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Ermolieva, T., Ermoliev, Y., Komendantova, N. ORCID: https://orcid.org/0000-0003-2568-6179, Norkin, V., Knopov, P. & Gorbachuk, V. (2023). Linking Catastrophe Modeling and Stochastic Optimization Techniques for Integrated Catastrophe Risk Analysis and Management. In: Modern Optimization Methods for Decision Making Under Risk and Uncertainty. Eds. Gaivoronski, A., Knopov, P. & Zaslavskyi, V., pp. 15-50 Taylor & Francis. ISBN 9781003260196 10.1201/9781003260196-2.

Ermolieva, T., Ermoliev, Y., Zagorodny, A., Bogdanov, V., Borodina, O., Havlik, P. ORCID: https://orcid.org/0000-0001-5551-5085, Komendantova, N. ORCID: https://orcid.org/0000-0003-2568-6179, Knopov, P., Gorbacuk, V., Norkin, V. & Zaslavskyi, V. (2022). Artificial Intelligence, Machine Learning, and Intelligent Decision Support Systems: Iterative “Learning” SQG-based procedures for Distributed Models’ Linkage. In: XXII International Scientific and Technical Conference Artificial Intelligence and Intelligent Systems, Kiev, Ukraine.

Haivoronskyy, O.O., Ermoliev, Y., Knopov, P. & Norkin, V. (2015). Mathematical modeling of distributed catastrophic and terrorist risks. Cybernetics and Systems Analysis 51 (1), 85-95. 10.1007/s10559-015-9700-6.

Ermoliev, Y.M. & Norkin, V. (2013). Sample average approximation method for compound stochastic optimization problems. SIAM Journal on Optimization 23 (4), 2231-2263. 10.1137/120863277.