A Bayesian-inspired deep learning method for semi-supervised domain adaptation designed for land cover mapping from satellite image time series (SITS)
As presented in: https://link.springer.com/article/10.1007/s10994-020-05942-z
Bibtex reference: @article{lucas2021bayesian, title={A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping}, author={Lucas, Benjamin and Pelletier, Charlotte and Schmidt, Daniel and Webb, Geoffrey I and Petitjean, Fran{\c{c}}ois}, journal={Machine Learning}, pages={1--33}, year={2021}, publisher={Springer} }