Leonardo Franco

Daniel Urda, José Luis Subirats, Pedro J. García-Laencina, Leonardo Franco, José-Luis Sancho-Gómez, José Manuel Jerez: WIMP: Web server tool for missing data imputation. Computer Methods and Programs in Biomedicine 108(3): 1247-1254 (2012)

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)

Juan Jesús Carneros, José M. Jerez, Iván Gómez, Leonardo Franco: Data Discretization Using the Extreme Learning Machine Neural Network. ICONIP (4) 2012: 281-288

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

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)

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)

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

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

Leonardo Franco, David A. Elizondo, José M. Jerez (Eds.): Constructive Neural Networks. Studies in Computational Intelligence 258, Springer 2009, isbn 978-3-642-04511-0

Iván Gómez, Leonardo Franco, José M. Jerez: Neural Network Architecture Selection: Can Function Complexity Help? Neural Processing Letters 30(2): 71-87 (2009)

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

José Luis Subirats, Leonardo Franco, Ignacio Molina, José M. Jerez: Active Learning Using a Constructive Neural Network Algorithm. Constructive Neural Networks 2009: 193-206

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)

José Luis Subirats, Leonardo Franco, Ignacio Molina Conde, José M. Jerez: Active Learning Using a Constructive Neural Network Algorithm. ICANN (2) 2008: 803-811

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)

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

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

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)

Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez: Neural Network Architecture Selection: Size Depends on Function Complexity. ICANN (1) 2006: 122-129

José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco: Optimal Synthesis of Boolean Functions by Threshold Functions. ICANN (1) 2006: 983-992

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

Leonardo Franco, José M. Jerez, Emilio Alba: Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. ESANN 2005: 91-102

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

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)

José M. Jerez, Leonardo Franco, Ignacio Molina: CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. IWANN (1) 2003: 734-741

Leonardo Franco, Sergio A. Cannas: Generalization properties of modular networks: implementing the parity function. IEEE Transactions on Neural Networks 12(6): 1306-1313 (2001)

Leonardo Franco, Sergio A. Cannas: Generalization and Selection of Examples in Feedforward Neural Networks. Neural Computation 12(10): 2405-2426 (2000)

Leonardo Franco, Sergio A. Cannas: Solving arithmetic problems using feed-forward neural networks. Neurocomputing 18(1-3): 61-79 (1998)