Leandro Passos
Leandro Passos
Pós-doutorando em Ciência da computação, UNESP
E-mail confirmado em unesp.br
Citado por
Citado por
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
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
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
Intelligent network security monitoring based on optimum-path forest clustering
RR Guimaraes, LA Passos, R Holanda Filho, VHC de Albuquerque, ...
Ieee Network 33 (2), 126-131, 2018
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
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
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
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 59, 475-485, 2019
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
Temperature-based deep boltzmann machines
LA Passos, JP Papa
Neural Processing Letters 48 (1), 95-107, 2018
Fine-tuning infinity restricted boltzmann machines
LA Passos, JP Papa
2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 63-70, 2017
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
A metaheuristic-driven approach to fine-tune deep Boltzmann machines
LA Passos, JP Papa
Applied Soft Computing, 105717, 2019
Adaptive improved flower pollination algorithm for global optimization
D Rodrigues, GH de Rosa, LA Passos, JP Papa
Nature-Inspired Computation in Data Mining and Machine Learning, 1-21, 2020
A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic
RWR De Souza, JVC De Oliveira, LA Passos, W Ding, JP Papa, ...
IEEE Transactions on Fuzzy Systems, 2019
On the training algorithms for restricted boltzmann machine-based models
LA Passos Junior
Universidade Federal de São Carlos, 2018
Quaternion-based backtracking search optimization algorithm
LA Passos, D Rodrigues, JP Papa
2019 IEEE Congress on Evolutionary Computation (CEC), 3014-3021, 2019
Deep boltzmann machines using adaptive temperatures
LAP Júnior, KAP Costa, JP Papa
International Conference on Computer Analysis of Images and Patterns, 172-183, 2017
A Hybrid Approach for Breast Mass Categorization
LA Passos, C Santos, CR Pereira, LCS Afonso, JP Papa
ECCOMAS Thematic Conference on Computational Vision and Medical Image …, 2019
κ-entropy based restricted boltzmann machines
LA Passos, MC Santana, T Moreira, JP Papa
The 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019
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