Claudio Filipi Goncalves dos Santos

According to our database, Claudio Filipi Goncalves dos Santos authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

ISP Meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing.

Claudio Filipi Goncalves dos Santos, Rodrigo Reis Arrais, Jhessica Victoria Santos da Silva, Matheus Henrique Marques da Silva, Wladimir Barroso Guedes de Araújo Neto, Leonardo Tadeu Lopes, Guilherme Augusto Bileki, Iago Oliveira Lima, Lucas Borges Rondon, Bruno Melo de Souza, Mayara Costa Regazio, Rodolfo Coelho Dalapicola, Arthur Alves Tasca

ACM Comput. Surv., May, 2025

2024

Rethinking Regularization with Random Label Smoothing.

Claudio Filipi Gonçalves dos Santos, João Paulo Papa

Neural Process. Lett., June, 2024

2023

Gait Recognition Based on Deep Learning: A Survey.

Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo

ACM Comput. Surv., 2023

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

Matheus Henrique Marques da Silva, Jhessica Victoria Santos da Silva, Rodrigo Reis Arrais, Wladimir Barroso Guedes de Araújo Neto, Leonardo Tadeu Lopes, Guilherme Augusto Bileki, Iago Oliveira Lima, Lucas Borges Rondon, Bruno Melo de Souza, Mayara Costa Regazio, Rodolfo Coelho Dalapicola, Claudio Filipi Gonçalves dos Santos

CoRR, 2023

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

Ana Claudia Akemi Matsuki de Faria, Felype de Castro Bastos, Jose Victor Nogueira Alves da Silva, Vitor Lopes Fabris, Valeska de Sousa Uchoa, Décio Gonçalves de Aguiar Neto, Claudio Filipi Goncalves dos Santos

CoRR, 2023

eXplainable Artificial Intelligence on Medical Images: A Survey.

Matteus Vargas Simão da Silva, Rodrigo Reis Arrais, Jhessica Victoria Santos da Silva, Felipe Souza Tânios, Mateus Antonio Chinelatto, Natalia Backhaus Pereira, Renata De Paris, Lucas Cesar Ferreira Domingos, Rodrigo Dória Villaça, Vitor Lopes Fabris, Nayara Rossi Brito da Silva, Ana Claudia Akemi Matsuki de Faria, Jose Victor Nogueira Alves da Silva, Fabiana Cristina Queiroz de Oliveira Marucci, Francisco Alves de Souza Neto, Danilo Xavier Silva, Vitor Yukio Kondo, Claudio Filipi Gonçalves dos Santos

CoRR, 2023

Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices.

Vitor Lopes Fabris, Felype de Castro Bastos, Ana Claudia Akemi Matsuki de Faria, Jose Victor Nogueira Alves da Silva, Pedro Augusto Luiz, Rafael Custódio Silva, Renata De Paris, Claudio Filipi Gonçalves dos Santos

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.

Claudio Filipi Goncalves dos Santos, João Paulo Papa

ACM Comput. Surv., January, 2022

MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks.

Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro Aparecido Passos, João Paulo Papa

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

2021

Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning.

Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Does Removing Pooling Layers from Convolutional Neural Networks Improve Results?

Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa

SN Comput. Sci., 2020

Image Denoising using Attention-Residual Convolutional Neural Networks.

Rafael Goncalves Pires, Daniel F. S. Santos, Cláudio F. G. Santos, Marcos C. S. Santana, João P. Papa

Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values.

Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa

Proceedings of the 25th International Conference on Pattern Recognition, 2020

BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks.

Claudio Filipi Goncalves dos Santos, Luis Claudio Sugi Afonso, Clayton Reginaldo Pereira, João Paulo Papa

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019

Does Pooling Really Matter? An Evaluation on Gait Recognition.

Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019