Interpretable deep neural networks for single-trial EEG classification
暂无分享,去创建一个
Klaus-Robert Müller | Wojciech Samek | Sebastian Bach | Irene Sturm | K. Müller | W. Samek | S. Bach | I. Sturm | Sebastian Bach
[1] Cuntai Guan,et al. On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[2] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[3] J. van Leeuwen,et al. Neural Networks: Tricks of the Trade , 2002, Lecture Notes in Computer Science.
[4] Alexander Binder,et al. Analyzing Classifiers: Fisher Vectors and Deep Neural Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Hod Lipson,et al. Understanding Neural Networks Through Deep Visualization , 2015, ArXiv.
[6] Sebastian Bosse,et al. EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs) , 2015, Journal of neural engineering.
[7] Vince D. Calhoun,et al. Deep learning for neuroimaging: a validation study , 2013, Front. Neurosci..
[8] K.-R. Muller,et al. Optimizing Spatial filters for Robust EEG Single-Trial Analysis , 2008, IEEE Signal Processing Magazine.
[9] Ricardo Chavarriaga,et al. The timing of exploratory decision-making revealed by single-trial topographic EEGanalyses , 2012, NeuroImage.
[10] K. Müller,et al. Single-trial analysis of the neural correlates of speech quality perception , 2013, Journal of neural engineering.
[11] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[12] Alexander Binder,et al. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation , 2015, PloS one.
[13] M. Rupp,et al. Machine learning of molecular electronic properties in chemical compound space , 2013, 1305.7074.
[14] François Laviolette,et al. Domain-Adversarial Training of Neural Networks , 2015, J. Mach. Learn. Res..
[15] Lucas C. Parra,et al. Recipes for the linear analysis of EEG , 2005, NeuroImage.
[16] Arnaud Delorme,et al. Grand average ERP-image plotting and statistics: A method for comparing variability in event-related single-trial EEG activities across subjects and conditions , 2015, Journal of Neuroscience Methods.
[17] Stephanie Brandl,et al. Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment , 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).
[18] Stefan Haufe,et al. Single-trial analysis and classification of ERP components — A tutorial , 2011, NeuroImage.
[19] Alexander Binder,et al. Evaluating the Visualization of What a Deep Neural Network Has Learned , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[20] Klaus-Robert Müller,et al. Subject-independent mental state classification in single trials , 2009, Neural Networks.
[21] G. Pfurtscheller,et al. The BCI competition III: validating alternative approaches to actual BCI problems , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[22] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[23] Quoc V. Le,et al. Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis , 2011, CVPR 2011.
[24] Tamer Ölmez,et al. A Neural Network-Based Optimal Spatial Filter Design Method for Motor Imagery Classification , 2015 .
[25] Klaus-Robert Müller,et al. Efficient BackProp , 2012, Neural Networks: Tricks of the Trade.
[26] Alexander Binder,et al. Explaining nonlinear classification decisions with deep Taylor decomposition , 2015, Pattern Recognit..