Leandro Passos
Leandro Passos
Other namesLeandro Aparecido Passos Júnior, Leandro A. Passos, Leandro Passos Junior
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Cited by
Cited by
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
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
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
Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks
LA de Souza Jr, LA Passos, R Mendel, A Ebigbo, A Probst, H Messmann, ...
Computers in Biology and Medicine 126, 104029, 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 28 (12), 3076-3086, 2019
Computer-assisted Parkinson's disease diagnosis using fuzzy optimum-path forest and Restricted Boltzmann Machines
RWR de Souza, DS Silva, LA Passos, M Roder, MC Santana, PR Pinheiro, ...
Computers in Biology and Medicine 131, 104260, 2021
A metaheuristic-driven approach to fine-tune deep Boltzmann machines
LA Passos, JP Papa
Applied Soft Computing 97, 105717, 2020
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
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 novel siamese-based approach for scene change detection with applications to obstructed routes in hazardous environments
MCS Santana, LA Passos, TP Moreira, D Colombo, VHC de Albuquerque, ...
IEEE Intelligent Systems 35 (1), 44-53, 2019
Fine-tuning infinity restricted boltzmann machines
LA Passos, JP Papa
2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 63-70, 2017
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
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
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
A critical literature survey and prospects on tampering and anomaly detection in image data
KAP da Costa, JP Papa, LA Passos, D Colombo, J Del Ser, K Muhammad, ...
Applied Soft Computing 97, 106727, 2020
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
Temperature-based deep boltzmann machines
LA Passos, JP Papa
Neural Processing Letters 48 (1), 95-107, 2018
Enhancing brain storm optimization through optimum-path forest
LCS Afonso, L Passos, J PauloPapa
2018 IEEE 12th International Symposium on Applied Computational Intelligence …, 2018
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