A Deep Neural Network Framework for Multivariate Time Series Classification With Positive and Unlabeled Data-Reference-Cited by-同舟云学术

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A Deep Neural Network Framework for Multivariate Time Series Classification With Positive and Unlabeled Data

Published:2023 Issue: Volume:11 Page:20877-20884
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ienco Dino¹^ORCID

Affiliation:

1. INRAE, UMR TETIS, University of Montpellier, Montpellier, France

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10056929.pdf?arnumber=10056929

Reference39 articles.

1. Deep multivariate time series embedding clustering via attentive-gated autoencoder;ienco;Proc PAKDD,2020

2. Attention is all you need;vaswani;Proc NIPS,2017

3. LSTM: A Search Space Odyssey

4. Visualizing data using t-SNE;van der maaten;J Mach Learn Res,2008

5. Learning from positive and unlabeled data with a selection bias;kato;Proc ICLR,2019

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