| Deep learning-aided Parkinson's disease diagnosis from handwritten dynamics CR Pereira, SAT Weber, C Hook, GH Rosa, JP Papa 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2016 | 66 | 2016 |
| Model selection for discriminative restricted boltzmann machines through meta-heuristic techniques JP Papa, GH Rosa, AN Marana, W Scheirer, DD Cox Journal of Computational Science 9, 14-18, 2015 | 52 | 2015 |
| Fine-tuning convolutional neural networks using harmony search G Rosa, J Papa, A Marana, W Scheirer, D Cox Iberoamerican Congress on Pattern Recognition, 683-690, 2015 | 40 | 2015 |
| On the model selection of bernoulli restricted boltzmann machines through harmony search JP Papa, GH Rosa, KA Costa, NA Marana, W Scheirer, DD Cox Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 40 | 2015 |
| Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification CR Pereira, DR Pereira, GH Rosa, VHC Albuquerque, SAT Weber, ... Artificial intelligence in medicine 87, 67-77, 2018 | 37 | 2018 |
| 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 | 36 | 2016 |
| Quaternion-based deep belief networks fine-tuning JP Papa, GH Rosa, DR Pereira, XS Yang Applied Soft Computing 60, 328-335, 2017 | 24 | 2017 |
| A recurrence plot-based approach for Parkinson’s disease identification LCS Afonso, GH Rosa, CR Pereira, SAT Weber, C Hook, ... Future Generation Computer Systems 94, 282-292, 2019 | 19 | 2019 |
| Convolutional neural networks applied for parkinson’s disease identification CR Pereira, DR Pereira, JP Papa, GH Rosa, XS Yang Machine learning for health informatics, 377-390, 2016 | 16 | 2016 |
| Libopt: An open-source platform for fast prototyping soft optimization techniques JP Papa, GH Rosa, D Rodrigues, XS Yang arXiv preprint arXiv:1704.05174, 2017 | 15 | 2017 |
| Soft-Tempering Deep Belief Networks Parameters Through Genetic Programming GH de Rosa, JP Papa | 14 | 2019 |
| Handling dropout probability estimation in convolution neural networks using meta-heuristics GH De Rosa, JP Papa, XS Yang Soft Computing 22 (18), 6147-6156, 2018 | 14 | 2018 |
| Feature selection through binary brain storm optimization JP Papa, GH Rosa, AN de Souza, LCS Afonso Computers & Electrical Engineering 72, 468-481, 2018 | 10 | 2018 |
| Stroke lesion detection using convolutional neural networks DR Pereira, PP Reboucas Filho, GH de Rosa, JP Papa, ... 2018 International joint conference on neural networks (IJCNN), 1-6, 2018 | 10 | 2018 |
| Learning spam features using restricted boltzmann machines LA da Silva, KAP da Costa, PB Ribeiro, GH de Rosa, JP Papa IADIS International Journal on Computer Science & Information Systems 11 (1), 2016 | 10 | 2016 |
| 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 |
| Parameter setting-free harmony search optimization of restricted boltzmann machines and its applications to spam detection LA Silva, PB Ribeiro, GH Rosa, KAP Costa, JP Papa 12th international conference applied computing, 142-150, 2015 | 8 | 2015 |
| A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes JP Papa, GH Rosa, LP Papa Pattern Recognition Letters 100, 59-66, 2017 | 7 | 2017 |
| Automatic landslide recognition through optimum-path forest R Pisani, P Riedel, K Costa, R Nakamura, C Pereira, G Rosa, J Papa 2012 IEEE International Geoscience and Remote Sensing Symposium, 6228-6231, 2012 | 7 | 2012 |
| Malware detection in android-based mobile environments using optimum-path forest KAP da Costa, LA da Silva, GB Martins, GH Rosa, CR Pereira, JP Papa 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 5 | 2015 |
João Paulo PapaAssociate Professor, São Paulo State UniversityE-mail confirmado em fc.unesp.br
