Submissions (ISIPTA)

Submitting a paper to ISIPTA ’17 (submission track closed)

jmlr Accepted papers will be published electronically in the volume 62 of the Proceedings of Machine Learning Research. Each submission will be reviewed by peers using a single-blind process (only the reviewers are anonymous). There will be no rebuttal phase, but contributions considered worth publishing and needing substantial revision might be subject to a second round of reviewing/evaluation. All accepted papers will be presented at the conference. At least one of the paper’s authors should register and attend the workshop to present the work.

Submitting a poster to ISIPTA ’17 (submission track open)

Besides submitting a full paper, there is also the option of taking part in the poster-only track. This track provides a second, free-format presentation option that allows for the presentation of preliminary work, open problems, challenges, etc. Poster submissions will be reviewed on the basis of a one-page abstract; the actual poster should not be submitted in advance. Authors of accepted posters will have the opportunity to advertise their poster in a spotlight plenary presentation. The abstract will not be published in the proceedings; it will be made available on the conference website together with the poster.

Important Dates

  • Feb 21, 2017: Paper submssion deadline
  • Mar 3, 2017: Extended paper submission deadline
  • Apr 18, 2017: Author notification for papers
  • May 2, 2017: Camera-ready copy due
  • May 5, 2017: Poster abstract submission deadline
  • May 12, 2017: Author notification for posters

Easychair and Author Kit

Papers and poster abstracts must be submitted electronically through Easychair. Download the author kit and a sample file for papers or posters. Papers should not be longer than 12 pages, references included. The abstracts of the posters should not be longer than one page.

IJAR Special Issue

IJAR-logo After the conference, a special issue with a selection of the accepted papers will be published in an expanded version in the International Journal of Approximate Reasoning.