Advancing Semantic Classification: A Comprehensive Examination of Machine Learning Techniques in Analyzing Russian-Language Patient Reviews.

Autor: Kalabikhina, Irina¹ (AUTHOR) ikalabikhina@yandex.ru, Moshkin, Vadim² (AUTHOR) v.moshkin@ulstu.ru, Kolotusha, Anton¹ (AUTHOR) german89000@mail.ru, Kashin, Maksim² (AUTHOR) m.kashin@ulstu.ru, Klimenko, German¹ (AUTHOR) kazbekova.zarina@bk.ru, Kazbekova, Zarina¹ (AUTHOR)

Publikováno v: Mathematics (2227-7390). Feb2024, Vol. 12 Issue 4, p566. 17p.

Comparison of different neural network architectures for detecting anomalies of storage indicators

Autor: Sadullozoda, Shahriyor, Abdullozoda, Ramazona, Moshkin, Vadim, Kurilo, Dmitry, Andreev, Ilya, Gavrilova, Yulia

Publikováno v: Proceedings of SPIE; February 2024, Vol. 13065 Issue: 1 p130650N-130650N-7, 1175858p

An Approach to the Selection of a Time Series Analysis Method Using a Neural Network

Autor: Yashin, Dmitry, Moshkina, Irina, Moshkin, Vadim

Publikováno v: Computational Science and Its Applications – ICCSA 2020

In this paper, a technique for selecting individual methods in a combined time series forecasting model is described. A neural network at the input of which a vector of time series metrics is proposed. The metrics corresponds to significant character

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmc_________::4a6061ca05160f6e5d711b9b5f916aec
http://europepmc.org/articles/PMC7975387

Hybridization of Fuzzy Inference and Self-learning Fuzzy Ontology-Based Semantic Data Analysis.

Autor: Yarushkina, Nadezhda, Moshkin, Vadim, Andreev, Ilya, Klein, Victor, Beksaeva, Ekaterina

Publikováno v: Proceedings of the First International Scientific Conference Intelligent Information Technologies for Industry (IITI'16); 2016, p277-285, 9p