Сумський державний університет, Україна
Доктор технічних наук, професор
Кафедра комп’ютерних наук

Scopus ID: 36052468600
Researcher ID: AAH-1630-2021
Google Scholar profile: link
ORCID ID: https://orcid.org/0000-0003-1829-3318

Selected Publications:

1. Dovbysh, A. S., Shelehov, I. V., Romaniuk, A. M., Moskalenko, R. A., Savchenko, T. R. (2023). Decision-Making Support System for Diagnosis of Breast Oncopathologies by Histological Images. Cybernetics and Systems Analysis, 59 (3), 493–502. doi: https://doi.org/10.1007/s10559-023-00584-0
   
   
2. Dovbysh, A., Shelehov, I., Romaniuk, A., Moskalenko, R., Savchenko, T. (2023). Decision-making support system for diagnosis of oncopathologies by histological images. Journal of Pathology Informatics, 14, 100193. doi: https://doi.org/10.1016/j.jpi.2023.100193
   
   
3. Dovbysh, A., Liubchak, V., Shelehov, I., Simonovskiy, J., Tenytska, A. (2022). Information-extreme machine learning of a cyber attack detection system. RADIOELECTRONIC AND COMPUTER SYSTEMS, 3, 121–131. doi: https://doi.org/10.32620/reks.2022.3.09
   
   
4. Dovbysh, A. S., Budnyk, M. M., Piatachenko, V. Yu., Myronenko, M. I. (2020). Information-Extreme Machine Learning of On-Board Vehicle Recognition System. Cybernetics and Systems Analysis, 56 (4), 534–543. doi: https://doi.org/10.1007/s10559-020-00269-y
   
   
5. Dovbysh, A. S., Martynenko, S. S., Kovalenko, A. S., Budnyk, N. N. (2011). Information-extreme Algorithm for Recognizing Current Distribution Maps in Magnetocardiography. Journal of Automation and Information Sciences, 43 (2), 63–70. doi: https://doi.org/10.1615/jautomatinfscien.v43.i2.60
   
   
6. Dovbysh, A. S., Moskalenko, V. V., Rizhova, A. S. (2016). Information-Extreme Method for Classification of Observations with Categorical Attributes. Cybernetics and Systems Analysis, 52 (2), 224–231. doi: https://doi.org/10.1007/s10559-016-9818-1
   
   
7. Dovbysh, A. S., Budnyk, N. N., Moskalenko, V. V. (2012). Information-Extreme Algorithm for Optimizing Parameters of Hyperellipsoidal Containers of Recognition Classes. Journal of Automation and Information Sciences, 44 (10), 35–44. doi: https://doi.org/10.1615/jautomatinfscien.v44.i10.30