ECML PKDD Nectar Track: Showcasing Recent Advances in Machine Learning and Data Mining

The ECML PKDD Nectar Track is now open for participation! This track offers a compact overview of recent scientific advances at the intersection of machine learning, data mining, and other disciplines. It’s an opportunity 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, up to 4 pages in length, and should clearly motivate the relevance of the work in the context of machine learning and data mining. The deadline for paper submissions is July 22, 2024, with author notifications on August 12, 2024. Learn more and submit your paper at https://cmt3.research.microsoft.com/ECMLPKDD2024.