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Tree Ensemble Methods and Parcelling to Identify Brain Areas Related to Alzheimer’s Disease
Wehenkel, Marie; Bastin, Christine; Phillips, Christophe et al.
2017In 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), proceedings
Peer reviewed
 

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Keywords :
Machine learning; Tree ensemble; Random forests; Prognosis; Alzheimer's disease; PET images
Research Center/Unit :
GIGA CRC (Cyclotron Research Center) In vivo Imaging-Aging & Memory - ULiège
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Wehenkel, Marie ;  Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Bastin, Christine  ;  Université de Liège > Département des sciences cliniques > Neuroimagerie des troubles de la mémoire et révalid. cogn.
Phillips, Christophe   ;  Université de Liège > Centre de recherches du cyclotron
Geurts, Pierre   ;  Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Algorith. des syst. en interaction avec le monde physique
 These authors have contributed equally to this work.
Language :
English
Title :
Tree Ensemble Methods and Parcelling to Identify Brain Areas Related to Alzheimer’s Disease
Publication date :
June 2017
Event name :
7th International Workshop on Pattern Recognition in Neuroimaging
Event organizer :
University of Toronto
Event place :
Toronto, Canada
Event date :
21-23 June 2017
Audience :
International
Main work title :
2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), proceedings
Publisher :
IEEE
ISBN/EAN :
9781538631607
Peer reviewed :
Peer reviewed
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique
Available on ORBi :
since 15 June 2017

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