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ORCIDClaudio Filipi Goncalves dos Santos
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- affiliation: Federal University of São Carlos, Department of Computing, Brazil
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Journal Articles
- 2024
[j4]Claudio Filipi Gonçalves dos Santos, João Paulo Papa:
Rethinking Regularization with Random Label Smoothing. Neural Process. Lett. 56(3): 157 (2024)- 2023
- [j3]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:
Gait Recognition Based on Deep Learning: A Survey. ACM Comput. Surv. 55(2): 34:1-34:34 (2023) - 2022
- [j2]Claudio Filipi Goncalves dos Santos, João Paulo Papa:
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. ACM Comput. Surv. 54(10s): 213:1-213:25 (2022) - 2020
- [j1]Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa:
Does Removing Pooling Layers from Convolutional Neural Networks Improve Results? SN Comput. Sci. 1(5): 275 (2020)
Conference and Workshop Papers
- 2023
- [c7]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:
Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices. CIARP 2023: 406-419 - 2022
- [c6]Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro Aparecido Passos, João Paulo Papa:
MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks. IbPRIA 2022: 271-282 - 2021
- [c5]Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos:
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning. SSCI 2021: 1-8 - 2020
- [c4]Claudio Filipi Goncalves dos Santos, Luis Claudio Sugi Afonso, Clayton Reginaldo Pereira, João Paulo Papa:
BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks. CBMS 2020: 463-468 - [c3]Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa:
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. ICPR 2020: 2671-2676 - [c2]Rafael Goncalves Pires, Daniel F. S. Santos, Cláudio F. G. Santos, Marcos C. S. Santana, João P. Papa:
Image Denoising using Attention-Residual Convolutional Neural Networks. SIBGRAPI 2020: 101-107 - 2019
- [c1]Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa:
Does Pooling Really Matter? An Evaluation on Gait Recognition. CIARP 2019: 751-760
Informal and Other Publications
- 2023
- [i9]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:
eXplainable Artificial Intelligence on Medical Images: A Survey. CoRR abs/2305.07511 (2023) - [i8]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:
Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature. CoRR abs/2305.11033 (2023) - [i7]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:
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing. CoRR abs/2305.11994 (2023) - 2022
- [i6]Claudio Filipi Gonçalves dos Santos, João Paulo Papa:
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. CoRR abs/2201.03299 (2022) - [i5]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 Silva Santana, Mateus Roder, João Paulo Papa, Danilo Colombo:
Gait Recognition Based on Deep Learning: A Survey. CoRR abs/2201.03323 (2022) - [i4]Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro A. Passos, João P. Papa:
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks. CoRR abs/2203.02740 (2022) - [i3]Gustavo H. de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos:
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning. CoRR abs/2212.09447 (2022) - 2021
- [i2]Rafael Goncalves Pires, Daniel F. S. Santos, Marcos C. S. Santana, Cláudio F. G. Santos, João Paulo Papa:
Image Denoising using Attention-Residual Convolutional Neural Networks. CoRR abs/2101.07713 (2021) - 2020
- [i1]Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa:
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. CoRR abs/2007.13723 (2020)
Coauthor Index
aka: João P. Papa
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