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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:AMLD 2021 Workshop – No mercy for manual entry
DTSTART:20210929T130000
DTEND:20210929T170000
DTSTAMP:20260510T164707Z
UID:af4245c317b1a1ef49eae1142d8fcc6b691d9f949077fe2353693fb5
CATEGORIES:Conferences - Seminars
DESCRIPTION:⚠️ A valid COVID certificate must be presented on site t
 o enter the event. ⚠️\n\nMachine Learning (ML) is having a huge impact
  in the automation of tedious and repetitive tasks in several industries. 
 In this workshop\, we take the example of the digitalization of paper docu
 ments to show how standard ML techniques can have a big impact in this con
 text.\n\nMany institutions deal every day with a large number of paper doc
 uments (invoices\, vouchers\, …). These documents are often treated by e
 mployees with a high business knowledge and entered manually in a database
  or in another type of data storage. This is clearly an inefficient way to
  use resources. Therefore\, the automation of this task is a priority to m
 any institutions.\n\nThe goal of this workshop is to show you how ML can b
 e used in the automation of such a process. You will see how to implement 
 algorithms to:\n• Classify scanned documents (using a CNN model implemen
 ted with fastai)\n• Detect the position of a few fields within the docum
 ent (using Detectron2) \n• Extract the information from these fields (u
 sing Tesseract)\n• Use the human feedback to improve the system performa
 nce (human-in-the-loop  or HITL).
LOCATION:STCC
STATUS:CONFIRMED
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