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Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.

, , , and . BMC Bioinformatics, 18 (1): 9:1-9:14 (2017)

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Minimum redundancy maximum relevance feature selection approach for temporal gene expression data., , , and . BMC Bioinformatics, 18 (1): 9:1-9:14 (2017)Patient-specific early classification of multivariate observations., , and . IJDMB, 11 (4): 392-411 (2015)Utilizing temporal patterns for estimating uncertainty in interpretable early decision making., , and . KDD, page 402-411. ACM, (2014)eXITs: An Ensemble Approach for Imputing Missing EHR Data., , , , , and . ICHI, page 1-3. IEEE, (2019)Early Diagnosis and Its Benefits in Sepsis Blood Purification Treatment., , and . ICHI, page 523-528. IEEE Computer Society, (2013)False alarm suppression in early prediction of cardiac arrhythmia., , and . BIBE, page 1-6. IEEE Computer Society, (2015)Joint Learning of Representation and Structure for Sparse Regression on Graphs., , , , and . SDM, page 846-854. SIAM, (2016)Early classification of multivariate temporal observations by extraction of interpretable shapelets., and . BMC Bioinformatics, (2012)Extraction of Interpretable Multivariate Patterns for Early Diagnostics., , and . ICDM, page 201-210. IEEE Computer Society, (2013)Ranking Based Multitask Learning of Scoring Functions., , and . ECML/PKDD (2), volume 10535 of Lecture Notes in Computer Science, page 721-736. Springer, (2017)