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  1. 1.Fundamental Systems of Solutions of Some Linear Differential Equations of Higher Order

    FECENKO, Jozef. Fundamental Systems of Solutions of Some Linear Differential Equations of Higher Order. - Registrovaný: Scopus, Registrovaný: Web of Science. In Mathematica Slovaca. - Bratislava : Slovak Academy of Sciences. ISSN 1337-2211, 2025, vol. 75, no. 1, pp. 55-68.
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  2. 2.On the Linear (In)dependence of Sequences of Derivatives of the Functions x^n\sin x and x^n\cos x

    FECENKO, Jozef - DIEKEMA, Enno. On the Linear (In)dependence of Sequences of Derivatives of the Functions x^n\sin x and x^n\cos x. In arxiv.org. - New York : Cornell University, 2024, 24.1.2024, pp. 1-31.
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  3. 3.Optimizing Inventory Classification: a Multi-criteria Approach Based on Ordinal Sums of Conjunctive and Disjunctive Functions

    ANĐELIĆ, Ognjen et al. Optimizing Inventory Classification: a Multi-criteria Approach Based on Ordinal Sums of Conjunctive and Disjunctive Functions. In SYM-OP-IS 2024. Symposium. SYM-OP-IS 2024 : Conference Proceedings : 51st Symposium on Operational Research : Tara, 16-19.9.2024. - Novi Sad : Faculty of Technical Sciences, 2024. ISBN 978-86-6022-703-6, pp. 271-277. 337-003/2024-05/18, APVV SK-SRB-23-0007.
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  4. 4.Note on Fundamental System of Solutions to the Differential Equations (D2 − 2Dα + α2 ± β2) y = 0

    FECENKO, Jozef - CHALMOVIANSKÁ, Jana. Note on Fundamental System of Solutions to the Differential Equations (D2 − 2Dα + α2 ± β2) y = 0. - Registrovaný: Scopus, Registrovaný: Web of Science. In Mathematica Slovaca. - Bratislava : Slovak Academy of Sciences. ISSN 1337-2211, 2024, vol. 74, no. 6, pp. 1423-1432.
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  5. 5.Hodnotenie a odporúčanie výrobkov pomocou flexibilných funkcií zhody a agregačných funkcií

    BARČÁKOVÁ, Nina. Hodnotenie a odporúčanie výrobkov pomocou flexibilných funkcií zhody a agregačných funkcií. In MLADÁ VEDA AIESA 2023 : participácia doktorandov a mladých vedeckých pracovníkov na budovaní spoločnosti založenej na vedomostiach. Medzinárodná vedecká konferencia. „MLADÁ VEDA AIESA 2023“ : „participácia doktorandov a mladých vedeckých pracovníkov na budovaní spoločnosti založenej na vedomostiach“ organizovanej pod záštitou dekana Fakulty hospodárskej informatiky prof. Mgr. Erika Šoltésa, PhD. - Bratislava : Vydavateľstvo EKONÓM, 2023. ISBN 978-80-225-5102-1, s. 4-13.
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  6. 6.From Linear to Spatial Regression: Parametric versus Nonparametric Functional Form

    KNÍŽAT, Peter - FURKOVÁ, Andrea. From Linear to Spatial Regression: Parametric versus Nonparametric Functional Form. - Registrovaný: Scopus. In SOR ’23. International Symposium on Operational Research in Slovenia. SOR ’23 : Proceedings of the 17h International Symposium on Operational Research in Slovenia, September 20-22 2023, Bled, Slovenia. - Ljubljana : Slovenian Society Informatika, 2023. ISBN 978-961-6165-61-7, pp. 265-269. VEGA 1/0211/21, VEGA 1/0047/23.
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  7. 7.On an Edge Detector Based on Ordinal Sums of Conjunctive and Disjunctive Aggregation Functions

    MUNAR, Marc et al. On an Edge Detector Based on Ordinal Sums of Conjunctive and Disjunctive Aggregation Functions. - Registrovaný: Scopus. In 13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, and 12th International Summer School on Aggregation Operators, AGOP 2023. Fuzzy Logic and Technology, and Aggregation Operators. - Cham : Springer Nature Switzerland AG, 2023. ISBN 978-303139964-0. ISSN 0302-9743, pp. 271 - 282.
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  8. 8.A Note on Aggregation Functions in Classification Based on Ordinal Sums

    HUDEC, Miroslav - MINÁRIKOVÁ, Erika - MESIAR, Radko. A Note on Aggregation Functions in Classification Based on Ordinal Sums. In FSTA 2022. International Conference. Book of Abstracts of The Sixteenth International Conference on Fuzzy Set Theory and Applications : FSTA 2022, Liptovský Ján, Slovakia, January 30 – February 4, 2022. - Ostrava : Ostravská univerzita v Ostravě, 2022. ISBN 978-80-7599-299-4, pp. 35-36 online. VEGA 1/0006/19, SGS No. SP2021/86, KEGA No. 025EU-4/2021.
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  9. 9.Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning

    SARANTI, Anna et al. Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning. - Registrovaný: Web of Science, Registrovaný: Scopus. In Machine Learning and Knowledge Extraction. - Basel : MDPI. ISSN 2504-4990, 2022, vol. 4, no. 4, pp. 924-953. KEGA 025EU-4/2021, P-32554.
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  10. 10.Risk Aggregation Using B11 Copula

    MUCHA, Vladimír - ŠKROVÁNKOVÁ, Lea. Risk Aggregation Using B11 Copula. In Stanovenie kapitálovej požiadavky na krytie vybraných katastrofických rizík v životnom a neživotnom poistení : recenzovaný monografický vedecký zborník vedeckých prác z oblasti katastrofického rizika. - Litomyšl : H.R.G., 2022. ISBN 978-80-7490-283-3, s. 47-56. VEGA 1/0166/20, VEGA 1/0431/22.
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    PDF zabezpečené1.2 MBdostupné po prihlásení
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