Lucas C. Uzal

Consejo Nacional de Investigaciones Científicas y Técnicas — Argentina

Computer Science · Physical Sciences

10h-index1.2kcitations20works0.02yr avg
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Research Topics

Generative Adversarial Networks and Image Synthesis(3), Anomaly Detection Techniques and Applications(3), Imbalanced Data Classification Techniques(3), Robotics and Sensor-Based Localization(2), Neural Networks and Applications(2)

Publications20 total

WGANVO: odometría visual monocular basada en redes adversarias generativas
Revista Iberoamericana de Automática e Informática Industrial RIAI·2021· 3 citedOpen Access
WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks
arXiv (Cornell University)·2020· 5 citedOpen Access
Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images
arXiv (Cornell University)·2019· 3 citedOpen Access
Exploiting video sequences for unsupervised disentangling in generative adversarial networks
arXiv (Cornell University)·2019Open Access
Seed-per-pod estimation for plant breeding using deep learning
Computers and Electronics in Agriculture·2018· 145 citedOpen Access
Class-Splitting Generative Adversarial Networks
arXiv (Cornell University)·2017· 31 citedOpen Access
Redes neuronales adversarias para el reconocimiento de malezas
Rep Hip UNR (National University of Rosario)·2017Open Access
Análisis semántico en rostros utilizando redes neuronales profundas
El Servicio de Difusión de la Creación Intelectual (National University of La Plata)·2017
Deep learning for plant identification using vein morphological patterns
Computers and Electronics in Agriculture·2016· 611 citedOpen Access
Toward Large-Scale Vulnerability Discovery using Machine Learning
2016· 234 cited
Nonstationary regression with support vector machines
Neural Computing and Applications·2014· 17 citedOpen Access
Predicci on de Sistemas Din amicos con Redes Neuronales Profundas
2014
Predicción de sistemas dinámicos con redes neuronales profundas
Repositorio Hipermedial UNR (Universidad Nacional de Rosario)·2013· 1 citedOpen Access
Abrupt change detection with One-Class Time-Adaptive Support Vector Machines
Expert Systems with Applications·2013· 21 citedOpen Access
Predictions of the Maximum Amplitude, Time of Occurrence, and Total Length of Solar Cycle 24
Solar Physics·2012· 14 citedOpen Access
Evaluation of a new hybrid algorithm for highly imbalanced classification problems
International Journal of Hybrid Intelligent Systems·2011· 1 cited
Optimal reconstruction of dynamical systems: A noise amplification approach
Physical Review E·2011· 43 citedOpen Access
Solving Nonstationary Classification Problems With Coupled Support Vector Machines
IEEE Transactions on Neural Networks·2010· 43 cited
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
2008· 15 cited
Coupling REPMAC with FDA to solve highly imbalanced classification problems
El Servicio de Difusión de la Creación Intelectual (National University of La Plata)·2008

Frequent Co-authors

Guillermo L. Grinblat(13), Pablo M. Granitto(11), P.F. Verdes(3), Hernán César Ahumada(3), Alejandro Ceccatto(3), Mónica G. Larese(2), Javier Cremona(2), Taihú Pire(2), Daniel G. Maino(2), Gustavo Grieco(1), Sanjay Rawat(1), Josselin Feist(1), Laurent Mounier(1), Rafael Namías(1), Julieta S. Bianchi(1), Eligio N. Morandi(1), H. A. Ceccatto(1), Rubén D. Piacentini(1), Marcos Pividori(1), Facundo Tuesca(1)