Leonardo Franco Vis

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14EEJosé Luis Subirats, Leonardo Franco, Ignacio Molina Conde, José M. Jerez: Active Learning Using a Constructive Neural Network Algorithm. ICANN (2) 2008: 803-811
13EELeonardo 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
12EELeonardo 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
11EELeonardo 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)
10EEIván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez: Neural Network Architecture Selection: Size Depends on Function Complexity. ICANN (1) 2006: 122-129
9EEJosé Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco: Optimal Synthesis of Boolean Functions by Threshold Functions. ICANN (1) 2006: 983-992
8EELeonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez: A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. IJCNN 2006: 4791-4796
7EELeonardo 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)
6EELeonardo Franco, José M. Jerez, Emilio Alba: Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. ESANN 2005: 91-102
5EELeonardo 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
4EEEdmund 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)
3EEJosé M. Jerez, Leonardo Franco, Ignacio Molina: CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. IWANN (1) 2003: 734-741
2 Leonardo Franco, Sergio A. Cannas: Generalization and Selection of Examples in Feedforward Neural Networks. Neural Computation 12(10): 2405-2426 (2000)
1EELeonardo Franco, Sergio A. Cannas: Solving arithmetic problems using feed-forward neural networks. Neurocomputing 18(1-3): 61-79 (1998)

Coauthor Index

1Nikolaos C. Aggelopoulos [4] [11]
2Emilio Alba [6] [12]
3Martin Anthony [7] [8]
4José M. Bravo [5]
5Sergio A. Cannas [1] [2]
6Ignacio Molina Conde [14]
7Iván Gómez [9] [10]
8José M. Jerez [3] [5] [6] [8] [9] [10] [11] [12] [13] [14]
9Ignacio Molina [3] [12]
10Edmund T. Rolls [4] [11]
11José Luis Subirats [8] [9] [10] [12] [13] [14]
12Alessandro Treves [4]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)