Leonardo Franco
Leonardo Franco
Full Professor - Malaga University - Spain
Verified email at - Homepage
Cited by
Cited by
Missing data imputation using statistical and machine learning methods in a real breast cancer problem
JM Jerez, I Molina, PJ García-Laencina, E Alba, N Ribelles, M Martín, ...
Artificial intelligence in medicine 50 (2), 105-115, 2010
Forward noise adjustment scheme for data augmentation
FJ Moreno-Barea, F Strazzera, JM Jerez, D Urda, L Franco
2018 IEEE symposium series on computational intelligence (SSCI), 728-734, 2018
Object, space, and object-space representations in the primate hippocampus
ET Rolls, J Xiang, L Franco
Journal of neurophysiology 94 (1), 833-844, 2005
Improving classification accuracy using data augmentation on small data sets
FJ Moreno-Barea, JM Jerez, L Franco
Expert Systems with Applications 161, 113696, 2020
Pattern of recurrence of early breast cancer is different according to intrinsic subtype and proliferation index
N Ribelles, L Perez-Villa, JM Jerez, B Pajares, L Vicioso, B Jimenez, ...
Breast Cancer Research 15, 1-16, 2013
Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex
L Franco, ET Rolls, NC Aggelopoulos, JM Jerez
Biological cybernetics 96, 547-560, 2007
Efficient implementation of the backpropagation algorithm in FPGAs and microcontrollers
F Ortega-Zamorano, JM Jerez, DU Munoz, RM Luque-Baena, L Franco
IEEE transactions on neural networks and learning systems 27 (9), 1840-1850, 2015
Object perception in natural scenes: encoding by inferior temporal cortex simultaneously recorded neurons
NC Aggelopoulos, L Franco, ET Rolls
Journal of neurophysiology 93 (3), 1342-1357, 2005
A neural network facial expression recognition system using unsupervised local processing
L Franco, A Treves
ISPA 2001. Proceedings of the 2nd International Symposium on Image and …, 2001
Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data
G Lopez-Garcia, JM Jerez, L Franco, FJ Veredas
PloS one 15 (3), e0230536, 2020
An information theoretic approach to the contributions of the firing rates and the correlations between the firing of neurons
ET Rolls, L Franco, NC Aggelopoulos, S Reece
Journal of neurophysiology 89 (5), 2810-2822, 2003
Layer multiplexing FPGA implementation for deep back-propagation learning
F Ortega-Zamorano, JM Jerez, I Gómez, L Franco
Integrated Computer-Aided Engineering 24 (2), 171-185, 2017
Information encoding in the inferior temporal visual cortex: contributions of the firing rates and the correlations between the firing of neurons
ET Rolls, NC Aggelopoulos, L Franco, A Treves
Biological Cybernetics 90, 19-32, 2004
Improvement of breast cancer relapse prediction in high risk intervals using artificial neural networks
JM Jerez, L Franco, E Alba, A Llombart-Cussac, A Lluch, N Ribelles, ...
Breast cancer research and treatment 94, 265-272, 2005
A new decomposition algorithm for threshold synthesis and generalization of boolean functions
JL Subirats, JM Jerez, L Franco
IEEE Transactions on Circuits and Systems I: Regular Papers 55 (10), 3188-3196, 2008
Prediction of subjective affective state from brain activations
ET Rolls, F Grabenhorst, L Franco
Journal of Neurophysiology 101 (3), 1294-1308, 2009
The use of decoding to analyze the contribution to the information of the correlations between the firing of simultaneously recorded neurons
L Franco, ET Rolls, NC Aggelopoulos, A Treves
Experimental Brain Research 155, 370-384, 2004
Deep learning to analyze RNA-seq gene expression data
D Urda, J Montes-Torres, F Moreno, L Franco, JM Jerez
Advances in Computational Intelligence: 14th International Work-Conference …, 2017
Neural network architecture selection: can function complexity help?
I Gómez, L Franco, JM Jerez
Neural Processing Letters 30, 71-87, 2009
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons
JL Subirats, L Franco, JM Jerez
Neural Networks 26, 130-140, 2012
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