Francesco Corona

	2011
14		Li Yao, Amaury Lendasse, Francesco Corona: Locating Anomalies Using Bayesian Factorizations and Masks. ESANN 2011
13		Elia Liitiäinen, Francesco Corona, Amaury Lendasse: On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions. Neural Processing Letters 34(2): 133-154 (2011)
	2010
12		Francesco Corona, Michela Mulas, Roberto Baratti, Jose A. Romagnoli: On the topological modeling and analysis of industrial process data using the SOM. Computers & Chemical Engineering 34(12): 2022-2032 (2010)
11		Elia Liitiäinen, Francesco Corona, Amaury Lendasse: Residual variance estimation using a nearest neighbor statistic. J. Multivariate Analysis 101(4): 811-823 (2010)
10		Elia Liitiäinen, Amaury Lendasse, Francesco Corona: A boundary corrected expansion of the moments of nearest neighbor distributions. Random Struct. Algorithms 37(2): 223-247 (2010)
	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

Coauthor Index

1	Roberto Baratti	[7] [12]
2	Emil Eirola	[6]
3	Jin Hao	[1]
4	Amaury Lendasse	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [13] [14]
5	Elia Liitiäinen	[2] [3] [4] [6] [7] [8] [10] [11] [13]
6	Bertrand Maillet	[9]
7	Stefano Melis	[7]
8	Paul Merlin	[9]
9	Yoan Miche	[9]
10	Michela Mulas	[12]
11	Nima Reyhani	[1]
12	Jose A. Romagnoli	[12]
13	Lorenzo Sassu	[7]
14	Eric Séverin	[9]
15	Antti Sorjamaa	[9]
16	Michel Verleysen	[1] [6] [8]
17	Li Yao	[14]

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