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Classification-based deep neural network vs mixture density network models for insulin sensitivity prediction problem., , , , , and . Comput. Methods Programs Biomed., (October 2023)Maximizing Likelihood Function for Parameter Estimation in Point Clouds via Groebner Basis., , and . ICMS, volume 8592 of Lecture Notes in Computer Science, page 359-366. Springer, (2014)Specific validation analysis of stochastic ICING model based estimation of insulin sensitivity profile using clinical data., , , , , and . SMC, page 4317-4324. IEEE, (2016)Fitting a Sphere via Gröbner Basis., , and . ICMS, volume 10931 of Lecture Notes in Computer Science, page 319-327. Springer, (2018)Classification of Time Series Using Singular Values and Wavelet Subband Analysis with ANN and SVM Classifiers., , and . J. Adv. Comput. Intell. Intell. Informatics, 10 (4): 498-503 (2006)Solving Robust Glucose-Insulin Control by Dixon Resultant Computations., , and . SYNASC, page 53-61. IEEE Computer Society, (2012)Groebner Basis in Geodesy and Geoinformatics., , and . ICMS, volume 8592 of Lecture Notes in Computer Science, page 367-373. Springer, (2014)Pareto optimality solution of the multi-objective photogrammetric resection-intersection problem., and . Earth Sci. Informatics, 6 (1): 1-20 (2013)Application of Dixon resultant to satellite trajectory control by pole placement.. J. Symb. Comput., (2013)Application of Dixon resultant to maximization of the likelihood function of Gaussian mixture distribution., , and . ACM Commun. Comput. Algebra, 49 (2): 57 (2015)