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Ordinal Regression Methods: Survey and Experimental Study., , , , and . IEEE Trans. Knowl. Data Eng., 28 (1): 127-146 (2016)Tackling the ordinal and imbalance nature of a melanoma image classification problem., , , , and . IJCNN, page 2156-2163. IEEE, (2016)Representing ordinal input variables in the context of ordinal classification., , , and . IJCNN, page 2174-2181. IEEE, (2016)Partial order label decomposition approaches for melanoma diagnosis., , , , and . Appl. Soft Comput., (2018)Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem., , , , and . HAIS, volume 9648 of Lecture Notes in Computer Science, page 451-462. Springer, (2016)Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem., , , , , and . Artificial Intelligence in Medicine, (2017)Kernelising the Proportional Odds Model through kernel learning techniques., , , , and . Neurocomputing, (2015)An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis., , , , , and . IWANN (1), volume 9094 of Lecture Notes in Computer Science, page 252-262. Springer, (2015)Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model., , , , , , and . IWANN (2), volume 9095 of Lecture Notes in Computer Science, page 92-102. Springer, (2015)An n-Spheres Based Synthetic Data Generator for Supervised Classification., , , and . IWANN (1), volume 7902 of Lecture Notes in Computer Science, page 613-621. Springer, (2013)