Performance Analysis of SMOTE-based Oversampling Techniques When Dealing with Data Imbalance. - Drazen Bajer; Bruno Zonc; Mario Dudjak; Goran Martinovic (IWSSIP, 2019)

An API-first methodology for designing a microservice-based Backend as a Service platform. - Mario Dudjak; Goran Martinovic (Inf. Technol. Control., 2020)

An empirical study of data intrinsic characteristics that make learning from imbalanced data difficult. - Mario Dudjak; Goran Martinovic (Expert Syst. Appl., 2021)

SMOTE Inspired Extension for Differential Evolution. - Drazen Bajer; Bruno Zoric; Mario Dudjak (BIOMA, 2022)

Učenje iz neuravnoteženih podataka unaprijeđenim postupcima za odabir značajki, preuzorkovanje i izgradnju radijalnih neuronskih mreža ; Learning from unbalanced data improved procedures for feature selection, resampling and construction of radial neural networks. - Mario Dudjak (2022)