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Lucas C. Uzal
Lucas C. Uzal
CIFASIS, CONICET, UNR
cifasis-conicet.gov.ar의 이메일 확인됨
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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
6842016
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
3112016
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
1302018
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
612011
Class-splitting generative adversarial networks
GL Grinblat, LC Uzal, PM Granitto
arXiv preprint arXiv:1709.07359, 2017
462017
Optimal reconstruction of dynamical systems: A noise amplification approach
LC Uzal, GL Grinblat, PF Verdes
Physical Review E 84 (1), 016223, 2011
432011
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
312013
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
222008
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
172012
Nonstationary regression with support vector machines
GL Grinblat, LC Uzal, PF Verdes, PM Granitto
Neural Computing and Applications 26 (3), 641-649, 2015
152015
WGANVO: monocular visual odometry based on generative adversarial networks
J Cremona, L Uzal, T Pire
arXiv preprint arXiv:2007.13704, 2020
82020
Redes neuronales adversarias para el reconocimiento de malezas
JM Baruffaldi, L Uzal
XX Concurso de Trabajos Estudiantiles-JAIIO 46 (Córdoba, 2017)., 2017
52017
Análisis semántico en rostros utilizando redes neuronales profundas
NF Pellejero, GL Grinblat, LC Uzal
52017
Exploiting gan internal capacity for high-quality reconstruction of natural images
M Pividori, GL Grinblat, LC Uzal
arXiv preprint arXiv:1911.05630, 2019
42019
Semantic analysis on faces using deep neural networks
NF Pellejero, G Grinblat, LC Uzal
Inteligencia Artificial 21 (61), 14-29, 2018
32018
WGANVO: odometría visual monocular basada en redes adversarias generativas
JA Cremona, LC Uzal, TAN Pire
Comité Español de Automática, 2021
22021
Optimal Irregular Delay Embeddings
LC Uzal, PF Verdes
Dynamics Days South America 2010: International Conference on Chaos and …, 2010
22010
Predicción de Sistemas Dinámicos con Redes Neuronales Profundas
DG Maino
Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Universidad Nacional …, 2013
12013
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 video sequences for unsupervised disentangling in generative adversarial networks
F Tuesca, LC Uzal
arXiv preprint arXiv:1910.11104, 2019
2019
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