Papers have to be submitted electronically (in PDF format) with using EasyChair abstract submission form


Your papers will be checked by our reviewers. In case your papers contain mistakes you will be asked to correct them and update your abstract.


Papers will be revised during 20 days after submission. You will receive further instructions after successful revision.


The Workshop is soliciting literature review, survey and research papers comments including, whilst not limited to, the following areas of interest:

  • Regression analysis;
  • Deep learning;
  • Gradient Boosted Trees;
  • Support Vector Machines;
  • Bayesian networks;
  • Unsupervised learning for clustering;
  • MCDM Theory;
  • Multiobjective Optimization;
  • Group Decision Making;
  • Multiattribute Utility or Value Theory;
  • Behavioral Issues in Decision Making;
  • Preference Modelling;
  • Applications of MCDM and Optimization.


Papers should be written in English, font Times 11pt. Regular papers should be at least of 11 pages, posters at least of 4 pages.

Authors are requested to follow the CEUR-WS template.

You can download DOCX template here.

The first page should contain the title of the paper, names and addresses of all authors (including e-mail and ORCID), an abstract (100-150 words) and a list of keywords.

Papers must be submitted electronically (in PDF format) using registration form.

Submissions should describe original research. Papers accepted for presentation at MoMLeT&DS Workshop cannot be presented or have been presented at another meeting with publicly available published proceedings. Papers that are being submitted to other conferences must indicate this on the title page, as it must be  stated on papers that contain significant overlap with previously published work.