AIST 2019 : Analysis of Images, Social Networks, and Texts
Call For Papers
We invite you to submit a paper to AIST’19, a scientific conference on Analysis of Images, Social Networks, and Texts. The conference is intended for researchers and practitioners interested in 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 geographic information systems.
The conference is intended for computer scientists and practitioners whose research interests are related to data science. The previous conferences in 2012-2018 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, such as image and text processing, 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.
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:
AIST 2018: Springer Lecture Notes in Computer Science (LNCS) vol. 11179
AIST 2017: Springer Lecture Notes in Computer Science (LNCS) vol. 10716
AIST 2016: Springer Communications in Computer and Information Science (CCIS) vol. 661
AIST 2015: Springer Communications in Computer and Information Science (CCIS) vol. 542
AIST 2014: Springer Communications in Computer and Information Science (CCIS) vol. 436
All papers must be original and not simultaneously submitted to another journal or conference.
Please submit here: https://easychair.org/conferences/?conf=aist2019
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.
Short papers 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 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.
List of Tracks
General Topics of Data Analysis
Analysis of Images and Video
Natural Language Processing
Social Network Analysis
Optimization Problems on Graphs and Networks and their Applications in
Analysis of Dynamic Behavior through Event Data (Process Mining)
List of Topics
Analysis of images and video
Analytics for geoinformation systems
Core data mining and machine learning techniques
Discovering and analyzing processes using event data
Deep learning applications
Educational data mining
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
Program committee chairs
Track 1. General topics of data analysis
Amedeo Napoli (LORIA, France)
Sergey Kuznetsov (Higher School of Economics, Russia)
Track 2. Natural language processing
Natalia Loukachevitch (Moscow State Lomonosov University, Russia)
Andrey Kutuzov (University of Oslo, Oslo, Norway)
Track 3. Social network analysis
Vladimir Batagelj (University of Ljubljana, Ljubljana, Slovenia)
Valentina Kuskova (Higher School of Economics, Russia)
Track 4. Analysis of images and video
Marcello Pelillo (University of Venice, Italy)
Andrey Savchenko (Higher School of Economics, Russia)
Track 5. Optimization Problems on Graphs and Network Structures and their Applications in
Panos M. Pardalos (University of Florida, USA)
Mikhail Khachay (IMM UB RAS & Ural Federal University, Russia)
Track 6. Analysis of dynamic behavior through event data
Wil van der Aalst (Eindhoven University of Technology, The Netherlands)
Irina Lomazova (Higher School of Economics, Russia)
Andrey Novikov (Higher School of Economics) – AIST series Head or Organization
Elena Tutubalina (Kazan Federal University) – AIST 2019 Local Organizing Chair
Ilseyar Alimova (Kazan Federal University)
Yury Dedenev (Kazan Federal University) – Venue organization lead
Ayrat Khasyanov (Kazan Federal University)
Zulfat Miftahutdinov (Kazan Federal University)
Valery Solovyev (Kazan Federal University)
Anna Ukhanaeva (Higher School of Economics) – Participant communications lead
All questions about submissions should be emailed to email@example.com.
Make sure to check updates at the https://aistconf.org/ web site.
National Research University Higher School of Economics