Development of fully convolutional neural networks based on discretization in time series classification-Reference-Cited by-同舟云学术

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Development of fully convolutional neural networks based on discretization in time series classification

Published:2022 Issue: Volume: Page:1-1
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Hajizadeh Tahan Marzieh¹,Ghasemzadeh Mohammad¹,Asadi Shahrokh²

Affiliation:

1. Marzieh Hajizadeh Tahan and Mohammad Ghasemzadeh are with Computer Engineering Department, Yazd University, Yazd, Iran, CO 89195 741

2. Shahrokh Asadi is with Data Mining Laboratory, Department of Engineering, Farabi Campus, University of Tehran, Tehran, Iran

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09782550.pdf?arnumber=9782550

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mgformer: Multi-group transformer for multivariate time series classification;Engineering Applications of Artificial Intelligence;2024-07

2. Soft Hybrid Knowledge Distillation against deep neural networks;Neurocomputing;2024-02

3. Diagnostic Method for Short Circuit Faults at the Generator End of Ship Power Systems Based on MWDN and Deep-Gated RNN-FCN;Journal of Marine Science and Engineering;2023-09-16

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