| 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 | 54 | 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 | 40 | 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 | 34 | 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 | 13 | 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 | 13 | 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 | 13 | 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 | 11 | 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 | 10 | 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 | 10 | 2014 |
| Temperature-based deep boltzmann machines LA Passos, JP Papa Neural Processing Letters 48 (1), 95-107, 2018 | 9 | 2018 |
| Fine-tuning infinity restricted boltzmann machines LA Passos, JP Papa 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 63-70, 2017 | 9 | 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 | 9 | 2015 |
| A metaheuristic-driven approach to fine-tune deep Boltzmann machines LA Passos, JP Papa Applied Soft Computing, 105717, 2019 | 6 | 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 | 5 | 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 | 5 | 2019 |
| On the training algorithms for restricted boltzmann machine-based models LA Passos Junior Universidade Federal de São Carlos, 2018 | 5 | 2018 |
| Quaternion-based backtracking search optimization algorithm LA Passos, D Rodrigues, JP Papa 2019 IEEE Congress on Evolutionary Computation (CEC), 3014-3021, 2019 | 4 | 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 | 4 | 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 | 3 | 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 | 3 | 2019 |
João Paulo PapaAssociate Professor, São Paulo State UniversityE-mail confirmado em fc.unesp.br
