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K nearest neighbours with mutual information for simultaneous classification and missing data imputation.

, , , and . Neurocomputing, 72 (7-9): 1483-1493 (2009)

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Pattern Classification with Missing Values using Multitask Learning., , and . IJCNN, page 3594-3601. IEEE, (2006)Efficient Automatic Selection and Combination of EEG Features in Least Squares Classifiers for Motor Imagery Brain-Computer Interfaces., , and . Int. J. Neural Syst., (2013)Multi-task Neural Networks for Dealing with Missing Inputs., , , and . IWINAC (1), volume 4527 of Lecture Notes in Computer Science, page 282-291. Springer, (2007)Segmentation of Sequences of Stereoscopic Images for Modelling Artificial Muscles., , , and . IWINAC (2), volume 4528 of Lecture Notes in Computer Science, page 152-161. Springer, (2007)A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients., , , , and . J. Biomed. Informatics, (2015)A Support Vector Method for Estimating Joint Density of Medical Images., , , and . IWINAC (2), volume 4528 of Lecture Notes in Computer Science, page 162-170. Springer, (2007)K-nearest neighbours based on mutual information for incomplete data classification., , , and . ESANN, page 37-42. (2008)Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values., , , and . Comput. Biol. Medicine, (2015)K nearest neighbours with mutual information for simultaneous classification and missing data imputation., , , and . Neurocomputing, 72 (7-9): 1483-1493 (2009)Exploiting Multitask Learning Schemes Using Private Subnetworks., , , and . IWANN, volume 3512 of Lecture Notes in Computer Science, page 233-240. Springer, (2005)