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Machine learning for predicting astigmatism in patients with keratoconus after intracorneal ring implantation.

, , , , and . BHI, page 756-759. IEEE, (2014)

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An integrated framework for risk profiling of breast cancer patients following surgery., , , and . Artificial Intelligence in Medicine, 42 (3): 165-188 (2008)Seeing is believing: The importance of visualization in real-world machine learning applications., , , and . ESANN, (2011)Machine learning for predicting astigmatism in patients with keratoconus after intracorneal ring implantation., , , , and . BHI, page 756-759. IEEE, (2014)A principled approach to network-based classification and data representation., , , , and . Neurocomputing, (2013)The role of Fisher information in primary data space for neighbourhood mapping., , , and . ESANN, (2011)Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps., , , , and . ESANN, (2011)Growing Hierarchical Sectors on Sectors., , , , , and . ESANN, (2011)Towards interpretable classifiers with blind signal separation., , , , , , and . IJCNN, page 1-7. IEEE, (2012)Computational Intelligence in biomedicine: Some contributions., , and . ESANN, (2010)Neural models for the analysis of kidney disease patients., , , , and . ESANN, (2010)