Multivariate LSTM-FCNs for time series classification
Abstract
Over the past decade, multivariate time series classification has received great attention. We propose transforming the existing univariate time series classification models, the Long Short Term Memory Fully Convolutional Network (LSTM-FCN) and Attention LSTM-FCN (ALSTM-FCN), into a multivariate time series classification model by augmenting the fully convolutional block with a squeeze-and-excitation block to further improve accuracy. Our...
Paper Details
Title
Multivariate LSTM-FCNs for time series classification
Published Date
Aug 1, 2019
Journal
Volume
116
Pages
237 - 245
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