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Research of Neural Networks Application Efficiency in Automatic Scientific Articles Classification According to UDC
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In this work realization of automatic scientific articles classification according to Universal Decimal Classifier is presented. Efficiency of neural networks technologies application for current task is researched, and optimal neural network structure and parameters are offered
In book
M. : HSE, 2016
Romanov A., Ломотин К. Е., Козлова Е. С., Информационные технологии 2017 Т. 23 № 6 С. 418-423
The paper deals with the applicability of modern machine learning methods to the problem of automatic generation of UDC for scientific articles. As the classifiers, such models as artificial neural networks, logistic regression and boosting are considered. Graph algorithms and a prototype software module to generate UDC are designed. ...
Added: July 30, 2017
Romanov A., Lomotin K.E., Kozlova E.S., , in : Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2017), Moscow, Russia, July 27-29, 2017. Vol. 1975.: Aachen : CEUR-WS.org, 2017. P. 122-133.
This research examines the problems of automatic scientific articles classification according to Universal Decimal Classifier. To reveal the structure of the train data its visualization was obtained using the recursive feature elimination algorithm. Further; the study provides a comparison of TF-IDF and Weirdness – two statistic-based metrics of keyword significance. The most efficient classification methods ...
Added: November 28, 2017
Bukharov O., Bogolyubov D., Системный администратор 2014 № 9 С. 88-92
This paper describes aspects of development of decision support system based on neural networks and a genetic algorithm. We justify the use of general-purpose computing on graphics processing units (GPGPU) for our decision support system. Example of CUDA successful application to increase computing performance of the system in question is presented. ...
Added: September 12, 2014
Bukharov O., В кн. : Научно-техническая конференция студентов, аспирантов и молодых специалистов НИУ ВШЭ им. Е.В. Арменского. Материалы конференции. : М. : МИЭМ НИУ ВШЭ, 2015. С. 37-38.
В работе описывается разработанная интеллектуальная система поддержки принятия решений. Описаны результаты, достигнутые благодаря применению данной системы для анализа и прогнозирования площади морских льдов в Северном полушарии. ...
Added: February 14, 2015
Suvorov A., Суворова В. А., В кн. : Искусственный интеллект в решении актуальных социальных и экономических проблем XXI века: Сборник статей по материалам Второй всероссийской научно-практической конференции, проводимой в рамках Пермского естественнонаучного форума «Математика и глобальные вызовы XXI века» (16-17 мая 2017 г,) г. Пермь). : Пермь : Издательский центр Пермского государственного национального исследовательского университета, 2017. С. 129-135.
The article describes the development of a neural network for the detection and classification of network attacks. The paper estimated the importance of the input parameters of compounds, represents built a neural network with a full and reduced set of parameters, depicts a completed comparative analysis of their performance. The result is the optimal model ...
Added: January 23, 2019
Петровский Д. В., Соболевский В. А., Логистика и управление цепями поставок 2018 № 3(86) С. 86-93
This article deals with the problem of input data generating for the creation and training of an artificial neural network, which is the basis of the classification module of a dynamic monitoring system of the manufacture performance indexes. The input data that was used to train the neural network was divided into the following categories: ...
Added: October 2, 2018
Bukharov O., В кн. : Научно-техническая конференция студентов, аспирантов и молодых специалистов НИУ ВШЭ им. Е.В. Арменского. Материалы конференции. : М. : МИЭМ НИУ ВШЭ, 2016. С. 56-58.
В работе описывается разработанная интеллектуальная система поддержки принятия решений (СППР). Рассмотрена проблема обработки нечеткой информации. Приведено описание разработанного модуля работы с нечеткими переменными, расширяющего область применения разработанной СППР. ...
Added: March 7, 2016
Method of calculating Lyapunov exponents for time series using artificial neural networks committees
Dmitrieva L., Smetanin N., Kuperin Y. et al., Days on Diffraction (DD) 2016 P. 127-132
The aim of this work is to develop a method for calculating all Lyapunov exponents from time series with high accuracy. To achieve this goal we propose a new method for determining the local and global Lyapunov exponents for a given time series. A special feature of the proposed method is the use of neural ...
Added: August 23, 2017
Babash A. V., Микрюков А. А., Сизов В. А., Открытое образование 2019 № 23(1) С. 57-63
При решении сложных задач классификации зачастую ни один из используемых алгоритмов классификации не обеспечивает требуемой точности.В таких случаях строят композиции алгоритмов, в которых ошибки отдельных алгоритмов взаимно компенсируются. Рассматривается применение нейросетевого ансамбля для решения
задач классификации событий безопасности в корпоративной информационной системе. Представлен краткий обзор существующих подходов к построению нейросетевых ансамблей и методов формирования решений задач, в которых используются нейросетевые классификаторы. ...
Added: February 22, 2020
Гершкович В. А., Falikman M., Российский журнал когнитивной науки 2018 Т. 5 № 4 С. 28-46
The paper briefly introduces the history of cognitive psychology from its emergence in the 1950s until the present. The unique contribution of cognitive psychology to psychological science is discussed. The main lines of cognitive psychology criticism and self-criticism are outlined: they include the single representational format in the information processing system, the limited resources of ...
Added: February 2, 2020
Demidovskij A., Babkin E., Нейрокомпьютеры: разработка, применение 2021 Т. 23 № 2 С. 5-14
The construction of integrated sub-symbolic systems is considered to be an important scientific direction where the expression of symbolic rules in the form of a neural network plays a key role. At the same time, there is an actual task of creating neural architec- tures for solving complex intellectual tasks without preliminary testing for modeling ...
Added: June 8, 2021
Karpov N., Demidovskij A., Malafeev A., , in : Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2017), Moscow, Russia, July 27-29, 2017. Vol. 1975.: Aachen : CEUR-WS.org, 2017. P. 69-78.
This paper presents a method to analyze discussions from social network by using deep learning. We have prepared a new dataset by collecting discussions from a social network and annotating remarks of the discussion. The annotation consists of two types of labels for each message: intention type and direction of intention. Using this dataset and ...
Added: November 14, 2017
Kharlamov A. A., , in : Neuroinformatics and Semantic Representations: Theory and Applications. : Cambridge Scholars Publishing, 2020. P. 156-167.
На основе представлений об обработке информации в мозге человека [1] реализована технология автоматической смысловой обработки текстов TextAnalyst, позволяющая выявить ключевые понятия текста в их взаимосвязях, реализовать реферирование текстов и их смысловое сравнение (классификацию). Реализованы продукты, использующие функциональность этой технологии: персональный – TextAnalyst, и библиотека COM модулей – TextAnalyst SDK. ...
Added: December 7, 2021
Malafeev A., Nikolaev K., , in : Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science. Vol. 1086.: Springer, 2020. P. 154-159.
In this paper, a deep learning method study is conducted to solve a new multiclass text classification problem, identifying user interests by text messages. We used an original dataset of almost 90 thousand forum text messages, labeled for ten interests. We experimented with different modern neural network architectures: recurrent and convolutional, as well as simpler ...
Added: November 7, 2019
Sergey Smetanin, Mathematics 2022 Vol. 10 No. 16 Article 2947
Policymakers and researchers worldwide are interested in measuring the subjective well-being (SWB) of populations. In recent years, new approaches to measuring SWB have begun to appear, using digital traces as the main source of information, and show potential to overcome the shortcomings of traditional survey-based methods. In this paper, we propose the formal model for ...
Added: August 15, 2022
Byzov A., Социология: методология, методы, математическое моделирование 2019 № 49 С. 131-160
Throughout most of their history, sociologists have sought to study unstructured organic texts: newspaper materials, diaries, memoirs, letters, documents, and, more recently, messages, publications and other texts on various online platforms. This article discusses how modern techniques of text mining can improve classical sociological approaches to the analysis of this type of data. The article ...
Added: December 9, 2019
Ломотин К. Е., Romanova I., В кн. : ФЭЭ 2017: Физика, Электроника, Электротехника. Материалы научно-технической конференции. : Сумы : СумДу, 2017. С. 152-152.
В процессе обработки текстов остро встает проблема нехватки производительности. Семантические и статистические модели документов требуют сложных вычислений, которые могут занимать длительное время. Эта проблема является преградой на пути внедрения последних разработок в области классификации текстов. В данной работе рассматривается проект аппаратного модуля, реализующего классификацию входящих документов по заданным тематикам. ...
Added: July 31, 2017
Кусакин И. К., Федорец О. В., Romanov A., Научно-техническая информация. Серия 2: Информационные процессы и системы 2022 Т. 12 С. 6-9
This paper discusses modern approaches to natural language processing and appliance of artificial intelligence technologies in the task of classifying scientific texts in Russian. The report contains an analysis of implementations of text vectorization methods, a description of experiments with training various classifier models: from classical machine learning algorithms to neural network transformer architectures. ...
Added: January 31, 2023
Polyakov I. V., Соколова Т. В., Chepovskiy A. et al., Вестник Новосибирского государственного университета. Серия: Информационные технологии 2015 Т. 13 № 2 С. 55-63
This paper presents a text classification method based on mutual information method. It was shown that word stems are universal features for text classification problem ...
Added: October 24, 2015
Durandin O., Zolotykh N., Хилал Н. Р. et al., Научно-технический вестник информационных технологий, механики и оптики 2017 № 1(107) С. 110-116
Subject of Research.We propose an approach for solving machine learning classification problem that uses the information about the probability distribution on the training data class label set. The algorithm is illustrated on a complex natural language processing task - classification of Arabic dialects. Method. Each object in the training set is associated with a probability distribution over ...
Added: February 8, 2017
Ломотин К. Е., Козлова Е. С., Колесниченко А. Л. et al., В кн. : Инновационные, информационные и коммуникационные технологии: сборник трудов XIII Международной научно-практической конференции. : М. : Ассоциация выпускников и сотрудников ВВИА им. проф. Жуковского, 2016. С. 92-95.
In the article an efficiency of the modern classification instruments usage for the task of scientific articles texts rubrication according to the UDC classifier is analyzed. The following means are explored: artificial neural networks, cosine similarity, naive Bayesian classifier, decision trees and random forest. ...
Added: October 29, 2016
Oleg Bukharov, Dmitry Bogolyubov, Fedorov V. et al., , in : Managing Intellectual Capital and Innovation for Sustainable and Inclusive Society. : Lublin : ToKnowPress, 2015. Ch. H4. P. 251-256.
The paper is devoted to the description of a new multi-purpose intellectual decision support system. We present the algorithms used and the results achieved in applying the system to analyzing and forecasting the sea ice area in the Northern Hemisphere. The impact of solar radiation on the changes in the sea ice area was confirmed. ...
Added: June 12, 2015
Demidovskij A., Babkin E., Информационно-управляющие системы 2021 № 5 С. 40-50
Introduction: The construction of integrated neurosymbolic systems is an urgent and challenging task. Building neurosymbolic decision support systems requires new approaches to represent knowledge about a problem situation and to express symbolic reasoning at the subsymbolic level. Purpose: Development of neural network architectures and methods for effective distributed knowledge representation and subsymbolic reasoning in decision support systems in ...
Added: November 3, 2021
Кусакин И. К., Цурупа А. М., Алмакаев А. В. et al., В кн. : НТИ-2022. Научная информация в современном мире: глобальные вызовы и национальные приоритеты : материалы 10-ой научной конференции с международным участием, посвященной 70-летию ВИНИТИ РАН, Москва, 25–26 октября 2022 года. : М. : ВИНИТИ РАН, 2022. С. 103-109.
This work is devoted to the study of approaches for training BERT-based classifiers of scientific articles to implement the application with the adoption of the best models for use in the infrastructure of the VINITI RAS. For this purpose, the BERT linguistic model was trained on a specialized corpus of scientific texts for subsequent use ...
Added: January 31, 2023