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Ph.D. student Jonathan Crabbé explains the importance of machine learning interpretability and explainability, and outlines some key challenges in and beyond healthcare. Jonathan then focuses on the problem of feature importance, and introduces Dynamask, a parsimonious approach for feature importance in the time series setting.

Learn more about this event and the lab's research: https://www.vanderschaar-lab.com/open...

The lab's publications are here: https://www.vanderschaar-lab.com/publ...
Mihaela van der Schaar on Twitter:   / mihaelavds  
Mihaela van der Schaar on LinkedIn:   / mihaela-van-der-schaar  

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