Gustavo Henrique de Rosa
Gustavo Henrique de Rosa
Research Software Engineer, Microsoft Research
Verified email at - Homepage
Cited by
Cited by
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
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
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
A recurrence plot-based approach for ParkinsonĘs disease identification
LCS Afonso, GH Rosa, CR Pereira, SAT Weber, C Hook, ...
Future Generation Computer Systems 94, 282-292, 2019
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
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
Convolutional neural networks applied for ParkinsonĘs disease identification
CR Pereira, DR Pereira, JP Papa, GH Rosa, XS Yang
Machine learning for health informatics, 377-390, 2016
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
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
Quaternion-based deep belief networks fine-tuning
JP Papa, GH Rosa, DR Pereira, XS Yang
Applied Soft Computing 60, 328-335, 2017
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
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
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
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
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
A survey on text generation using generative adversarial networks
GH de Rosa, JP Papa
Pattern Recognition 119, 108098, 2021
A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes
JP Papa, GH Rosa, LP Papa
Pattern Recognition Letters 100, 59-66, 2017
Deep Learning-Aided ParkinsonĘs Disease Diagnosis from Handwritten Dynamics, in °2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)Ę
CR Pereira, S Weber, C Hook, GH Rosa, JP Papa
Ieee, 2016
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