An Extended-Input GRNN and its Application. - Ivan Izonin; Natalia Kryvinska; Roman Tkachenko; Khrystyna Zub; Pavlo Vitynskyi (EUSPN/ICTH, 2019)

Recovery of Incomplete IoT Sensed Data using High-Performance Extended-Input Neural-Like Structure. - Ivan Izonin; Roman Tkachenko; Natalia Kryvinska; Khrystyna Zub; Oleksandra Mishchuk; Taras Lisovych (EUSPN/ICTH, 2019)

GRNN Approach Towards Missing Data Recovery Between IoT Systems. - Ivan Izonin; Natalia Kryvinska; Pavlo Vitynskyi; Roman Tkachenko; Khrystyna Zub (INCoS, 2019)

Analysis of Features and Abilities of Online Systems and Tools Meeting Information Needs of HEIs' Entrants. - Pavlo Zhezhnych; Oleksandr Berezko; Khrystyna Zub; Ivan Demydov (COAPSN, 2020)

Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach. - Ivan Izonin; Roman Tkachenko; Liliia Ryvak; Khrystyna Zub; Mariya Rashkevych; Olena Pavlyuk (IDDM, 2020)

An Approach towards Increasing Prediction Accuracy for the Recovery of Missing IoT Data based on the GRNN-SGTM Ensemble. - Roman Tkachenko; Ivan Izonin; Natalia Kryvinska; Ivanna Dronyuk; Khrystyna Zub (Sensors, 2020)

Input Doubling Method based on SVR with RBF kernel in Clinical Practice: Focus on Small Data. - Ivan Izonin; Roman Tkachenko; Michal Gregus; Khrystyna Zub; Nataliia Lotoshynska (ANT/EDI40, 2021)

A GRNN-based Approach towards Prediction from Small Datasets in Medical Application. - Ivan Izonin; Roman Tkachenko; Michal Gregus; Khrystyna Zub; Pavlo Tkachenko (ANT/EDI40, 2021)

Performance Evaluation of ML-based Classifiers for HEI Graduate Entrants. - Khrystyna Zub; Pavlo Zhezhnych (ProfIT AI, 2021)

Two-Stage PNN-SVM Ensemble for Higher Education Admission Prediction. - Khrystyna Zub; Pavlo Zhezhnych; Christine Strauss (Big Data Cogn. Comput., 2023)