Lucas C. Uzal
Lucas C. Uzal
CIFASIS, CONICET, UNR
Verified email at cifasis-conicet.gov.ar
Title
Cited by
Cited by
Year
Deep learning for plant identification using vein morphological patterns
GL Grinblat, LC Uzal, MG Larese, PM Granitto
Computers and Electronics in Agriculture 127, 418-424, 2016
1602016
Toward large-scale vulnerability discovery using machine learning
G Grieco, GL Grinblat, L Uzal, S Rawat, J Feist, L Mounier
Proceedings of the Sixth ACM Conference on Data and Application Security and …, 2016
962016
Solving nonstationary classification problems with coupled support vector machines
GL Grinblat, LC Uzal, HA Ceccatto, PM Granitto
IEEE Transactions on Neural Networks 22 (1), 37-51, 2011
512011
Abrupt change detection with one-class time-adaptive support vector machines
GL Grinblat, LC Uzal, PM Granitto
expert systems with applications 40 (18), 7242-7249, 2013
222013
Optimal reconstruction of dynamical systems: A noise amplification approach
LC Uzal, GL Grinblat, PF Verdes
Physical Review E 84 (1), 016223, 2011
212011
REPMAC: A new hybrid approach to highly imbalanced classification problems
H Ahumada, GL Grinblat, LC Uzal, PM Granitto, A Ceccatto
2008 Eighth International Conference on Hybrid Intelligent Systems, 386-391, 2008
162008
Seed-per-pod estimation for plant breeding using deep learning
LC Uzal, GL Grinblat, R Namías, MG Larese, JS Bianchi, EN Morandi, ...
Computers and electronics in agriculture 150, 196-204, 2018
142018
Class-splitting generative adversarial networks
GL Grinblat, LC Uzal, PM Granitto
arXiv preprint arXiv:1709.07359, 2017
142017
Predictions of the Maximum Amplitude, Time of Occurrence, and Total Length of Solar Cycle 24
LC Uzal, RD Piacentini, PF Verdes
Solar Physics 279 (2), 551-560, 2012
142012
Nonstationary regression with support vector machines
GL Grinblat, LC Uzal, PF Verdes, PM Granitto
Neural Computing and Applications 26 (3), 641-649, 2015
42015
Optimal Irregular Delay Embeddings
LC Uzal, PF Verdes
Dynamics Days South America 2010: International Conference on Chaos and …, 2010
22010
Redes neuronales adversarias para el reconocimiento de malezas
JM Baruffaldi, L Uzal
XX Concurso de Trabajos Estudiantiles-JAIIO 46 (Córdoba, 2017)., 2017
12017
Evaluation of a new hybrid algorithm for highly imbalanced classification problems
H Ahumada, GL Grinblat, LC Uzal, A Ceccatto, PM Granitto
International Journal of Hybrid Intelligent Systems 8 (4), 199-211, 2011
12011
Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images
M Pividori, GL Grinblat, LC Uzal
arXiv preprint arXiv:1911.05630, 2019
2019
Exploiting video sequences for unsupervised disentangling in generative adversarial networks
F Tuesca, LC Uzal
arXiv preprint arXiv:1910.11104, 2019
2019
Semantic analysis on faces using deep neural networks
NF Pellejero, G Grinblat, LC Uzal
Inteligencia Artificial 21 (61), 14-29, 2018
2018
Análisis semántico en rostros utilizando redes neuronales profundas
NF Pellejero, GL Grinblat, LC Uzal
2017
Nonstationary regression with support vector machines
LC Uzal, GL Grinblat, PM Granitto, PF Verdes
Springer, 2014
2014
Predicción de Sistemas Dinámicos con Redes Neuronales Profundas
DG Maino
Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Universidad Nacional …, 2013
2013
Coupling REPMAC with FDA to solve highly imbalanced classification problems
HC Ahumada, GL Grinblat, L Uzal, HA Ceccatto, PM Granitto
XIV Congreso Argentino de Ciencias de la Computación, 2008
2008
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Articles 1–20