Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients. - Manuel Cruz-Ramírez; Juan Carlos Fernández Caballero; Francisco Fernández-Navarro; Javier Briceño; Manuel de la Mata; César Hervás-Martínez (GECCO (Companion), 2011)

Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation. - Manuel Cruz-Ramírez; César Hervás-Martínez; Pedro Antonio Gutiérrez; Javier Briceño; Manuel de la Mata (IWANN (2), 2011)

An ensemble approach for ordinal threshold models applied to liver transplantation. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez; Javier Briceño; Manuel de la Mata (IJCNN, 2012)

Multi-objective evolutionary algorithm for donor-recipient decision system in liver transplants. - Manuel Cruz-Ramírez; César Hervás-Martínez; Juan Carlos Fernández 001; Javier Briceño; Manuel de la Mata (Eur. J. Oper. Res., 2012)

Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks. - Manuel Cruz-Ramírez; César Hervás-Martínez; Juan Carlos Fernández 001; Javier Briceño; Manuel de la Mata (Artif. Intell. Medicine, 2013)

Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem. - Manuel Cruz-Ramírez; César Hervás-Martínez; Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Javier Briceño; Manuel de la Mata (Soft Comput., 2013)

Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation. - María Pérez-Ortiz 001; Kelwin Fernandes; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Javier Briceño; César Hervás-Martínez (IWANN (2), 2017)

Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem. - Manuel Dorado-Moreno; María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Rubén Ciria; Javier Briceño; César Hervás-Martínez (Artif. Intell. Medicine, 2017)

Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; María Dolores Ayllón-Terán; N. Heaton; Rubén Ciria; Javier Briceño; César Hervás-Martínez (Knowl. Based Syst., 2017)

Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset. - David Guijo-Rubio; Pedro J. Villalón-Vaquero; Pedro Antonio Gutiérrez; María Dolores Ayllón-Terán; Javier Briceño; César Hervás-Martínez (IDEAL (2), 2019)

Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. - Marcos Rivera-Gavilán; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Javier Briceño; César Hervás-Martínez; David Guijo-Rubio (IWANN (2), 2023)