Francisco H. S. Silva

Orcid: 0000-0001-6833-9818

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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
A novel feature extractor for human action recognition in visual question answering.
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

A Robust Automatic License Plate Recognition System for Embedded Devices.
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
Design and development of a non-contact measurement system applied for a conveyor.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017


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