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Russia

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Employment (1)

Kurchatov Institute: Moscow, RU

Research Engineer (AI technology lab)
Employment
Source: Self-asserted source
Aleksandr Naumov

Works (9)

Accuracy Analysis of the End-to-End Extraction of Related Named Entities from Russian Drug Review Texts by Modern Approaches Validated on English Biomedical Corpora

Mathematics
2023-01-09 | Journal article
Contributors: Alexander Sboev; Roman Rybka; Anton Selivanov; Ivan Moloshnikov; Artem Gryaznov; Alexander Naumov; Sanna Sboeva; Gleb Rylkov; Soyora Zakirova
Source: check_circle
Crossref

Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models

Applied Sciences
2022-01-04 | Journal article
Contributors: Alexander Sboev; Sanna Sboeva; Ivan Moloshnikov; Artem Gryaznov; Roman Rybka; Alexander Naumov; Anton Selivanov; Gleb Rylkov; Vyacheslav Ilyin
Source: check_circle
Crossref

An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets

arXiv
2021 | Other
EID:

2-s2.0-85107636391

Part of ISSN: 23318422
Contributors: Sboev, A.G.; Sboeva, S.G.; Moloshnikov, I.A.; Gryaznov, A.V.; Rybka, R.B.; Naumov, A.V.; Selivanov, A.A.; Rylkov, G.V.; Ilyin, V.A.
Source: Self-asserted source
Aleksandr Naumov via Scopus - Elsevier

Baseline Accuracies of Forecasting COVID-19 Cases in Russian Regions on a Year in Retrospect Using Basic Statistical and Machine Learning Methods

Procedia Computer Science
2021 | Journal article
Part of ISSN: 1877-0509
Contributors: A.V. Naumov; I.A. Moloshnikov; A.V. Serenko; A.G. Sboev; R.B. Rybka
Source: Self-asserted source
Aleksandr Naumov via Crossref Metadata Search

Baseline accuracy of forecasting COVID-19 cases in Moscow region on a year in retrospect using basic statistical and machine learning methods

Journal of Physics: Conference Series
2021-09-01 | Journal article
Part of ISSN: 1742-6588
Contributors: A G Sboev; N A Kudryshov; I A Moloshnikov; A V Serenko; A V Naumov; R B Rybka
Source: Self-asserted source
Aleksandr Naumov via Crossref Metadata Search

Data-Driven Model for Emotion Detection in Russian Texts

Procedia Computer Science
2020 | Conference paper
EID:

2-s2.0-85112623464

Part of ISSN: 18770509
Contributors: Sboev, A.; Naumov, A.; Rybka, R.
Source: Self-asserted source
Aleksandr Naumov via Scopus - Elsevier

Neural-network method for determining text author's sentiment to an aspect specified by the named entity

CEUR Workshop Proceedings
2020 | Conference paper
EID:

2-s2.0-85092329377

Part of ISSN: 16130073
Contributors: Naumov, A.; Rybka, R.; Sboev, A.; Selivanov, A.; Gryaznov, A.
Source: Self-asserted source
Aleksandr Naumov via Scopus - Elsevier

On increasing the productive time of drilling oil and gas wells using machine learning methods

Georesursy
2020 | Journal article
EID:

2-s2.0-85099342531

Part of ISSN: 16085078 16085043
Contributors: Dmitrievsky, A.N.; Sboev, A.G.; Eremin, N.A.; Chernikov, A.D.; Naumov, A.V.; Gryaznov, A.V.; Moloshnikov, I.A.; Borozdin, S.O.; Safarova, E.A.
Source: Self-asserted source
Aleksandr Naumov via Scopus - Elsevier

A probabilistically entropic mechanism of topical clusterisation along with thematic annotation for evolution analysis of meaningful social information of internet sources

Lobachevskii Journal of Mathematics
2017 | Journal article
EID:

2-s2.0-85029747678

Part of ISSN: 18189962 19950802
Contributors: Gydovskikh, D.V.; Moloshnikov, I.A.; Naumov, A.V.; Rybka, R.B.; Sboev, A.G.; Selivanov, A.A.
Source: Self-asserted source
Aleksandr Naumov via Scopus - Elsevier