[Sigwac] Call for Papers: 7th International Conference on Analysis of Images, Social Networks, and Texts (AIST 2018)

[Goran Glavaš]

*Call for Papers*

*AIST'18: The 7th International Conference on Analysis of Images, Social
Networks, and TextsMoscow Polytechnic UniversityMoscow, Russia, July 5-7,
2018*

ABOUT THE CONFERENCE

The conference is intended for computer scientists and practitioners whose
interests are related to data science. The previous conferences (2012-2017)
attracted a significant number of students, researchers, academics and
engineers working on 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 discuss both theoretical and practical
aspects of their data analysis projects. Another aim of the conference is
to stimulate scientists and people from the industry to benefit from the
knowledge exchange.

PROCEEDINGS

Similarly to the previous years, the conference proceedings will be
published in the Springer’s Lecture Notes in Computer Science (LNCS)
series. Proceeding of the AIST 2017 conference can be found at
http://www.springer.com/us/book/9783319730127.

Last year we have received  127 submissions mostly from Russia but also
from Algeria, Australia, Brazil, China, Finland,Germany, India, Iran,
Kazakhstan, Latvia, Mexico, The Netherlands, Norway, Turkey, USA, and
Vietnam. Out of 127 only 37 papers were accepted as regular oral papers as
we strive to high standards of quality. However, the conference also
featured a large poster session comprising presentations of authors who did
not make it into the main volume to encourage young researchers and
preliminary work.

LIST OF TOPICS

Similarly to the previous years, the conference will be focused on
innovative applications of data mining and machine learning techniques to
various problem domains: image processing, analysis of social networks, and
natural language processing. We hope that the participants will benefit
from the interdisciplinary nature of the conference and exchange
experience. Researchers are welcome to submit papers to one of six tracks
(see area chairs of each track below):

Track 1. General topics of data analysis
Track 2. Natural language processing
Track 3. Social network analysis
Track 4. Analysis of images and video
Track 5. Optimization problems on graphs and network structures
Track 6. Analysis of dynamic behavior through event data

We anticipate participants can benefit from interdisciplinary nature of the
conference and exchange experience. Thus, the unique feature of the
conference is its broad field of interest. It is a place where researchers
from different domains, such as image, text processing, event data analysis
can meet and exchange ideas. This is especially relevant today, when
state-of-the-art models, such as deep neural networks, are successfully
used across different fields and applications.

REVIEWING PROCESS

The Program Committee and the reviewers of the conference includes
well-known experts in data mining and machine learning, natural language
processing, image processing, social network analysis, process mining and
related areas from leading institutions. The Programme Committee and the
reviewers of the conference included 167 experts in data mining and machine
learning, natural language processing,image processing, social network
analysis, and related areas from leading institutions of 30 countries
including Argentina, Australia, Austria, Belgium, Brazil, Canada, China,
Croatia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Greece,
Hungary, India, Ireland, Japan, Lithuania, Norway, Portugal, Qatar,
Romania, Russia, Spain, Ukraine, The Netherlands, UK, and USA.

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Best regards,
Prof. Dr. Goran Glavaš
Assistant Professor for Natural Language Processing
Data and Web Science Group
University of Mannheim

Address: Room C1.02; B6, 29, 68159 Mannheim
Web:
http://dws.informatik.uni-mannheim.de/en/people/professors/prof-dr-goran-glavas
Phone: +49 621 181 2663
Mobile: +49 176 361 52 631