Lucas C. Uzal

According to our database, Lucas C. Uzal authored at least 12 papers between 2008 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2020

WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks.

Javier Cremona, Lucas C. Uzal, Taihú Pire

CoRR, 2020

2019

Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images.

Marcos Pividori, Guillermo L. Grinblat, Lucas C. Uzal

CoRR, 2019

Exploiting video sequences for unsupervised disentangling in generative adversarial networks.

Facundo Tuesca, Lucas C. Uzal

CoRR, 2019

2018

Seed-per-pod estimation for plant breeding using deep learning.

Lucas C. Uzal, Guillermo L. Grinblat, Rafael Namías, Mónica G. Larese, Stefano Bianchi, Eligio N. Morandi, Pablo M. Granitto

Comput. Electron. Agric., 2018

2017

Class-Splitting Generative Adversarial Networks.

Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto

CoRR, 2017

2016

Deep learning for plant identification using vein morphological patterns.

Guillermo L. Grinblat, Lucas C. Uzal, Mónica G. Larese, Pablo M. Granitto

Comput. Electron. Agric., 2016

Toward Large-Scale Vulnerability Discovery using Machine Learning.

Gustavo Grieco, Guillermo Luis Grinblat, Lucas C. Uzal, Sanjay Rawat, Josselin Feist, Laurent Mounier

Proceedings of the Sixth ACM on Conference on Data and Application Security and Privacy, 2016

2015

Nonstationary regression with support vector machines.

Guillermo L. Grinblat, Lucas C. Uzal, Pablo F. Verdes, Pablo M. Granitto

Neural Comput. Appl., 2015

2013

Abrupt change detection with One-Class Time-Adaptive Support Vector Machines.

Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto

Expert Syst. Appl., 2013

2011

Solving Nonstationary Classification Problems With Coupled Support Vector Machines.

Guillermo L. Grinblat, Lucas C. Uzal, H. Alejandro Ceccatto, Pablo M. Granitto

IEEE Trans. Neural Networks, 2011

Evaluation of a new hybrid algorithm for highly imbalanced classification problems.

Hernán Ahumada, Guillermo L. Grinblat, Lucas C. Uzal, H. Alejandro Ceccatto, Pablo M. Granitto

Int. J. Hybrid Intell. Syst., 2011

2008

REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems.

Hernán Ahumada, Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto, H. Alejandro Ceccatto

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008