Leonardo Franco

	2012
26		José Luis Subirats, Leonardo Franco, José M. Jerez: C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons. Neural Networks 26: 130-140 (2012)
	2011
25		Yasel Couce, Leonardo Franco, Daniel Urda, José Luis Subirats, José M. Jerez: Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems. IWANN (2) 2011: 202-209
	2010
24		Daniel Urda, José Luis Subirats, Leonardo Franco, José Manuel Jerez: Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles. IEA/AIE (1) 2010: 317-326
23		Iván Gómez, Leonardo Franco, José M. Jerez, José Luis Subirats: Extension of the Generalization Complexity Measure to Real Valued Input Data Sets. ISNN (1) 2010: 86-94
22		José M. Jerez, Ignacio Molina, Pedro J. García-Laencina, Emilio Alba, Nuria Ribelles, Miguel Martín, Leonardo Franco: Missing data imputation using statistical and machine learning methods in a real breast cancer problem. Artificial Intelligence in Medicine 50(2): 105-115 (2010)
21		José Luis Subirats, José M. Jerez, Iván Gómez, Leonardo Franco: Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm. Cognitive Computation 2(4): 285-290 (2010)
	2009
20		Leonardo Franco, David A. Elizondo, José M. Jerez: Constructive Neural Networks Springer 2009
19		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
18		José Luis Subirats, Leonardo Franco, Ignacio Molina, José M. Jerez: Active Learning Using a Constructive Neural Network Algorithm. Constructive Neural Networks 2009: 193-206
17		Iván Gómez, Leonardo Franco, José M. Jerez: Neural Network Architecture Selection: Can Function Complexity Help? Neural Processing Letters 30(2): 71-87 (2009)
	2008
16		José Luis Subirats, Leonardo Franco, Ignacio Molina Conde, José M. Jerez: Active Learning Using a Constructive Neural Network Algorithm. ICANN (2) 2008: 803-811
15		José Luis Subirats, José M. Jerez, Leonardo Franco: A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions. IEEE Trans. on Circuits and Systems 55-I(10): 3188-3196 (2008)
	2007
14		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
13		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
12		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
11		Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez: Neural Network Architecture Selection: Size Depends on Function Complexity. ICANN (1) 2006: 122-129
10		José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco: Optimal Synthesis of Boolean Functions by Threshold Functions. ICANN (1) 2006: 983-992
9		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
8		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
7		Leonardo Franco, José M. Jerez, Emilio Alba: Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. ESANN 2005: 91-102
6		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
5		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
4		José M. Jerez, Leonardo Franco, Ignacio Molina: CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. IWANN (1) 2003: 734-741
	2001
3		Leonardo Franco, Sergio A. Cannas: Generalization properties of modular networks: implementing the parity function. IEEE Transactions on Neural Networks 12(6): 1306-1313 (2001)
	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	[5] [12]
2	Emilio Alba	[7] [13] [22]
3	Martin Anthony	[8] [9]
4	João Roberto Bertini Jr.	[19]
5	José M. Bravo	[6]
6	Sergio A. Cannas	[1] [2] [3]
7	Ignacio Molina Conde	[16]
8	Yasel Couce	[25]
9	David A. Elizondo	[19] [20]
10	Pedro J. García-Laencina	[22]
11	Iván Gómez	[10] [11] [17] [21] [23]
12	José M. Jerez (José Manuel Jerez)	[4] [6] [7] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26]
13	Miguel Martín	[22]
14	Ignacio Molina	[4] [13] [18] [22]
15	Maria do Carmo Nicoletti	[19]
16	Nuria Ribelles	[22]
17	Edmund T. Rolls	[5] [12]
18	José Luis Subirats	[9] [10] [11] [13] [14] [15] [16] [18] [21] [23] [24] [25] [26]
19	Alessandro Treves	[5]
20	Daniel Urda	[24] [25]

Colors in the list of coauthors

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