Francisco H. S. Silva
Orcid: 0000-0001-6833-9818Affiliations:
- Federal Institute of Ceará, Fortaleza, Brazil
According to our database1,
Francisco H. S. Silva
authored at least 13 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signals.
Proceedings of the International Joint Conference on Neural Networks, 2023
2021
Pattern Recognit. Lett., 2021
A soft computing automatic based in deep learning with use of fine-tuning for pulmonary segmentation in computed tomography images.
Appl. Soft Comput., 2021
2020
Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation.
Sensors, 2020
Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learning.
Int. J. Hybrid Intell. Syst., 2020
An effective approach for CT lung segmentation using mask region-based convolutional neural networks.
Artif. Intell. Medicine, 2020
Adaptive Level Set with region analysis via Mask R-CNN: A comparison against classical methods.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
An Approach to BI-RADS Uncertainty Levels Classification Via Deep Learning with Transfer Learning Technique.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
Automatic Lung Segmentation in CT Images Using Mask R-CNN for Mapping the Feature Extraction in Supervised Methods of Machine Learning.
Proceedings of the Intelligent Systems Design and Applications, 2019
2017
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017