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Naumov Aleksandr Vladimirovich
Naumov Aleksandr Vladimirovich
NRC "Kurchatov Institute"
Verified email at nrcki.ru
Title
Cited by
Cited by
Year
On increasing the productive time of drilling oil and gas wells using machine learning methods
AN Dmitrievsky, AG Sboev, NA Eremin, AD Chernikov, AV Naumov, ...
Georesursy= Georesources 22 (4), 79-85, 2020
272020
Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models
A Sboev, S Sboeva, I Moloshnikov, A Gryaznov, R Rybka, A Naumov, ...
Applied Sciences 12 (1), 491, 2022
92022
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
A Sboev, S Sboeva, I Moloshnikov, A Gryaznov, R Rybka, A Naumov, ...
arXiv preprint arXiv:2105.00059, 2021
92021
Data-Driven Model for Emotion Detection in Russian Texts
A Sboev, A Naumov, R Rybka
Procedia Computer Science 190, 637-642, 2021
82021
Об увеличении продуктивного времени бурения нефтегазовых скважин с использованием методов машинного обучения
АН Дмитриевский, АГ Сбоев, НА Еремин, АД Черников, АВ Наумов, ...
Георесурсы 22 (4), 79-85, 2020
72020
Baseline accuracy of forecasting COVID-19 cases in Moscow region on a year in retrospect using basic statistical and machine learning methods
AG Sboev, NA Kudryshov, IA Moloshnikov, AV Serenko, AV Naumov, ...
Journal of Physics: Conference Series 2036 (1), 012029, 2021
52021
Neural-network Method for Determining Text Author’s Sentiment to an Aspect Specified by the Named Entity
A Naumov, R Rybka, A Sboev, A Selivanov, A Gryaznov
18th Russian Conference on Artificial Intelligence (RCAI 2020), 134-143, 2020
52020
The Russian language corpus and a neural network to analyse Internet tweet reports about Covid-19
A Sboev, I Moloshnikov, A Naumov, A Levochkina, R Rybka
PoS, vol. DLCP2021, 017, 2021
42021
Baseline Accuracies of Forecasting COVID-19 Cases in Russian Regions on a Year in Retrospect Using Basic Statistical and Machine Learning Methods
AV Naumov, IA Moloshnikov, AV Serenko, AG Sboev, RB Rybka
Procedia Computer Science 193, 276-284, 2021
42021
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
A Sboev, R Rybka, A Selivanov, I Moloshnikov, A Gryaznov, A Naumov, ...
Mathematics 11 (2), 354, 2023
32023
A probabilistically entropic mechanism of topical clusterisation along with thematic annotation for evolution analysis of meaningful social information of internet sources
DV Gydovskikh, IA Moloshnikov, AV Naumov, RB Rybka, AG Sboev, ...
Lobachevskii Journal of Mathematics 38, 910-913, 2017
32017
Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia
AG Sboev, NA Kudryshov, IA Moloshnikov, SV Zavertyaev, AV Naumov, ...
arXiv preprint arXiv:2207.07689, 2022
22022
Комплексный инструмент для автоматизированного тонально-эмотивного анализа тематических текстов
АВ Наумов, АА Селиванов, ИА Молошников, АГ Сбоев
Вестник НИЯУ МИФИ 9 (3), 279-288, 2023
12023
On the accuracy of Covid-19 forecasting methods in Russia for two years
IA Moloshnikov, AG Sboev, AV Naumov, SV Zavertyaev, RB Rybka
Procedia Computer Science 213, 428-434, 2022
12022
Sentiment Analysis of Russian Reviews to Estimate the Usefulness of Drugs Using the Domain-Specific XLM-RoBERTa Model
A Sboev, A Naumov, I Moloshnikov, R Rybka
Biologically Inspired Cognitive Architectures Meeting, 447-456, 2021
12021
ИНТЕРПРЕТАЦИЯ РЕЗУЛЬТАТОВ МОДЕЛИ ОПРЕДЕЛЕНИЯ ТИПА ИМИТАЦИИ ВОЗРАСТА В ТЕКСТЕ
АГ Сбоев, ИА Молошников, РБ Рыбка, АВ Наумов
Вестник Национального исследовательского ядерного университета МИФИ 9 (2 …, 2020
12020
Named Entity-Oriented Sentiment Analysis with text2text Generation Approach
I Moloshnikov, M Skorokhodov, A Naumov, R Rybka, A Sboev
Proceedings of the International Conference “Dialogue 2023, 2023
2023
An Accuracy Comparison of the Joint and Sequential Approaches for End-to-End Related Named Entities Extraction in the Texts of Russian-Language Reviews Based on Neural Networks
S Alexander, R Rybka, A Naumov, A Selivanov, A Gryaznov, ...
2023
Accuracy of COVID-19 evolution models for different forecast horizons
S Zavertyaev, I Moloshnikov, A Naumov, R Rybka, A Sboev
The 6th International Workshop on Deep Learning in Computational Physics, 25, 2022
2022
СРАВНЕНИЕ ТОЧНОСТЕЙ МЕТОДОВ НА ОСНОВЕ ЯЗЫКОВЫХ И ГРАФОВЫХ НЕЙРОСЕТЕВЫХ МОДЕЛЕЙ ДЛЯ ОПРЕДЕЛЕНИЯ ПРИЗНАКОВ АВТОРСКОГО ПРОФИЛЯ ПО ТЕКСТАМ НА РУССКОМ ЯЗЫКЕ
АГ СБОЕВ, РБ РЫБКА, ИА МОЛОШНИКОВ, АВ НАУМОВ, ...
ВЕСТНИК НАЦИОНАЛЬНОГО ИССЛЕДОВАТЕЛЬСКОГО ЯДЕРНОГО УНИВЕРСИТЕТА МИФИ 10 (6 …, 2021
2021
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