| 2008 |
18 | | Ricco Rakotomalala,
Alain Morineau:
The TVpercentprinciple for the counterexamples statistic.
Statistical Implicative Analysis 2008: 449-462 |
| 2006 |
17 | | Ricco Rakotomalala,
Jean-Hugues Chauchat,
François Pellegrino:
Accuracy Estimation With Clustered Dataset.
AusDM 2006: 17-22 |
16 | | Alain Morineau,
Ricco Rakotomalala:
Critère VT100 de sélection des règles d'association.
EGC 2006: 581-592 |
15 | | Ricco Rakotomalala,
Faouzi Mhamdi:
Improved Singular Value Decomposition for Supervised Learning in a High Dimensional Dataset.
PRIS 2006: 38-47 |
14 | | Faouzi Mhamdi,
Ricco Rakotomalala,
Mourad Elloumi:
A Hierarchical n-Grams Extraction Approach for Classification Problem.
SITIS 2006: 211-222 |
| 2005 |
13 | | Ricco Rakotomalala,
Faouzi Mhamdi,
Mourad Elloumi:
Hybrid Feature Ranking for Proteins Classification.
ADMA 2005: 610-617 |
12 | | Faouzi Mhamdi,
Ricco Rakotomalala,
Mourad Elloumi:
Feature Ranking for Protein Classification.
CORES 2005: 611-617 |
11 | | Ricco Rakotomalala:
TANAGRA : un logiciel gratuit pour l'enseignement et la recherche.
EGC 2005: 697-702 |
| 2002 |
10 | | Jean-Hugues Chauchat,
Ricco Rakotomalala,
François Pellegrino:
Estimation du taux d'erreur sur données en grappes - Application à la reconnaissance de la parole.
EGC 2002: 269-280 |
9 | | Fabrice Muhlenbach,
Ricco Rakotomalala:
Multivariate supervised discretization, a neighborhood graph approach.
ICDM 2002: 314-321 |
| 2001 |
8 | | Jean-Hugues Chauchat,
Ricco Rakotomalala:
TQC : un indice d'évaluation de la détection d'événements rares, une application au ciblage en marketing.
EGC 2001: 155-159 |
| 2000 |
7 | | Jean-Hugues Chauchat,
Ricco Rakotomalala,
Didier Robert:
Sampling Strategies for Targeting Rare Groups from a Bank Customer Database.
PKDD 2000: 181-190 |
6 | | Stéphane Lallich,
Ricco Rakotomalala:
Fast Feature Selection Using Partial Correlation for Multi-vaslued Attributes.
PKDD 2000: 221-231 |
5 | | Marc Sebban,
Richard Nock,
Jean-Hugues Chauchat,
Ricco Rakotomalala:
Impact of learning set quality and size on decision tree performances.
Int. J. Comput. Syst. Signal 1(1): 85-105 (2000) |
| 1999 |
4 | | Ricco Rakotomalala,
Stéphane Lallich,
S. Di Palma:
Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept.
PKDD 1999: 510-517 |
| 1998 |
3 | | Djamel A. Zighed,
Sabine Rabaséda,
Ricco Rakotomalala:
FUSINTER: A Method for Discretization of Continuous Attributes.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(3): 307-326 (1998) |
| 1997 |
2 | | Djamel A. Zighed,
Ricco Rakotomalala,
Fabien Feschet:
Optimal Multiple Intervals Discretization of Continuous Attributes for Supervised Learning.
KDD 1997: 295-298 |
| 1996 |
1 | | Sabine Rabaséda,
Ricco Rakotomalala,
Marc Sebban:
A Comparison of Some Contextual Discretization Methods.
Inf. Sci. 92(1-4): 137-157 (1996) |