BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:AMLD 2021 Workshop – Fraud detection with unsupervised ML
DTSTART:20210929T090000
DTEND:20210929T130000
DTSTAMP:20260929T061223Z
UID:53b681398cc72d90bd3bb1e0bc0b7e1bc015b724ddf81a4b7ccb1fe5
CATEGORIES:Conferences - Seminars
DESCRIPTION:⚠️ A valid COVID certificate must be presented on site t
 o enter the event. ⚠️\n\nIn many fraud- (or general outlier-) detectio
 n situations\, labelled data is not available. We therefore need to resort
  to unsupervised methods to identify points that are somehow untypical. In
  this workshop\, a short introduction will be given that discusses the mai
 n outlier detection methods (from the classic LOF to modern algorithms suc
 h as Isolation Forest\, Autoencoders and Adversarial networks) and appropr
 iate metrics for highly imbalanced datasets.\nThen\, participants will be 
 given unlabelled datasets to make predictions on. Scores will be compared 
 on a leader board\, with the emphasis on comparing techniques.
LOCATION:STCC
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR