 | 2009 |
|---|
| 9 |       | Antti Sorjamaa,
Francesco Corona,
Yoan Miche,
Paul Merlin,
Bertrand Maillet,
Eric Séverin,
Amaury Lendasse:
Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database.
WSOM 2009: 290-297 |
| 8 | | Elia Liitiäinen,
Michel Verleysen,
Francesco Corona,
Amaury Lendasse:
Residual variance estimation in machine learning.
Neurocomputing 72(16-18): 3692-3703 (2009) |
| 7 | | Francesco Corona,
Elia Liitiäinen,
Amaury Lendasse,
Lorenzo Sassu,
Stefano Melis,
Roberto Baratti:
A SOM-based approach to estimating product properties from spectroscopic measurements.
Neurocomputing 73(1-3): 71-79 (2009) |
| 2008 |
|---|
| 6 | | Emil Eirola,
Elia Liitiäinen,
Amaury Lendasse,
Francesco Corona,
Michel Verleysen:
Using the Delta Test for Variable Selection.
ESANN 2008: 25-30 |
| 5 | | Amaury Lendasse,
Francesco Corona:
Linear Projection based on Noise Variance Estimation - Application to Spectral Data.
ESANN 2008: 457-462 |
| 4 | | Elia Liitiäinen,
Francesco Corona,
Amaury Lendasse:
On Nonparametric Residual Variance Estimation.
Neural Processing Letters 28(3): 155-167 (2008) |
| 2007 |
|---|
| 3 | | Elia Liitiäinen,
Francesco Corona,
Amaury Lendasse:
Nearest Neighbor Distributions and Noise Variance Estimation.
ESANN 2007: 67-72 |
| 2 | | Elia Liitiäinen,
Amaury Lendasse,
Francesco Corona:
Non-parametric Residual Variance Estimation in Supervised Learning.
IWANN 2007: 63-71 |
| 2006 |
|---|
| 1 | | Amaury Lendasse,
Francesco Corona,
Jin Hao,
Nima Reyhani,
Michel Verleysen:
Determination of the Mahalanobis matrix using nonparametric noise estimations.
ESANN 2006: 227-232 |
