Subbotina M., Voskresenskiy A., Bukhanov N.V. Interpretability of geological relationships within fluid flow simulations. 2nd EAGE Digitalization Conference and Exhibition. 2022. pp. 1-6.
Voskresenskiy A. Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering. arxiv. 2022. pp. 1-45.
Voskresenskiy A., Bukhanov N.V., Kuntsevich M., Popova O., Goncharov A.S. Rock Type Classification Models Interpretability Using Shapley Values. Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference, ADIP 2021. 2021. pp. 1-5.
Deeva I., Bubnova A., Andriushchenko P.D., Voskresenskiy A., Bukhanov N.V., Nikitin N.O., Kalyuzhnaya A.V. Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12742. pp. 394-407.
Generative design of Bayesian networks in petroleum industry
Voskresenskiy A., Bukhanov N.V., Filippova Z., Brandao R., Segura V., Brazil E. Feature Selection for Reservoir Analogues Similarity Ranking As Model-Based Causal Inference. 17th European Conference on the Mathematics of Oil Recovery, ECMOR 2020. 2020. pp. 1-9.
Voskresenskiy A., Butorina M., Popova O., Bukhanov N., Filippova Z., Brandao R., Segura V., Vital Brazil E. Variations in ranked list of reservoir analogs as an effect of search preferences. Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources. 2020.
Андрющенко П.Д., Деева И.Ю., Калюжная А.В., Бубнова А.В., Воскресенский А.Г., Буханов Н.В. Анализ параметров нефтегазовых месторождений с использованием байесовских сетей [Analysis of parameters of oil and gas fields using Bayesian networks]. Интеллектуальный анализ данных в нефтегазовой отрасли: сборник тезисов конференции [Data Science in Oil and Gas 2020]. 2020. С. 1-10.