1. Beucler, T., Pritchard, M., Gentine, P. and Stephan R (2020). Towards physically-consistent, data-driven models of convection. ArXiv:2002.08525 [Physics], April. http://arxiv.org/abs/2002.08525.
2. Bontempi, G. (2019). The induction problem: A machine learning vindication argument. In N. Giuseppe, P. Panos, U. Renato, G. Giovanni, & S. Vincenzo (Eds.), Machine learning optimization, and data science. Lecture notes in computer science (pp. 232–43). Springer International Publishing. https://doi.org/10.1007/978-3-030-37599-7_20
3. Breiman, L. (2001). Statistical modeling: The two cultures. Statistical Science, 16(3), 199–231.
4. Broad, C. D. (1926). The philosophy of Francis Bacon: An address delivered at Cambridge on the occasion of the Bacon Tercentenary. Cambridge University Press.
5. Buolamwini, J. (2018). and Timnit Gebru. Gender shades: Intersectional accuracy disparities in commercial gender classification. In Conference on Fairness, Accountability and Transparency, (pp. 77–91). PMLR. http://proceedings.mlr.press/v81/buolamwini18a.html.