48 citations · 81 across the 5 of their papers we have counts for
4 papers
Taylor Genetic Programming for Symbolic Regression
Baihe He, Qiang Lu, Qingyun Yang +2
Genetic programming (GP) is a commonly used approach to solve symbolic regression (SR) problems. Compared with the machine learning or deep learning methods that depend on the pre-…
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…
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…
Crafting the strain state in epitaxial thin films: A case study of CoFe2O4 films on Pb(Mg,Nb)O3-PbTiO3
Zhiguang Wang, Yaojin Wang, Haosu Luo +2
The strain dependence of electric and magnetic properties has been widely investigated, both from a fundamental science perspective and an applications point of view. Electromechan…