Koleva-Petrova, M., Kulina, H., Dobrev, G., Gocheva-Ilieva, S., Ensemble Models for Predicting the Hardness of Alloy Steels, Fourteenth Conference of the Euro-American Consortium for Promoting the Application of Mathematics in Technical and Natural Sciences, Albena, Bulgaria, June 22-27, 2022.
Gocheva-Ilieva, S., Kulina, H., Yordanova, A., Stacking machine learning models using factor analysis to predict the output laser power, International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 16-18 November 2022, Male, Maldives.
Kulina, H., Koleva-Petrova, M., Gocheva-Ilieva, S., Ensemble learning for predicting the tensile strength of alloy steels from chemical composition and processing parameters, International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 16-18 November 2022, Male, Maldives.
Gocheva-Ilieva, S., Kulina, H., Koleva-Petrova, M., Machinability Study of AISI Low Alloy Steels Using Classification and Machine Learning Approaches, (ICMATAP-23), 27 April, Tokyo, Japan.
Kulina, H., Yaneva, P., Gocheva-Ilieva, S., CART Ensemble and Bagging Algorithm for Estimating of Factors Influencing the Furniture Market, International conference on mathematical applications (ICMATAP-23), 27 April, Tokyo, Japan.
Boyoukliev, I., Kulina, H., Gocheva-Ilieva, S., Forecasting Volatility of Bank Deposits of Individuals Using Hybrid Arcing - ARIMA Approach, 6th International Conference on Mathematics and Statistics (ICoMS 2023), 14-16 July, 2023, Leipzig, Germany.
Koleva, S., Gocheva-Ilieva, S., Kulina H., Stochastic modelling of daily air pollution in Burgas, Bulgaria, 15th Conference of the Euro-American Consortium for Promoting the Application of Mathematics in Technical and Natural Sciences (AMiTaNS 2023) 21/06/2023 - 26/06/2023 Black-Sea resort of Albena, Bulgaria.
Yaneva, P., Kulina H. Furniture market demand forecasting using machine learning approaches, 2023, 15th Conference of the Euro-American Consortium for Promoting the Application of Mathematics in Technical and Natural Sciences (AMiTaNS 2023) 21/06/2023 - 26/06/2023 Black-Sea resort of Albena, Bulgaria, J. Phys.: Conf. Ser., Vol. 2675 (1), 012008, ISSN 17426588, https://iopscience.iop.org/article/10.1088/1742-6596/2675/1/012008
Gocheva-Ilieva, S., Machine learning to classify and predict machinability index of AISI low alloy steels based on chemical composition and manufacturing processes, CSCE Annual Conference-Niagara Falls, Ontario, Canada, June 5–7, 2024. https://www.csce2024niagara.ca/
Kulina, H., Yaneva, P., Gocheva-Ilieva, S. Modeling the beer market in a competitive environment with principal component analysis and machine learning techniques: A case study, 2024 7th International Conference on Mathematics and Statistics (ICoMS 2024), Amarante, Portugal, June 23-25, 2024. https://www.icoms.org/
Kiskinov, H., Madamlieva, E., Veselinova, M., Zahariev, A. On variation of constant formulae for linear fractional delayed system with Lebesgue integrable initial conditions. 48th International Conference “Applications of Mathematics in Engineering and Economics”, (AMEE’22), 7–13 June 2022, Sofia, Bulgaria.
Yordanova, А. Predicting vitamin D deficiency in menopausal women using machine learning approach, 2023, 15th Conference of the Euro-American Consortium for Promoting the Application of Mathematics in Technical and Natural Sciences (AMiTaNS 2023) 21/06/2023 - 26/06/2023 Black-Sea resort of Albena, Bulgaria.
Kiskinov, H., Milev, M., Petkova, M., Zahariev, A. Boundedness and different types stability of the solutions of linear fractional systems with distributed delays. 49th International Conference “Applications of Mathematics in Engineering and Economics”, (AMEE’23), 10–16 June 2023, Sofia, Bulgaria.
Gocheva-Ilieva, S., Tengulova, B. (2024). Assessing the effect of COVID-19 on wine tourism using ensemble machine learning: A case of Bulgaria, Научен форум Mediterranean Tourism Knowledge Exchange and Policy Forum 2024, Malta.
Доклад на тема: „Анализ и прогнозиране на замърсяването на въздуха в Бургас“, докладва: Стоянка Колева, редовен докторант към катедра „Математически анализ“, https://www.fmi-plovdiv.org/GetResource?id=4488
Доклад на тема: „Прогнозни модели на търсенето на пазара на мебели“, докладва: Полина Янева, редовен докторант към катедра „Математически анализ“, https://www.fmi-plovdiv.org/GetResource?id=4488
Доклад на тема: „Интелигенти методи в моделирането на финансови пазари“, докладва: Ивайло Боюклиев, редовен докторант към катедра „Математически анализ“, https://www.fmi-plovdiv.org/GetResource?id=4631