Gustavo Henrique de Rosa
TítuloCitado porAno
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
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
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
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
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
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
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
Quaternion-based deep belief networks fine-tuning
JP Papa, GH Rosa, DR Pereira, XS Yang
Applied Soft Computing 60, 328-335, 2017
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
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
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
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
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
Feature selection through binary brain storm optimization
JP Papa, GH Rosa, AN de Souza, LCS Afonso
Computers & Electrical Engineering 72, 468-481, 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
A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes
JP Papa, GH Rosa, LP Papa
Pattern Recognition Letters 100, 59-66, 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
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
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
On the Evaluation of Restricted Boltzmann Machines for Malware Identification
K Costa, L Silva, G Martins, G Rosa, R Pires, J Papa
work 37 (42), 43, 2016
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