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    2021

  1. ŠULEŘ, Petr, Zuzana ROWLAND and Tomáš KRULICKÝ. Evaluation of the accuracy of machine learning predictions of the Czech Republic´s exports to the China. Journal of Risk and Financial Management. Basel: MDPI, 2021, vol. 14, No 2, p. Nestránkováno, 28 pp. ISSN 1911-8066. doi:10.3390/jrfm14020076.
  2. HORÁK, Jakub. Sanctions as a Catalyst for Russia's and China's Balance of Trade: Business Opportunity. Journal of Risk and Financial Management. Basel: MDPI, 2021, vol. 14, No 1, p. nestránkováno, 26 pp. ISSN 1911-8066. doi:10.3390/jrfm14010036.
  3. ZHURAVKA, Fedir, Hanna FILATOVA, Petr ŠULEŘ and Tomasz WOŁOWIEC. State debt assessment and forecasting: Time series analysis. Investment Management and Financial Innovations. LLC CPC Business Perspectives, 2021, vol. 18, No 1, p. 65-75. ISSN 1810-4967. doi:10.21511/imfi.18(1).2021.06.
  4. WADE, Karen, Jaromír VRBKA, Natalia ZHURAVLEVA and Veronika MACHOVÁ. Sustainable governance networks and urban Internet of Things systems in Big Data-driven smart cities. Geopolitics, History, and International Relations. New York, USA: Addleton Academic Publishers, 2021, vol. 13, No 1, p. 64-74. ISSN 1948-9145.
  5. 2020

  6. VRBKA, Jaromír and Marek VOCHOZKA. Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, France: EDP Sciences, 2020. p. nestránkováno, 12 pp. ISBN 978-2-7598-9094-1.
  7. VRBKA, Jaromír, Petr ŠULEŘ, Veronika MACHOVÁ and Jakub HORÁK. Evaluation of performance of MLP neural networks and RBF neural networks in adjusting time series of the development of the trade balance between the USA and the PRC. Littera Scripta. České Budějovice, Česká republika: Vysoká škola technická a ekonomická, 2020, vol. 13, No 2, p. 23-38. ISSN 1805-9112.
  8. ROUSEK, Pavel. Evaluation of the EU policy concerning the basic economic functions of a modern government in a mixed economy. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, France: EDP Sciences, 2020. p. nestránkováno, 7 pp. ISBN 978-2-7598-9094-1.
  9. VOCHOZKA, Marek and Zuzana ROWLAND. Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, France: EDP Sciences, 2020. p. nestránkováno, 14 pp. ISBN 978-2-7598-9094-1.
  10. HAŠKOVÁ, Simona. Fuzzy approach to short-term youth unemployment forecast. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, France: EDP Sciences, 2020. p. nestránkováno, 9 pp. ISBN 978-2-7598-9094-1.
  11. BRABENEC, Tomáš and Petr ŠULEŘ. Machine learning forecasting of CR and PRC balance of trade. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, France: EDP Sciences, 2020. p. nestránkováno, 16 pp. ISBN 978-2-7598-9094-1.
  12. MACHOVÁ, Veronika and Jan MAREČEK. Machine learning forecasting of CR import from PRC in context of mutual PRC and USA sanctions. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, France: EDP Sciences, 2020. p. nestránkováno, 18 pp. ISBN 978-2-7598-9094-1.
  13. ROWLAND, Zuzana, Jaromír VRBKA and Marek VOCHOZKA. Machine learning forecasting of USA and PRC balance of trade in context of mutual sanctions. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, France: EDP Sciences, 2020. p. nestránkováno, 16 pp. ISBN 978-2-7598-9094-1.
  14. ŠULEŘ, Petr and Jan MAREČEK. Machine prediction of US imports from the PRC in the context of mutual sanctions. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, France: EDP Sciences, 2020. p. nestránkováno, 18 pp. ISBN 978-2-7598-9094-1.
  15. PSÁRSKA, Marianna and Jakub HORÁK. Theoretical and practical view on determinants of education as a productive element of individual and household consumption in the context of future challenges of the Slovak republic. Ad Alta - Journal of Interdisciplinarity Research. Hradec Králové: Magnanimitas, 2020, vol. 10, No 2, p. 269-274. ISSN 1804-7890.
  16. HORÁK, Jakub, Jaromír VRBKA and Tomáš KRULICKÝ. Using RBF neural networks to identify relationship between development of oil prices in world market and value of Chinese currency. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, Francie: EDP Sciences, 2020. p. nestránkováno, 12 pp. ISBN 978-2-7598-9094-1.
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