Formálne jazyky a automaty
Book
MembersA Deep Ensemble Learning Approach for Imbalanced Data in Bankruptcy Prediction An experimental survey of imbalanced learning algorithms for bankruptcy prediction Leveraging large language models for cultural heritage digitization: a textual analysis of historical buildings Clash of titans on imbalanced data: TabNet vs XGBoost Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm
Ing. Peter Gnip, PhD.
Peter Gnip received his M.Sc. and Ph.D. degrees in Informatics from the Technical University of Kosice, Slovakia, in 2018 and 2021, respectively. Actually, he is an assistant professor at the Department of Computers and Informatics, Technical University of Kosice. His research focuses on applying machine learning approaches to strongly imbalanced data.
Research interests
- Bankruptcy prediction, decision support for digital business
- Imbalanced learning
Publications
12 publications · 2018–2026
2026
12025
3Conference2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics Cifer 2025.
JournalArtificial Intelligence Review
ConferenceIEEE 31st ICE IEEE/ITMC Conference on Engineering, Technology, and Innovation ICE 2025
2024
1Conference2024 IEEE Conference on Artificial Intelligence.
2023
1JournalPeerJ. Computer science.