Oleksandr Gurbych

According to our database, Oleksandr Gurbych authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Filling the Gap in LogP $$ LogP $$ and pK a $$ {pK}_a $$ Evaluation for Saturated Fluorine-Containing Derivatives With Machine Learning.

Oleksandr Gurbych, Petro Pavliuk, Dmytro Krasnienkov, Oleksandr Liashuk, Kostiantyn Melnykov, Oleksandr O. Grygorenko

J. Comput. Chem., 2025

2024

Enhancing Solar Energy Production Forecasting Using Advanced Machine Learning and Deep Learning Techniques: A Comprehensive Study on the Impact of Meteorological Data.

Nataliya Shakhovska, Mykola O. Medykovskyy, Oleksandr Gurbych, Mykhailo Mamchur, Mykhailo Melnyk

Comput. Mater. Continua, 2024

LOT: Combining LOB and OHCLV Data for Improved Stock Trading.

Oleksandr Gurbych, Ostap Bodnar

Proceedings of the 2024 IEEE 19th International Conference on Computer Science and Information Technologies (CSIT), 2024

2023

Advancing molecular graphs with descriptors for the prediction of chemical reaction yields.

Dzvenymyra Yarish, Sofiya Garkot, Oleksandr O. Grygorenko, Dmytro S. Radchenko, Yurii S. Moroz, Oleksandr Gurbych

J. Comput. Chem., January, 2023

2022

Complex machine learning model needs complex testing: Examining predictability of molecular binding affinity by a graph neural network.

Tymofii Yu. Nikolaienko, Oleksandr Gurbych, Maksym Druchok

J. Comput. Chem., 2022

2021

Toward efficient generation, correction, and properties control of unique drug-like structures.

Maksym Druchok, Dzvenymyra Yarish, Oleksandr Gurbych, Mykola Maksymenko

J. Comput. Chem., 2021

Ensembling machine learning models to boost molecular affinity prediction.

Maksym Druchok, Dzvenymyra Yarish, Sofiya Garkot, Tymofii Yu. Nikolaienko, Oleksandr Gurbych

Comput. Biol. Chem., 2021

2020

High throughput screening with machine learning.

Oleksandr Gurbych, Maksym Druchok, Dzvenymyra Yarish, Sofiya Garkot

CoRR, 2020