Классификация расстройств аутистического спектра и нормального развития на основе сходства разбиений сетевых структур мозга
Kurmukov A., Dodonova Y., Zhukov L. E.
М. : ИППИ РАН, 2016
, , В кн. : Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов им. Е.В. Арменского. : М. : МИЭМ НИУ ВШЭ, 2019. С. 77-78.
In this paper, research and development of a method for clustering social network users into groups is carried out, based on the description of the films. ...
Added: May 26, 2019
, , В кн. : Сборник статей конференции "Информационные технологии и системы" (ИТиС'16). : М. : ИППИ РАН, 2016. С. 509-516.
Многие графовые метрики основаны на предположении, что веса графа представляют расстояния между вершинами, которые мы можем складывать. Если считать эти метрики для стохастических матриц случайного блуждания на графе, то физический смысл вероятностей перехода между вершинами теряется (поскольку вероятности переходов перемножаются, а не складываются). Мы предлагаем решать эту проблему использованием отрицательных логарифмов весов ребер. Используя этот ...
Added: December 15, 2016
Formal Concept Analysis: 16th International Conference, ICFCA 2021, Strasbourg, France, June 29 – July 2, 2021, Proceedings
This book constitutes the proceedings of the 16th International Conference on Formal Concept Analysis, ICFCA 2021, held in Strasbourg, France, in June/July 2021. The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains four invited contributions in full paper length. The research part ...
Added: July 10, 2021
, , , , in : 16th IEEE International Conference on Data Mining Workshops (ICDMW). : NY : IEEE Computer Society, 2016. P. 107-112.
We consider a task of classifying normal and pathological brain networks. These networks (called connectomes) represent macroscale connections between predefined brain regions; hence, the nodes of connectomes are uniquely labeled and the set of labels (brain regions) is the same across different brains. We make use of this property and hypothesize that connectomes obtained from ...
Added: December 9, 2016
Консолидация различных вариантов сетевых структур мозга при решении задачи классификации нормы и патологии
, , , in : Сборник статей конференции "Информационные технологии и системы" (ИТиС'16). : М. : ИППИ РАН, 2016. P. 256-263.
We solve a task of classifying autism spectrum disorder versus normal controls based on structural brain networks (connectomes). We compare different approaches to machine learning in a nspecial conditions when each subject is represented by a set of connectomes obtained after applying different weightings and normalizations to the original dataset. We consider two algorithms of ...
Added: December 15, 2016
, , et al., Voting: a machine learning approach / . 2020. No. 145.
Voting rules can be assessed from quite different perspectives: the axiomatic, the pragmatic, in terms of computational or conceptual simplicity, susceptibility to manipulation, and many others aspects. In this paper, we take the machine learning perspective and ask how ‘well’ a few prominent voting rules can be learned by a neural network. To address this ...
Added: October 31, 2021
Analysis and interpretation of imaging mass spectrometry data by clustering mass-to-charge images according to their spatial similarity
, , et al., Analytical Chemistry 2013 Vol. 85 No. 23 P. 11189-11195
Imaging mass spectrometry (imaging MS) has emerged in the past decade as a label-free, spatially resolved, and multipurpose bioanalytical technique for direct analysis of biological samples from animal tissue, plant tissue, biofilms, and polymer films. Imaging MS has been successfully incorporated into many biomedical pipelines where it is usually applied in the so-called untargeted mode-capturing spatial localization of a multitude of ions ...
Added: November 18, 2013
, , , in : Advances in Computational Intelligence. IWANN 2019. : Berlin : Springer, 2019. P. 667-677.
In this paper, we study the problem of predicting quantity of collaborations in co-authorship network. We formulated our task in terms of link prediction problem on weighted co-authorship network, formed by authors writing papers in co-authorship represented by edges between authors in the network. Our task is formulated as regression for edge weights, for which ...
Added: July 29, 2019
APPLICATION OF DATA ENVELOPMENT ANALYSIS IN MANAGEMENT RESEARCH (CASE OF RUSSIAN DOMESTIC ENERGY SECTOR)
, APPLICATION OF DATA ENVELOPMENT ANALYSIS IN MANAGEMENT RESEARCH (CASE OF RUSSIAN DOMESTIC ENERGY SECTOR) / Высшая школа экономики. Series MAN "Management". 2013.
The idea that different firms can be classified into relatively homogeneous groups has been popular for many years, and many typologies have been developed and tested using a variety of classification tools. It has become apparent, however, that most clustering tools are somewhat limited, because they create groups of companies based on similar characteristics, without ...
Added: February 18, 2014
Epileptogenic high-frequency oscillations present larger amplitude both in mesial temporal and neocortical regions
, , 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
, , , 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
, , , in : Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems. : Hershey : IGI Global, 2012. Ch. 8. P. 185-195.
Recommender systems are becoming an inseparable part of many modern Internet web sites and web shops. The quality of recommendations made may significantly influence the browsing experience of the user and revenues made by web site owners. Developers can choose between a variety of recommender algorithms; unfortunately no general scheme exists for evaluation of their ...
Added: December 3, 2012
, Логистика и управление цепями поставок 2018 № 4 (87) С. 27-33
One of the options for a more flexible approach to analyzing the reliability of supply chains is the principal component analysis (PCA). With a large number of variables describing supply chain, it is a difficult task to analyze the structure of variables in two-dimensional space. Within the analysis of the variables dependencies PCA allows to ...
Added: November 29, 2018
Usage of Clustering of Paley Graphs in Polar Coordinates for the Development of New Network on Chip Topologies
, , , , in : 2022 International Russian Automation Conference (RusAutoCon). : IEEE, 2022. P. 419-423.
The article presents a study of clustering of Paley graphs with the arrangement of prime numbers in polar coordinates and a comparison of the resulting groups in terms of their static parameters; the application of fault-tolerant self-organizing routing method for new topologies is also considered. This article is a continuation of a series of articles ...
Added: October 2, 2022
, 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
, , et al., Frontiers in Psychology 2016 Vol. 7 No. 1429 P. 1-21
We report a study of referential choice in discourse production, understood as the choice between various types of referential devices, such as pronouns and full noun phrases. Our goal is to predict referential choice, and to explore to what extent such prediction is possible. Our approach to referential choice includes a cognitively informed theoretical component, ...
Added: September 28, 2016
, В кн. : Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов им. Е.В. Арменского. : М. : МИЭМ НИУ ВШЭ, 2019. С. 223-224.
Данная работа посвящена актуальной теме автоматизации в машинном обучении на примере создания универсальной рекомендательной системы. В работе исследуются различные типы рекомендательных систем, акцент делается на подходы коллаборативной фильтрации. Изучаются методы автоматизации машинного обучения, на основе которых будет разработана данная рекомендательная система. ...
Added: October 31, 2020
Исследовательский проект как инструмент обучения методам анализа текста: предсказание класса поста в социальной сети
, , et al., Компьютерные инструменты в образовании 2018 № 3 С. 49-64
The article describes a student research project on predicting the class of a post on a social network based on its textual content. The features of the project are discussed as an integral part of the trajectory of teaching data analysis methods, including text analysis methods and tools that are often not included in machine ...
Added: January 28, 2019
Что в профиле тебе моем: Данные «ВКонтакте» как инструмент изучения интересов современных подростков
, , Вопросы образования 2017 № 2 С. 134-152
Children’s interests play a key role in their psychological development. However, research in this field is associated with serious methodological problems, as it has traditionally used questionnaire surveys that cannot adequately describe the diverse and dynamic world of interests of a developing person. The article suggests using the information on VKontakte communities followed by teenagers, ...
Added: July 21, 2017
NY : IEEE, 2016
This paper aims to tackle the problem of brain network classification with machine learning algorithms using spectra of networks’ matrices. Two approaches are discussed: first, linear and tree-based models are trained on the vectors of sorted eigenvalues of the adjacency matrix, the Laplacian matrix and the normalized Laplacian; next, SVM classifier is trained with kernels ...
Added: December 9, 2016
Russian Nationalist Movement Restructuring in light of the Ukrainian Events which took place in 2013-14
, Russian Nationalist Movement Restructuring in light of the Ukrainian Events which took place in 2013-14 / Social Science Research Network. Series SSRN Working Paper Series "SSRN Working Paper Series". 2015.
The events in Ukraine in 2013-2014 attracted the Russian society’s attention and affected the Russian political agenda. One of the most affected sectors of the Russian domestic policy was Russian nationalist organizations. The issue of radical nationalism has become essential for European countries and for Russia in particular. But this object is rather difficult to ...
Added: October 15, 2015
Analysis of Images, Social Networks and Texts Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers
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
, В кн. : МАШИННОЕ ОБУЧЕНИЕ В ИССЛЕДОВАНИЯХ МЕДИКО-БИОЛОГИЧЕСКИХ И СОЦИАЛЬНО-ЭКОНОМИЧЕСКИХ ДАННЫХ. : СПб. : Федеральное государственное автономное образовательное учреждение высшего образования "Санкт-Петербургский политехнический университет Петра Великого", 2020. С. 284-333.
In many practical tasks it is needed to estimate an effect of treatment on individual level. For example, in medicine it is essential to determine the patients that would benefit from a certain medicament. In marketing, knowing the persons that are likely to buy a new product would reduce the amount of spam. In this ...
Added: December 7, 2021
, , 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