Systematic review of financial distress identification using artificial intelligence methods

D Kuizinienė, T Krilavičius… - Applied Artificial …, 2022 - Taylor & Francis
The study presents a systematic review of 232 studies on various aspects of the use of
artificial intelligence methods for identification of financial distress (such as bankruptcy or …

Selected methods of predicting financial health of companies: neural networks versus discriminant analysis

J Horváthová, M Mokrišová, I Petruška - Information, 2021 - mdpi.com
This paper focuses on the financial health prediction of businesses. The issue of predicting
the financial health of companies is very important in terms of their sustainability. The aim of …

A comparative study of feature selection and feature extraction methods for financial distress identification

D Kuizinienė, P Savickas, R Kunickaitė… - PeerJ Computer …, 2024 - peerj.com
Financial distress identification remains an essential topic in the scientific literature due to its
importance for society and the economy. The advancements in information technology and …

[PDF][PDF] Financial analysis and competitiveness of public universities of Slovakia in the context of financial management

S Jenčová, P Vašaničová, R Štefko… - Polish Journal of …, 2021 - bibliotekanauki.pl
The aim of the paper is to apply methods in the financial management of public decision-
making units in the educational services industry in Slovakia that is represented as NACE …

Autoencoder as Feature Extraction Technique for Financial Distress Classification

D Kuizinienė, P Savickas, T Krilavičius - International Conference on …, 2023 - Springer
Financial statements are typical financial distress identification data for the enterprise.
However, nowadays, the valuable data source characterizing enterprise could be expanded …