Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification-Reference-Cited by-同舟云学术

Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification

Published:2020-07 Issue: Volume:524 Page:1-14
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Cabrera Diego^ORCID,Sancho Fernando,Cerrada Mariela^ORCID,Sánchez René-Vinicio^ORCID,Li Chuan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference30 articles.

1. The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines;Antoni;Mech. Syst. Signal Process.,2006

2. Mathematical Methods for Physicists, 6th Edition;Arfken,2005

3. Time-series classification with COTE: the collective of transformation-based ensembles;Bagnall;IEEE Trans. Knowl. Data Eng.,2015

4. Analysis of repetitive mechanism signatures;Braun;J. Sound Vib.,1980

5. D. Cabrera, Cnn1d, 2018, (https://github.com/diegoroman17/cnn1d).

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