Does Pooling Really Matter? An Evaluation on Gait Recognition. - Claudio Filipi Goncalves dos Santos; Thierry Pinheiro Moreira; Danilo Colombo; João Paulo Papa (CIARP, 2019)

BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks. - Claudio Filipi Goncalves dos Santos; Luis Claudio Sugi Afonso; Clayton Reginaldo Pereira; João Paulo Papa (CBMS, 2020)

MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. - Claudio Filipi Goncalves dos Santos; Danilo Colombo; Mateus Roder; João Paulo Papa (ICPR, 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 (SIBGRAPI, 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)

Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning. - Gustavo Henrique de Rosa; Mateus Roder; João Paulo Papa; Claudio Filipi Goncalves dos Santos (SSCI, 2021)

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 (IbPRIA, 2022)

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. - Claudio Filipi Goncalves dos Santos; João Paulo Papa (ACM Comput. Surv., 2022)

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 (CIARP, 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; et al. (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)

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)

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)

Rethinking Regularization with Random Label Smoothing. - Claudio Filipi Gonçalves dos Santos; João Paulo Papa (Neural Process. Lett., 2024)

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; et al. (ACM Comput. Surv., 2025)