Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information Science

Vol. 661. Switzerland : Springer, 2017.

Под общей редакцией: Игнатов Д. И., Khachay M. Y., Labunets V., Лукашевич Н. В., Николенко С. И., Panchenko A., Савченко А. В., Воронцов К. В.

This book constitutes the proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, held in Yekaterinburg, Russia, in April 2016. The 23 full papers, 7 short papers, and 3 industrial papers were carefully reviewed and selected from 142 submissions. The papers are organized in topical sections on machine learning and data analysis; social networks; natural language processing; analysis of images and video.

Главы книги

Organizational networks revisited: relational predictors of Organizational Citizenship Behavior

Кускова В. В., Артюхова Е. В., Камалов Р. А. и др., , in: Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information ScienceVol. 661.: Switzerland: Springer, 2017. P. 108–117.

Добавлено: 19 октября 2016 г.

Performance of Machine Learning Algorithms in Predicting Game Outcome from Drafts in Dota 2

Семенов А. В., Romov P., Korolev S. и др., , in: Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information ScienceVol. 661.: Switzerland: Springer, 2017. P. 26–37.

Добавлено: 23 октября 2016 г.

The Structure of Organization: the Coauthorship Network Case

Докука С. В., Krasnov F., Яворский Р. Э., , in: Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information ScienceVol. 661.: Switzerland: Springer, 2017. P. 100–107.

Добавлено: 15 декабря 2016 г.

Homophily Evolution in Online Networks: Who is a Good Friend and When?

Докука С. В., Валеева Д. Р., Юдкевич М. М., , in: Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information ScienceVol. 661.: Switzerland: Springer, 2017. P. 91–99.

Homophily is considered by network scientists as one of the major mechanisms of social network formation. However, the role of dynamic homophily in the network growth process has not been investigated in detail yet. In this paper, we estimate the role of homophily by various attributes at different stages of online network formation process. We ...

Добавлено: 15 декабря 2016 г.

The Corpus of Syntactic Co-occurences: the First Glance

Клышинский Э. С., Ермаков П. Д., Lukashevich N. и др., , in: Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information ScienceVol. 661.: Switzerland: Springer, 2017. P. 85–90.

Добавлено: 27 февраля 2017 г.

A real-time algorithm for mobile robot mapping based on rotation-invariant descriptors and iterative close point algorithm

Vokhmintcev A., Яковлев К. С., , in: Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information ScienceVol. 661.: Switzerland: Springer, 2017. P. 353–369.

Nowadays many algorithms for mobile robot mapping in indoor environments have been created. In this work we use a Kinect 2.0 camera, a visible range cameras Beward B2720 and an infrared camera Flir Tau 2 for building 3D dense maps of indoor environments. We present the RGB-D Mapping and a new fusion algorithm combining visual ...

Добавлено: 22 апреля 2017 г.

Morphological analysis for Russian: Integration and comparison of taggers

Кузьменко Е. А., , in: Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information ScienceVol. 661.: Switzerland: Springer, 2017. P. 162–161.

In this paper we present a comparison of three morphological taggers for Russian with regard to the quality of morphological disambiguation performed by these taggers. We test the quality of the analysis in three different ways: lemmatization, POS-tagging and assigning full morphological tags. We analyze the mistakes made by the taggers, outline their strengths and ...

Добавлено: 22 апреля 2017 г.

Vote Aggregation Techniques in the Geo-Wiki Crowdsourcing Game: A Case Study

Бакланов А. П., Fritz S., Khachay M. и др., , in: Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information ScienceVol. 661.: Switzerland: Springer, 2017. P. 41–50.

Добавлено: 23 января 2019 г.

Evaluating Distributional Semantic Models with Russian Noun-Adjective Compositions

Паничева П. В., Protopopova E., Bukia G. и др., , in: Analysis of Images, Social Networks and Texts. 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information ScienceVol. 661.: Switzerland: Springer, 2017. P. 236–247.

Добавлено: 18 февраля 2019 г.

Ключевые слова: natural language processing, data mining, text mining, machine learning, Analysis of Images, social networks analysis

ПУБЛИКАЦИЯ ПОДГОТОВЛЕНА ПО РЕЗУЛЬТАТАМ ПРОЕКТА: Прикладные сетевые исследования в образовании, социологии и менеджменте (2014)