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May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
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Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers

Vol. 542: Series: Communications in Computer and Information Science. Switzerland : Springer, 2015.
Under the general editorship: Khachay M. Y., Konstantinova N., Panchenko A., Ignatov D. I., Labunets V.

This book constitutes the proceedings of the Fourth International Conference on Analysis of Images, Social Networks and Texts, AIST 2015, held in Yekaterinburg, Russia, in April 2015. The 24 full and 8 short papers were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on analysis of images and videos; pattern recognition and machine learning; social network analysis; text mining and natural language processing.

Chapters
FrameBank: a database of Russian lexical constructions
Lyashevskaya O., Kashkin E., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015. Ch. 34 P. 337–348.
Russian FrameBank is a bank of annotated samples from the Russian National Corpus which documents the use of lexical constructions (e.g. argument constructions of verbs and nouns). FrameBank belongs to FrameNet-oriented resources, but unlike Berkeley FrameNet it focuses more on the morphosyntactic and semantic features of individual lexemes rather than the generalized frames, following the ...
Added: April 11, 2015
Formation and evolution mechanisms in online network of students: the Vkontakte case
Dokuka S., Valeeva D., Yudkevich M. M., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015. P. 263–274.
The mechanisms of real-world social network formation and evolution are one of the most important topics in the field of network science. In this study we collect data about the development of the Vkontakte (a popular Russian social networking site) network of first-year students at a Russian university. We analyze the network formation process from ...
Added: October 12, 2015
Discerning Depression Propensity Among Participants of Suicide and Depression-Related Groups of Vk.com
Semenov A., Natekin A., Nikolenko S. I. et al., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015. Ch. 3 P. 24–35.
In online social networks, high level features of user behavior such as character traits can be predicted with data from user profiles and their connections. Recent publications use data from online social networks to detect people with depression propensity and diagnosis. In this study, we investigate the capabilities of previously published methods and metrics applied ...
Added: October 28, 2015
Large-Scale Parallel Matching of Social Network Profiles
Panchenko A., Babaev D., Obiedkov S., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015. P. 275–285.
Added: October 30, 2015
Learning Representations in Directed Networks
Bartunov S., Ivanov O., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015.
We propose a probabilistic model for learning continuous vector representations of nodes in directed networks. These representations could be used as high quality features describing nodes in a graph and implicitly encoding global network structure. The usefulness of the representations is demonstrated on link prediction and graph visualization tasks. Using representations learned by our method ...
Added: November 5, 2015
Text Analysis with Enhanced Annotated Suffix Trees: Algorithms and Implementation
Dubov M., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015. P. 296–307.
We present an improved implementation of the Annotated suffix tree method for text analysis (abbreviated as the AST-method). Annotated suffix trees are an extension of the original suffix tree data structure, with nodes labeled by occurrence frequencies for corresponding substrings in the input text collection. They have a range of interesting applications in text analysis, ...
Added: November 18, 2015
Similarity Aggregation for Collaborative Filtering
Ignatov D. I., Sarwar S. M., Hasan M. et al., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015.
In this paper we show how several similarity measures can be combined for finding similarity between a pair of users for performing Collaborative Filtering in Recommender Systems. Through aggregation of several measures we find super similar and super dissimilar user pairs and assign a different similarity value for these types of pairs. We also introduce ...
Added: November 24, 2015
Sequential Hierarchical Image Recognition Based on the Pyramid Histograms of Oriented Gradients with Small Samples
Savchenko A., Belova N. S., Milov V., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015. Ch. 2 P. 14–23.
In this paper we explore an application of the pyramid HOG (Histograms of Oriented Gradients) features in image recognition problem with small samples. A sequential analysis is used to improve the performance of hierarchical methods. We propose to process the next, more detailed level of pyramid only if the decision at the current level is ...
Added: December 4, 2015
A Heuristics Strategy for Extracting Terms from Scientific Texts
Bolshakova E. I., Efremova N. E., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015. P. 285–295.
The paper describes a strategy that applies heuristics to combine sets of terminological words and words combination pre-extracted from a scientific text by several term recognition procedures. Each procedure is based on a collection of lexico-syntactic patterns representing specific linguistic information about terms within scientific texts. Our strategy is aimed to improve the quality of ...
Added: December 16, 2015
A Heuristics Strategy for Extracting Terms from Scientific Texts
Bolshakova E. I., Efremova N. E., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015. P. 285–295.
The paper describes a strategy that applies heuristics to combine sets of terminological words and words combination pre-extracted from a scientific text by several term recognition procedures. Each procedure is based on a collection of lexico-syntactic patterns representing specific linguistic information about terms within scientific texts. Our strategy is aimed to improve the quality of ...
Added: September 5, 2017
Research target: Sociology (including Demography and Anthropology Computer Science
Priority areas: sociology IT and mathematics
Language: English
Text on another site
Keywords: social networksnatural language processingdata miningtext miningmachine learningAnalysis of Images
Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers
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