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Kernel covariance series smoothing., and . MLSP, page 1-6. IEEE, (2015)On the differential benchmarking of promotional efficiency with machine learning modeling (I): Principles and statistical comparison., , , , and . Expert Syst. Appl., 39 (17): 12772-12783 (2012)On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit., , , , and . CoRR, (2021)Interpreting clinical latent representations using autoencoders and probabilistic models., , , and . Artif. Intell. Medicine, (2021)Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods., , , , , , , , , and 1 other author(s). J. Biomed. Informatics, (2016)Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit., , , , and . Entropy, 21 (6): 603 (2019)Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance., , , , , and . Future Gener. Comput. Syst., (2022)Nonlinear Characteristics of Ventricular FibrillationDepend on Myocardial Infarction Locations., , , , , and . CinC, page 619-622. www.cinc.org, (2013)Domain over size: Clinical ELECTRA surpasses general BERT for bleeding site classification in the free text of electronic health records., , , , , and . BHI, page 1-4. IEEE, (2022)Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods., , , , and . BIBM, page 2826-2833. IEEE, (2021)