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ОСОБЕННОСТИ ПРИМЕНЕНИЯ ПРЕДОБУЧЕННЫХ СВЁРТОЧНЫХ НЕЙРОННЫХ СЕТЕЙ К ЗАДАЧАМ СТЕГОАНАЛИЗА ГРАФИЧЕСКИХ ИЗОБРАЖЕНИЙ
Автометрия. 2021. № 4. С. 98-105.
Emmanuel I. C., Mitrofanova E., / Cornell Tech. Series 4064475 "ArXiv Preprint". 2022.
The paper is devoted to the study of the model fairness and process fairness of the Russian demographic dataset by making predictions of divorce of the 1st marriage, religiosity, 1st employment and completion of education. Our goal was to make classifiers more equitable by reducing their reliance on sensitive features while increasing or at least ...
Added: May 31, 2022
Елисеев Д. А., Romanov D. A., Открытые системы. СУБД 2018 № 2 С. 42-44
В сфере госзакупок обращаются огромные денежные средства, и сегодня прикладываются большие усилия для обеспечения мониторинга процесса выполнения контракта — своевременное управление рисками может позволить сэкономить миллиарды рублей. Точная модель автоматизированной оценки рискованности государственных контрактов, построенная на базе алгоритмов машинного обучения, может помочь повысить эффективность государственных закупок. ...
Added: December 19, 2018
Zhuk R., Ignatov D. I., Konstantinova N., Procedia Computer Science 2014 Vol. 31 P. 928-938
We propose extensions of the classical JSM-method and the Na ̈ıve Bayesian classifier for the case of triadic relational data. We performed a series of experiments on various types of data (both real and synthetic) to estimate quality of classification techniques and compare them with other classification algorithms that generate hypotheses, e.g. ID3 and Random ...
Added: June 9, 2014
Драчев Г. А., Istratov A., Вестник компьютерных и информационных технологий 2019 № 5 С. 28-37
An approach to the detection of hidden information (stegocontainers) in the audio data of MP3 files based on neural network modeling is considered. A multilayer perceptron is used as the instrumental model of the neural network.
The structural components of the MP3 file are analyzed: fields containing related information (song titles, album, information about the author, lyrics, etc.), ...
Added: September 25, 2019
Kosmachev A., Задорожникова А. А., Perov A., В кн. : БОЛЬШИЕ ДАННЫЕ Материалы I Международного форума (Новосибирск, 16–18 ноября 2022 года). : Новосибирск : Новосибирский государственный университет экономики и управления «НИНХ», 2023.
The article discusses the basic concepts and terms used in steganography, substantiates the relevance of the problem of steganalysis, discusses the use of deep neural networks in the tasks of steganalysis on digital images. A comparative analysis and description of the most effective convolutional network architectures for solving the task is performed. ...
Added: January 26, 2024
Kashnitsky Y., Ignatov D. I., Интеллектуальные системы. Теория и приложения 2015 Т. 19 № 4 С. 37-55
The paper makes a brief introduction into multiple classifier systems and describes a particular algorithm which improves classification accuracy by making a recommendation of an algorithm to an object. This recommendation is done under a hypothesis that a classifier is likely to predict the label of the object correctly if it has correctly classified its ...
Added: December 7, 2015
Vlasenko D., Zaikin A., Zakharov D., Известия высших учебных заведений. Прикладная нелинейная динамика 2023 Т. 31 № 5 С. 661-669
Because the brain is an extremely complex hypernet of interacting macroscopic subnetworks, full-scale analysis of brain activity is a daunting task.Nevertheless,this task can be greatly simplified by analysing the correspondence between various patterns of macroscopic brain activity, forex ample,through functional magneticresonance imaging(fMRI) scans, and the performance of particular cognitive tasks or pathological states.The purpose of ...
Added: October 4, 2023
Evsyutin O., Мещеряков Р. В., Шумская О. О., Вестник компьютерных и информационных технологий 2018 № 10 С. 11-21
Steganalysis of digital images includes creation of feature space, formation of learning selection and qualifier training. Some known steganalysis systems offered for practical use work in space with dimension in tens of thousands of features. Therefore researches directed to identification of the most informative features including indicating use when embedding concrete steganographic primitives are relevant. ...
Added: September 4, 2019
Башмаков А. И., Белоозеров В. Н., Starykh V., Информационные системы и технологии 2013 № 6(80) С. 88-102
In article process of construction formal ontology of information resources system for an education, that pursues the aim to reflect representation about this sphere in the automated systems intended for creation, account, ordering, storage, search and use of these resources in educational institutions of various level is stated. The system of information resources is set ...
Added: January 16, 2014
Filipenkov N., Заворотная М. П., Управление финансовыми рисками 2020 Т. 62 № 2 С. 86-90
This article is based on the interview with M.Bukhtin (Head of Risk Modeling Department, the Central Bank of Russia) by M. Zavorotnaya and N. Filipenkov ...
Added: August 16, 2020
[б.и.], 2019
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Added: January 15, 2020
Chernikov B. V., Вестник машиностроения, СТИН 2013 № 3 С. 74-78
Рассмотрены составляющие документации промышленных предприятии и основы внедрения лексикологического синтеза документов. Исследованы структура документационного обеспечения предприятий, состав, информативность и содержание документов ...
Added: April 15, 2013
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
Berlin, Heidelberg : Springer, 2012
This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy ...
Added: December 3, 2012
Copenhagen, Denmark : CEUR Workshop Proceedings, 2021
The second workshop on Crowd Science is organized in conjunction with the 47th International Conference on Very Large Data Bases (VLDB 2021). This workshop is the second in a series of events that has the goal of helping crowdsourcing “transition” from art to science, and tackles the research challenges that we face to make crowdsourcing ...
Added: December 13, 2021
Berlin : Springer, 2014
This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and ...
Added: November 13, 2014
Izmailov P., Kropotov D., Journal of machine learning and data analysis 2017 Vol. 3 No. 1 P. 20-35
Background: Gaussian processes (GP) provide an elegant and effective approach to learning in kernel machines. This approach leads to a highly interpretable model and allows using the Bayesian framework for model adaptation and incorporating the prior knowledge about the problem. The GP framework is successfully applied to regression, classification, and dimensionality reduction problems. Unfortunately, the ...
Added: December 6, 2018
Новиков О. В., Прикладная информатика 2013 № 5(47) С. 29-34
This article represents different techniques for building fast recommender systems based on dimension reduction and classification of web-site usage data. Description of different web-site types that use recommender systems is provided. ...
Added: October 28, 2013
Kitov V. V., Экономика, статистика и информатика. Вестник УМО 2016 № 4 С. 22-26
Gradient boosting method with random rotations is considered, where before training each base learner random rotation is applied to the feature space. The accuracy metric of the given method is estimated for a broad range of generated problems of binary classification. Obtained results are evaluated and recommendations given for application of this method. ...
Added: August 23, 2016
Bonch-Osmolovskaya A. A., Вопросы языкознания 2016 № 2 С. 100-120
Статья посвящена обзору работ последних лет, в которых теоретическая исследовательская задача решается с помощью методов или инструментов, используемых в компьютерной лингвистике. В обзоре проводится подробный анализ того, как именно с помощью применения того или иного инструмента или метода можно получить новые знания о природе языка. В частности, выделяются два основных направления, развитие которых в рамках ...
Added: April 14, 2015
Karpychev V., Balatskaya A., Utyashev N. et al., Frontiers in Human Neuroscience 2022 No. 16 Article 984306
High-frequency oscillations (HFO) are a promising biomarker for the identification of epileptogenic tissue. While HFO rates have been shown to predict seizure outcome, it is not yet clear whether their morphological features might improve this prediction. We validated HFO rates against seizure outcome and delineated the distribution of HFO morphological features. We collected stereo-EEG recordings ...
Added: October 1, 2022
Нужный А. С., Глухов А. Ю., Левченко Е. Н. et al., Нефтехимия 2021
Рассматривается задача построения виртуальных анализаторов лабораторных показателей для легких фракций гидрокрекинга нефтяных остатков. В ходе выполнения данной задачи были выделены основные показатели состояния установки, связанные с моделируемыми лабораторными величинами. Задача построения виртуальных анализаторов была сведена к классической задаче «обучения с учителем» путем смещения показателей установки на правильно подобранные временные лаги. Рассматривается подход к оценке значений ...
Added: April 11, 2021
М. : Физматлит, 2010
В сбонике представлены полные тексты докладов, принятых на Двенадцатую национальную конференцию по искусственному интеллекту (КИИ-2010). работы посвящены моделированию рассуждений, неклассическим логикам, интеллектуальному анализу данных, машинному обучению, компьютерной лингвистике и семантическому Web'у, когнитивным исследованиям и другим направлениям исследований в области искусственного интеллекта. ...
Added: March 15, 2013
Evsyutin O., Култаев П. И., Multimedia Tools and Applications 2021 Vol. 80 No. 7 P. 11217-11238
The paper presents a new algorithm for embedding information in the frequency domain of the discrete wavelet-transform (DWT) of digital images. A block version of quantization index modulation (QIM) is used as a basic embedding operation. A distinctive feature of the algorithm consists in the adaptive selection of the data block size depending on the ...
Added: December 24, 2020