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Leveraging Subsequence-orders for Univariate and Multivariate Time-series Classification.

, , and . SDM, page 495-503. SIAM, (2019)

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Reinventing Biostatistics Education for Basic Scientists, , , , , , and . PLOS Biology, 14 (4): e1002430 (April 2016)Formació; Recerca bàsica; Estudi petit.Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics., , and . BMC Bioinform., 14 (S-12): S5 (2013)Which links should I use?: a variogram-based selection of relationship measures for prediction of node attributes in temporal multigraphs., , , , and . ASONAM, page 676-683. ACM, (2013)Distinguishability of graphs: a case for quantum-inspired measures., , and . ASONAM, page 48-55. ACM, (2021)Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion., and . ECML/PKDD (3), volume 6913 of Lecture Notes in Computer Science, page 553-568. Springer, (2011)A robust data scaling algorithm for gene expression classification., and . BIBE, page 1-4. IEEE Computer Society, (2015)Learning with Discrete Multi-Valued Neurons., and . ML, page 392-399. Morgan Kaufmann, (1990)The Protein Non-Folding Problem: Amino Acid Determinants of Intrinsic Order and Disorder., , , , , , , , and . Pacific Symposium on Biocomputing, page 89-100. (2001)Prediction of Boundaries Between Intrinsically Ordered and Disordered Protein Regions., , , and . Pacific Symposium on Biocomputing, page 216-227. (2003)Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data., and . ICMLA (2), page 178-183. IEEE, (2012)978-1-4673-4651-1.