Ana Carolina Siravenha

Orcid: 0000-0001-6664-9847

According to our database1, Ana Carolina Siravenha authored at least 13 papers between 2011 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2021
An Unsupervised Learning Methodology for Increasing Human Productivity via VR Training.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
CNN-DFT Based Approach Applied to Image Inspection of Railcar Component: A Comparison with Machine Learning Methods.
J. Inf. Data Manag., 2020

2019
Residual MLP Network for Mental Fatigue Classification in Mining Workers from Brain Data.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
A deep-learning-based approach for automated wagon component inspection.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

An Ensemble of Convolutional Neural Networks for Unbalanced Datasets: A case Study with Wagon Component Inspection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
A Deep Learning Approach for Classification of Reaching Targets from EEG Images.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

A Novel Procedure for Classification of Early Human Actions from EEG Signals.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Plant Classification from Leaf Textures.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015
Exploring the Use of Leaf Shape Frequencies for Plant Classification.
Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015

2012
A hybrid approach to clouds and shadows removal in satellite images.
Proceedings of the Computational Modelling of Objects Represented in Images, 2012

2011
The Use of High-Pass Filters and the Inpainting Method to Clouds Removal and Their Impact on Satellite Images Classification.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Comparing Different High-Pass Filters to Improve the Accuracy of Classification of Satellite Imagery Obstructed by Clouds and Fog.
Proceedings of the Signal Processing, Image Processing and Pattern Recognition, 2011

Evaluating Inpainting Methods to the Satellite Images Clouds and Shadows Removing.
Proceedings of the Signal Processing, Image Processing and Pattern Recognition, 2011


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