Peter Gnip, Peter Drotár, Róbert Kanász, Martin Zoricak. A Deep Ensemble Learning Approach for Imbalanced Data in Bankruptcy Prediction. In IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, CiFer 2025, Trondheim, Norway, March 17-20, 2025. pages 1-7, IEEE, 2025. [doi]
@inproceedings{GnipDKZ25,
title = {A Deep Ensemble Learning Approach for Imbalanced Data in Bankruptcy Prediction},
author = {Peter Gnip and Peter Drotár and Róbert Kanász and Martin Zoricak},
year = {2025},
doi = {10.1109/CiFer64978.2025.10975738},
url = {https://doi.org/10.1109/CiFer64978.2025.10975738},
researchr = {https://researchr.org/publication/GnipDKZ25},
cites = {0},
citedby = {0},
pages = {1-7},
booktitle = {IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, CiFer 2025, Trondheim, Norway, March 17-20, 2025},
publisher = {IEEE},
isbn = {979-8-3315-0831-9},
}