arXiv
- VP Soloviev, C Bielza, P Larrañaga, Quantum Approximate Optimization Algorithm for Bayesian network structure learning arXiv preprint arXiv:2203.02400 – 2022
- G Varando, C Bielza, P Larrañaga, E Riccomagno , Markov Property in Generative Classifiers , arXiv preprint arXiv:1811.04759. – 2018
- I Córdoba-Sánchez, C Bielza, P Larrañaga, A review of undirected and acyclic directed Gaussian Markov model selection and estimation , arXiv preprint arXiv:1606.07282 . – 2016
- P Larranaga, R Etxeberria, JA Lozano, JM Pena, Combinatorial optimization by learning and simulation of Bayesian networks , arXiv preprint arXiv:1301.3871 . – 2013
medRxiv
- N Bernaola, G de Lima, M Riaño, L Llanos, S Heili-Frades, O Sanchez, … Decision trees for COVID-19 prognosis learned from patient data: Desaturating the ER with Artificial Intelligence . – 2022
- N Bernaola, R Mena, A Bernaola, C Carballo, A Lara, C Bielza, … Observational study of the efficiency of treatments in patients hospitalized with Covid-19 in Madrid . – 2020
bioRxiv