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Применение методов машинного обучения для решения задачи автоматической рубрикации статей по УДК
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.
Language:
Russian
Romanov A., Lomotin Konstantin, Kozlova Ekaterina, Data Science Journal 2019 Vol. 18 No. 1 P. 1-17
This work is devoted to the study of applicability of modern methods of machine learning to the task of automatic classification of scientific articles and abstracts. For this purpose, the study of such models of machine learning as artificial neural networks, random forest, logistic regression, and support vector machine (with taking into account such a ...
Added: August 25, 2019
Frolov A. A., Pochinka I. G., Shakhov B. Е. et al., Sovremennye Tehnologii v Medicine 2021 Vol. 13 No. 6 P. 6-13
The aim of the study was to develop, evaluate, and validate an artificial neural network to predict coronary microvascular obstruction (CMVO) during percutaneous coronary interventions (PCI) in patients with myocardial infarctions (MI) based on the parameters, which are routinely available in an operating room when choosing a surgical approach.
Materials and Methods
5621 patients with MI and emergency ...
Added: June 21, 2023
Ананьева М. И., Кобозева М. В., Соловьев Ф. Н. et al., Вестник Новосибирского государственного университета. Серия: Информационные технологии 2016 Т. 14 № 4 С. 5-13
Рассматриваются методы, используемые для обнаружения экстремистских текстов из Интернета. Дальнейшее исследование необходимо, чтобы найти новые методы классификации текстов и дифференцирующие признаки для классификации текстов экстремистской тематики. ...
Added: January 25, 2017
Braslavski P., Karpov Nikolay, Worring M. et al., ACM SIGIR Forum 2014 Vol. 48 No. 2 P. 105-110
The 8th Russian Summer School in Information Retrieval (RuSSIR 2014) was held on August 18-22, 2014 in Nizhniy Novgorod, Russia.1 The school was co-organized by the National Research University Higher School of Economics2 and the Russian Information Retrieval Evaluation Seminar (ROMIP) ...
Added: August 22, 2015
Chelyabinsk : IEEE, 2018
The 2018 Global Smart Industry Conference is organized in order to exchange experience, promote discussion and presentation of research papers, and summarize results in development of innovative models, methods and technologies for the digital industry in universities, scientific and industrial associations of the Russian Federation as well as in foreign companies, and the experience of ...
Added: November 25, 2019
Ахметсафин Р. Д., Akhmetsafina R., Известия высших учебных заведений. Приборостроение 2021 Т. 64 № 7 С. 532-541
Nine machine learning methods (ANN, ANFIS, ELM, FM, SVM, GPR, RF, RT, k-NN) are compared using the example of predicting acoustic logging data. With machine learning, the solution to the regression problem can be used not only for predicting geophysical fields, but also for filing in missing data. The constructed curve T(Р) of the P-wave ...
Added: July 25, 2021
Berlin : Association for Computational Linguistics, 2016
The 2016 Conference on Computational Natural Language Learning is the twentieth in the series of annual meetings organized by SIGNLL, the ACL special interest group on natural language learning. CoNLL 2016 will be held on August 11-12, 2016, and is co-located with the 54th annual meeting of the Association for Computational Linguistics (ACL) in Berlin, ...
Added: November 12, 2016
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
Romanov A. Yu., Stempkovsky A. L., Lariushkin I. V. et al., IEEE Access 2021 Vol. 9 P. 82318-82324
Modern computational tasks are often required to not only guarantee predefined accuracy, but get the result fast. Optimizing calculations using floating point numbers, as opposed to integers, is a non-trivial task. For this reason, there is a need to explore new ways to improve such operations. This paper presents analysis and comparison of various floating ...
Added: July 26, 2021
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
Aachen : CEUR Workshop Proceedings, 2019
Workshop concentrates on an interdisciplinary approach to modelling human behavior incorporating data mining and expert knowledge from behavioral sciences. Data analysis results extracted from clean data of laboratory experiments will be compared with noisy industrial datasets from the web e.g. Insights from behavioral sciences will help data scientists. Behavior scientists will see new inspirations to ...
Added: November 19, 2019
Braslavski P. undefined., Markov I., Pardalos P. M. et al., ACM SIGIR Forum 2016 Vol. 49 No. 2 P. 72-79
This paper provides the reader with a report on 9th Russian Summer School in Information Retrieval (RuSSIR 2015). ...
Added: February 27, 2017
Romanov A., Lomotin K.E., Kozlova E.S. et al., , in : 2016 International Siberian Conference on Control and Communications (SIBCON). Proceedings. : M. : HSE, 2016. Ch. 543fu4t.
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 ...
Added: June 11, 2016
Ананьева М. И., Девяткин Д. А., Кобозева М. В. et al., Труды Института системного анализа Российской академии наук 2017 Т. 67 № 3 С. 86-97
В работе описаны корпуса текстов для обучения и тестирования методов обнаружения текстов экстремистской направленности. Выполнено исследование характеристик текстов русскоязычного корпуса. Сформирован набор признаков, характерных для материалов противоправного содержания. Эмпирически показана применимость выявленных признаков для решения задачи обнаружения сообщений экстремистского содержания. ...
Added: September 29, 2017
Рысаков С. В., Системный администратор 2015 № 10(155) С. 92-95
The article provides a review of modern methods of morphological ambiguity resolution. We considered such methods as statistical disambiguation, Brill’s automatically generated rules, decision trees and their modifications. For the comparison, the article provides numerical results obtained on two open corpora: OpenCorpora and SynTagRus. ...
Added: November 25, 2015
Cham : Springer, 2019
This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018.The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data ...
Added: October 17, 2019
Naidenova X., Ignatov D. I., Hershey : IGI Global, 2012
The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users’ requirements and the quality of solving targeted problems in domain applications.
Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and ...
Added: December 3, 2012
Губко М. В., Kuznetsov S., Neznanov A. et al., IFAC-PapersOnLine 2016 Vol. 49 No. 32 P. 24-29
In coming years residential consumers will face real-time electricity tariffs with energy prices varying day to day, and effective energy saving will require automation - a recommender system, which learns consumer's preferences from her actions. A consumer chooses a scenario of home appliance use to balance her comfort level and the energy bill. We propose ...
Added: January 24, 2017
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
Polyakov E. V., Мажанов М. С., Качалова М. В. et al., Системный администратор 2017 № 12 С. 80-85
The development of cognitive technologies contributes to the effective introduction of Artificial Intelligence into the everyday life of a person. New interfaces for device-human interaction appear. Understanding the natural language of human is one of the most promising areas of the development of Artificial Intelligence. Voice assistants are a striking example of such systems, they ...
Added: December 10, 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
IEEE, 2020
Added: October 3, 2020
Avdoshin S. M., Savelieva A., Информационные технологии 2012 № 5 С. 58-62
In this paper we propose a new approach to teaching practical information security in higher school based on case studies. We justify its place in information security curriculum by providing an example from our experience of using the approach for BSc and MSc students of Higher School of Economics in the courses on "Technical and ...
Added: September 7, 2012