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Analysis of Images, Social Networks and Texts

6th International Conference, AIST 2017, Moscow, Russia, July 27–29, 2017, Revised Selected Papers

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Wil M.P. van der Aalst

    1. Eindhoven University of Technology, Eindhoven, The Netherlands

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  2. Dmitry I. Ignatov

    1. National Research University Higher School of Economics, Moscow, Russia

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  3. Michael Khachay

    1. Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

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  4. Sergei O. Kuznetsov

    1. National Research University Higher School of Economics, Moscow, Russia

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  5. Victor Lempitsky

    1. Skolkovo Institute of Science and Technology, Moscow, Russia

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  6. Irina A. Lomazova

    1. National Research University Higher School of Economics, Moscow, Russia

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  7. Natalia Loukachevitch

    1. Moscow State University, Moscow, Russia

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  8. Amedeo Napoli

    1. LORIA, Campus Scientifique, Vandœuvre lès Nancy, France

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  9. Alexander Panchenko

    1. University of Hamburg, Hamburg, Germany

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  10. Panos M. Pardalos

    1. University of Florida, Gainesville, USA

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  11. Andrey V. Savchenko

    1. National Research University Higher School of Economics, Nizhny Novgorod, Russia

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  12. Stanley Wasserman

    1. Indiana University, Bloomington, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10716)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: AIST 2017.

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Table of contents (38 papers)

  1. Front Matter

    Pages I-XXX
    Download chapter PDF

  2. Natural Language Processing

    1. Front Matter

      Pages 1-1
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    2. Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning

      • Ilseyar Alimova, Elena Tutubalina
      Pages 3-15

    3. Automated Detection of Non-Relevant Posts on the Russian Imageboard “2ch”: Importance of the Choice of Word Representations

      • Amir Bakarov, Olga Gureenkova
      Pages 16-21

    4. A Morphological Processor for Russian with Extended Functionality

      • Elena I. Bolshakova, Alexander S. Sapin
      Pages 22-33

    5. SyntaxNet Errors from the Linguistic Point of View

      • Oleg Durandin, Alexey Malafeev, Nikolai Zolotykh
      Pages 34-46

    6. Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus

      • Andrey Kutuzov, Maria Kunilovskaya
      Pages 47-58

    7. Combining Thesaurus Knowledge and Probabilistic Topic Models

      • Natalia Loukachevitch, Michael Nokel, Kirill Ivanov
      Pages 59-71

    8. Russian-Language Question Classification: A New Typology and First Results

      • Kirill Nikolaev, Alexey Malafeev
      Pages 72-81

    9. Domain Adaptation for Resume Classification Using Convolutional Neural Networks

      • Luiza Sayfullina, Eric Malmi, Yiping Liao, Alexander Jung
      Pages 82-93

    10. Fighting with the Sparsity of Synonymy Dictionaries for Automatic Synset Induction

      • Dmitry Ustalov, Mikhail Chernoskutov, Chris Biemann, Alexander Panchenko
      Pages 94-105

    11. Men Are from Mars, Women Are from Venus: Evaluation and Modelling of Verbal Associations

      • Ekaterina Vylomova, Andrei Shcherbakov, Yuriy Philippovich, Galina Cherkasova
      Pages 106-115

    12. Rotations and Interpretability of Word Embeddings: The Case of the Russian Language

      • Alexey Zobnin
      Pages 116-128

  3. General Topics of Data Analysis

    1. Front Matter

      Pages 129-129
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    2. HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks

      • Roman Chereshnev, Attila Kertész-Farkas
      Pages 131-141

    3. On Finding Maximum Cardinality Subset of Vectors with a Constraint on Normalized Squared Length of Vectors Sum

      • Anton V. Eremeev, Alexander V. Kelmanov, Artem V. Pyatkin, Igor A. Ziegler
      Pages 142-151

    4. Using Cluster Analysis for Characteristics Detection in Software Defect Reports

      • Anna Gromova
      Pages 152-163

    5. A Machine Learning Approach to Enhanced Oil Recovery Prediction

      • Fedor Krasnov, Nikolay Glavnov, Alexander Sitnikov
      Pages 164-171

    6. An Approach to Establishing the Correspondence of Spatial Objects on Heterogeneous Maps Based on Methods of Computational Topology

      • Sergey Eremeev, Kirill Kuptsov, Semyon Romanov
      Pages 172-182

    7. Predicting Winning Team and Probabilistic Ratings in “Dota 2” and “Counter-Strike: Global Offensive” Video Games

      • Ilya Makarov, Dmitry Savostyanov, Boris Litvyakov, Dmitry I. Ignatov
      Pages 183-196
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  1. Analysis of Images, Social Networks and Texts

Keywords

About this book

This book constitutes the proceedings of the 6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017, held in Moscow, Russia, in July 2017.

The 29 full papers and 8 short papers were carefully reviewed and selected from 127 submissions. The papers are organized in topical sections on natural language processing; general topics of data analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behavior through event data; social network analysis.

Editors and Affiliations

  • Eindhoven University of Technology, Eindhoven, The Netherlands

    Wil M.P. van der Aalst

  • National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov, Sergei O. Kuznetsov, Irina A. Lomazova

  • Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

    Michael Khachay

  • Skolkovo Institute of Science and Technology, Moscow, Russia

    Victor Lempitsky

  • Moscow State University, Moscow, Russia

    Natalia Loukachevitch

  • LORIA, Campus Scientifique, Vandœuvre lès Nancy, France

    Amedeo Napoli

  • University of Hamburg, Hamburg, Germany

    Alexander Panchenko

  • University of Florida, Gainesville, USA

    Panos M. Pardalos

  • National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Andrey V. Savchenko

  • Indiana University, Bloomington, USA

    Stanley Wasserman

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