Machine learning and data balancing methods for bankruptcy prediction
Year of publication: |
2023
|
---|---|
Authors: | Liashenko, Olena ; Kravets, Tetyana ; Kostovetskyi, Yevhenii |
Published in: |
Mokslo darbai / Vilniaus Universitetas. - Vilnius : [Verlag nicht ermittelbar], ISSN 1392-1258, ZDB-ID 2810340-3. - Vol. 102.2023, 2, p. 28-46
|
Subject: | bankruptcy | bankruptcy forecasting | machine learning | data balancing | binary classification | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Insolvenz | Insolvency |
-
Aranha, Meera, (2023)
-
Is artificial intelligence really more accurate in predicting bankruptcy?
Letkovský, Stanislav, (2023)
-
Machine learning for zombie hunting : firms' failures and financial constraints
Bargagli-Stoffi, Falco J., (2020)
- More ...
-
Volatility modeling for currency pairs and stock indices by means of complex networks
Liashenko, Olena, (2020)
-
Taxation modelling considering technical progress
Kravets, Tetyana, (2010)
- More ...