AIST’2019. The 8th Conference On Analysis Of Images, Social Networks, And Texts (Call for papers)

 

screenshot-2019-04-04-at-14-12-08СALL FOR PAPERS 

AIST is a scientific conference on Analysis of Images, Social Networks, and Texts. The conference is intended for computer scientists and practitioners whose research interests involve Internet mathematics and other related fields of data science.

Similarly to the previous year, the conference will be particularly focused on innovative applications of data mining and machine learning techniques to image processing, analysis of social networks, text processing and other domains, such as economics or geo information systems.

Researchers are welcome to submit papers covering but not limited to the following topics:

  • Analysis of images and video
  • Analytics for geoinformation systems
  • Computational linguistics
  • Core data mining and machine learning techniques
  • Discovering and analyzing processes using event data
  • Deep learning applications
  • Educational data mining
  • Game analytics
  • Machine learning and data mining for economics and social sciences 
  • Natural language processing (NLP) and applications
  • Optimization Problems in Complex Networks
  • Recommender systems and collaborative technologies
  • Semantic web and ontologies
  • Social network analysis
IMPORTANT DATES 
  • Submission of abstracts: April 19, 2019
  • Deadline for papers: April 26, 2019
  • Notification of acceptance: May 31, 2019
  • The conference: July 17 – 19, 2019
STEERING COMMITTEE

Rostislav Yavorskiy (Surgut State University, Higher School of Economics, Russia)
Dmitry Ignatov (Higher School of Economics, Russia)
Mikhail Khachay (IMM UB RAS & Ural Federal University, Russia)
Alexander Panchenko (University of Hamburg, Germany)
Andrey Savchenko (National Research University Higher School of Economics, Nizhny Novgorod, Russia)

PROCEEDINGS 

Similarly to the previous years, the conference proceedings will be published in the Springer’s in Lecture Notes in Computer Science (LNCS) series.

If you did not participate before in the AIST conference you can take a look at the proceedings of the last three years to get an idea about what kind of papers are accepted and what kind of topics are discussed at the conference. Proceeding of the previous years can be found below:

SUBMISSION 

Please submit here.

All papers must be original and not simultaneously submitted to another journal or conference.  The following paper categories are welcome:

  • Full papers describing a completed research up to 12 pages of content with references.
  • Short papers describing an ongoing research up to 6 pages of content with references.

The papers must be formatted according to the Springer LNCS style. LaTeX template of the Springer LNCS is available at ShareLaTeX platform. We encourage you to use LaTeX template instead of Word template.

Papers should be submitted through the EasyChair conference management system (see the submission link above). Submitted papers should be written in English and provide sufficient detail to allow the Program Committee to assess the merits of the paper on the basis of technical quality, relevance to the conference topics, originality, significance, and clarity of presentation. Papers in the Russian language are not currently accepted. 

The program committee expects that authors are ready to submit high-quality research papers. We also require at least one of the authors to attend the conference to present their study. Papers should present original work previously not published or concurrently submitted to another conference or journal.

Each paper will be reviewed by at least three PC members. To ensure a fair assessment of the submissions, the review will be double-blind, so you need to make your paper anonymous (remove links to your personal pages, acknowledgments, affiliations, etc.). Your work will be rejected in case you did not anonymize properly your paper.

Please share this information with your colleagues and students :)

Yours,
AIST 2019 Org Committee

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