ECML PKDD Nectar Track: A Platform for Cross-Disciplinary Research

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) is inviting submissions for its Nectar Track. The Nectar Track aims to provide a compact overview of recent scientific advances at the intersection of machine learning, data mining, and other disciplines. It offers a platform for researchers from other fields to present their work to the ECML-PKDD community and raise awareness of AI and data science results and open problems in their field.

Submissions should be based on published work, not exceeding 4 pages (including references), and clearly indicate the corresponding original publication(s). The relevance of the work in the context of machine learning and data mining should be clearly motivated. Accepted contributions will be presented as oral presentations but will not be included in the conference proceedings.

For more information, visit the ” rel=”nofollow” target=”_blank”>Nectar Track submission page.