Estimation of Prediction Intervals in Neural Network-Based Regression Models. - Kristian Miok (SYNASC, 2018)

Generating Data using Monte Carlo Dropout. - Kristian Miok; Dong Nguyen Doan; Daniela Zaharie; Marko Robnik-Sikonja (ICCP, 2019)

Prediction Uncertainty Estimation for Hate Speech Classification. - Kristian Miok; Dong Nguyen Doan; Blaz Skrlj; Daniela Zaharie; Marko Robnik-Sikonja (SLSP, 2019)

Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders. - Kristian Miok; Dong Nguyen Doan; Marko Robnik-Sikonja; Daniela Zaharie (CoRR, 2020)

Bayesian Methods for Semi-supervised Text Annotation. - Kristian Miok; Gregor Pirs; Marko Robnik-Sikonja (CoRR, 2020)

To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection. - Kristian Miok; Blaz Skrlj; Daniela Zaharie; Marko Robnik-Sikonja (Cogn. Comput., 2022)

The Value of Numbers in Clinical Text Classification. - Kristian Miok; Padraig Corcoran; Irena Spasic (Mach. Learn. Knowl. Extr., 2023)

Multi-aspect multilingual and cross-lingual parliamentary speech analysis. - Kristian Miok; Encarnacion Hidalgo-Tenorio; Petya Osenova; Miguel-Angel Benitez-Castro; Marko Robnik-Sikonja (Intell. Data Anal., 2024)