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Guillermo L. Grinblat
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2020 – today
- 2020
- [j9]Taihú Pire
, Javier Corti, Guillermo L. Grinblat:
Online Object Detection and Localization on Stereo Visual SLAM System. J. Intell. Robotic Syst. 98(2): 377-386 (2020)
2010 – 2019
- 2019
- [i3]Marcos Pividori, Guillermo L. Grinblat, Lucas C. Uzal:
Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images. CoRR abs/1911.05630 (2019) - 2018
- [j8]Lucas C. Uzal, Guillermo L. Grinblat, Rafael Namías, Mónica G. Larese
Seed-per-pod estimation for plant breeding using deep learning. Comput. Electron. Agric. 150: 196-204 (2018) - 2017
- [i2]Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto:
Class-Splitting Generative Adversarial Networks. CoRR abs/1709.07359 (2017) - 2016
- [j7]Guillermo L. Grinblat, Lucas C. Uzal, Mónica G. Larese
Deep learning for plant identification using vein morphological patterns. Comput. Electron. Agric. 127: 418-424 (2016) - [c4]Gustavo Grieco, Guillermo Luis Grinblat, Lucas C. Uzal, Sanjay Rawat, Josselin Feist, Laurent Mounier:
Toward Large-Scale Vulnerability Discovery using Machine Learning. CODASPY 2016: 85-96 - [i1]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 abs/1608.03672 (2016) - 2015
- [j6]Guillermo L. Grinblat, Lucas C. Uzal, Pablo F. Verdes, Pablo M. Granitto
Nonstationary regression with support vector machines. Neural Comput. Appl. 26(3): 641-649 (2015) - 2013
- [j5]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): 7242-7249 (2013) - 2012
- [j4]Guillermo L. Grinblat, Hernán Ahumada, Ernesto Kofman
Quantized state simulation of spiking neural networks. Simul. 88(3): 299-313 (2012) - 2011
- [j3]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): 199-211 (2011) - [j2]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): 37-51 (2011) - [c3]Hernán Ahumada, Guillermo L. Grinblat, Pablo M. Granitto
Unsupervized Data-Driven Partitioning of Multiclass Problems. ICANN (1) 2011: 117-125 - 2010
- [c2]Guillermo L. Grinblat, Javier Izetta, Pablo M. Granitto
SVM Based Feature Selection: Why Are We Using the Dual? IBERAMIA 2010: 413-422
2000 – 2009
- 2008
- [j1]Guillermo L. Grinblat, Pablo M. Granitto, H. Alejandro Ceccatto:
Time-Adaptive Support Vector Machines. Inteligencia Artif. 12(40): 39-50 (2008) - [c1]Hernán Ahumada, Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems. HIS 2008: 386-391
Coauthor Index
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