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Pavel D. Drobintsev
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2020 – today
- 2021
- [c5]Lev V. Utkin, Pavel D. Drobintsev, Maxim Kovalev
, Andrei V. Konstantinov
Combining an Autoencoder and a Variational Autoencoder for Explaining the Machine Learning Model Predictions. FRUCT 2021: 489-494 - 2020
- [c4]Moath Al Ali
Joint Slot Filling and Intent Detection in Spoken Language Understanding by Hybrid CNN-LSTM Model. CCRIS 2020: 112-117
2010 – 2019
- 2019
- [j6]Petar Kochovski, Sandi Gec, Vlado Stankovski
Trust management in a blockchain based fog computing platform with trustless smart oracles. Future Gener. Comput. Syst. 101: 747-759 (2019) - [j5]Petar Kochovski, Pavel D. Drobintsev, Vlado Stankovski
Formal Quality of Service assurances, ranking and verification of cloud deployment options with a probabilistic model checking method. Inf. Softw. Technol. 109: 14-25 (2019) - [c3]Petar Kochovski, Rizos Sakellariou
An Architecture and Stochastic Method for Database Container Placement in the Edge-Fog-Cloud Continuum. IPDPS 2019: 396-405 - 2017
- [c2]Nikita Voinov
Distributed OAIS-Based digital preservation system with HDFS technology. FRUCT 2017: 491-497 - [c1]Igor Chernorutskiy, Pavel D. Drobintsev, Vsevolod Kotlyarov, Nikita Voinov
A New Approach to Generation and Analysis of Gradient Methods Based on Relaxation Function. UKSim 2017: 83-88 - 2016
- [j4]Pavel D. Drobintsev, Vsevolod Kotlyarov, I. V. Nikiforov, Alexander A. Letichevsky:
Incremental approach to the technology of test design for industrial projects. Autom. Control. Comput. Sci. 50(7): 486-492 (2016) - 2015
- [j3]Pavel D. Drobintsev, Vsevolod Kotlyarov, I. V. Nikiforov, Alexander A. Letichevsky, Volodymyr Peschanenko
Approach to behavior scenarios debugging. Autom. Control. Comput. Sci. 49(7): 430-436 (2015) - 2014
- [j2]Pavel D. Drobintsev, Vsevolod Kotlyarov, Alexander A. Letichevsky:
A formal approach to test scenarios generation based on guides. Autom. Control. Comput. Sci. 48(7): 415-423 (2014) - 2013
- [j1]Alexander Kolchin
An approach to creating concretized test scenarios within test automation technology for industrial software projects. Autom. Control. Comput. Sci. 47(7): 433-442 (2013)
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