Guillermo Luis Grinblat
Guillermo Luis Grinblat
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Cited by
Cited by
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
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
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, 2010
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
Class-splitting generative adversarial networks
GL Grinblat, LC Uzal, PM Granitto
arXiv preprint arXiv:1709.07359, 2017
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
Optimal reconstruction of dynamical systems: A noise amplification approach
LC Uzal, GL Grinblat, PF Verdes
Physical Review E 84 (1), 016223, 2011
SVM based feature selection: why are we using the dual?
GL Grinblat, J Izetta, PM Granitto
Ibero-American Conference on Artificial Intelligence, 413-422, 2010
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
Quantized state simulation of spiking neural networks
GL Grinblat, H Ahumada, E Kofman
Simulation 88 (3), 299-313, 2012
Nonstationary regression with support vector machines
GL Grinblat, LC Uzal, PF Verdes, PM Granitto
Neural Computing and Applications 26 (3), 641-649, 2015
Time–Adaptive Support Vector Machines
G Grinblat, PM Granitto, A Ceccatto
Asociación Española de Inteligencia Artificial, 2008
Análisis semántico en rostros utilizando redes neuronales profundas
N Pellejero, GL Grinblat, L Uzal
XVIII Simposio Argentino de Inteligencia Artificial (ASAI)-JAIIO 46 (Córdoba …, 2017
Extensión de métodos modernos de Aprendizaje Automatizado y aplicaciones
HC Ahumada, AE Bayá, GL Grinblat, CJ Izetta Riera
XIII Workshop de Investigadores en Ciencias de la Computación, 2011
Online Object Detection and Localization on Stereo Visual SLAM System
T Pire, J Corti, G Grinblat
Journal of Intelligent & Robotic Systems 98 (2), 377-386, 2020
Deep Architectures on Drifting Concepts: A Simple Approach
LR Morelli, PM Granitto, GL Grinblat
14th Argentine Symposium on Artificial Intelligence, ASAI 2013, 97-108, 2013
Unsupervized data-driven partitioning of multiclass problems
HC Ahumada, GL Grinblat, PM Granitto
International Conference on Artificial Neural Networks, 117-125, 2011
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
Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images
M Pividori, GL Grinblat, LC Uzal
arXiv preprint arXiv:1911.05630, 2019
Semantic analysis on faces using deep neural networks
NF Pellejero, GL Grinblat, LC Uzal
Asociación Española de Inteligencia Artificial, 2018
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