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  1. 1.Predictive Risk Management in the Supply Chain

    KAHYA, Ibrahim - HUSCHBECK, Torsten - MARKOVIČ, Peter. Predictive Risk Management in the Supply Chain. - Registrovaný: Scopus. In Developments in Information and Knowledge Management Systems for Business Applications. - Cham : Springer Nature Switzerland, 2025. ISBN 978-3-031-80935-4. ISSN 2198-4190 (Electronic), pp. 41-57.
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  2. 2.Bankruptcy and Bonity Models Use for the Prediction of the Mining Organization Development

    ČULKOVÁ, Katarína et al. Bankruptcy and Bonity Models Use for the Prediction of the Mining Organization Development. - Registrovaný: Web of Science, Registrovaný: Scopus. In Acta Montanistica Slovaca. - Košice : Technical University of Košice. ISSN 1335-1788, 2024, vol. 9, no. 1, pp. 193-202. VEGA 1/0430/22, KEGA 013 TUKE-4/2023, ITMS 3131011T564, ITMS 313011T567.
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  3. 3.Exploratívna analýza odchodovosti zákazníkov: Využitie vizualizačných nástrojov v Pythone

    BOGÁR, Michal. Exploratívna analýza odchodovosti zákazníkov: Využitie vizualizačných nástrojov v Pythone. In Ekonomika a informatika : vedecký časopis FHI EU v Bratislave a SSHI. - Bratislava : Ekonomická univerzita v Bratislave, 2024. ISSN 1339-987X, 2024, roč. 22, č. 2, s. 4-17. VEGA 1/0047/23.
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  4. 4.Internal and External Dimensions in an Integrated Foresight Research on the Sustainable Pathways in V4 Countries

    MARTON, Andras et al. Internal and External Dimensions in an Integrated Foresight Research on the Sustainable Pathways in V4 Countries. In Annual International Symposium on Foresight. Abstracts : 10th Annual International Symposium on Foresight : 29-31 July & 1 August 2024, Athens, Greece. - Athens : Athens Institute for Education and Research, 2024. ISBN 978-960-598-660-5, pp. 45-46.
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  5. 5.Economic Implications of Deep Machine Learning for Tourism Time Series Forecast

    PETROVA VASENSKA, Ivanka. Economic Implications of Deep Machine Learning for Tourism Time Series Forecast. In Ekonomicko-manažérske spektrum. - Žilina : Žilinská univerzita v Žiline, 2024. ISSN 2585-7258, 2024, vol. 18, no. 1, pp. 90-101.
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  6. 6.Bankruptcy Prediction in the Slovak Business Environment Using Financial and Non-Financial Indicators With SMOTE

    VOJTASOVÁ, Mária. Bankruptcy Prediction in the Slovak Business Environment Using Financial and Non-Financial Indicators With SMOTE. In QUAERE 2024. Interdisciplinární mezinárodní vědecká konference doktorandů a odborných asistentů. QUAERE 2024 : recenzovaný sborník příspěvků interdisciplinární mezinárodní vědecké konference doktorandů a odborných asistentů, 24. - 26. června 2024, Hradec Králové, Česká republika. - Hradec Králové : MAGNANIMITAS, 2024. ISBN 978-80-87952-40-5, pp. 74-81. VEGA 1/0639/21, EU COST Action CA19130 Fintech and AI in Finance.
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  7. 7.Random vs. SMOTE Oversampling: Which Enhances Bankruptcy Prediction More?

    VOJTASOVÁ, Mária. Random vs. SMOTE Oversampling: Which Enhances Bankruptcy Prediction More? In ICFAR 2024. International Conference on Frontiers in Academic Research. Proceeding Book of 3rd ICFAR 2024 : Proceeding Book of 3rd International Conference on Frontiers in Academic Research ICFAR 2024. - Konya : All Sciences Academy, 2024. ISBN 978-625-6314-16-0, pp. 861-867. VEGA 1/0639/21.
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  8. 8.Application of Artificial Intelligence in Logistics 4.0: DHL Case Study Analysis

    BOOROVÁ, Brigita et al. Application of Artificial Intelligence in Logistics 4.0: DHL Case Study Analysis. In Economics of Enterprise. - Beograd : Savez ekonomista Srbije. ISSN 0353-443X, 2024, vol. 72, br. 5-6, str. 292-304.
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  9. 9.Impact of Foreign Ownership on Bankruptcy Prediction in the Slovak Business Environment

    VOJTASOVÁ, Mária. Impact of Foreign Ownership on Bankruptcy Prediction in the Slovak Business Environment. In Ekonomické, politické a právne otázky medzinárodných vzťahov 2024. Medzinárodná vedecká konferencia. Ekonomické, politické a právne otázky medzinárodných vzťahov 2024 : zborník z medzinárodnej vedeckej konferencie konanej 31. mája a 1. júna 2024. - Bratislava : Vydavateľstvo EKONÓM, 2024. ISBN 978-80-225-5150-2. ISSN 2585-9404, s. 263-273. VEGA 1/0639/21, COST Action CA19130.
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  10. 10.Constructing Prediction Regions for Exchange Rate Path Forecasts: The Potential of Calibration

    FIŠERA, Boris - OSTRIHOŇ, Filip. Constructing Prediction Regions for Exchange Rate Path Forecasts: The Potential of Calibration. In Finance a úvěr : Czech Journal of Economics and Finance. - Praha : UK Praha, Fakulta sociálních věd, 2024. ISSN 2464-7683, 2024, vol. 74, no. 4, pp. 432-472.
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