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2020 – today
- 2024
[c16]Victoria Vysotska, Lyubomyr Chyrun, Serhii Vladov, Sofia Chyrun, Oksana Markiv, Liubov Kolyasa, Valerii Sokurenko, Oleksandr Muzychuk, Arsen Blyzniuk, Rostyslav Fedchuk:
Intelligent system development for detecting suicidal intentions based on Ukrainian literary works analysis. CIAW 2024: 167-186- 2023
- [c15]Andrii Mykytiuk, Victoria Vysotska, Oksana Markiv, Lyubomyr Chyrun, Yaroslav Pelekh:
Technology of Fake News Recognition Based on Machine Learning Methods. COLINS (1) 2023: 311-330 - [c14]Volodymyr Motyka, Victoria Vysotska, Lyubomyr Chyrun, Oksana Markiv, Sofia Chyrun, Liubov Kolyasa:
System Project for Ukrainian-language Feedback Tonality Analysis in the Health Care Field Based on BERT Model. CSIT 2023: 1-6 - [c13]Anastasiia Sartiukova, Oksana Markiv, Victoria Vysotska, Iryna Shakleina, Nataliia Sokulska, Ihor Romanets:
Remote Voice Control of Computer Based on Convolutional Neural Network. IDAACS 2023: 1058-1064 - [c12]Victoria Vysotska, Oksana Markiv, Stepan Tchynetskyi, Bohdan Polishchuk, Oksana Bratasyuk, Valentyna Panasyuk:
Sentiment Analysis of Information Space as Feedback of Target Audience for Regional E-Business Support in Ukraine. MoMLeT+DS 2023: 488-513 - [c11]Taras Sopin, Victoria Vysotska, Oksana Markiv, Lyubomyr Chyrun, Vasyl Andrunyk, Sofia Chyrun, Oleh Naum:
Information Technology for Foreign Languages Remote Learning with Adaptation to the User Based on Machine Learning. MoMLeT+DS 2023: 526-550 - 2022
- [c10]Victoria Vysotska, Oksana Markiv, Sofiia Teslia, Yeva Romanova, Inesa Pihulechko:
Correlation Analysis of Text Author Identification Results Based on N-Grams Frequency Distribution in Ukrainian Scientific and Technical Articles. COLINS 2022: 277-314 - [c9]Bohdan Korostynskyi, Oleksandr Mediakov, Victoria Vysotska, Oksana Markiv, Michal Duda:
Analysis of Geo-Economic Distribution of Scientific Publications Citation and Self-Citation Standardized Indices Based on Machine Learning. COLINS 2022: 1657-1683 - [c8]Serhii Voloshyn, Victoria Vysotska
, Oksana Markiv, Ivan Dyyak, Ihor Budz, Vadim Schuchmann:
Sentiment Analysis Technology of English Newspapers Quotes Based on Neural Network as Public Opinion Influences Identification Tool. CSIT 2022: 83-88 - [c7]Serhii Voloshyn, Oksana Markiv, Victoria Vysotska, Ivan Dyyak, Lyubomyr Chyrun, Valentyna Panasyuk:
Emotion Recognition System Project of English Newspapers to Regional E-Business Adaptation. CSIT 2022: 392-397 - [c6]Sergey Tyshko, Oleksandr Lavrut, Victoria Vysotska, Oksana Markiv, Oleh Zabula, Yurii Chernichenko, Tetiana Lavrut:
Compensatory Method for Measuring Phase Shift Using Signals Bisemiperiodic Conversion in Diagnostic Intelligence Systems. MoMLeT+DS 2022: 144-154 - [c5]Nataliia Kholodna, Victoria Vysotska, Oksana Markiv, Sofiia Chyrun:
Machine Learning Model for Paraphrases Detection Based on Text Content Pair Binary Classification. MoMLeT+DS 2022: 283-306 - [c4]Oleksandr Mediakov, Bohdan Korostynskyi, Victoria Vysotska, Oksana Markiv, Sofiia Chyrun:
Experimental and Exploratory Analysis of Programming Languages Popularity According to the PYPL Index. MoMLeT+DS 2022: 307-332
2010 – 2019
- 2018
- [c3]Vasyl Lytvyn, Volodymyr Kuchkovskiy, Victoria Vysotska, Oksana Markiv, Viktor Pabyrivskyy:
Architecture of System for Content Integration and Formation Based on Cryptographic Consumer Needs. CSIT (1) 2018: 391-395 - 2017
- [c2]Pavlo Zhezhnych, Oksana Markiv:
A linguistic method of web-site content comparison with tourism documentation objects. CSIT (1) 2017: 340-343 - 2016
- [c1]Nataliya Melnykova, Oksana Markiv:
Semantic approach to personalization of medical data. CSIT 2016: 59-61
Coauthor Index
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last updated on 2024-12-12 21:57 CET by the dblp team
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