482 citations · 744 across the 13 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.LG2016★ 48 cited
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
Zhiguang Wang, Weizhong Yan, Tim Oates
We propose a simple but strong baseline for time series classification from scratch with deep neural networks. Our proposed baseline models are pure end-to-end without any heavy pr…
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.LG2016★ 15 cited
Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series
Lu Liu, Zhiguang Wang
Time series and signals are attracting more attention across statistics, machine learning and pattern recognition as it appears widely in the industry especially in sensor and IoT…