A Fuzzy-Probabilistic Representation Learning Method for Time Series Classification-Reference-Cited by-同舟云学术

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A Fuzzy-Probabilistic Representation Learning Method for Time Series Classification

Published:2024-05 Issue:5 Volume:32 Page:2940-2952
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Erazo-Costa Fabricio Javier¹^ORCID,Silva Petrônio C. L.²^ORCID,Guimarães Frederico Gadelha³^ORCID

Affiliation:

1. Graduate Program in Electrical Engineering, Universidade Federal de Minas Gerais - UFMG, Belo Horizonte, Brazil

2. Federal Institute of Northern Minas Gerais, IFNMG, Januária, Brazil

3. Department of Computer Science, Universidade Federal de Minas Gerais - UFMG, Belo Horizonte, Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Foundation for Research of the State of Minas Gerais

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/91/10517720/10432971.pdf?arnumber=10432971

Reference69 articles.

1. Introduction to Time Series and Forecasting

2. The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

3. Deep learning for time series classification: a review

4. Fuzzy sets

5. Fuzzy time series and its models

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