| Deep learning for plant identification using vein morphological patterns GL Grinblat, LC Uzal, MG Larese, PM Granitto Computers and electronics in agriculture 127, 418-424, 2016 | 735 | 2016 |
| Toward large-scale vulnerability discovery using machine learning G Grieco, GL Grinblat, L Uzal, S Rawat, J Feist, L Mounier Proceedings of the sixth ACM conference on data and application security and …, 2016 | 334 | 2016 |
| Seed-per-pod estimation for plant breeding using deep learning LC Uzal, GL Grinblat, R Namías, MG Larese, JS Bianchi, EN Morandi, ... Computers and electronics in agriculture 150, 196-204, 2018 | 147 | 2018 |
| Solving nonstationary classification problems with coupled support vector machines GL Grinblat, LC Uzal, HA Ceccatto, PM Granitto IEEE Transactions on Neural Networks 22 (1), 37-51, 2010 | 62 | 2010 |
| Optimal reconstruction of dynamical systems: A noise amplification approach LC Uzal, GL Grinblat, PF Verdes Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (1 …, 2011 | 50 | 2011 |
| Class-splitting generative adversarial networks GL Grinblat, LC Uzal, PM Granitto arXiv preprint arXiv:1709.07359, 2017 | 46 | 2017 |
| Abrupt change detection with one-class time-adaptive support vector machines GL Grinblat, LC Uzal, PM Granitto expert systems with applications 40 (18), 7242-7249, 2013 | 32 | 2013 |
| Quantized state simulation of spiking neural networks GL Grinblat, H Ahumada, E Kofman Simulation 88 (3), 299-313, 2012 | 24 | 2012 |
| SVM based feature selection: Why are we using the dual? GL Grinblat, J Izetta, PM Granitto Ibero-American Conference on Artificial Intelligence, 413-422, 2010 | 24 | 2010 |
| REPMAC: A new hybrid approach to highly imbalanced classification problems H Ahumada, GL Grinblat, LC Uzal, PM Granitto, A Ceccatto 2008 Eighth International Conference on Hybrid Intelligent Systems, 386-391, 2008 | 22 | 2008 |
| Online object detection and localization on stereo visual SLAM system T Pire, J Corti, G Grinblat Journal of Intelligent & Robotic Systems 98 (2), 377-386, 2020 | 18 | 2020 |
| Nonstationary regression with support vector machines GL Grinblat, LC Uzal, PF Verdes, PM Granitto Neural Computing and Applications 26 (3), 641-649, 2015 | 17 | 2015 |
| Exploiting gan internal capacity for high-quality reconstruction of natural images M Pividori, GL Grinblat, LC Uzal arXiv preprint arXiv:1911.05630, 2019 | 5 | 2019 |
| Análisis semántico en rostros utilizando redes neuronales profundas N Pellejero, GL Grinblat, L Uzal XVIII Simposio Argentino de Inteligencia Artificial (ASAI)-JAIIO 46 (Córdoba …, 2017 | 5 | 2017 |
| Extensión de métodos modernos de Aprendizaje Automatizado y aplicaciones HC Ahumada, AE Bayá, GL Grinblat, CJ Izetta Riera XIII Workshop de Investigadores en Ciencias de la Computación, 2011 | 5 | 2011 |
| Time–Adaptive Support Vector Machines G Grinblat, PM Granitto, A Ceccatto Asociación Española de Inteligencia Artificial, 2008 | 4 | 2008 |
| Semantic analysis on faces using deep neural networks NF Pellejero, GL Grinblat, LC Uzal Asociación Española de Inteligencia Artificial, 2018 | 3 | 2018 |
| Deep Architectures on Drifting Concepts: A Simple Approach LR Morelli, PM Granitto, GL Grinblat 14th Argentine Symposium on Artificial Intelligence, ASAI 2013, 97-108, 2013 | 2 | 2013 |
| Unsupervized data-driven partitioning of multiclass problems HC Ahumada, GL Grinblat, PM Granitto International Conference on Artificial Neural Networks, 117-125, 2011 | 1 | 2011 |
| Evaluation of a new hybrid algorithm for highly imbalanced classification problems H Ahumada, GL Grinblat, LC Uzal, A Ceccatto, PM Granitto International Journal of Hybrid Intelligent Systems 8 (4), 199-211, 2011 | 1 | 2011 |
Lucas C. UzalCIFASIS, CONICET, UNREmail verificata su cifasis-conicet.gov.ar