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Differentially-Private "Draw and Discard" Machine Learning: Training Distributed Model from Enormous Crowds.

, , , , , , and . CSCML, volume 13301 of Lecture Notes in Computer Science, page 468-486. Springer, (2022)

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Detecting Gene Regulatory Networks from Microarray Data Using Fuzzy Logic., , and . Fuzzy Systems in Bioinformatics and Computational Biology, volume 242 of Studies in Fuzziness and Soft Computing, Springer, (2009)RankAggreg, an R package for weighted rank aggregation., , and . BMC Bioinform., (2009)Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach., , and . Bioinform., 23 (13): 1607-1615 (2007)RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response., , and . ACM Conference on Computer and Communications Security, page 1054-1067. ACM, (2014)Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries., , and . CoRR, (2015)Differentially-Private "Draw and Discard" Machine Learning., , , , , , and . CoRR, (2018)An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data., , and . BMC Bioinform., (2010)Reconstruction of genetic association networks from microarray data: a partial least squares approach., , and . Bioinform., 24 (4): 561-568 (2008)Gene expression anti-profiles as a basis for accurate universal cancer signatures., , , , and . BMC Bioinform., (2012)MmPalateMiRNA, an R package compendium illustrating analysis of miRNA microarray data., , , , , and . Source Code for Biology and Medicine, (2013)