An approach to creating concretized test scenarios within test automation technology for industrial software projects. - Alexander Kolchin; Alexander A. Letichevsky; Vladimir S. Peschanenko; Pavel D. Drobintsev; Vsevolod Kotlyarov (Autom. Control. Comput. Sci., 2013)

A formal approach to test scenarios generation based on guides. - Pavel D. Drobintsev; Vsevolod Kotlyarov; Alexander A. Letichevsky (Autom. Control. Comput. Sci., 2014)

Approach to behavior scenarios debugging. - Pavel D. Drobintsev; Vsevolod Kotlyarov; I. V. Nikiforov; Alexander A. Letichevsky; Volodymyr Peschanenko (Autom. Control. Comput. Sci., 2015)

Incremental approach to the technology of test design for industrial projects. - Pavel D. Drobintsev; Vsevolod Kotlyarov; I. V. Nikiforov; Alexander A. Letichevsky (Autom. Control. Comput. Sci., 2016)

Distributed OAIS-Based digital preservation system with HDFS technology. - Nikita Voinov; Pavel D. Drobintsev; Vsevolod Kotlyarov; Igor Nikiforov (FRUCT, 2017)

A New Approach to Generation and Analysis of Gradient Methods Based on Relaxation Function. - Igor Chernorutskiy; Pavel D. Drobintsev; Vsevolod Kotlyarov; Nikita Voinov (UKSim, 2017)

An Architecture and Stochastic Method for Database Container Placement in the Edge-Fog-Cloud Continuum. - Petar Kochovski; Rizos Sakellariou; Marko Bajec; Pavel D. Drobintsev; Vlado Stankovski (IPDPS, 2019)

Trust management in a blockchain based fog computing platform with trustless smart oracles. - Petar Kochovski; Sandi Gec; Vlado Stankovski; Marko Bajec; Pavel D. Drobintsev (Future Gener. Comput. Syst., 2019)

Formal Quality of Service assurances, ranking and verification of cloud deployment options with a probabilistic model checking method. - Petar Kochovski; Pavel D. Drobintsev; Vlado Stankovski (Inf. Softw. Technol., 2019)

Joint Slot Filling and Intent Detection in Spoken Language Understanding by Hybrid CNN-LSTM Model. - Moath Al Ali; Bassel Zaity; Pavel D. Drobintsev; Hazem Wannous; Igor Chernoruckiy; Andrey Filchenkov (CCRIS, 2020)

Combining an Autoencoder and a Variational Autoencoder for Explaining the Machine Learning Model Predictions. - Lev V. Utkin; Pavel D. Drobintsev; Maxim Kovalev; Andrei V. Konstantinov (FRUCT, 2021)