An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis-Reference-Cited by-同舟云学术

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An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis

Published:2023-10-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT)
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Author:

Izonin Ivan¹,Tkachenko Roman²,Shcherbii Ostap¹,Berezsky Oleh³,Krak Iurii⁴,Oliinyk Maksym¹

Affiliation:

1. Lviv Polytechnic National University,Department of Artificial Intelligence,Lviv,Ukraine

2. Lviv Polytechnic National University,Department of Publishing Information Technologies,Lviv,Ukraine

3. West Ukrainian National University,Department of Computer Engineering,Ternopil,Ukraine

4. Taras Shevchenko National University of Kyiv,Department of Theoretical Cybernetics,Kyiv,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10323600/10323603/10324122.pdf?arnumber=10324122

Reference19 articles.

1. A linear ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis;izonin;International Journal of Intelligent Systems,2023

2. An Integral Software Solution of the SGTM Neural-Like Structures Implementation for Solving Different Data Mining Tasks;tkachenko;Lecture Notes on Data Engineering and Communications Technologies,2022

3. Hybridization of the SGTM Neural-Like Structure Through Inputs Polynomial Extension

4. SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets

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