Description:
[1] A. Kiv, V. Soloviev, S. Semerikov, H. Danylchuk, L. Kibalnyk, A. Matviychuk, Experimental economics and machine learning for prediction of emergent economy dynamics, CEUR Workshop Proceedings 2422 (2019) 1–4. URL: http://ceur-ws.org/Vol-2422/paper00.pdf.
[2] A. Kiv, P. Hryhoruk, I. Khvostina, V. Solovieva, V. Soloviev, S. Semerikov, Machine learning of emerging markets in pandemic times, CEUR Workshop Proceedings 2713 (2020) 1–20. URL: http://ceur-ws.org/Vol-2713/paper00.pdf.
[3] H. Y. Kucherova, V. O. Los, D. V. Ocheretin, O. V. Bilska, E. V. Makazan, Innovative behavior of bitcoin market agents during COVID-19: recurrence analysis, CEUR Workshop Proceedings (2021).
[4] H. Kucherova, O. Bilska, L. Serhieieva, Matrix models for assessing the taxation subjects’ interaction under uncertainty of socio-economic processes, CEUR Workshop Proceedings 2422 (2019) 371–384.
[5] H. Kucherova, A. Didenko, O. Kravets, Y. Honcharenko, A. Uchitel, Scenario forecasting information transparency of subjects’ under uncertainty and development of the knowledge economy, CEUR Workshop Proceedings 2713 (2020) 81–106.
[6] H. Kucherova, D. Ocheretin, V. Los, N. Venherska, Risks of the methodology for forecasting the price of bitcoin and the frequency of its online requests in the digitalization of economic systems, CEUR Workshop Proceedings 2732 (2020) 385–400.
[7] D. Ocheretin, V. Los, H. Kucherova, O. Bilska, An alternative approach to modeling the country’s business climate in conditions of limited information, E3S Web of Conferences 166 (2020) 13024. doi: 10.1051/e3sconf/202016613024 .
[8] S. Semerikov, H. Kucherova, V. Los, D. Ocheretin, Neural network analytics and forecasting the country’s business climate in conditions of the coronavirus disease (COVID-19), CEUR Workshop Proceedings 2845 (2021) 22–32. URL: http://ceur-ws.org/Vol-2845/Paper_3.pdf.
[9] V. Los, D. Ocheretin, Prediction of business confidence index based on a system of economic indicators, CEUR Workshop Proceedings 2422 (2019) 237–248.
[10] Y. Makazan, V. Los, Methodical approach to the assessment of human capital level of machine-building enterprises, E3S Web of Conferences 166 (2020) 13012. doi: 10.1051/e3sconf/202016613012 .
[11] N. K. Maksyshko, O. V. Vasylieva, Comparative analysis of the stock quotes dynamics for IT and the entertainment industry companies based on the characteristics of memory depth, CEUR Workshop Proceedings (2021).
[12] N. Maksyshko, O. Vasylieva, Diagnostics of persistence for quotes dynamics in high-tech stock markets, CEUR Workshop Proceedings 2422 (2019) 467–478.
[13] N. Maksyshko, O. Vasylieva, I. Kozin, V. Perepelitsa, Comparative analysis of the attractiveness of investment instruments based on the analysis of market dynamics, CEUR Workshop Proceedings 2713 (2020) 219–238.
[14] N. Maksyshko, O. Vasylieva, A. Polova, Method of investment projects evaluation for territorial communities taking into account the concept of sustainable development, E3S Web of Conferences 166 (2020) 13020. doi: 10.1051/e3sconf/202016613020 .
[15] A. O. Bielinskyi, O. A. Serdyuk, S. O. Semerikov, V. N. Soloviev, Econophysics of cryptocurrency crashes: a systematic review, CEUR Workshop Proceedings (2021).
[16] A. Bielinskyi, A. Matviychuk, O. Serdyuk, S. Semerikov, V. Solovieva, V. Soloviev, Correlational and non-extensive nature of carbon dioxide pricing market, CEUR Workshop Proceedings (2021).
[17] A. E. Kiv, V. N. Soloviev, E. Y. Tarasova, T. I. Koycheva, K. V. Kolesnykova, Analysis and application of semantic networks in education, CEUR Workshop Proceedings (2021).
[18] A. Bielinskyi, V. Soloviev, S. Semerikov, V. Solovieva, Detecting stock crashes using Levy distribution, CEUR Workshop Proceedings 2422 (2019) 420–433. URL: http://ceur-ws.org/Vol-2422/paper34.pdf.
[19] V. Soloviev, O. Serdiuk, S. Semerikov, A. Kiv, Recurrence plot-based analysis of financial-economic crashes, CEUR Workshop Proceedings 2713 (2020) 21–40. URL: http://ceur-ws.org/Vol-2713/paper01.pdf.
[20] V. Soloviev, A. Bielinskyi, O. Serdyuk, V. Solovieva, S. Semerikov, Lyapunov exponents as indicators of the stock market crashes, CEUR Workshop Proceedings 2732 (2020) 455–470. URL: http://ceur-ws.org/Vol-2732/20200455.pdf.
[21] A. Bielinskyi, S. Semerikov, O. Serdyuk, V. Solovieva, V. Soloviev, L. Pichl, Econophysics of sustainability indices, CEUR Workshop Proceedings 2713 (2020) 372–392. URL: http://ceur-ws.org/Vol-2713/paper41.pdf.
[22] V. Derbentsev, S. Semerikov, O. Serdyuk, V. Solovieva, V. Soloviev, Recurrence based entropies for sustainability indices, E3S Web of Conferences 166 (2020) 13031. doi: 10.1051/e3sconf/202016613031 .
[23] I. Khvostina, V. Oliinyk, S. Semerikov, V. Solovieva, V. Yatsenko, O. Kohut-Ferens, Hazards and risks in assessing the impact of oil and gas companies on the environment, IOP Conference Series: Earth and Environmental Science 628 (2021) 012027. doi: 10.1088/1755-1315/628/1/012027 .
[24] A. O. Bielinskyi, I. Khvostina, A. Mamanazarov, A. Matviychuk, S. Semerikov, O. Serdyuk, V. Solovieva, V. N. Soloviev, Predictors of oil shocks. Econophysical approach in environmental science, IOP Conference Series: Earth and Environmental Science 628 (2021) 012019. doi: 10.1088/1755- 1315/628/1/012019 .
[25] P. V. Zahorodko, S. O. Semerikov, V. N. Soloviev, A. M. Striuk, M. I. Striuk, H. M. Shalatska, Comparisons of performance between quantum-enhanced and classical machine learning algorithms on the IBM Quantum Experience, Journal of Physics: Conference Series 1840 (2021) 012021. doi: 10.1088/1742-6596/1840/1/012021 .
[26] A. O. Bielinskyi, V. N. Soloviev, Complex network precursors of crashes and critical events in the cryptocurrency market, CEUR Workshop Proceedings 2292 (2018) 37–45.
[27] A. O. Tarasenko, Y. V. Yakimov, V. N. Soloviev, Convolutional neural networks for image classification, CEUR Workshop Proceedings 2546 (2019) 101–114.
[28] V. N. Soloviev, S. P. Yevtushenko, V. V. Batareyev, Comparative analysis of the cryptocurrency and the stock markets using the Random Matrix Theory, CEUR Workshop Proceedings 2546 (2019) 87–100.
[29] V. Soloviev, A. Bielinskyi, V. Solovieva, Entropy analysis of crisis phenomena for DJIA index, CEUR Workshop Proceedings 2393 (2019) 434–449.
[30] V. Soloviev, N. Moiseienko, O. Tarasova, Modeling of cognitive process using complexity theory methods, CEUR Workshop Proceedings 2393 (2019) 905–918.
[31] V. Soloviev, V. Solovieva, A. Tuliakova, A. Hostryk, L. Pichl, Complex networks theory and precursors of financial crashes, CEUR Workshop Proceedings 2713 (2020) 53–67.
[32] A. Kiv, V. Soloviev, E. Tarasova, T. Koycheva, K. Kolesnykova, Semantic knowledge networks in education, E3S Web of Conferences 166 (2020) 10022. doi: 10.1051/e3sconf/202016610022 .
[33] V. N. Soloviev, A. O. Bielinskyi, N. A. Kharadzjan, Coverage of the coronavirus pandemic through entropy measures, CEUR Workshop Proceedings 2832 (2020) 24–42. URL: http://ceur-ws.org/Vol-2832/paper02.pdf.
[34] A. O. Bielinskyi, S. V. Hushko, A. V. Matviychuk, O. A. Serdyuk, S. O. Semerikov, V. N. Soloviev, Irreversibility of financial time series: a case of crisis, CEUR Workshop Proceedings (2021).
[35] A. Matviychuk, O. Novoseletskyy, S. Vashchaiev, H. Velykoivanenko, I. Zubenko, Fractal analysis of the economic sustainability of industrial enterprise, CEUR Workshop Proceedings 2422 (2019) 455–466.
[36] A. Matviychuk, I. Strelchenko, S. Vashchaiev, H. Velykoivanenko, Simulation of the crisis contagion process between countries with different levels of socio-economic development, CEUR Workshop Proceedings 2393 (2019) 485–496.
[37] V. Derbentsev, A. Matviychuk, N. Datsenko, V. Bezkorovainyi, A. Azaryan, Machine learning approaches for financial time series forecasting, CEUR Workshop Proceedings 2713 (2020) 434–450.
[38] S. M. Ivanov, M. M. Ivanov, Big Data based marketing forecasting, CEUR Workshop Proceedings (2021).
[39] S. Ivanov, Modeling company sales based on the use of SWOT analysis and ishikawa charts, CEUR Workshop Proceedings 2422 (2019) 385–394.
[40] M. Ivanov, Cloud-based digital marketing, CEUR Workshop Proceedings 2422 (2019) 395–404.
[41] M. Ivanov, S. Ivanov, N. Terentieva, V. Maltiz, J. Kalyuzhnaya, Fuzzy modeling in human resource management, E3S Web of Conferences 166 (2020) 13010. doi: 10.1051/e3sconf/202016613010 .
[42] I. I. Chaikovska, P. M. Hryhoruk, M. Y. Chaikovskyi, Fuzzy model for complex risk assessment of an enterprise investment project, CEUR Workshop Proceedings (2021).
[43] P. Hryhoruk, N. Khrushch, S. Grygoruk, Model for assessment of the financial security level of the enterprise based on the desirability scale, CEUR Workshop Proceedings 2422 (2019) 169–180.
[44] P. Hryhoruk, S. Grygoruk, N. Khrushch, T. Hovorushchenko, Using non-metric multidimensional scaling for assessment of regions’ economy in the context of their sustainable development, CEUR Workshop Proceedings 2713 (2020) 315–333.
[45] N. Khrushch, P. Hryhoruk, T. Hovorushchenko, S. Lysenko, L. Prystupa, L. Vahanova, Assessment of bank’s financial security levels based on a comprehensive index using information technology, CEUR Workshop Proceedings 2713 (2020) 239–260.
[46] P. Hryhoruk, N. Khrushch, S. Grygoruk, Assessment model of regions’ economy in the context of their sustainable development, E3S Web of Conferences 166 (2020) 13023. doi: 10.1051/e3sconf/202016613023 .
[47] P. M. Hryhoruk, N. A. Khrushch, S. S. Grygoruk, Modeling structural changes in the regional economic development of Ukraine during the COVID-19 pandemic, CEUR Workshop Proceedings (2021).
[48] V. Stadnyk, P. Izhevskiy, N. Khrushch, S. Lysenko, G. Sokoliuk, T. Tomalja, Strategic priorities of innovation and investment development of the Ukraine’s economy industrial sector, CEUR Workshop Proceedings 2713 (2020) 145–166.
[49] M. V. Shkvaryliuk, L. T. Horal, I. M. Khvostina, N. I. Yashcheritsyna, V. I. Shiyko, The use of genetic algorithms for multicriteria optimization of the oil and gas enterprises financial stability, CEUR Workshop Proceedings (2021).
[50] I. Khvostina, N. Havadzyn, L. Horal, N. Yurchenko, Emergent properties manifestation in the risk assessment of oil and gas companies, CEUR Workshop Proceedings 2422 (2019) 157–168.
[51] L. Horal, I. Khvostina, N. Reznik, V. Shiyko, N. Yashcheritsyna, S. Korol, V. Zaselskiy, Predicting the economic efficiency of the business model of an industrial enterprise using machine learning methods, CEUR Workshop Proceedings 2713 (2020) 334–351.
[52] E. Kryzhanivs’kyi, L. Horal, I. Perevozova, V. Shiyko, N. Mykytiuk, M. Berlous, Fuzzy cluster analysis of indicators for assessing the potential of recreational forest use, CEUR Workshop Proceedings 2713 (2020) 125–144.
[53] M. Havrylenko, V. Shiyko, L. Horal, I. Khvostina, N. Yashcheritsyna, Economic and mathematical modeling of industrial enterprise business model financial efficiency estimation, E3S Web of Conferences 166 (2020) 13025. doi: 10.1051/e3sconf/202016613025 .
[54] I. Khvostina, S. Semerikov, O. Yatsiuk, N. Daliak, O. Romanko, E. Shmeltser, Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy, CEUR Workshop Proceedings 2713 (2020) 41–52. URL: http://ceur-ws.org/Vol-2713/paper02.pdf.
[55] I. Khvostina, V. Oliinyk, V. Yatsenko, L. Mykhailyshyn, U. Berezhnytska, Modeling the optimal management of the distribution of profits of an oil and gas company taking into account risks, CEUR Workshop Proceedings 2713 (2020) 68–80.
[56] H. B. Danylchuk, L. O. Kibalnyk, O. A. Kovtun, O. I. Pursky, Z. Stachowiak, Fuzzy modelling of the country’s migration attractiveness, CEUR Workshop Proceedings (2021).
[57] O. I. Pursky, T. V. Dubovyk, I. O. Buchatska, I. S. Lutsenko, H. B. Danylchuk, Computational method determining integral risk indicators of regional socio-economic development, CEUR Workshop Proceedings (2021).
[58] G. V. Berezhna, O. V. Aleinikova, O. A. Kovtun, H. B. Danylchuk, V. O. Babenko, P. P. Nechypurenko, Training on gender mainstreaming in project management: case of international donor programs and projects for Ukrainian local communities’ development, CEUR Workshop Proceedings (2021).
[59] S. Semerikov, S. Chukharev, S. Sakhno, A. Striuk, V. Osadchyi, V. Solovieva, T. Vakaliuk, P. Nechypurenko, O. Bondarenko, H. Danylchuk, Our sustainable coronavirus future, E3S Web of Conferences 166 (2020) 00001. doi: 10.1051/e3sconf/202016600001 .
[60] H. Danylchuk, L. Kibalnyk, O. Serdiuk, Critical phenomena study in economic systems using a damped oscillations model, CEUR Workshop Proceedings 2422 (2019) 211–225.
[61] H. Danylchuk, O. Ivanylova, L. Kibalnyk, O. Kovtun, T. Melnyk, O. Serdiuk, V. Zaselskiy, Modelling of trade relations between EU countries by the method of minimum spanning trees using different measures of similarity, CEUR Workshop Proceedings 2713 (2020) 167–186.
[62] H. Danylchuk, L. Kibalnyk, O. Kovtun, A. Kiv, O. Pursky, G. Berezhna, Modelling of cryptocurrency market using fractal and entropy analysis in COVID-19, CEUR Workshop Proceedings 2713 (2020) 352–371.
[63] H. Danylchuk, O. Kovtun, L. Kibalnyk, O. Sysoiev, Monitoring and modelling of cryptocurrency trend resistance by recurrent and R/S-analysis, E3S Web of Conferences 166 (2020) 13030. doi: 10.1051/e3sconf/202016613030 .
[64] O. Kovtun, A. Opalenko, O. Ivanylova, Assessment of the economy structural changes based on the consistency, CEUR Workshop Proceedings 2422 (2019) 27–37.
[65] L. O. Kondratenko, H. T. Samoylenko, A. E. Kiv, A. V. Selivanova, O. I. Pursky, T. O. Filimonova, I. O. Buchatska, Computer simulation of processes that influence adolescent learning motivation, CEUR Workshop Proceedings 2879 (2020) 495–506.
[66] O. Pursky, A. Selivanova, T. Dubovyk, T. Herasymchuk, Software implementation of e-trade business process management information system, CEUR Workshop Proceedings 2546 (2019) 171–181.
[67] O. Pursky, T. Dubovyk, I. Moroz, I. Buchatska, A. Savchuk, The price competition simulation at the blended trading market, CEUR Workshop Proceedings 2422 (2019) 15–26.
[68] O. Pursky, T. Dubovyk, I. Gamova, I. Buchatska, Computation algorithm for integral indicator of socio-economic development, CEUR Workshop Proceedings 2393 (2019) 919–934.
[69] O. I. Pursky, T. V. Dubovyk, V. O. Babenko, V. F. Gamaliy, R. A. Rasulov, R. P. Romanenko, Computational method for studying the thermal conductivity of molecular crystals in the course of condensed matter physics, Journal of Physics: Conference Series 1840 (2021) 012015. doi: 10.1088/1742- 6596/1840/1/012015 .
[70] R. V. Ivanov, Y. V. Sherstennikov, V. M. Porokhnya, T. V. Grynko, Modelling the logistics system of an enterprise producing two type of goods, CEUR Workshop Proceedings (2021).