100 citations · 110 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 100 cited
Gated Transformer Networks for Multivariate Time Series Classification
Minghao Liu, Shengqi Ren, Siyuan Ma +4
Deep learning model (primarily convolutional networks and LSTM) for time series classification has been studied broadly by the community with the wide applications in different dom…
cs.LG2016★ 10 cited
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization
Zhiguang Wang, Wei Song, Lu Liu +5
We propose a new model based on the deconvolutional networks and SAX discretization to learn the representation for multivariate time series. Deconvolutional networks fully exploit…
cs.LG2015
Empirical Studies on Symbolic Aggregation Approximation Under Statistical Perspectives for Knowledge Discovery in Time Series
Wei Song, Zhiguang Wang, Yangdong Ye +1
Symbolic Aggregation approXimation (SAX) has been the de facto standard representation methods for knowledge discovery in time series on a number of tasks and applications. So far,…