The Hierarchical Classifier for COVID-19 Resistance Evaluation

by Nataliya Shakhovska, Ivan Izonin, Nataliia Melnykova
Published 2021-01-01

An approach towards missing data management using improved GRNN-SGTM ensemble method

by Ivan Izonin, Roman Tkachenko, Volodymyr Verhun, Khrystyna Zub
Published 2021-06-01

The Additive Input-Doubling Method Based on the SVR with Nonlinear Kernels: Small Data Approach

by Ivan Izonin, Roman Tkachenko, Nataliya Shakhovska, Nataliia Lotoshynska
Published 2021-04-01

An Approach towards the Protection for Printed Documents by Means of Latent Elements with Fractal Grids and Electronic Determination of Its Authenticity

by Mariya Nazarkevych, Ivan Izonin, Michal Gregus ml., Nataliia Lotoshynska
Published 2020-04-01

An Approach towards Increasing Prediction Accuracy for the Recovery of Missing IoT Data Based on the GRNN-SGTM Ensemble

by Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, Ivanna Dronyuk, Khrystyna Zub
Published 2020-05-01

Development of the Non-Iterative Supervised Learning Predictor Based on the Ito Decomposition and SGTM Neural-Like Structure for Managing Medical Insurance Costs

by Roman Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Nataliia Lotoshynska, Olena Pavlyuk
Published 2018-10-01

Development of machine learning method of titanium alloy properties identification in additive technologies

by Roman Tkachenko, Zoia Duriagina, Ihor Lemishka, Ivan Izonin, Andriy Trostianchyn
Published 2018-06-01

Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method

by Ivan Izonin, Roman Tkachenko, Ivanna Dronyuk, Pavlo Tkachenko, Michal Gregus, Mariia Rashkevych
Published 2021-04-01