REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems. - Hernán Ahumada; Guillermo L. Grinblat; Lucas C. Uzal; Pablo M. Granitto; H. Alejandro Ceccatto (HIS, 2008)

Time-Adaptive Support Vector Machines. - Guillermo L. Grinblat; Pablo M. Granitto; H. Alejandro Ceccatto (Inteligencia Artif., 2008)

SVM Based Feature Selection: Why Are We Using the Dual? - Guillermo L. Grinblat; Javier Izetta; Pablo M. Granitto (IBERAMIA, 2010)

Unsupervized Data-Driven Partitioning of Multiclass Problems. - Hernán Ahumada; Guillermo L. Grinblat; Pablo M. Granitto (ICANN (1), 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)

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)

Quantized state simulation of spiking neural networks. - Guillermo L. Grinblat; Hernán Ahumada; Ernesto Kofman (Simul., 2012)

Abrupt change detection with One-Class Time-Adaptive Support Vector Machines. - Guillermo L. Grinblat; Lucas C. Uzal; Pablo M. Granitto (Expert Syst. Appl., 2013)

Nonstationary regression with support vector machines. - Guillermo L. Grinblat; Lucas C. Uzal; Pablo F. Verdes; Pablo M. Granitto (Neural Comput. Appl., 2015)

Toward Large-Scale Vulnerability Discovery using Machine Learning. - Gustavo Grieco; Guillermo Luis Grinblat; Lucas C. Uzal; Sanjay Rawat 001; Josselin Feist; Laurent Mounier (CODASPY, 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)

Inferring unknown biological function by integration of GO annotations and gene expression data. - Guillermo L. Grinblat; Ariel E. Bayá; Diego H. Milone; Pablo M. Granitto; Georgina Stegmayer (CoRR, 2016)

Class-Splitting Generative Adversarial Networks. - Guillermo L. Grinblat; Lucas C. Uzal; Pablo M. Granitto (CoRR, 2017)

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)

Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images. - Marcos Pividori; Guillermo L. Grinblat; Lucas C. Uzal (CoRR, 2019)

Online Object Detection and Localization on Stereo Visual SLAM System. - Taihú Pire; Javier Corti; Guillermo L. Grinblat (J. Intell. Robotic Syst., 2020)