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pro vyhledávání: '"Kouwaye, Bienvenue"'
Autor:
Cottrell, Gilles, Kouwaye, Bienvenue, Pierrat, Charlotte, Port, Agnès Le, Aziz, Bouraïma, Fonton, Noël, Massougbodji, Achille, Corbel, Vincent, Hounkonnou, Mahouton Norbert, Garcia, André
Malaria remains endemic in tropical areas, especially in Africa. For the evaluation of new tools and to further ourunderstanding of host-parasite interactions, knowing the environmental risk of transmission-even at a very local scale-isessential. The
Externí odkaz:
http://arxiv.org/abs/1608.06222
Autor:
Kouwaye, Bienvenue
This paper deals with prediction of anopheles number using environmental and climate variables. The variables selection is performed by an automatic machine learning method based on Lasso and stratified two levels cross validation. Selected variables
Externí odkaz:
http://arxiv.org/abs/1608.01440
Autor:
Kouwayè, Bienvenue
This paper deals with prediction of anopheles number, the main vector of malaria risk, using environmental and climate variables. The variables selection is based on an automatic machine learning method using regression trees, and random forests comb
Externí odkaz:
http://arxiv.org/abs/1606.07578
In life sciences, the experts generally use empirical knowledge to recode variables, choose interactions and perform selection by classical approach. The aim of this work is to perform automatic learning algorithm for variables selection which can le
Externí odkaz:
http://arxiv.org/abs/1511.01284
Publikováno v:
47\`emes Journ\'ees de Statistique de la SFdS, Jun 2015, Lille, France. 2015
In this study, we propose an automatic learning method for variables selection based on Lasso in epidemiology context. One of the aim of this approach is to overcome the pretreatment of experts in medicine and epidemiology on collected data. These pr
Externí odkaz:
http://arxiv.org/abs/1509.02873
Autor:
Kouwaye, Bienvenue1,2,3 Kouwaye2000@yahoo.fr, Rossi, Fabrice1, Fonton, Noël2,3, Garcia, André4,5,6, Dossou-Gbété, Simplice7, Hounkonnou, Mahouton Norbert2, Cottrell, Gilles4,5,6
Publikováno v:
PLoS ONE. 10/31/2017, Vol. 12 Issue 11, p1-14. 14p.
Autor:
Kouwaye, Bienvenue
Publikováno v:
Statistiques [math.ST]. Université d'Abomey-Calavi (Bénin), 2018. Français
The subject of this Thesis is the identification of environmental factors that may explain the variability of anopheline density at village and home scale and the determination malaria risk exposure in the study area. We consider these problems as va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4d074f9f92b119c1397707ae4e3d24eb
https://hal.science/tel-01736933
https://hal.science/tel-01736933
Akademický článek
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Autor:
Kouwaye, Bienvenue
Publikováno v:
Statistiques [math.ST]. Université d'Abomey-Calavi (Bénin), 2018. Français
The subject of this Thesis is the identification of environmental factors that may explain the variability of anopheline density at village and home scale and the determination malaria risk exposure in the study area. We consider these problems as va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::4d074f9f92b119c1397707ae4e3d24eb
https://hal.archives-ouvertes.fr/tel-01736933/document
https://hal.archives-ouvertes.fr/tel-01736933/document
Autor:
Kouwaye, Bienvenue, Fonton, Noël, Rossi, Fabrice, Cottrell, Gilles, Hounkonnou, Norbert Mahouton
Publikováno v:
COPROMATH 2013 Cotonou Bénin. 2016
COPROMATH 2013 Cotonou Bénin; This work deals with prediction of anopheles number using environmental and climate variables. The variables selection is performed by GLMM (Generalized linear mixed model) combined with the Lasso method and simple cros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::58e92689aa5f432b985bb86ab12ec1d7
https://hal.science/hal-01352438
https://hal.science/hal-01352438