| 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 | 30 | 2020 |
| 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 | 11 | 2021 |
| 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 | 10 | 2022 |
| Data-Driven Model for Emotion Detection in Russian Texts A Sboev, A Naumov, R Rybka Procedia Computer Science 190, 637-642, 2021 | 10 | 2021 |
| 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 | 8 | 2020 |
| 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 | 5 | 2021 |
| 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 | 5 | 2020 |
| 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 | 4 | 2021 |
| 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 | 3 | 2023 |
| 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 | 3 | 2023 |
| 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 | 3 | 2021 |
| 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 | 3 | 2017 |
| 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 | 2 | 2023 |
| 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 | 2 | 2022 |
| ИСПОЛЬЗОВАНИЕ КРАУДСОРСИНГА ДЛЯ ВАЛИДАЦИИ НЕЙРОСЕТЕВЫХ МОДЕЛЕЙ РЕЗЮМИРОВАНИЯ ТЕКСТОВ НОВОСТЕЙ АГ СБОЕВ, АВ НАУМОВ, РБ РЫБКА, ИА МОЛОШНИКОВ, АВ ГРЯЗНОВ ВЕСТНИК ВОЕННОГО ИННОВАЦИОННОГО ТЕХНОПОЛИСА" ЭРА" 2 (4), 46-52, 2021 | 2* | 2021 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| 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 | 1 | 2020 |
| 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 6th International Workshop on Deep Learning in Computational Physics, 25, 2022 | | 2022 |
Иван Молошников, Ivan MoloshnikovНИЦ "Курчатовский институт"Подтвержден адрес электронной почты в домене nrcki.ru
