A multi-level interpretable sleep stage scoring system by infusing experts' knowledge into a deep network architecture

11 July 2022

Papers citing "A multi-level interpretable sleep stage scoring system by infusing experts' knowledge into a deep network architecture"

20 / 20 papers shown

Title
Automated Sleep Staging via Parallel Frequency-Cut Attention Zheng Chen Ziwei Yang Lingwei Zhu Wei Chen T. Tamura N. Ono M. Altaf-Ul-Amin Shigehiko Kanaya Ming Huang 36 17 0 07 Apr 2022
CGCNN: Complex Gabor Convolutional Neural Network on raw speech Paul-Gauthier Noé Titouan Parcollet Mohamed Morchid 47 29 0 11 Feb 2020
Towards Explainable Deep Neural Networks (xDNN) Plamen Angelov Eduardo Soares AAML 72 261 0 05 Dec 2019
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis Tianfu Li Zhibin Zhao Chuang Sun Li Cheng Xuefeng Chen Ruqaing Yan Ruize Gao 49 328 0 12 Nov 2019
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning Huy P Phan Oliver Y. Chén P. Koch Zongqing Lu Ian Mcloughlin Alfred Mertins M. D. Vos 106 117 0 30 Jul 2019
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging Huy P Phan Fernando Andreotti Navin Cooray Oliver Y. Chén M. D. Vos 101 418 0 28 Sep 2018
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification Huy P Phan Fernando Andreotti Navin Cooray Oliver Y. Chén M. D. Vos 110 340 0 16 May 2018
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning Ulysse Côté-Allard C. Fall Alexandre Drouin Alexandre Campeau-Lecours C. Gosselin K. Glette François Laviolette Benoit Gosselin 51 556 0 10 Jan 2018
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 70 781 0 02 Oct 2017
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series Stanislas Chambon M. Galtier P. Arnal G. Wainrib Alexandre Gramfort MLAU AI4TS 68 489 0 05 Jul 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 213 2,894 0 14 Mar 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG A. Supratak Hao Dong Chao Wu Yike Guo 82 958 0 12 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 5,989 0 04 Mar 2017
Mixed Neural Network Approach for Temporal Sleep Stage Classification Hao Dong A. Supratak W. Pan Chao Wu Paul M. Matthews Yike Guo 45 245 0 15 Oct 2016
Generating Visual Explanations Lisa Anne Hendricks Zeynep Akata Marcus Rohrbach Jeff Donahue Bernt Schiele Trevor Darrell VLM FAtt 84 620 0 28 Mar 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,326 0 14 Dec 2015
Attention to Scale: Scale-aware Semantic Image Segmentation Liang-Chieh Chen Yi Yang Jiang Wang Wei Xu Alan Yuille SSeg 119 1,319 0 10 Nov 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 437 20,568 0 10 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,308 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,893 0 12 Nov 2013