Katalóg evidencie publikačnej činnosti PU

ID záznamu:	446976
Kategória:	ADM
Autor:	Horváthová Jarmila (34%)
Autor:	Mokrišová Martina (33%)
Autor:	Petruška Igor (33%)
Názov:	Selected methods of predicting financial health of companies: neural networks versus discriminant analysis [elektronický dokument]
Zdroj:	Information [elektronický dokument]
Lokácia:	Roč. 12, č. 12. - Bazilej : Multidisciplinary Digital Publishing Institute, (2021), s. 1-23
ISSN:	2078-2489
Ohlas:	[1] 0859. SHINKEVICH, A., AKHMETSINA, A.R., KHALILOV, R.R. Development of a methodology for forecasting the sustainable development of industry in Russia based on the tools of factor and discriminant analysis. In Mathematics, ISSN 2227-7390. 859, roč. 10, č. 6, art. no. 859. SCOPUS;WOS:000774165200001.
Ohlas:	[1] 2022. HUDÁKOVÁ STAŠOVÁ, Lenka. Evaluation of the financial health of food retail outlets in a market environment. A case study from the Slovak Republic. In E + M. Ekonomie a management, ISSN 1212-3609. 2022, roč. 25, č. 3, s. 122-141. SCOPUS;WOS:000863216900008.
Ohlas:	[1] 2023. ŠPILER, M., MATEJIC, T., KNEZEVIC, S. et al. Assessment of the bankruptcy risk in the hotel industry as a condition of the Covid-19 crisis using time-delay neural networks. In Sustainability, ISSN 2071-1050. 2023, roč. 15, č. 1, art. no. 272. WOS:000908947400001; SCOPUS.
Ohlas:	[1] 2023. VALASKOVA, K., GAJDOSIKOVA, D., BELAS, J. Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries. In Oeconomia Copernicana, ISSN 2083-1277. 2023, roč. 14, č. 1, s. 253-293. WOS:000973580700007; SCOPUS.
Ohlas:	[1] 2022. MICHALKOVA, L., KOVACOVA, M., CEPEL, M. et al. Insolvency prediction and corporate bankrutpcy model in Visegrad Group countries. In Transformations in business & economics, ISSN 1648-4460. 2022, roč. 21, č. 2, s. 529-548. WOS:000927592100008; SCOPUS.
Ohlas:	[1] 2022. GAVUROVÁ, B., JENČOVÁ, S., BAČIK, R. et al. Artificial intelligence in predicting the bankruptcy of non-financial corporations. In Oeconomia Copernicana, ISSN 2083-1277. 2022, roč. 13, č. 4, s. 1215-1251. WOS:000907675800008; SCOPUS.
Ohlas:	[1] 2023. LETKOVSKÝ, S., JENČOVÁ, S., VAŠANIČOVÁ, P. et al. Predicting bankruptcy using artificial intelligence: the case of the engineering industry. In Economics and sociology, ISSN 2071-789X. 2023, roč. 16, č. 4, s. 178-190. SCOPUS.
Ohlas:	[1] 2023. DURICA, M., MAZANEC, J., FRNDA, J. Neural network modelling of non-prosperity of Slovak companies. In Engineering management in production and services, ISSN 2543-6597. 2023, roč. 15, č. 3, s. 1-13. SCOPUS.
Ohlas:	[1] 2023. GAJDOSIKOVA, D., VALASKOVA, K. Bankruptcy prediction model development and its implications on financial performance in Slovakia. In Economics and culture [online], ISSN 2255-7563. 2023 [cit. 2026-01-14], roč. 20, č. 1, s. 41. SCOPUS. Dostupný na internete <https://reference-global.com/article/10.2478/jec-2023-0003>
Ohlas:	[1] 2025. MAZANEC, J., FILIP, M. Predictive model as screening tool for early warning of corporate insolvency in risk management: case study from Slovak Republic. In Systems [online], ISSN 2079-8954. 2025 [cit. 2026-01-14], roč. 13, č. 11, art. no. 1014. WOS:001624471100001; SCOPUS. Dostupný na internete <https://www.mdpi.com/2079-8954/13/11/1014>
Ohlas:	[1] 2024. PRUSAK, B., KARAS, M. Bankruptcy prediction in Visegrad group countries. In Polish Journal of Management Studies, ISSN 2081-7452. 2024, roč. 30, č. 1, s. 268-288. WOS:001410206000016.
Ohlas:	[1] 2025. KHALDI, M, MANITA, G., CHHABRA, A. et al. Predicting corporate financial failure using sigmoidal opposition — based arithmetic optimization algorithm. In Computational economics, ISSN 0927-7099. 2025, roč. 66, č. 1, s. 517-569. WOS:001319469100001; SCOPUS.
Ohlas:	[1] 2025. GAJDOSIKOVA, D., MICHULEK, J., TULYAKOVA, I. AI-based bankruptcy prediction for agricultural firms in Central and Eastern Europe. In International journal of financial studies, ISSN 2227-7072. 2025, roč. 13, č. 3, art. no. 133. WOS:001580078500001; SCOPUS.
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