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Machine Learning for Process Monitoring

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.


InstructorDr. Grégoire Montavon
InstitutionDept. of Mathematics and Computer Science
Institute for Computer Science
SemesterWintersemester 2022/2023
Scope of Course
Credit Points5
RoomTakustr. 9 055
StartOct 21, 2022 | 04:00 PM
endFeb 17, 2023 | 06:00 PM

Friday, 4-6 a.m.

Course Details