Leandro Aparecido Passos Júnior
Leandro Aparecido Passos Júnior
Doutor em Ciência da computação, Universidade Federal de São Carlos
E-mail confirmado em fc.unesp.br
TítuloCitado porAno
Learning parameters in deep belief networks through firefly algorithm
G Rosa, J Papa, K Costa, L Passos, C Pereira, XS Yang
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 138-149, 2016
18*2016
Unsupervised non-technical losses identification through optimum-path forest
LAP Júnior, CCO Ramos, D Rodrigues, DR Pereira, AN de Souza, ...
Electric Power Systems Research 140, 413-423, 2016
122016
On the training of artificial neural networks with radial basis function using optimum-path forest clustering
GH Rosa, KAP Costa, LAP Júnior, JP Papa, AX Falcao, JMRS Tavares
2014 22nd International Conference on Pattern Recognition, 1472-1477, 2014
62014
Unsupervised breast masses classification through optimum-path forest
PB Ribeiro, LA Passos, LA da Silva, KAP da Costa, JP Papa, ...
2015 IEEE 28th International Symposium on Computer-Based Medical Systems …, 2015
32015
Exudate detection in fundus images using deeply-learnable features
P Khojasteh, LAP Júnior, T Carvalho, E Rezende, B Aliahmad, JP Papa, ...
Computers in biology and medicine 104, 62-69, 2019
22019
Intelligent network security monitoring based on optimum-path forest clustering
RR Guimaraes, LA Passos, R Holanda Filho, VHC de Albuquerque, ...
IEEE Network, 2018
22018
Temperature-based deep Boltzmann machines
LA Passos, JP Papa
Neural Processing Letters 48 (1), 95-107, 2018
22018
Fine-tuning infinity restricted boltzmann machines
LA Passos, JP Papa
2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 63-70, 2017
22017
Parkinson’s disease identification using restricted boltzmann machines
CR Pereira, LA Passos, RR Lopes, SAT Weber, C Hook, JP Papa
International Conference on Computer Analysis of Images and Patterns, 70-80, 2017
22017
Parkinson disease identification using residual networks and optimum-path forest
LA Passos, CR Pereira, ERS Rezende, TJ Carvalho, SAT Weber, C Hook, ...
2018 IEEE 12th International Symposium on Applied Computational Intelligence …, 2018
12018
Enhancing Brain Storm Optimization Through Optimum-Path Forest
LCS Afonso, L Passos, J PauloPapa
2018 IEEE 12th International Symposium on Applied Computational Intelligence …, 2018
12018
Fine tuning deep boltzmann machines through meta-heuristic approaches
LA Passos, DR Rodrigues, JP Papa
2018 IEEE 12th International Symposium on Applied Computational Intelligence …, 2018
12018
Barrett’s Esophagus Analysis Using Infinity Restricted Boltzmann Machines
LA Passos, LA de Souza Jr, R Mendel, A Ebigbo, A Probst, H Messmann, ...
Journal of Visual Communication and Image Representation, 2019
2019
On the training algorithms for Restricted Boltzmann Machine-Based Models
LA Passos Junior
Universidade Federal de São Carlos, 2018
2018
Deep Boltzmann Machines Using Adaptive Temperatures
LAP Júnior, KAP Costa, JP Papa
International Conference on Computer Analysis of Images and Patterns, 172-183, 2017
2017
Unsupervised non-technical losses identification through optimum-path forest
LA Passos Junior, CC Oba Ramos, D Rodrigues, DR Pereira, ...
Electric Power Systems Research 140, 413-423, 2016
2016
Detecção de anomalias por Floresta Caminhos Ótimos
LA Passos Júnior
Universidade Estadual Paulista (UNESP), 2015
2015
Obtenção de neurônios de redes neurais de base radial via agrupamento de dados por floresta de caminhos ótimos
LA Passos Júnior, KAP Costa, GH Rosa, JP Papa
Interciência & Sociedade, 64-74, 2015
2015
FITTING MULTIVARIATE GAUSSIAN DISTRIBUTIONS WITH OPTIMUM-PATH FOREST AND ITS APPLICATION FOR ANOMALY DETECTION
LAP Júnior, KAP da Costa, JP Papa
Hastening Deep Boltzmann Machines Using Adaptive Temperatures
LAP Júnior, KAP Costa, JP Papa
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