AIST-2023: The 11th International Conference on Analysis of Images, Social Networks and Texts American University of Armenia Yerevan, Armenia, September 28-30, 2023

Dear colleagues,

We are excited to invite you to submit a paper to AIST-2023, a scientific conference on Analysis of Images, Social Networks, and Texts. The conference is intended for researchers and practitioners interested in data science focusing on innovative applications of data analysis and machine learning techniques to image processing, analysis of network data, text processing, and other domains, such as economics or geographic information systems.

The conference is intended for computer scientists and practitioners whose research interests are related to data science. The ten previous editions of the AIST conference held in 2012-2021 attracted a significant number of students, researchers, academics, and engineers working on the analysis of images, texts, and social networks. The broad scope of AIST makes it an event where researchers from different domains, exploiting various data analysis techniques, can meet and exchange ideas. The conference allows specialists from different fields to meet each other, present their work, and discuss both theoretical and practical aspects of their data analysis problems. Another important aim of the conference is to stimulate scientists and people from the industry to benefit from the knowledge exchange and identify possible grounds for fruitful collaboration.

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

Submission Guidelines

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

• Full papers describing completed research up to 12 pages of content with references.
• Posters describing 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 Overleaf platform. We encourage you to use the LaTeX template instead of the Word template.

Papers should be submitted through the EasyChair conference management system. 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.

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. However, ArXiv pre-prints are allowed to be submitted.

Tracks

Submission can be made in one of the following tracks chaired by experts in the respective fields:

• Natural Language Processing
• Computer Vision
• Data Analysis and Machine Learning
• Network Analysis
• Theoretical Machine Learning and Optimization

List of Topics

More generally we are encouraging submission on any application of deep learning and data analysis including, 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 and applications
• Optimization problems in complex networks
• Recommendational systems and collaborative technologies
• Semantic web and ontologies
• Social network analysis

Committees

Organizing committee

• Habet Madoyan, American University of Armenia
• Amalya Hambardzumyan, American University of Armenia
• Irina Nikishina, University of Hamburg
• Dmitry Ignatov, Higher School of Economics
• Evgenii Tsymbalov, Apptek
• Alexander Panchenko, Skolkovo Institute of Science and Technology & AIRI

Area chairs

• Natural Language Processing
  • Andrey Kutuzov, University of Oslo
  • Elena Tutubalina, Kazan Federal University & AIRI
• Computer Vision
  • Andrey Savchenko, Higher School of Economics
  • Sergey Zagoruyko, MTS AI
• Data Analysis and Machine Learning
  • Evgenii Tsymbalov, Apptek
  • Maxim Panov, Technology Innovation Institute
• Network Analysis
  • Irina Nikishina, Universität Hamburg
  • Ilya Makarov, Higher School of Economics & AIRI
• Theoretical Machine Learning and Optimization
  • Michael Khachay, Krasovsky Institute of Mathematics and Mechanics
  • Panos Pardalos, University of Florida

Publication

AIST-2023 proceedings will be published in Springer LNCS (Lecture Notes in Computer Science). The companion volume will be published in the satellite series CCIS (Communications in Computer and Information Science).

Venue

The conference continues to travel in a beautiful (and tasty!) region. This year AIST will be held offline in Yerevan, Armenia. More specifically the event is organized with support of Zaven & Sonia Akian College of Science & Engineering, American University of Armenia. Besides the scientific knowledge you will enjoy a good season in Armenia and dive into local culture. The conference will feature representatives of the local data analysis community.

Contact

All questions about submissions should be emailed to org@aistconf.org. See more details about the conference at aistconf.org. Updates about the conference are published on the conference main page, as well as on our Facebook, Instagram and VK groups.