Single-Class Bankruptcy Prediction Based on the Data from Annual Reports. - Peter Drotár; Peter Gnip; Martin Zoricak; Vladimír Gazda (IDEAL (1), 2018)

Stability analysis of WkNN feature selection. - Peter Bugata; Peter Gnip; Peter Drotár (SACI, 2019)

Ensemble methods for strongly imbalanced data: bankruptcy prediction. - Peter Gnip; Peter Drotár (SISY, 2019)

Selective oversampling approach for strongly imbalanced data. - Peter Gnip; Liberios Vokorokos; Peter Drotár (PeerJ Comput. Sci., 2021)

Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm. - Róbert Kanász; Peter Gnip; Martin Zoricak; Peter Drotár (PeerJ Comput. Sci., 2023)

A Deep Ensemble Learning Approach for Imbalanced Data in Bankruptcy Prediction. - Peter Gnip; Peter Drotár; Róbert Kanász; Martin Zoricak (CIFEr, 2025)

An experimental survey of imbalanced learning algorithms for bankruptcy prediction. - Peter Gnip; Róbert Kanász; Martin Zoricak; Peter Drotár (Artif. Intell. Rev., 2025)