Spatio-Temporal Consistency for Multivariate Time-Series Representation Learning-Reference-Cited by-同舟云学术

Spatio-Temporal Consistency for Multivariate Time-Series Representation Learning

Published:2024 Issue: Volume:12 Page:30962-30975
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lee Sangho¹^ORCID,Kim Wonjoon²^ORCID,Son Youngdoo¹^ORCID

Affiliation:

1. Department of Industrial and Systems Engineering, Dongguk University, Seoul, Republic of Korea

2. Division of Future Convergence (HCI Science Major), Dongduk Women’s University, Seoul, Republic of Kore

Funder

National Research Foundation of Korea

Ministry of Science and ICT (MSIT) of Korea

Ministry of Education

Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry (IPET) through Smart Agri Products Flow Storage Technology Development Program

Ministry of Agriculture, Food and Rural Affairs (MAFRA) of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10445124.pdf?arnumber=10445124

Reference47 articles.

1. Restricted Relevance Vector Machine for Missing Data and Application to Virtual Metrology

2. Time-Varying Gaussian Markov Random Fields Learning for Multivariate Time Series Clustering

3. Efficient visibility algorithm for high-frequency time-series: application to fault diagnosis with graph convolutional network

4. Opportunities and obstacles for deep learning in biology and medicine

5. Weighted co-association rate-based Laplacian regularized label description for semi-supervised regression

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