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ORCIDAnastasiia Doroshenko
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2020 – today
- 2025
[j2]Olga Narushynska
, Anastasiya Doroshenko, Vasyl Teslyuk, Volodymyr Antoniv, Maksym Arzubov:
Enhancing Hierarchical Classification in Tree-Based Models Using Level-Wise Entropy Adjustment. Big Data Cogn. Comput. 9(3): 65 (2025)- 2024
- [j1]Olga Narushynska, Vasyl Teslyuk, Anastasiya Doroshenko, Maksym Arzubov:
Data Sorting Influence on Short Text Manual Labeling Quality for Hierarchical Classification. Big Data Cogn. Comput. 8(4): 41 (2024) - [c15]Vasyl Teslyuk, Anastasiya Doroshenko, Olga Narushynska:
Preprocessing product descriptions with byte pair encoding: a solution for abbreviation-heavy texts. CIAW 2024: 57-76 - [c14]Anastasiya Doroshenko, Dmytro Savchuk:
Predicting road accidents in smart cities: machine learning approach for enhanced safety. CIAW 2024: 122-136 - 2023
- [c13]Vasyl Teslyuk, Anastasiya Doroshenko, Dmytro Savchuk:
Intelligent Methods and Models for Assessing Level of Student Adaptation to Online Learning. COLINS (1) 2023: 331-343 - 2022
- [c12]Anastasiya Doroshenko:
Trustworthy AI in Medicine and Healthcare - abstract. IDDM 2022 - 2021
- [c11]Anastasiya Doroshenko, Kvitoslava Obelovska, Olha Bilyk:
Risk analysis of personal data loss in wireless sensor networks. CITRisk 2021: 260-274 - [c10]Dmytro Savchuk, Anastasiya Doroshenko:
Investigation of machine learning classification methods effectiveness. CSIT (1) 2021: 33-37 - [c9]Serhii Hlod, Anastasiya Doroshenko:
Application of augmented reality technologies for education. CSIT (2) 2021: 159-162 - 2020
- [c8]Anastasiya Doroshenko:
Analysis of the Distribution of COVID-19 in Italy Using Clustering Algorithms. DSMP 2020: 325-328
2010 – 2019
- 2019
- [c7]Anastasiya Doroshenko:
Application of Global Optimization Methods to Increase the Accuracy of Classification in the Data Mining Tasks. CMIS 2019: 98-109 - 2018
- [c6]Natalia Sharonova, Anastasiia Doroshenko, Olga Cherednichenko:
Issues of Fact-based Information Analysis. COLINS 2018: 11-19 - [c5]Anastasiya Doroshenko, Roman Tkachenko:
Classification of Imbalanced Classes Using the Committee of Neural Networks. CSIT (1) 2018: 400-403 - [c4]Anastasiya Doroshenko:
Piecewise-Linear Approach to Classification Based on Geometrical Transformation Model for Imbalanced Dataset. DSMP 2018: 231-235 - [c3]Roman Tkachenko, Hakan Kutucu, Ivan Izonin, Anastasiya Doroshenko, Yurii Tsymbal:
Non-iterative Neural-like Predictor for Solar Energy in Libya. ICTERI 2018: 35-45 - [c2]Ihor Oleksiv, Ivan Izonin, Viktoriya Kharchuk, Roman Tkachenko, Anastasiia Doroshenko:
Identification of IT Sector Stakeholder's Requirements to Masters Program in Information System in Lviv Region. ICTERI 2018: 429-437 - 2016
- [c1]Mykola Medykovskyy, Ivan Tsmots, Yurii Tsymbal, Anastasiya Doroshenko:
Development of a regional energy efficiency control system on the basis of intelligent components. CSIT 2016: 18-20
Coauthor Index
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