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ORCIDOksana Mulesa
Person information
- affiliation: Uzhhorod National University, Uzhhorod, Ukraine
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2020 – today
- 2023
[c19]Oksana Mulesa, Olena Melnyk, Petro Horvat
, Marian Tokar, Vladyslav Peresoliak, Hanna Kumar:
Modeling of Decision-Making Processes in the Service Management System. CSIT 2023: 1-4- [c18]Oksana Mulesa, Bogdan Rublyov, Igor Povkhan, Ihor Sihetii, Nika Kocherha, Yurii Bilak:
Designing the Algorithms for Constructing a Triangle with Maximum Area. CSIT 2023: 1-4 - [c17]Oksana Mulesa, Marian Tokar, Tamara Radivilova, Olena Yatsyna, Mariia Shnitser:
Information Technology Development for Social Services Consumers' Choice. IT&I 2023: 58-68 - 2022
- [c16]Oksana Mulesa, Mykola Kotsipak, Serge Dolgikh, Yurii Bilak, Tamara Radivilova, Oleksii Baranovskyi:
Collaborative Human-AI Decision-Making Systems with Numerical Channels. ACIT 2022: 5-8 - [c15]Igor Povkhan, Oksana Mulesa, Olena Melnyk, Yuriy Bilak, Volodymyr Polishchuk:
The Problem of Convergence of Classifiers Construction Procedure in the Schemes of Logical and Algorithmic Classification Trees. CMIS 2022: 1-13 - [c14]Oksana Mulesa, Olga Kachmar, Ivan Myronyuk, Petro Horvat, Tamara Radivilova, Yevhenii Kykyna:
Designing Semi-Automated Decision-Making Expert Systems for Healthcare Tasks. CSIT 2022: 235-238 - [c13]Oksana Mulesa, Olena Yatsyna, Olena Melnyk, Ivan Myronyuk, Igor Povkhan, Anatoliy Batyuk:
Prediction of the Occurrence of Threatening Conditions in Individuals as a Problem of Assigning an Object to a Class. CSIT 2022: 332-335 - 2021
- [c12]Oksana Mulesa, Anatoliy Batyuk, Fedir Geche, Olena Melnyk, Mykola Palinchak, Tamara Radivilova:
Information technology for time series forecasting based on the evolutionary method of the forecasting scheme synthesis. CSIT (2) 2021: 258-261 - [c11]Tamara Radivilova, Lyudmyla Kirichenko, Oleksandr Lemeshko, Dmytro Ageyev, Oksana Mulesa, Andrii Ilkov:
Analysis of Anomaly Detection and Identification Methods in 5G Traffic. IDAACS 2021: 1108-1113 - [c10]Serge Dolgikh, Oksana Mulesa:
Collaborative Human-AI Decision-Making Systems. IntSol Workshops 2021: 96-105 - [c9]Oksana Mulesa, Oleksandr Mitsa, Tamara Radivilova, Igor Povkhan, Olena Melnyk:
Development of a Method to Find the Location of a Logistics Hub. IT&I 2021: 263-271 - 2020
- [c8]Fedir Geche, Anatoliy Batyuk, Oksana Mulesa, Veronika Voloshchuk:
The Combined Time Series Forecasting Model. DSMP 2020: 272-275 - [c7]Serge Dolgikh, Oksana Mulesa:
Covid-19 Epidemiological Factor Analysis: Identifying Principal Factors with Machine Learning. IT&I 2020: 114-123
2010 – 2019
- 2019
- [c6]Fedir Geche, Oksana Mulesa, Veronika Voloshchuk, Anatoliy Batyuk:
Generalized Logical Neural Functions Over The Galois Field And Their Properties. CSIT (1) 2019: 21-24 - [c5]Fedir Geche, Oksana Mulesa, Anatoliy Batyuk, Veronika Voloshchuk:
Properties of Logical Functions Implemented by One Generalized Neural Element over the Galois Field. CSIT 2019: 202-213 - 2018
- [c4]Oksana Mulesa, Fedir Geche, Anatoliy Batyuk, Ivan Myronyuk:
Using A Systematic Approach in the Process of the Assessment Problem Analysis of the Staff Capacity Within the Health Care Institution. CSIT (1) 2018: 177-180 - [c3]Fedir Geche, Anatoliy Batyuk, Oksana Mulesa, Veronika Voloshchuk:
About Kernel Structure Construction of the Generalized Neural Functions. DSMP 2018: 151-156 - 2017
- [c2]Oksana Mulesa, Fedir Geche, Veronika Voloshchuk, Viktor Buchok, Anatoliy Batyuk:
Information technology for time series forecasting with considering fuzzy expert evaluations. CSIT (1) 2017: 105-108 - 2015
- [c1]Oksana Mulesa, Fedir Geche, Anatoliy Batyuk:
Information technology for determining structure of social group based on fuzzy c-means. CSIT 2015: 60-62
Coauthor Index
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