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Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation.

, , , , , and . IWANN (2), volume 10306 of Lecture Notes in Computer Science, page 525-537. Springer, (2017)

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Multi-objective evolutionary algorithm for donor-recipient decision system in liver transplants., , , , and . European Journal of Operational Research, 222 (2): 317-327 (2012)Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation., , , , , and . IWANN (2), volume 10306 of Lecture Notes in Computer Science, page 525-537. Springer, (2017)Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks., , , , and . Artificial Intelligence in Medicine, 58 (1): 37-49 (2013)Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem., , , , , and . Soft Comput., 17 (2): 275-284 (2013)An ensemble approach for ordinal threshold models applied to liver transplantation., , , , and . IJCNN, page 1-8. IEEE, (2012)Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation., , , , and . IWANN (2), volume 6692 of Lecture Notes in Computer Science, page 129-136. Springer, (2011)Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients., , , , , and . GECCO (Companion), page 479-486. ACM, (2011)Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem., , , , , and . Artificial Intelligence in Medicine, (2017)Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset., , , , , and . IDEAL (2), volume 11872 of Lecture Notes in Computer Science, page 97-104. Springer, (2019)