Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Pavel Drobintsev"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 488-494 (2021)
A method for explaining a deep learning model prediction is proposed. It uses a combination of the standard autoencoder and the variational autoencoder. The standard autoencoder is exploited to reconstruct original images and to produce hidden repres
Externí odkaz:
https://doaj.org/article/e9362a7325604853b78c9e19a4292cc9
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 776, Iss 20, Pp 491-497 (2017)
The paper describes architecture of a distributed OAIS-based digital preservation system which uses HDFS as a file storage system and supports wide distribution on a number of cluster's nodes. It is based on Apache Hadoop framework - a reliable open
Externí odkaz:
https://doaj.org/article/333205cf53874b83a2d941f5fca8c9dc
Autor:
Jurij Morozov, Sergei Saradgishvili, Polina Tumanyan, Nikita Voinov, Pavel Drobintsev, Jian Wu
Publikováno v:
Advanced Manufacturing and Automation XII ISBN: 9789811993374
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b3b4962ab642d9c9e8489d4f753269e
https://doi.org/10.1007/978-981-19-9338-1_72
https://doi.org/10.1007/978-981-19-9338-1_72
Publikováno v:
Information and Control Systems. :17-27
Introduction: An important stage in a software development life cycle is the support phase, when customers can contact the support service of the supplier company and request a solution to an issue encountered in the software. To solve the request, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbba433f64943380eb4c9adb80397f0e
https://doi.org/10.31799/1684-8853-2021-1-17-27
https://doi.org/10.31799/1684-8853-2021-1-17-27
Publikováno v:
Procedia Computer Science. 193:464-473
This paper is devoted to the practical application of parallel sorting algorithms and parallel input-output methods for the problem of genome alignment. The paper considers different approaches to the implementation of such algorithms, taking into ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b9270280a3f7e5c659cf3248f8bd5a9
https://doi.org/10.1016/j.procs.2021.10.048
https://doi.org/10.1016/j.procs.2021.10.048
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811905711
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06dbc69c7fce7a2bb1aec55165d55315
https://doi.org/10.1007/978-981-19-0572-8_57
https://doi.org/10.1007/978-981-19-0572-8_57
Publikováno v:
Information and Software Technology
Context: Existing software workbenches allow for the deployment of cloudapplications across a variety of Infrastructure-as-a Service (IaaS) providers. The expected workload, Quality of Service (QoS) and Non-Functional Requirements (NFRs) must be cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1332c83c579e16868bdc4226803765d1
https://doi.org/10.1016/j.infsof.2019.01.003
https://doi.org/10.1016/j.infsof.2019.01.003
Autor:
Igor V. Zajtsev, Sergey A. Molodyakov, Maksim K. Voroshilov, Oleg V. Prokofiev, Nikita Voinov, Pavel Drobintsev
Publikováno v:
2021 XXIV International Conference on Soft Computing and Measurements (SCM).
The results of the approach to predicting RTS index futures based on linear and polynomial regression are presented. Two modifications of the proposed algorithm are described. Based on the analysis of the obtained results some recommendations and con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1a6c99745a27e5de74bd4a9782bb9a1
https://doi.org/10.1109/scm52931.2021.9507184
https://doi.org/10.1109/scm52931.2021.9507184
Publikováno v:
FRUCT
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 488-494 (2021)
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 488-494 (2021)
A method for explaining a deep learning model prediction is proposed. It uses a combination of the standard autoencoder and the variational autoencoder. The standard autoencoder is exploited to reconstruct original images and to produce hidden repres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::521e27ebcfc615cba6705baadd52bff2
https://doi.org/10.23919/fruct50888.2021.9347612
https://doi.org/10.23919/fruct50888.2021.9347612
Publikováno v:
Proceedings of International Scientific Conference on Telecommunications, Computing and Control ISBN: 9789813366312
Users of the services can interact with the application using a browser or using mobile devices. The most popular mobile platforms today are iOS and Android. Development of any service includes backend (application logic, database) and frontend (inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8d6ec6bfd6083733309dfd245101112
https://doi.org/10.1007/978-981-33-6632-9_6
https://doi.org/10.1007/978-981-33-6632-9_6