|
 |
Last update : may 30, 2011, EL.
|
Institut
de Mathématiques de Luminy
| BIBLIOGRAPHIE - Badih GHATTAS |
|
Année
|
Publications
|
Files | Type |
| Boutahar Mohamed, Ghattas Badih, Pommeret Denys. Nonparametric test for detecting change in distribution with panel data. Submitted on March 2011. |
|||
| Fraiman R., Ghattas Badih, Svarc M. Clustering using unsupervised binary trees. Soumis en Décembre 2010. |
|||
| Ghattas Badih, Perera Gonzalo. A resource-restricted learning algorithm for on-line evaluation of non-stationary data. To appear in Statistical Analysis of networks, 2008. |
ACL | ||
| Ghattas Badih, Crisci Carolina, Perera Gonzalo. A review of machine learning algorithms and their application to ecological data. To appear in Publicaciones Matematicas del Uruguay. |
ACLN | ||
| 2011 | Ghattas Badih, Pommeret Denys, Reboul Laurence, Yao Anne-Françoise. Data driven smooth test for paired populations. J. Statist. Plann. Inference 141, no. 1, 262--275, 2011. |
science direct |
ACL |
| 2010 | Ghattas Badih, Deniau Claude. Multivariate unsupervised discretization preserving mutual information. Advances and Applications in Statistics, Volume 19, Issue 1, Pages 49--64, November 2010 |
arXiv | ACL |
| Ghattas Badih, Pommeret Denys, Reboul Laurence, Yao Anne-Françoise. Smooth test for paired populations. Journal of Statistical Planning and Inference, 141, pp. 262--275, 2010. |
ACL | ||
| Ghattas Badih. Bayesian networks over clusters. Technical report, IML, 2010. |
AP | ||
| 2009 | Boutahar Mohamed, Ghattas Badih, Pommeret Denys. Change detection in the distribution between two panels. Technical report, Preprint, 2009. |
AP | |
| Ghattas Badih. Discrétisation Multivariée non supervisée. JDS2009, Bordeaux, 29 Mai 2009. |
ACTI | ||
| 2008 | Pons M., Marroni S., Machado I., Ghattas Badih, Domingo A. Machine Learning procedures: An application to bycatch data of the marine turtles Caretta-Caretta. Statistical Bulletin of ICCAT, 39 :1_13, 2008. |
ACL | |
| Ghattas Badih, Ben Ishak Anis. Sélection de variables pour la classification binaire en grande dimension : comparaisons et application aux données de biopuces. Société Française de Statistique, 149,3 :43–66, 2008. |
ACL | ||
| Ben Ishak A., Delahaye N., Rihet P., Ghattas B. Mice discrimination using feature selection methods. In JOBIM, Marseille, 2008. |
ACTI | ||
Ghattas Badih. |
AP | ||
| Ghattas Badih. Boosting classification trees for multiclass problems. Technical report, IML, 2008. |
AP | ||
| Ghattas Badih, Piccini J., Perera Gonzalo. Bayesian semi-supervised learning. Application to epidemiology and bioinformatics. Technical report, IML, 2008. |
AP | ||
| 2007 | Ghattas Badih, Nerini D. Classifying densities using functional regression trees: Applications in oceanology. Computational Statistics & Data Analysis Volume 51, Issue 10, 15, pages 4984-4993, June 2007. |
ACL | |
| 2006 | Lopez Fabrice, Granjeaud Samuel, Ara Takeshi, Ghattas Badih, Gautheret Daniel. The disparate nature of intergenic polyadenylation sites. RNA, 12: 1794 - 1801, Oct 2006. |
ACL | |
| Ghattas Badih, Perera Gonzalo. From elementary martingale calculus to rigorous properties of mixtures of experts. Bol. Asoc. Mat. Venez. 13, no. 2, 129--154, 2006. |
ACL | ||
| 2005 | Brion D., Calvet J.-C., Le moigne P., Ghattas Badih, Habets F. Reconstitution par arbres de régression du rayonnement visible descendant horaire sur la France continentale, à partir de données in situ et de simulations: spatialisation et vérification sur des données indépendantes. Note N°82 du Centre National de Recherches Météorologiques, décembre 2005. |
||
| 2004 | Ghattas B., Martin D., Thieffry D. Prédire la transcription à partir des séquences génomiques. Médecine/Science 20: 1036-40, 2004. |
|
Thèse |
(Thesis) |
|
| Agrégation d'arbres de décision binaires, application à la prévision de l'ozone dans les Bouches du Rhône. Thèse de doctorat, Université Aix-Marseille II. |
page |
|
|
|
Last update : may 30, 2011, EL.
|