Guillermo L. Grinblat

Publication Activity (10 Years)

Years Active: 2008-2020
Publications (10 Years): 7

Top Topics

Monocular Camera

Gene Expression

Top Venues

Comput. Electron. Agric.

J. Intell. Robotic Syst.

Neural Comput. Appl.

Publications

Taihú Pire, Javier Corti, Guillermo L. Grinblat
Online Object Detection and Localization on Stereo Visual SLAM System. J. Intell. Robotic Syst. 98 (2) (2020)
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)
Guillermo L. Grinblat, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer
Inferring unknown biological function by integration of GO annotations and gene expression data. CoRR (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, Hernán Ahumada, Ernesto Kofman
Quantized state simulation of spiking neural networks. Simul. 88 (3) (2012)
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, Pablo M. Granitto
Unsupervized Data-Driven Partitioning of Multiclass Problems. ICANN (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)
Guillermo L. Grinblat, Javier Izetta, Pablo M. Granitto
SVM Based Feature Selection: Why Are We Using the Dual? IBERAMIA (2010)
Guillermo L. Grinblat, Pablo M. Granitto, H. Alejandro Ceccatto
Time-Adaptive Support Vector Machines. Inteligencia Artif. 12 (40) (2008)
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)