1. Backpropagation and stochastic gradient descent method;Amari;Neurocomputing,1993
2. Granulation-based self-training for the semi-supervised classification of remote-sensing images;Aydav;Granular Comput.,2020
3. Quantification of subpixel cover fractions using principal component analysis and a linear programming method: application to the coastal zone of Roscoff (France);Bajjouk;Remote Sens. Environ.,1998
4. Berthelot, D., Carlini, N., Cubuk, E.D., Kurakin, A., Sohn, K., Zhang, H., Raffel, C., 2019a. Remixmatch: Semi-supervised learning with distribution alignment and augmentation anchoring. arXiv preprint arXiv:1911.09785.
5. Berthelot, D., Carlini, N., Goodfellow, I., Papernot, N., Oliver, A., Raffel, C., 2019b. Mixmatch: A holistic approach to semi-supervised learning. arXiv preprint arXiv:1905.02249.