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/Papers Conference on Machine Learning, Optimization, and Data Science (LOD 2019), and for inclusion in the proceedings companion to be published on the LOD 2019 web site.
- Late Breaking Papers
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.
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 LOD 2019 web site.
All abstracts must be submitted using EasyChair
Submission deadline: June 4, 2019
Page limit: 2 pages;
Author agreement: by submitting an abstract, the author(s) agree that, if their abstracts is accepted, they will:
- register at least one author to attend the conference (by
June 30, 2019);
- attend the conference (at least one author) and present the accepted abstract at the conference.