1. Chapter 2 - Machine Learning with Shallow Neural Networks, Neural Networks and Deep Learning;Aggarwal,2018
2. T. Akiba, S. Sano, T. Yanase, T. Ohta, M. Koyama, “Optuna: A Next-generation Hyperparameter Optimization Framework”, arXiv, 2019, 10.48550/arXiv.1907.10902.
3. Deep learning approach to nuclear fuel transmutation in a fuel cycle simulator;Bae;Ann. Nucl. Energy,2020
4. Random Forests;Breiman;Mach. Learn.,2001
5. S. Caruso, E. Vlassopoulos, R. Dagan, L. Fiorito, M. Herm, P. Jansson, M. Kromar, M. Király, J. Leppanen, F. F. Marquez, V. Metz, D. Papaioannou, to L. E. Herranz, D. Rochman, P. Schillebeeckx, M. Seidl, A. H. Solis, A. Stankovskiy, F. A. Velarde, M. Verwerft, Ma N. R. Villagra, U. Zencker, G. Žerovnik, “Final version as of 14.03.2022 of deliverable D8.1 of the HORIZON 2020 project EURAD. EC Grant agreement no: 847593”, 2022.