Integration of residual network and convolutional neural network along with various activation functions and global pooling for time series classification-Reference-Cited by-同舟云学术

Integration of residual network and convolutional neural network along with various activation functions and global pooling for time series classification

Published:2019-11 Issue: Volume:367 Page:39-45
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zou Xiaowu,Wang Zidong^ORCID,Li Qi,Sheng Weiguo^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference45 articles.

1. The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances;Bagnall;Data Min. Knowl. Discov.,2017

2. A brief survey on sequence classification;Xing;ACM SIGKDD Explor. Newsl.,2010

3. Experimental comparison of representation methods and distance measures for time series data;Wang;Data Min. Knowl. Discov.,2013

4. Querying and mining of time series data: experimental comparison of representations and distance measures;Ding;Proc. VLDB Endow.,2008

5. Feature-based classification of time-series data;Nanopoulos;Int. J. Comput. Res.,2001

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