Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2019DRAU: Dual Recurrent Attention Units for Visual Question Answering
Osman, A.; Samek, W.
Journal Article
2019Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G
Strodthoff, N.; Göktepe, B.; Schierl, T.; Hellge, C.; Samek, W.
Journal Article
2019Estimation 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
2019Explaining the unique nature of individual gait patterns with deep learning
Horst, F.; Lapuschkin, S.; Samek, W.; Müller, K.-R.; Schöllhorn, W.I.
Journal Article
2019Information theory applications in signal processing
Cruces, S.; Martín-Clemente, R.; Samek, W.
Journal Article
2019Learning 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
2019Quality perception of advanced multimedia systems. Editorial
Zhai, G.; Gu, K.; Wang, J.; Samek, W.
Journal Article
2019A recurrent convolutional neural network approach for sensorless force estimation in robotic surgery
Marban, A.; Srinivasan, V.; Samek, W.; Férnandez, J.; Casals, A.
Journal Article
2019Unmasking Clever Hans predictors and assessing what machines really learn
Lapuschkin, S.; Wäldchen, S.; Binder, A.; Montavon, G.; Samek, W.; Müller, K.-R.
Journal Article
2018Assessing 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
2018Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
Bosse, S.; Maniry, D.; Müller, K.; Wiegand, T.; Samek, W.
Journal Article
2018Estimating 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
2018Localizing 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
2018Methods for interpreting and understanding deep neural networks
Montavon, G.; Samek, W.; Müller, K.-R.
Journal Article
2018Neural 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
2018On the Stimulation Frequency in SSVEP-based Image Quality Assessment
Bosse, S.; Bagdasarian, M.T.; Samek, W.; Curio, G.; Wiegand, T.
Conference Paper
2018A perceptually relevant shearlet-based adaptation of the PSNR
Bosse, S.; Siekmann, M.; Samek, W.; Wiegand, T.
Conference Paper
2018Transferring Information Between Neural Networks
Ehmann, C.; Samek, W.
Conference Paper
2018Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Samek, W.; Binder, A.; Lapuschkin, S.; Müller, K.-R.
Conference Paper
2018Wasserstein 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
2017Detection of face morphing attacks by deep learning
Seibold, C.; Samek, W.; Hilsmann, A.; Eisert, P.
Conference Paper
2017Evaluating the Visualization of What a Deep Neural Network Has Learned
Samek, W.; Binder, A.; Montavon, G.; Lapuschkin, S.; Müller, K.R.
Journal Article
2017Explaining nonlinear classification decisions with deep Taylor decomposition
Montavon, G.; Lapuschkin, S.; Binder, A.; Samek, W.; Müller, K.-R.
Journal Article
2017Interpretable human action recognition in compressed domain
Srinivasan, V.; Lapuschkin, S.; Hellge, C.; Müller, K.-R.; Samek, W.
Conference Paper
2017Object boundary detection and classification with image-level labels
Koh, J.Y.; Samek, W.; Müller, K.-R.; Binder, A.
Conference Paper
2017Objective 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
2017On robust parameter estimation in brain–computer interfacing
Samek, W.; Nakajima, S.; Kawanabe, M.; Müller, K.-R.
Journal Article
2017Quality assessment of 3D visualizations with vertical disparity: An ERP approach
Shahbazi, F.; Bosse, S.; Nolte, G.; Wiegand, T.; Samek, W.
Conference Paper
2016Alternative CSP approaches for multimodal distributed BCI data
Brandl, S.; Müller, K.-R.; Samek, W.
Conference Paper
2016Analyzing classifiers: Fisher vectors and deep neural networks
Bach, S.; Binder, A.; Montavon, G.; Müller, K.-R.; Samek, W.
Conference Paper
2016Brain-computer interfacing for multimedia quality assessment
Bosse, S.; Müller, K.-R.; Wiegand, T.; Samek, W.
Conference Paper
2016Brain–computer interfacing under distraction
Brandl, S.; Frölich, L.; Höhne, J.; Müller, K.-R.; Samek, W.
Journal Article
2016Controlling explanatory heatmap resolution and semantics via decomposition depth
Bach, S.; Binder, A.; Müller, K.-R.; Samek, W.
Conference Paper
2016A deep neural network for image quality assessment
Bosse, S.; Maniry, D.; Wiegand, T.; Samek, W.
Conference Paper
2016Hybrid video object tracking in H.265/HEVC video streams
Gül, S.; Meyer, J.T.; Hellge, C.; Schierl, T.; Samek, W.
Conference Paper
2016Identifying individual facial expressions by deconstructing a neural network
Arbabzadah, F.; Montavon, G.; Müller, K.-R.; Samek, W.
Conference Paper
2016Interpretable deep neural networks for single-trial EEG classification
Sturm, I.; Lapuschkin, S.; Samek, W.; Müller, K.-R.
Journal Article
2016Layer-wise relevance propagation for deep neural network architectures
Binder, A.; Bach, S.; Montavon, G.; Müller, K.-R.; Samek, W.
Conference Paper
2016Layer-wise relevance propagation for neural networks with local renormalization layers
Binder, A.; Montavon, G.; Lapuschkin, S.; Müller, K.-R.; Samek, W.
Conference Paper
2016The LRP toolbox for artificial neural networks
Lapuschkin, S.; Binder, A.; Montavon, G.; Müller, K.-R.; Samek, W.
Journal Article
2016Multiscale 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
2016Neural network-based full-reference image quality assessment
Bosse, S.; Maniry, D.; Müller, K.-R.; Wiegand, T.; Samek, W.
Conference Paper
2016On robust spatial filtering of EEG in nonstationary environments
Samek, Wojciech
Journal Article
2016On 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
2016Quality assessment of image patches distorted by image compression using crowdsourcing
Bosse, S.; Siekmann, M.; Rasch, J.; Wiegand, T.; Samek, W.
Conference Paper
2016Shearlet-based reduced reference image quality assessment
Bosse, S.; Chen, Q.; Siekmann, M.; Samek, W.; Wiegand, T.
Conference Paper
2015Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment
Brandl, S.; Höhne, J.; Müller, K.-R.; Samek, W.
Conference Paper
2015Investigating effects of different artefact types on motor imagery BCI
Frølich, L.; Winkler, I.; Müller, K.-R.; Samek, W.
Conference Paper
2015Learning 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
2015Machine learning methods of the Berlin brain-computer interface
Vidaurre, C.; Sannelli, C.; Samek, W.; Dähne, S.; Müller, K.-R.
Journal Article, Conference Paper
2015Multivariate 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
2015On 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
2015Robust common spatial patterns based on Bhattacharyya distance and Gamma divergence
Brandl, S.; Müller, K.-R.; Samek, W.
Conference Paper
2015Tackling noise, artifacts and nonstationarity in BCI with robust divergences
Samek, W.; Müller, K.-R.
Conference Paper
2014Machine learning for visual concept recognition and ranking for images
Binder, A.; Samek, W.; Müller, K.-R.; Kawanabe, M.
Book Article
2013Enhanced representation and multi-task learning for image annotation
Binder, A.; Samek, W.; Müller, K.R.; Kawanabe, M.
Journal Article
2012Insights 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
2012Stationary common spatial patterns for brain-computer interfacing
Samek, W.; Vidaurre, C.; Müller, K.-R.; Kawanabe, M.
Journal Article
2011An information geometrical view of stationary subspace analysis
Kawanabe, M.; Samek, W.; Bünau, P. von; Meinecke, F.C.
Conference Paper
2011The 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
2011Multi-task learning via non-sparse multiple kernel learning
Samek, W.; Binder, A.; Kawanabe, M.
Conference Paper