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Machine Learning for Critical Care: An Overview and a Sepsis Case Study.

, , , , and . IWBBIO (1), volume 10208 of Lecture Notes in Computer Science, page 15-30. (2017)

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Neural Networks and Other Machine Learning Methods in Cancer Research., and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 964-971. Springer, (2007)An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD., and . Neural Comput. Appl., 10 (1): 3-11 (2001)Sepsis mortality prediction with the Quotient Basis Kernel., , , and . Artif. Intell. Medicine, 61 (1): 45-52 (2014)Quantitative Characterization and Prediction of On-Line Purchasing Behavior: A Latent Variable Approach., , and . Int. J. Electron. Commer., 4 (4): 83-104 (2000)Advances in Semi-Supervised Alignment-Free Classication of G Protein-Coupled Receptors., , and . IWBBIO, page 759-766. Copicentro Editorial, (2013)The coming of age of interpretable and explainable machine learning models., , , , and . Neurocomputing, (2023)Visual interpretation of class C GPCR subtype overlapping from the nonlinear mapping of transformed primary sequences., , and . BHI, page 764-767. IEEE, (2014)The extracellular N-terminal domain suffices to discriminate class C G Protein-Coupled Receptor subtypes from n-grams of their sequences., , , and . IJCNN, page 1-7. IEEE, (2015)The effect of noise and sample size on an unsupervised feature selection method for manifold learning., and . IJCNN, page 522-527. IEEE, (2008)On the benefits for model regularization of a variational formulation of GTM., and . IJCNN, page 1568-1575. IEEE, (2008)