MOD 2017 Submission Instructions – Late-Breaking Abstracts – Deadline: July 15, 2017

Two-page abstracts describing late-breaking developments in the field of Machine Learning, Optimization and Data Science are solicited for presentation at the Late-Breaking Abstracts Workshop of the Machine learning Optimization and big Data (MOD 2017), and for inclusion in the proceedings companion to be published on the MOD 2017 web site.

Presentation Format

Following the success of the last year poster format for Late Breaking Abstracts, authors of the accepted submissions will be asked to prepare a poster summarizing their contributions. The chair will introduce each work at the beginning of the session and attendees will have the opportunity to interact with authors and enjoy a dynamic forum to share and spread scientific ideas. The details about the poster preparation will be sent to the authors of accepted abstracts.

Selection Process

Late-breaking abstracts will be briefly examined for relevance and minimum standards of acceptability, but will not be peer reviewed in detail. Authors of accepted late-breaking abstracts will individually retain copyright (and all other rights) to their late-breaking abstracts. Accepted late breaking abstracts with no author registered by the deadline will not appear in the Late-Breaking Abstracts section on the MOD 2017 web site.

How to Submit an Abstract

  • Submission via
  • Submission deadline: July 15, 2017, 23:59 (Anywhere on Earth)
  • Page limit: 2 pages.
  • Author agreement: By submitting an abstract, the author(s) agree that, if their paper is accepted, they will:
    • Register at least one author to attend the conference (by August 14, 2017)
    • Attend the conference (at least one author) and present the accepted abstract at the conference.

MOD 2017 Submission Instructions – PAPERS

Please prepare your paper in English using the Lecture Notes in Computer Science (LNCS) template, which is available here. Papers must be submitted in PDF.

Types of Submissions

When submitting a paper to MOD 2017, authors are required to select one of the following four types of papers:

  • Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format);
  • Short paper: an extended abstract of novel work (max. 4 pages);
  • Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference;
  • Abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch).

    For research work which is relevant and which may solicit fruitful discussion at the conference.


All accepted long papers  will be published in a volume of the series on Lecture Notes in Computer Science from Springer after the conference. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on.

All the other papers (short papers, abstract of the oral presentations, poster presentations) will be published on the MOD 2017 web site.

Submission System

All papers must be submitted using EasyChair. The link to submit papers is the following:

  • Paper Submission Deadline: May 31, 2017
  • Decision Notification to Authors: July 1, 2017
  • Camera Ready Submission Deadline: July 15, 2017
  • Deadline for early Registration as Presenting Author: July 15, 2017


MOD Conference past editions:

  • MOD 2016 Proceedings, Springer LNCS 10122, Machine Learning, Optimization, and Big Data Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers  Editors: Pardalos, P.M., Conca, P., Giuffrida, G., Nicosia, G. (Eds.).
  • MOD 2015 Proceedings, Springer LNCS 9432, Machine Learning, Optimization, and Big Data First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015.