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- Publications
- Influence
A new computer vision-based approach to aid the diagnosis of Parkinson's disease
- C. Pereira, D. Pereira, +4 authors J. Papa
- Computer Science, Medicine
- Comput. Methods Programs Biomed.
- 1 November 2016
TLDR
A Step Towards the Automated Diagnosis of Parkinson's Disease: Analyzing Handwriting Movements
- C. Pereira, D. Pereira, +4 authors J. Papa
- Computer Science
- IEEE 28th International Symposium on Computer…
- 22 June 2015
TLDR
Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations
- H. Turesson, S. Ribeiro, D. Pereira, J. Papa, V. H. C. de Albuquerque
- Computer Science, Medicine
- PloS one
- 21 September 2016
TLDR
Stroke Lesion Detection Using Convolutional Neural Networks
- D. Pereira, P. Filho, G. Rosa, J. Papa, V. Albuquerque
- Computer Science
- International Joint Conference on Neural Networks…
- 8 July 2018
TLDR
A New Method for Automatic Vehicle License Plate Detection
- Guilherme Lofrano Corneto, Francisco Assis da Silva, +5 authors Helton Molina Sapia
- Computer Science
- IEEE Latin America Transactions
- 2017
TLDR
On the Harmony Search Using Quaternions
- J. Papa, D. Pereira, A. Baldassin, X. Yang
- Computer Science
- ANNPR
- 28 September 2016
TLDR
Robust automated cardiac arrhythmia detection in ECG beat signals
- V. Albuquerque, Thiago M. Nunes, +4 authors J. Tavares
- Computer Science
- Neural Computing and Applications
- 1 February 2018
TLDR
Convolutional Neural Networks Applied for Parkinson's Disease Identification
- C. Pereira, D. Pereira, J. Papa, G. Rosa, X. Yang
- Computer Science
- Machine Learning for Health Informatics
- 2016
TLDR
Teaching-learning firewall configuration using a visual modeling web based tool: The SP2Model and its application to Computer Science course
- H. Sapia, R. Garcia, C. Junior, D. Pereira, Kleber Manrique Trevisani
- Computer Science
- IEEE Frontiers in Education Conference (FIE)
- 2016
TLDR
Unsupervised non-technical losses identification through optimum-path forest
- Leandro A. Passos Junior, C. Ramos, +4 authors J. Papa
- Engineering
- 1 November 2016
Abstract Non-technical losses (NTL) identification has been paramount in the last years. However, it is not straightforward to obtain labelled datasets to perform a supervised NTL recognition task.… Expand
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