Mykhailo Luchkevych

According to our database, Mykhailo Luchkevych authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Classification of Dynamic Objects Using a Multilayer Perceptron.

Ivan Peleshchak, Diana Koshtura, Mykhailo Luchkevych, Volodymyr Tymchuk

Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, 2024

2023

Smart Search and Diagnosis Assistant System for Physicians.

Mariia Nazarkevych, Oleh Faizulin, Mykhailo Luchkevych

Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), 2023

Intelligent Analysis of Ukrainian-Language Tweets of Regional Public Opinion Study and Management.

Andrii Berko, Lyubomyr Chyrun, Oleh Prokipchuk, Sofia Chyrun, Valentyna Panasyuk, Mykhailo Luchkevych

Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

2022

Domain Ontology Learning using Link Grammar Parser and WordNet.

Dmytro Dosyn, Yousef Ibrahim Daradkeh, Vira Kovalevych, Mykhailo Luchkevych, Yaroslav Kis

Proceedings of the Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022, 2022

Intelligent Analysis of Best-Selling Books Statistics on Amazon.

Andrii Vasyliuk, Yurii Matseliukh, Taras Batiuk, Mykhailo Luchkevych, Iryna Shakleina, Halyna Harbuzynska, Serhii Kondratiuk, Ksenia Zelenska

Proceedings of the 6th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2022). Volume I: Main Conference, 2022

2021

The Content Analysis Method for the Information Resources Formation in Electronic Content Commerce Systems.

Andrii Berko, Vasyl Andrunyk, Lyubomyr Chyrun, Mykhailo Sorokovskyy, Oksana Oborska, Oksana Oryshchyn, Mykhailo Luchkevych, Oksana Brodovska

Proceedings of the 5th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2021). Volume I: Main Conference, 2021

2020

Detecting Items with the Biggest Weight Based on Neural Network and Machine Learning Methods.

Vitaliy Danylyk, Victoria Vysotska, Vasyl Lytvyn, Svitlana Vyshemyrska, Iryna Lurie, Mykhailo Luchkevych

DSMP (Selected Papers), 2020