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Pierre Geurts

Showing results (1-10 of 37) with videos related to

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BMC Cell Biology|August 23, 2007
Random subwindows and extremely randomized trees for image classification in cell biologyRaphaël Marée, Pierre Geurts, Louis Wehenkel
Molecular Biosystems|December 22, 2009
Supervised learning with decision tree-based methods in computational and systems biologyPierre Geurts, Alexandre Irrthum, Louis Wehenkel
Frontiers in Genetics|December 19, 2013
On protocols and measures for the validation of supervised methods for the inference of biological networksMarie Schrynemackers, Robert Küffner, Pierre Geurts
Frontiers in Genetics|July 19, 2019
A Random Forests Framework for Modeling Haplotypes as Mosaics of Reference HaplotypesPierre Faux, Pierre Geurts, Tom Druet
Scientific Reports|February 23, 2018
dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression dataVân Anh Huynh-Thu, Pierre Geurts
Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Unsupervised Gene Network Inference with Decision Trees and Random ForestsVân Anh Huynh-Thu, Pierre Geurts
IEEE Journal of Biomedical and Health Informatics|May 10, 2020
Multi-Task Pre-Training of Deep Neural Networks for Digital PathologyRomain Mormont, Pierre Geurts, Raphael Maree
Plos One|April 4, 2014
Exploiting SNP correlations within random forest for genome-wide association studiesVincent Botta, Gilles Louppe, Pierre Geurts, et al.
Biomolecules|December 23, 2023
Recent Advances in Bioimage Analysis Methods for Detecting Skeletal Deformities in Biomedical and Aquaculture Fish SpeciesNavdeep Kumar, Raphaël Marée, Pierre Geurts, et al.
Molecular Biosystems|May 27, 2015
Classifying pairs with trees for supervised biological network inferenceMarie Schrynemackers, Louis Wehenkel, M Madan Babu, et al.
Pageof 4

Showing results (1-10 of 37) with videos related to

Sort By:
Pageof 4
BMC Cell Biology|August 23, 2007
Random subwindows and extremely randomized trees for image classification in cell biologyRaphaël Marée, Pierre Geurts, Louis Wehenkel
Molecular Biosystems|December 22, 2009
Supervised learning with decision tree-based methods in computational and systems biologyPierre Geurts, Alexandre Irrthum, Louis Wehenkel
Frontiers in Genetics|December 19, 2013
On protocols and measures for the validation of supervised methods for the inference of biological networksMarie Schrynemackers, Robert Küffner, Pierre Geurts
Frontiers in Genetics|July 19, 2019
A Random Forests Framework for Modeling Haplotypes as Mosaics of Reference HaplotypesPierre Faux, Pierre Geurts, Tom Druet
Scientific Reports|February 23, 2018
dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression dataVân Anh Huynh-Thu, Pierre Geurts
Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Unsupervised Gene Network Inference with Decision Trees and Random ForestsVân Anh Huynh-Thu, Pierre Geurts
IEEE Journal of Biomedical and Health Informatics|May 10, 2020
Multi-Task Pre-Training of Deep Neural Networks for Digital PathologyRomain Mormont, Pierre Geurts, Raphael Maree
Plos One|April 4, 2014
Exploiting SNP correlations within random forest for genome-wide association studiesVincent Botta, Gilles Louppe, Pierre Geurts, et al.
Biomolecules|December 23, 2023
Recent Advances in Bioimage Analysis Methods for Detecting Skeletal Deformities in Biomedical and Aquaculture Fish SpeciesNavdeep Kumar, Raphaël Marée, Pierre Geurts, et al.
Molecular Biosystems|May 27, 2015
Classifying pairs with trees for supervised biological network inferenceMarie Schrynemackers, Louis Wehenkel, M Madan Babu, et al.
Pageof 4