| 2007 |
|---|
| 13 | EE | Alain Rakotomamonjy,
Francis Bach,
Stéphane Canu,
Yves Grandvalet:
More efficiency in multiple kernel learning.
ICML 2007: 775-782 |
| 12 | EE | Alain Rakotomamonjy:
Analysis of SVM regression bounds for variable ranking.
Neurocomputing 70(7-9): 1489-1501 (2007) |
| 2006 |
|---|
| 11 | EE | F. Suard,
Alain Rakotomamonjy,
Abdelaziz Bensrhair:
Object Categorization Using Kernels Combining Graphs and Histograms of Gradients.
ICIAR (2) 2006: 23-34 |
| 10 | EE | Vincent Guigue,
Alain Rakotomamonjy,
Stéphane Canu:
Translation-invariant classification of non-stationary signals.
Neurocomputing 69(7-9): 743-753 (2006) |
| 2005 |
|---|
| 9 | | Vincent Guigue,
Alain Rakotomamonjy,
Stéphane Canu:
Kernel Basis Pursuit.
CAP 2005: 93-106 |
| 8 | EE | Vincent Guigue,
Alain Rakotomamonjy,
Stéphane Canu:
Kernel Basis Pursuit.
ECML 2005: 146-157 |
| 7 | EE | Vincent Guigue,
Alain Rakotomamonjy,
Stéphane Canu:
Translation invariant classification of non-stationary signals.
ESANN 2005: 473-478 |
| 6 | EE | Alain Rakotomamonjy,
Vincent Guigue,
G. Mallet,
V. Alvarado:
Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances.
ICANN (1) 2005: 45-50 |
| 5 | EE | Sébastien Chabrier,
Christophe Rosenberger,
Hélène Laurent,
Alain Rakotomamonjy:
Segmentation Evaluation Using a Support Vector Machine.
ICAPR (1) 2005: 426-435 |
| 4 | EE | Alain Rakotomamonjy,
Stéphane Canu:
Frames, Reproducing Kernels, Regularization and Learning.
Journal of Machine Learning Research 6: 1485-1515 (2005) |
| 2004 |
|---|
| 3 | | Alain Rakotomamonjy:
Optimizing Area Under Roc Curve with SVMs.
ROCAI 2004: 71-80 |
| 2003 |
|---|
| 2 | EE | Alain Rakotomamonjy:
Variable Selection Using SVM-based Criteria.
Journal of Machine Learning Research 3: 1357-1370 (2003) |
| 2002 |
|---|
| 1 | EE | Alain Rakotomamonjy,
Stéphane Canu:
Frame Kernels for Learning.
ICANN 2002: 707-712 |
