1. Flower classification: Training augmentation using manifold images;Aich,2015
2. Increasing the accuracy of Convolutional Neural Networks with progressive reinitialisation;Atkinson,2017
3. Comparative effectiveness of Convolutional Neural Networks (CNN) and Recurrent Neural Network (RNN) architectures for radiology text report classification;Banerjee;AI Medicine,2019
4. Berthelot, D., Carlini, N., Goodfellow, I., Oliver, A., Papernot, N., & Raffel, C. (2019). MixMatch: A Holistic Approach to Semi-Supervised Learning. In Proceedings of the 33rd international conference on neural information processing systems.
5. Deep neural network concepts for background subtraction: A systematic review and comparative evaluation;Bouwmans;Neural Networks,2019