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 | 199 | 2016 |
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 | 140 | 2018 |
Soft-Tempering Deep Belief Networks Parameters Through Genetic Programming GH de Rosa, JP Papa Journal of Artificial Intelligence and Systems 1 (1), 43-59, 2019 | 112 | 2019 |
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 | 93 | 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: State-Of-The-Art and Future …, 2016 | 73 | 2016 |
Fine-tuning convolutional neural networks using harmony search G Rosa, J Papa, A Marana, W Scheirer, D Cox Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2015 | 65 | 2015 |
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 | 61 | 2015 |
Learning parameters in deep belief networks through firefly algorithm G Rosa, J Papa, K Costa, L Passos, C Pereira, XS Yang Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop …, 2016 | 55 | 2016 |
Handling dropout probability estimation in convolution neural networks using meta-heuristics GH De Rosa, JP Papa, XS Yang Soft Computing 22, 6147-6156, 2018 | 52 | 2018 |
A survey on text generation using generative adversarial networks GH de Rosa, JP Papa Pattern Recognition 119, 108098, 2021 | 49 | 2021 |
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 | 42 | 2015 |
Feature selection through binary brain storm optimization JP Papa, GH Rosa, AN de Souza, LCS Afonso Computers & Electrical Engineering 72, 468-481, 2018 | 35 | 2018 |
Quaternion-based deep belief networks fine-tuning JP Papa, GH Rosa, DR Pereira, XS Yang Applied Soft Computing 60, 328-335, 2017 | 34 | 2017 |
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 | 27 | 2018 |
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 | 20 | 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 | 19 | 2014 |
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 | 18 | 2020 |
A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes JP Papa, GH Rosa, LP Papa Pattern Recognition Letters 100, 59-66, 2017 | 16 | 2017 |
Reinforcing learning in Deep Belief Networks through nature-inspired optimization M Roder, LA Passos, GH de Rosa, VHC de Albuquerque, JP Papa Applied Soft Computing 108, 107466, 2021 | 13 | 2021 |
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 | 12 | 2016 |