This AAAI spring symposium focuses on approaches for learning models that estimate survival measures from “survival datasets”, which include censored instances. The main objective of this symposium is to push the state-of-the-art in survival prediction algorithms and address fundamental issues that hinder their applicability for solving complex real-world problems. We anticipate this will foster interdisciplinary collaborations and create new research directions. For complete information on the symposium themes please click here.

Important Dates

Paper Submission Deadline
January 10, 2021
Accept/Reject Notifications
February 14, 2021
Symposium Dates
March 22-24, 2021

Submission Instructions

Authors can submit extended abstracts (4 pages maximum) for
poster sessions or full papers (6 pages maximum, excluding
references) for position, review and work-in-progress pieces.
Papers with previously published results will be considered.
Format submissions according to the AAAI template and
submit through EasyChair site. Program committee will review
the submissions and accepted papers will be published on the
open-access proceedings site, CEUR-WS. The submissions are
NOT double blind.

Organizers

Russ Greiner
University of Alberta
Neeraj Kumar
University of Alberta
Thomas A. Gerds
University of Copenhagen
Mihaela van der Schaar
University of Cambridge