Analysis of Images, Social Networks and Texts

5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers

  • Dmitry I. Ignatov
  • Mikhail Yu. Khachay
  • Valeri G. Labunets
  • Natalia Loukachevitch
  • Sergey I.  Nikolenko
  • Alexander Panchenko
  • Andrey V. Savchenko
  • Konstantin Vorontsov
Conference proceedings AIST 2016
Part of the Communications in Computer and Information Science book series (CCIS, volume 661)

Table of contents

  1. Front Matter
    Pages I-XXIV
  2. Industry Talks

    1. Front Matter
      Pages 1-1
    2. Denis A. Nikiforov, Alexander B. Korchagin, Ruslan L. Sivakov
      Pages 3-16
    3. Tatiana Prisyach, Valentin Mendelev, Dmitry Ubskiy
      Pages 17-25
    4. Aleksandr Semenov, Peter Romov, Sergey Korolev, Daniil Yashkov, Kirill Neklyudov
      Pages 26-37
  3. Machine Learning and Data Analysis

    1. Front Matter
      Pages 39-39
    2. Artem Baklanov, Steffen Fritz, Michael Khachay, Oleg Nurmukhametov, Carl Salk, Linda See et al.
      Pages 41-50
    3. Anton V. Eremeev, Alexander V. Kel’manov, Artem V. Pyatkin
      Pages 51-57
    4. Alexander L. Kazakov, Anna A. Lempert, Huy L. Nguyen
      Pages 58-68
    5. Aleksei V. Zhukov, Denis N. Sidorov, Aoife M. Foley
      Pages 69-77
  4. Social Networks

    1. Front Matter
      Pages 79-79
    2. Dmitry B. Berg, Rustam H. Davletbaev, Yulia Y. Nazarova, Olga M. Zvereva
      Pages 81-90
    3. Sofia Dokuka, Diliara Valeeva, Maria Yudkevich
      Pages 91-99
    4. Fedor Krasnov, Sofia Dokuka, Rostislav Yavorskiy
      Pages 100-107
    5. Valentina Kuskova, Elena Artyukhova, Rustam Kamalov, Daria Danilova
      Pages 108-117
  5. Natural Language Processing

    1. Front Matter
      Pages 119-119
    2. Arseniy Ashuha, Natalia Loukachevitch
      Pages 121-131
    3. Olga Khomitsevich, Kirill Boyarsky, Eugeny Kanevsky, Anna Bulusheva, Valentin Mendelev
      Pages 145-154
    4. Andrey Kutuzov, Elizaveta Kuzmenko
      Pages 155-161

About these proceedings

Introduction

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.

Keywords

algorithms artificial intelligence classification classifiers clustering crowdsourcing data mining image analysis image processing machine learning Natural Language Processing (NLP) pattern recognition semantic web signal processing social computing social networking social networks speech recognition Support Vector Machines (SVM) text mining

Editors and affiliations

  • Dmitry I. Ignatov
    • 1
  • Mikhail Yu. Khachay
    • 2
  • Valeri G. Labunets
    • 3
  • Natalia Loukachevitch
    • 4
  • Sergey I.  Nikolenko
    • 5
  • Alexander Panchenko
    • 6
  • Andrey V. Savchenko
    • 7
  • Konstantin Vorontsov
    • 8
  1. 1.National Research University Higher School of EconomicsMoscowRussia
  2. 2.Krasovsky Institute of Mathematics and MechanicsYekaterinburgRussia
  3. 3.Ural Federal UniversityYekaterinbugRussia
  4. 4.Research Computing CenterLomonosov Moscow State UniversityMoscowRussia
  5. 5.National Research University Higher School of EconomicsSt. PetersburgRussia
  6. 6.Technische Universität DarmstadtDarmstadtGermany
  7. 7.Laboratory of Algorithms and Technologies for Networks AnalysisNational Research University Higher School of EconomicsNizhny NovgorodRussia
  8. 8.Dorodnicyn Computing Centre of Russian Academy of SciencesMoscowRussia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-52920-2
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-52919-6
  • Online ISBN 978-3-319-52920-2
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937