Cryptocurrencies short-term forecast: application of ARIMA, GARCH and SVR models. - Dovile Kuiziniene; Ausra Varoneckiene; Tomas Krilavicius (IVUS, 2019)

Deep Learning Methods Application in Finance: A Review of State of Art. - Dovile Kuiziniene; Tomas Krilavicius (IVUS, 2020)

Can merged datasets help in training money laundering detection models? - Paulius Savickas; Dovile Kuiziniene; Mantas Bugarevicius; Zilvinas Kybartas; Tomas Krilavicius (IVUS, 2022)

Systematic Review of Financial Distress Identification using Artificial Intelligence Methods. - Dovile Kuiziniene; Tomas Krilavicius; Robertas Damasevicius; Rytis Maskeliunas (Appl. Artif. Intell., 2022)

Autoencoder as Feature Extraction Technique for Financial Distress Classification. - Dovile Kuiziniene; Paulius Savickas; Tomas Krilavicius (ICIST, 2023)

A comparative study of feature selection and feature extraction methods for financial distress identification. - Dovile Kuiziniene; Paulius Savickas; Rimante Kunickaite; Ruta Juozaitiene; Robertas Damasevicius; Rytis Maskeliunas; Tomas Krilavicius (PeerJ Comput. Sci., 2024)