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Gustavo Henrique de Rosa
Gustavo Henrique de Rosa
Research Software Engineer, Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
1662016
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
1072019
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
1062018
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
692019
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
572015
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
572015
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
482016
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
482016
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
442018
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
412015
Quaternion-based deep belief networks fine-tuning
JP Papa, GH Rosa, DR Pereira, XS Yang
Applied Soft Computing 60, 328-335, 2017
322017
Feature selection through binary brain storm optimization
JP Papa, GH Rosa, AN de Souza, LCS Afonso
Computers & Electrical Engineering 72, 468-481, 2018
302018
A survey on text generation using generative adversarial networks
GH de Rosa, JP Papa
Pattern Recognition 119, 108098, 2021
242021
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
192018
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
192017
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
162014
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
132020
A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes
JP Papa, GH Rosa, LP Papa
Pattern Recognition Letters 100, 59-66, 2017
122017
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
122016
Semi-supervised learning with connectivity-driven convolutional neural networks
WP Amorim, GH Rosa, R Thomazella, JEC Castanho, FRL Dotto, ...
Pattern Recognition Letters 128, 16-22, 2019
102019
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