Young sciences conference template.
"XXI AllRussian conference of yungsScientists on mathematical modeling and information technologies", Online, 7-10 December 2020.
http://conf.ict.nsc.ru/ym2020/ru/ym2020_prepare_abstract
The preparation of these files was supported by Schlumberger Palo Alto
Research, AT&T Bell Laboratories, and Morgan Kaufmann Publishers.
Shirley Jowell, of Morgan Kaufmann Publishers, and Peter F.
Patel-Schneider, of AT&T Bell Laboratories collaborated on their
preparation. These instructions can be modified and used in other conferences as long
as credit to the authors and supporting agencies is retained, this notice
is not changed, and further modification or reuse is not restricted.
Neither Shirley Jowell nor Peter F. Patel-Schneider can be listed as
contacts for providing assistance without their prior permission.
To use for other conferences, change references to files and the
conference appropriate and use other authors, contacts, publishers, and
organizations.
Also change the deadline and address for returning papers and the length and
page charge instructions.
Put where the files are available in the appropriate places.
This document contains the instructions for preparing a paper submitted to WiNLP 2020. The document itself conforms to its own specifications, and is therefore an example of what your manuscript should look like. These instructions should be used for both papers submitted for review and for final versions of accepted papers. Authors are asked to conform to all the directions reported in this document.
This is a unofficial template to ESANN (European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning) submissions, the project was built using the author guidelines published in: https://www.esann.org/node/5 (accessed in november-2019)
About ESANN: This event builds upon a very successful series of conference organized each year since 1993. ESANN has become a major scientific events in the machine learning, computational intelligence and artificial neural networks fields over the years.