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Christine Malot
Christine Malot
Affiliation inconnue
Adresse e-mail validée de unice.fr
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Variable selection using random forests
R Genuer, JM Poggi, C Tuleau-Malot
Pattern recognition letters 31 (14), 2225-2236, 2010
26592010
VSURF: an R package for variable selection using random forests
R Genuer, JM Poggi, C Tuleau-Malot
The R Journal 7 (2), 19-33, 2015
5682015
Random forests for big data
R Genuer, JM Poggi, C Tuleau-Malot, N Villa-Vialaneix
Big Data Research 9, 28-46, 2017
3462017
Inference of functional connectivity in neurosciences via Hawkes processes
P Reynaud-Bouret, V Rivoirard, C Tuleau-Malot
2013 IEEE global conference on signal and information processing, 317-320, 2013
1242013
Goodness-of-fit tests and nonparametric adaptive estimation for spike train analysis
P Reynaud-Bouret, V Rivoirard, F Grammont, C Tuleau-Malot
The Journal of Mathematical Neuroscience 4, 1-41, 2014
1112014
Reconstructing the functional connectivity of multiple spike trains using Hawkes models
RC Lambert, C Tuleau-Malot, T Bessaih, V Rivoirard, Y Bouret, ...
Journal of neuroscience methods 297, 9-21, 2018
592018
Adaptive density estimation: a curse of support?
P Reynaud-Bouret, V Rivoirard, C Tuleau-Malot
Journal of Statistical Planning and Inference 141 (1), 115-139, 2011
562011
VSURF: Variable selection using random forests
R Genuer, JM Poggi, C Tuleau-Malot
R package version 1 (0), 2019
452019
Multiple tests based on a gaussian approximation of the unitary events method with delayed coincidence count
C Tuleau-Malot, A Rouis, F Grammont, P Reynaud-Bouret
Neural computation 26 (7), 1408-1454, 2014
272014
Package ‘vsurf’
R Genuer, JM Poggi, C Tuleau-Malot, MR Genuer
Pattern Recognition Letters 31 (14), 2225-2236, 2019
182019
Variable selection through CART
M Sauvé, C Tuleau-Malot
arXiv preprint arXiv:1101.0689, 2011
122011
Spike trains as (in) homogeneous Poisson processes or Hawkes processes: non-parametric adaptive estimation and goodness-of-fit tests
P Reynaud-Bouret, C Tuleau-Malot, V Rivoirard, F Grammont
Journal of Mathematical Neuroscience 39 (8), 32-33, 2013
112013
A model of Poissonian interactions and detection of dependence
L Sansonnet, C Tuleau-Malot
Statistics and Computing 25, 449-470, 2015
102015
Variable selection through CART∗
M Sauve, C Tuleau-Malot
ESAIM: Probability and Statistics 18, 770-798, 2014
82014
Multiple tests based on a Gaussian approximation of the unitary events method
C Tuleau-Malot, A Rouis, P Reynaud-Bouret, F Grammont
42012
Completeness period analysis of SisFrance macroseismic database and interpretation in the light of historical context
J Bonnet, T Fradet, P Traversa, C Tuleau-Malot, P Reynaud-Bouret, ...
EGU General Assembly Conference Abstracts, 12118, 2014
12014
Sélection de variables par forêts aléatoires
C Tuleau-Malot
2016
Random Forests for Big Data
N Villa-Vialaneix, R Genuer, JM Poggi, C Tuleau-Malot
Journées de Statistique de Rennes (JSTAR), 2016
2016
VSURF: un package R pour la sélection de variables à l'aide de forêts aléatoires
R Genuer, JM Poggi, C Tuleau-Malot
46èmes Journées de Statistique, 2014
2014
Comment les statisticiens peuvent aidera une meilleure compréhension de l’activité neuronale?
F Grammont, P Reynaud-Bouret, A Rouis, C Tuleau-Malot
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