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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Detecting Latent Training Needs from Digital Traces
DTSTART:20170824T121500
DTEND:20170824T141500
DTSTAMP:20260503T051314Z
UID:13bf3e88835ec1d230629aeaec382466c2eb32e285650cf3c280372e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Fu-Yin Cherng\nEDIC candidacy exam\nExam president: Prof. Karl
  Aberer\nThesis advisor: Prof. Pierre Dillenbour\nThesis coadvisor: Prof. 
 Robert West\nCo-examiner: Prof. Daniel Gatica-Perez\n\nAbstract\n\nBackgro
 und papers\nWhat are developers talking about? an analysis of topics and t
 rends in stack overflow\, by Barua\, Anton\, Stephen W. Thomas\, and Ahmed
  E. Hassan. Empirical Software Engineering 19.3 (2014): 619-654.\nEmerging
  topic detection on twitter based on temporal and social terms evaluation\
 , by Cataldi\, Mario\, Luigi Di Caro\, and Claudio Schifanella. Proceeding
 s of the Tenth International Workshop on Multimedia Data Mining. ACM\, 201
 0.\nThe growing concept and uses of training needs assessment: A review wi
 th proposed model\, by Zahid Iqbal\, Muhammad\, and Rashid Ahmad Khan. Jou
 rnal of European Industrial Training 35.5 (2011): 439-466.\n\n 
LOCATION:INR 113 https://plan.epfl.ch/theme/generalite_thm_plan_public?lan
 g=en&room=inr113&dim_floor=1&dim_lang=en&baselayer_ref=grp_backgrounds&tre
 e_groups=centres_nevralgiques%2Cacces%2Cmobilite_reduite%2Censeigneme
STATUS:CANCELLED
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