papers
Publications (8)
cs.NI2012
DMFSGD: A Decentralized Matrix Factorization Algorithm for Network Distance Prediction
Yongjun Liao, Wei Du, Pierre Geurts +1
q-bio.MN2014
Bridging physiological and evolutionary time scales in a gene regulatory network
Gwenaëlle Marchand, Vân Anh Huynh-Thu, Nolan Kane +9
stat.ML2017
Random Subspace with Trees for Feature Selection Under Memory Constraints
Antonio Sutera, Célia Châtel, Gilles Louppe +2
q-bio.NC2014
Cerebral functional connectivity periodically (de)synchronizes with anatomical constraints
Raphaël Liégeois, Erik Ziegler, Pierre Geurts +7
stat.ML2016
Context-dependent feature analysis with random forests
Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu +2
stat.ML2018
Deep Quality-Value (DQV) Learning
Matthia Sabatelli, Gilles Louppe, Pierre Geurts +1
stat.ML2019
Gradient tree boosting with random output projections for multi-label classification and multi-output regression
Arnaud Joly, Louis Wehenkel, Pierre Geurts
cs.LG2014
Classifying pairs with trees for supervised biological network inference
Marie Schrynemackers, Louis Wehenkel, M. Madan Babu +1