1. Survey on deep neural networks in speech and vision systems;Alam;Neurocomputing,2020
2. Non-transfer deep learning of optical coherence tomography for post-hoc explanation of macular disease classification;Arefin,2021
3. Adaptive dropout for training deep neural networks;Ba,2013
4. Bellec, G., Kappel, D., Maass, W., & Legenstein, R. (2018). Deep rewiring: Training very sparse deep networks. In 6th international conference on learning representations.
5. Deep neural networks and tabular data: A survey;Borisov,2021