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Artem Gryaznov
Artem Gryaznov
НИЦ "Курчатовский институт"
Verified email at nrcki.ru - Homepage
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
Extraction of the relations among significant pharmacological entities in Russian-language reviews of internet users on medications
A Sboev, A Selivanov, I Moloshnikov, R Rybka, A Gryaznov, S Sboeva, ...
Big Data and Cognitive Computing 6 (1), 10, 2022
62022
A neural network algorithm for extracting pharmacological information from russian-language internet reviews on drugs
AG Sboev, SG Sboeva, AV Gryaznov, AV Evteeva, RB Rybka, MS Silin
Journal of Physics: Conference Series 1686 (1), 012037, 2020
62020
Deep neural networks ensemble with word vector representation models to resolve coreference resolution in russian
A Sboev, R Rybka, A Gryaznov
Advanced Technologies in Robotics and Intelligent Systems: Proceedings of …, 2020
62020
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
CEUR Workshop Proceedings, 134-143, 2020
52020
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
An environment emulator for training a neural network model to solve the “Following the leader” task
A Selivanov, R Rybka, A Gryaznov, V Shein, A Sboev
Procedia Computer Science 213, 209-216, 2022
32022
Influence of the duration of training a deep neural network model on the quality of text summarization task
A Gryaznov, R Rybka, I Moloshnikov, A Selivanov, A Sboev
AIP Conference Proceedings 2849 (1), 2023
22023
Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users
A Sboev, R Rybka, A Gryaznov, I Moloshnikov, S Sboeva, G Rylkov, ...
Big Data and Cognitive Computing 6 (4), 145, 2022
22022
Relation Extraction from Texts Containing Pharmacologically Significant Information on base of Multilingual Language Models [in press]
A Selivanov, A Gryaznov, R Rybka, A Sboev, S Sboeva, Y Klyueva
Proceedings of the 6th International Workshop on Deep Learning in …, 2022
22022
Data-driven model for identifying related pharmaceutically-significant entities in clinical texts
A Sboev, G Rylkov, R Rybka, A Gryaznov, S Sboeva
AIP Conference Proceedings 2425 (1), 340003, 2022
12022
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
Extraction of the Relations between Significant Pharmacological Entities in Russian-Language Internet Reviews on Medications
A Sboev, A Selivanov, I Moloshnikov, R Rybka, A Gryaznov, S Sboeva, ...
Preprints, 2021
2021
Neural network algorithm for allocating valuable information from texts of Russian-language reviews on medicines
SG Sboeva, AG Sboev, AV Gryaznov, AV Evteeva
VI International conference «Laser, plasma research and technologies–LaPlaz …, 2020
2020
Selecting an effective neural network method for headline generation
IA Moloshnikov, AV Gryaznov, DS Vlasov, AG Sboev
VI International conference «Laser, plasma research and technologies–LaPlaz …, 2020
2020
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