Leonardo Franco

	2009
18		Leonardo Franco, David A. Elizondo, José M. Jerez: Constructive Neural Networks Springer 2009
17		Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez: Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. Constructive Neural Networks 2009: 1-23
16		José Luis Subirats, Leonardo Franco, Ignacio Molina, José M. Jerez: Active Learning Using a Constructive Neural Network Algorithm. Constructive Neural Networks 2009: 193-206
15		Iván Gómez, Leonardo Franco, José M. Jerez: Neural Network Architecture Selection: Can Function Complexity Help? Neural Processing Letters 30(2): 71-87 (2009)
	2008
14		José Luis Subirats, Leonardo Franco, Ignacio Molina Conde, José M. Jerez: Active Learning Using a Constructive Neural Network Algorithm. ICANN (2) 2008: 803-811
	2007
13		Leonardo Franco, José Luis Subirats, José M. Jerez: MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set. ICANN (1) 2007: 648-656
12		Leonardo Franco, José Luis Subirats, Ignacio Molina, Emilio Alba, José M. Jerez: Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm. IWANN 2007: 1004-1011
11		Leonardo Franco, Edmund T. Rolls, Nikolaos C. Aggelopoulos, José M. Jerez: Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex. Biological Cybernetics 96(6): 547-560 (2007)
	2006
10		Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez: Neural Network Architecture Selection: Size Depends on Function Complexity. ICANN (1) 2006: 122-129
9		José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco: Optimal Synthesis of Boolean Functions by Threshold Functions. ICANN (1) 2006: 983-992
8		Leonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez: A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. IJCNN 2006: 4791-4796
7		Leonardo Franco, Martin Anthony: The influence of oppositely classified examples on the generalization complexity of Boolean functions. IEEE Transactions on Neural Networks 17(3): 578-590 (2006)
	2005
6		Leonardo Franco, José M. Jerez, Emilio Alba: Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. ESANN 2005: 91-102
5		Leonardo Franco, José M. Jerez, José M. Bravo: Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks. IWANN 2005: 1-8
	2004
4		Edmund T. Rolls, Nikolaos C. Aggelopoulos, Leonardo Franco, Alessandro Treves: Information encoding in the inferior temporal visual cortex: contributions of the firing rates and the correlations between the firing of neurons. Biological Cybernetics 90(1): 19-32 (2004)
	2003
3		José M. Jerez, Leonardo Franco, Ignacio Molina: CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. IWANN (1) 2003: 734-741
	2000
2		Leonardo Franco, Sergio A. Cannas: Generalization and Selection of Examples in Feedforward Neural Networks. Neural Computation 12(10): 2405-2426 (2000)
	1998
1		Leonardo Franco, Sergio A. Cannas: Solving arithmetic problems using feed-forward neural networks. Neurocomputing 18(1-3): 61-79 (1998)

Coauthor Index

1	Nikolaos C. Aggelopoulos	[4] [11]
2	Emilio Alba	[6] [12]
3	Martin Anthony	[7] [8]
4	João Roberto Bertini Jr.	[17]
5	José M. Bravo	[5]
6	Sergio A. Cannas	[1] [2]
7	Ignacio Molina Conde	[14]
8	David A. Elizondo	[17] [18]
9	Iván Gómez	[9] [10] [15]
10	José M. Jerez	[3] [5] [6] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18]
11	Ignacio Molina	[3] [12] [16]
12	Maria do Carmo Nicoletti	[17]
13	Edmund T. Rolls	[4] [11]
14	José Luis Subirats	[8] [9] [10] [12] [13] [14] [16]
15	Alessandro Treves	[4]

Colors in the list of coauthors