Articles

Galeshchuk S. (2016). Neural networks performance in exchange rate prediction. Neurocomputing. V. 172. pp. 446-452

Galeshchuk S. (2023). Abstractive summarization for the Ukrainian language: Multi-task learning with hromadske. ua news dataset. Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP). pp.49-53

Galeshchuk S. (2024). Entity Embellishment Mitigation in LLMs Output with Noisy Synthetic Dataset for Alignment. Proceedings of the Third Ukrainian Natural Language Processing Workshop (UNLP)@ LREC-COLING 2024. pp. 129-134.

Galeshchuk S., Mukherjee S. (2017). Deep networks for predicting direction of change in foreign exchange rates Intelligent Systems in Accounting, Finance and Management. Volume 24, Issue 4, pp.100-110

Kuuseok, A. (2020). Decision Making Process Based on Descriptive Similarity in Case of Insufficient Data. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1293. Springer, Cham.

Skarbarchuk О. (2019). Legal status of a legal entity as an element of proof in deciding whether to pay a fine in accordance with Part 3 of Art. 96-7 of the Criminal Code of Ukraine. Підприємництво, господарство і право (№ 3). pp. 322-326.

Skarbarchuk, O. G. (2025). Problematic aspects of suspending monetary payments to military personnel. Journal of the National University of Ostroh Academy. Series “Law,” (1), 34–39.

Skarbarchuk, O. G. (2025). The concept of “quasi-criminal offense”. Journal of the National University “Ostrog Academy.” Series “Law,” (2), 30–34.