Lucas C. Uzal

Publication Activity (10 Years)

Years Active: 2008-2020
Publications (10 Years): 8

Top Topics

Visual Odometry

Generative Model

Top Venues

Comput. Electron. Agric.

Neural Comput. Appl.

Publications

Javier Cremona, Lucas C. Uzal, Taihú Pire
WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks. CoRR (2020)
Facundo Tuesca, Lucas C. Uzal
Exploiting video sequences for unsupervised disentangling in generative adversarial networks. CoRR (2019)
Marcos Pividori, Guillermo L. Grinblat, Lucas C. Uzal
Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images. CoRR (2019)
Lucas C. Uzal, Guillermo L. Grinblat, Rafael Namías, Mónica G. Larese, Stefano Bianchi, E. N. Morandi, Pablo M. Granitto
Seed-per-pod estimation for plant breeding using deep learning. Comput. Electron. Agric. 150 (2018)
Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto
Class-Splitting Generative Adversarial Networks. CoRR (2017)
Gustavo Grieco, Guillermo Luis Grinblat, Lucas C. Uzal, Sanjay Rawat, Josselin Feist, Laurent Mounier
Toward Large-Scale Vulnerability Discovery using Machine Learning. CODASPY (2016)
Guillermo L. Grinblat, Lucas C. Uzal, Mónica G. Larese, Pablo M. Granitto
Deep learning for plant identification using vein morphological patterns. Comput. Electron. Agric. 127 (2016)
Guillermo L. Grinblat, Lucas C. Uzal, Pablo F. Verdes, Pablo M. Granitto
Nonstationary regression with support vector machines. Neural Comput. Appl. 26 (3) (2015)
Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto
Abrupt change detection with One-Class Time-Adaptive Support Vector Machines. Expert Syst. Appl. 40 (18) (2013)
Guillermo L. Grinblat, Lucas C. Uzal, H. Alejandro Ceccatto, Pablo M. Granitto
Solving Nonstationary Classification Problems With Coupled Support Vector Machines. IEEE Trans. Neural Networks 22 (1) (2011)
Hernán Ahumada, Guillermo L. Grinblat, Lucas C. Uzal, H. Alejandro Ceccatto, Pablo M. Granitto
Evaluation of a new hybrid algorithm for highly imbalanced classification problems. Int. J. Hybrid Intell. Syst. 8 (4) (2011)
Hernán Ahumada, Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto, H. Alejandro Ceccatto
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems. HIS (2008)