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Imbalanced Data Classification Using a Relevant Information-Based Sampling Approach.

, , , , , and . IWAIPR, volume 11047 of Lecture Notes in Computer Science, page 280-287. Springer, (2018)

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Imbalanced Data Classification Using a Relevant Information-Based Sampling Approach., , , , , and . IWAIPR, volume 11047 of Lecture Notes in Computer Science, page 280-287. Springer, (2018)A Gaussian Process Emulator for Estimating the Volume of Tissue Activated During Deep Brain Stimulation., , , , , and . IbPRIA, volume 9117 of Lecture Notes in Computer Science, page 691-699. Springer, (2015)Automatic Choice of the Number of Nearest Neighbors in Locally Linear Embedding., , , and . CIARP, volume 5856 of Lecture Notes in Computer Science, page 77-84. Springer, (2009)Global and local choice of the number of nearest neighbors in locally linear embedding., , , and . Pattern Recognition Letters, 32 (16): 2171-2177 (2011)Human Activity Recognition by Class Label LLE., , , , and . CIARP, volume 7441 of Lecture Notes in Computer Science, page 260-267. Springer, (2012)Student Desertion Prediction Using Kernel Relevance Analysis., , , , , and . IWAIPR, volume 11047 of Lecture Notes in Computer Science, page 263-270. Springer, (2018)A latent force model for describing electric propagation in deep brain stimulation: A simulation study., , , , and . EMBC, page 2617-2620. IEEE, (2014)Biomedical Data Analysis by Supervised Manifold Learning., , and . EMBC, page 41-44. IEEE, (2012)Image Synthesis Based on Manifold Learning., , , , and . CAIP (2), volume 6855 of Lecture Notes in Computer Science, page 405-412. Springer, (2011)Regularization parameter choice in locally linear embedding., , and . Neurocomputing, 73 (10-12): 1595-1605 (2010)