Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques. - P. J. García Nieto; Esperanza García Gonzalo; Fernando Sánchez Lasheras; José Pablo Paredes-Sánchez; P. Riesgo Fernández (J. Comput. Appl. Math., 2019)

Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques. - P. J. García Nieto; Esperanza García Gonzalo; José Pablo Paredes-Sánchez; Antonio Bernardo Sánchez; M. Menéndez Fernández (Neural Comput. Appl., 2019)

Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques. - Paulino José García Nieto; Esperanza García Gonzalo; José Pablo Paredes-Sánchez (Neural Comput. Appl., 2021)

A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression. - Paulino José García Nieto; Esperanza García Gonzalo; José Pablo Paredes-Sánchez; Antonio Bernardo Sánchez (Neural Comput. Appl., 2021)