19333511
Seminar
WiSe 22/23: Seminar: Machine Learning for Process Monitoring
Grégoire Montavon
Comments
Numerous real-world processes require close monitoring by humans and machine learning (ML) models in order to verify calibration/stability and detect potential shifts/anomalies. The real-time nature of such tasks brings unique challenges from a ML perspective. This seminar will explore relevant ML aspects such as online learning, real-time data visualization, and energy efficiency. Use cases in manufacturing and intensive care will be covered.
Students will select a few papers from a pool of thematically relevant research papers, which they will read and present over the course of the semester.
close16 Class schedule
Regular appointments
Fri, 2022-10-21 16:00 - 18:00
Fri, 2022-10-28 16:00 - 18:00
Fri, 2022-11-04 16:00 - 18:00
Fri, 2022-11-11 16:00 - 18:00
Fri, 2022-11-18 16:00 - 18:00
Fri, 2022-11-25 16:00 - 18:00
Fri, 2022-12-02 16:00 - 18:00
Fri, 2022-12-09 16:00 - 18:00
Fri, 2022-12-16 16:00 - 18:00
Fri, 2023-01-06 16:00 - 18:00
Fri, 2023-01-13 16:00 - 18:00
Fri, 2023-01-20 16:00 - 18:00
Fri, 2023-01-27 16:00 - 18:00
Fri, 2023-02-03 16:00 - 18:00
Fri, 2023-02-10 16:00 - 18:00
Fri, 2023-02-17 16:00 - 18:00