Claudio Filipi Goncalves dos Santos

Orcid: 0000-0001-6580-5959

Affiliations:
  • Federal University of São Carlos, Department of Computing, Brazil


According to our database1, Claudio Filipi Goncalves dos Santos authored at least 13 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Gait Recognition Based on Deep Learning: A Survey.
ACM Comput. Surv., 2023

ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing.
CoRR, 2023

Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature.
CoRR, 2023

eXplainable Artificial Intelligence on Medical Images: A Survey.
CoRR, 2023

Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks.
ACM Comput. Surv., January, 2022

MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks.
Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

2021
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
Does Removing Pooling Layers from Convolutional Neural Networks Improve Results?
SN Comput. Sci., 2020

Image Denoising using Attention-Residual Convolutional Neural Networks.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
Does Pooling Really Matter? An Evaluation on Gait Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019


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