Vân Anh Huynh-Thu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 10

Top Topics

Top Venues

Publications

Vân Anh Huynh-Thu, Pierre Geurts
Optimizing model-agnostic random subspace ensembles. Mach. Learn. 113 (2) (2024)
Yann Claes, Vân Anh Huynh-Thu, Pierre Geurts
Knowledge-Guided Additive Modeling For Supervised Regression. CoRR (2023)
Yann Claes, Vân Anh Huynh-Thu, Pierre Geurts
Knowledge-Guided Additive Modeling for Supervised Regression. DS (2023)
Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts
From global to local MDI variable importances for random forests and when they are Shapley values. NeurIPS (2021)
Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts
From global to local MDI variable importances for random forests and when they are Shapley values. CoRR (2021)
Vân Anh Huynh-Thu, Pierre Geurts
Optimizing model-agnostic Random Subspace ensembles. CoRR (2021)
Nicolas Vecoven, Jean-Michel Begon, Antonio Sutera, Pierre Geurts, Vân Anh Huynh-Thu
Nets Versus Trees for Feature Ranking and Gene Network Inference. DS (2020)
Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts
Context-dependent feature analysis with random forests. UAI (2016)
Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts
Context-dependent feature analysis with random forests. CoRR (2016)
Vân Anh Huynh-Thu, Guido Sanguinetti
Combining tree-based and dynamical systems for the inference of gene regulatory networks. Bioinform. 31 (10) (2015)
Vân Anh Huynh-Thu, Yvan Saeys, Louis Wehenkel, Pierre Geurts
Statistical interpretation of machine learning-based feature importance scores for biomarker discovery. Bioinform. 28 (13) (2012)
Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts
Exploiting tree-based variable importances to selectively identify relevant variables. FSDM (2008)