Call for proposals: Industry Track
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) includes an Industry Track aiming to bridge the gap between industry stakeholders and academic experts. By presenting interesting problem statements, use cases and breakthrough innovations within the industrial context, the goal is to spark synergies and collaborations.
The industry track is a half-day track, that next to invited speakers, will host submitted proposals on testimonials and problem statements regarding state-of-the-art applications of Machine Learning and Artificial Intelligence in Business or industrial context. This includes, but is not limited to:
- Problem statements and use cases that can drive research questions relevant to the domains within the scope of ECML PKDD.
- Fully functional applications in these domains that demonstrate significant business or industrial impact.
- Solutions or problem statements that advance understanding related to deploying machine learning and AI solutions.
Key dates and deadlines
Submission SiteSubmission Deadline
Apr 26 2024
Author notification
May 27 2024
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Submission instruction
Contact
Call for proposals: Industry Track
Key dates and deadlines
Submission instruction
For submission in this track, we solicit an (extended) abstract of max 4 pages, including title author names and affliations.
Submission link: https://cmt3.research.microsoft.com/ECMLPKDD2024
Contact
For further information, please contact ecml-pkdd-2024-industry-chairs@googlegroups.com
Call for proposals: Industry Track
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) includes an Industry Track aiming to bridge the gap between industry stakeholders and academic experts. By bringing the interesting problems statements, usecases and breakthough innovation in the industrial context, the goal is to spark synergies and collaborations.
The industry track is a half day track, that next to invited speakers, will host submitted proposals on testimonials and problem statements on state-of-the-art applications of Machine Learning and Artificial Intelligence in Business or industrial context. This includes, but is not limited to:
- Problems statements and usecases that can be driving research questions directions relevant to the domains in scope of ECMLPKDD.
- Full functioning application in these domains that demonstrate significant business or industrial impact.
- Solutions or problem statements that advance the understanding related to deploying machine learning and AI solutions.
Key dates and deadlines
Apr 26 2024 Submission Deadline
May 27 2024 Author notification
*All deadlines expire on 23:59 AoE (UTC - 12)
