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Gustavo Henrique de Rosa
Gustavo Henrique de Rosa
Senior Research Software Engineer, Microsoft GenAI
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
2232016
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
1692018
Textbooks are all you need
S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ...
arXiv preprint arXiv:2306.11644, 2023
1642023
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
1122019
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
1102019
A survey on text generation using generative adversarial networks
GH De Rosa, JP Papa
Pattern Recognition 119, 108098, 2021
822021
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
782016
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
702015
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
612015
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
552016
Handling dropout probability estimation in convolution neural networks using meta-heuristics
GH De Rosa, JP Papa, XS Yang
Soft Computing 22, 6147-6156, 2018
542018
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
422015
Feature selection through binary brain storm optimization
JP Papa, GH Rosa, AN de Souza, LCS Afonso
Computers & Electrical Engineering 72, 468-481, 2018
392018
Quaternion-based deep belief networks fine-tuning
JP Papa, GH Rosa, DR Pereira, XS Yang
Applied Soft Computing 60, 328-335, 2017
352017
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
322018
Phi-2: The surprising power of small language models
M Javaheripi, S Bubeck, M Abdin, J Aneja, S Bubeck, CCT Mendes, ...
Microsoft Research Blog, 2023
242023
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
222017
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
192020
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
192014
Litetransformersearch: Training-free on-device search for efficient autoregressive language models
M Javaheripi, S Shah, S Mukherjee, TL Religa, CCT Mendes, ...
First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022
172022
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