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Disambiguation of "Cho, Michael H."

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Inferring Disease Status by Non-parametric Probabilistic Embedding.

, , , , and . MCV/BAMBI@MICCAI, volume 10081 of Lecture Notes in Computer Science, page 49-57. Springer, (2016)

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Miyeon Cho

Photooxygenierung in Mikroemulsionen und mit dualen Photokatalysatoren. Uni Köln, (2009)

Michael H Stieglitz

Michael H Schoenberg

Michael H Holthausen

Michael H Thung

 

Other publications of authors with the same name

Crowdclustering with Partition Labels., , , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1127-1136. PMLR, (2018)A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies., , , and . IPMI, volume 10265 of Lecture Notes in Computer Science, page 170-183. Springer, (2017)Clustering from Multiple Uncertain Experts., , , , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 28-36. PMLR, (2017)A diVIsive Shuffling Approach (VIStA) for gene expression analysis to identify subtypes in Chronic Obstructive Pulmonary Disease., , , , , , , , , and 6 other author(s). BMC Syst. Biol., 8 (S-2): S8 (2014)A unifying framework for rare variant association testing in family-based designs, including higher criticism approaches, SKATs, and burden tests., , , , , , , , , and . Bioinform., 36 (22-23): 5432-5438 (2021)Improved prediction of smoking status via isoform-aware RNA-seq deep learning models., , , , , , , , , and 2 other author(s). PLoS Comput. Biol., (2021)Clustering with Domain-Specific Usefulness Scores., , , , , and . SDM, page 207-215. SIAM, (2017)Inferring Disease Status by Non-parametric Probabilistic Embedding., , , , and . MCV/BAMBI@MICCAI, volume 10081 of Lecture Notes in Computer Science, page 49-57. Springer, (2016)Multiple Clustering Views from Multiple Uncertain Experts., , , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 674-683. PMLR, (2017)A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes., , , , , , , , and . IEEE Trans. Medical Imaging, 36 (1): 343-354 (2017)