Multivariate Representation Learning
Multivariate Representation Learning is a machine learning framework that learns latent feature embeddings from multivariate time series data by jointly modeling the interdependencies among multiple correlated variables over time to improve classification performance.
115
Publications
6.8K
Citations
388
Authors
196
Institutions
Publications per year
2017–2026
63
Parents
115
Multivariate LSTM-FCNs for time series classification
Fazle Karim, Somshubra Majumdar, Houshang Darabi et al. · Neural Networks · 2019 · 1.1K citations · Full text
Multiple convolutional neural networks for multivariate time series prediction
Kang Wang, Kenli Li, Liqian Zhou et al. · Neurocomputing · 2019 · 228 citations
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UiT The Arctic University of Norway
Tromsø, Norway
4 h-index
12 publications
1.1K citations

Zhejiang University
Hangzhou, China
4 h-index
11 publications
248 citations
Korea University
Seoul, South Korea
3 h-index
7 publications
202 citations
University of Southern California
Los Angeles, United States
3 h-index
10 publications
471 citations
Nanjing University of Science and Technology
Nanjing, China
3 h-index
13 publications
166 citations
GIPSA-Lab
Grenoble, France
3 h-index
6 publications
159 citations
University College London
London, United Kingdom
3 h-index
5 publications
204 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
143 citations
1–8 of 196
7 publications · 338 citations
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Repository · 5 publications · 251 citations
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5 publications · 110 citations
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4 publications · 381 citations
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3 publications · 619 citations
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