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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Generalization and Personalization of Machine Learning for Multimo
 dal Mobile Sensing in Everyday Life
DTSTART:20240202T173000
DTSTAMP:20260407T045708Z
UID:e0a64144a806eddadf39438e7c07c4a3ebd8da9b6aa15e3301fb9422
CATEGORIES:Thesis defenses
DESCRIPTION:Lakmal Buddika MEEGAHAPOLA\nThesis Director: Prof. D. Gatica-P
 erez\,\nElectrical Engineering doctoral program\nThesis Nr. 10355\n\nTo t
 ake part in the public defense\, please contact directly the speaker
LOCATION:ELA 1 https://plan.epfl.ch/?room==ELA%201
STATUS:CONFIRMED
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END:VCALENDAR
