Paper |
2017 | Objective quality assessment of stereoscopic images with vertical disparity using EEG Avarvand, F.S.; Bosse, S.; Müller, K.-R.; Schäfer, R.; Nolte, G.; Wiegand, T.; Curio, G.; Samek, W. | Journal Article |
2017 | On robust parameter estimation in brain–computer interfacing Samek, W.; Nakajima, S.; Kawanabe, M.; Müller, K.-R. | Journal Article |
2017 | Quality assessment of 3D visualizations with vertical disparity: An ERP approach Shahbazi, F.; Bosse, S.; Nolte, G.; Wiegand, T.; Samek, W. | Conference Paper |
2016 | Alternative CSP approaches for multimodal distributed BCI data Brandl, S.; Müller, K.-R.; Samek, W. | Conference Paper |
2016 | Analyzing classifiers: Fisher vectors and deep neural networks Bach, S.; Binder, A.; Montavon, G.; Müller, K.-R.; Samek, W. | Conference Paper |
2016 | Brain-computer interfacing for multimedia quality assessment Bosse, S.; Müller, K.-R.; Wiegand, T.; Samek, W. | Conference Paper |
2016 | Brain–computer interfacing under distraction Brandl, S.; Frölich, L.; Höhne, J.; Müller, K.-R.; Samek, W. | Journal Article |
2016 | Controlling explanatory heatmap resolution and semantics via decomposition depth Bach, S.; Binder, A.; Müller, K.-R.; Samek, W. | Conference Paper |
2016 | A deep neural network for image quality assessment Bosse, S.; Maniry, D.; Wiegand, T.; Samek, W. | Conference Paper |
2016 | Hybrid video object tracking in H.265/HEVC video streams Gül, S.; Meyer, J.T.; Hellge, C.; Schierl, T.; Samek, W. | Conference Paper |
2016 | Identifying individual facial expressions by deconstructing a neural network Arbabzadah, F.; Montavon, G.; Müller, K.-R.; Samek, W. | Conference Paper |
2016 | Interpretable deep neural networks for single-trial EEG classification Sturm, I.; Lapuschkin, S.; Samek, W.; Müller, K.-R. | Journal Article |
2016 | Layer-wise relevance propagation for deep neural network architectures Binder, A.; Bach, S.; Montavon, G.; Müller, K.-R.; Samek, W. | Conference Paper |
2016 | Layer-wise relevance propagation for neural networks with local renormalization layers Binder, A.; Montavon, G.; Lapuschkin, S.; Müller, K.-R.; Samek, W. | Conference Paper |
2016 | The LRP toolbox for artificial neural networks Lapuschkin, S.; Binder, A.; Montavon, G.; Müller, K.-R.; Samek, W. | Journal Article |
2016 | Multiscale temporal neural dynamics predict performance in a complex sensorimotor task Samek, W.; Blythe, D.A.J.; Curio, G.; Müller, K.-R.; Blankertz, B.; Nikulin, V.V. | Journal Article |
2016 | Neural network-based full-reference image quality assessment Bosse, S.; Maniry, D.; Müller, K.-R.; Wiegand, T.; Samek, W. | Conference Paper |
2016 | On robust spatial filtering of EEG in nonstationary environments Samek, Wojciech | Journal Article |
2016 | On the robustness of action recognition methods in compressed and pixel domain Srinivasan, V.; Gul, S.; Bosse, S.; Meyer, J.T.; Schierl, T.; Hellge, C.; Samek, W. | Conference Paper |
2016 | Quality assessment of image patches distorted by image compression using crowdsourcing Bosse, S.; Siekmann, M.; Rasch, J.; Wiegand, T.; Samek, W. | Conference Paper |
2016 | Shearlet-based reduced reference image quality assessment Bosse, S.; Chen, Q.; Siekmann, M.; Samek, W.; Wiegand, T. | Conference Paper |
2015 | Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment Brandl, S.; Höhne, J.; Müller, K.-R.; Samek, W. | Conference Paper |
2015 | Investigating effects of different artefact types on motor imagery BCI Frølich, L.; Winkler, I.; Müller, K.-R.; Samek, W. | Conference Paper |
2015 | Learning from more than one data source: Data fusion techniques for sensorimotor rhythm-based brain-computer interfaces Fazli, S.; Dähne, S.; Samek, W.; Bießmann, F.; Müller, K.-R. | Journal Article |
2015 | Machine learning methods of the Berlin brain-computer interface Vidaurre, C.; Sannelli, C.; Samek, W.; Dähne, S.; Müller, K.-R. | Journal Article, Conference Paper |
2015 | Multivariate machine learning methods for fusing multimodal functional neuroimaging data Dähne, S.; Bießmann, F.; Samek, W.; Haufe, S.; Goltz, D.; Gundlach, C.; Villringer, A.; Fazli, S.; Müller, K.-R. | Journal Article |
2015 | On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation Bach, S.; Binder, A.; Montavon, G.; Klauschen, F.; Muller, KR.; Samek, W. | Journal Article |
2015 | Robust common spatial patterns based on Bhattacharyya distance and Gamma divergence Brandl, S.; Müller, K.-R.; Samek, W. | Conference Paper |
2015 | Tackling noise, artifacts and nonstationarity in BCI with robust divergences Samek, W.; Müller, K.-R. | Conference Paper |
2014 | Machine learning for visual concept recognition and ranking for images Binder, A.; Samek, W.; Müller, K.-R.; Kawanabe, M. | Book Article |
2013 | Enhanced representation and multi-task learning for image annotation Binder, A.; Samek, W.; Müller, K.R.; Kawanabe, M. | Journal Article |
2012 | Insights from classifying visual concepts with multiple kernel learning Binder, A.; Nakajima, S.; Kloft, M.; Müller, C.; Samek, W.; Brefeld, U.; Müller, K.R.; Kawanabe, M. | Journal Article |
2012 | Stationary common spatial patterns for brain-computer interfacing Samek, W.; Vidaurre, C.; Müller, K.-R.; Kawanabe, M. | Journal Article |
2011 | An information geometrical view of stationary subspace analysis Kawanabe, M.; Samek, W.; Bünau, P. von; Meinecke, F.C. | Conference Paper |
2011 | The joint submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the image CLEF 2011 photo annotation task Binder, A.; Samek, W.; Kloft, M.; Müller, C.; Müller, K.-R.; Kawanabe, M. | Conference Paper |
2011 | Multi-task learning via non-sparse multiple kernel learning Samek, W.; Binder, A.; Kawanabe, M. | Conference Paper |