| Avoiding overfitting: A survey on regularization methods for convolutional neural networks CFGD Santos, JP Papa ACM Computing Surveys (CSUR) 54 (10s), 1-25, 2022 | 188 | 2022 |
| Gait recognition based on deep learning: a survey C Filipi Gonçalves dos Santos, DS Oliveira, L A. Passos, ... ACM Computing Surveys (CSUR) 55 (2), 1-34, 2022 | 54* | 2022 |
| MaxDropout: deep neural network regularization based on maximum output values CFG do Santos, D Colombo, M Roder, JP Papa 2020 25th International Conference on Pattern Recognition (ICPR), 2671-2676, 2021 | 13 | 2021 |
| Image denoising using attention-residual convolutional neural networks RG Pires, DFS Santos, CFG Santos, MCS Santana, JP Papa 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2020 | 12 | 2020 |
| A hybrid approach for breast mass categorization LA Passos, C Santos, CR Pereira, LCS Afonso, JP Papa VipIMAGE 2019: Proceedings of the VII ECCOMAS Thematic Conference on …, 2019 | 10 | 2019 |
| Does removing pooling layers from convolutional neural networks improve results? CFG Santos, TP Moreira, D Colombo, JP Papa SN Computer Science 1 (5), 275, 2020 | 8 | 2020 |
| Normalizing images is good to improve computer-assisted COVID-19 diagnosis CFG dos Santos, LA Passos, MC de Santana, JP Papa Data science for COVID-19, 51-62, 2021 | 7 | 2021 |
| Does pooling really matter? an evaluation on gait recognition CFG dos Santos, TP Moreira, D Colombo, JP Papa Iberoamerican congress on pattern recognition, 751-760, 2019 | 4 | 2019 |
| Visual question answering: A survey on techniques and common trends in recent literature ACAM de Faria, FC Bastos, JVNA da Silva, VL Fabris, VS Uchoa, ... arXiv preprint arXiv:2305.11033, 2023 | 3 | 2023 |
| Neurosymbolic AI and its Taxonomy: a survey W Gibaut, L Pereira, F Grassiotto, A Osorio, E Gadioli, A Munoz, S Gomes, ... arXiv preprint arXiv:2305.08876, 2023 | 3 | 2023 |
| eXplainable Artificial Intelligence on Medical Images: A survey MVS da Silva, RR Arrais, JVS da Silva, FS Tânios, MA Chinelatto, ... arXiv preprint arXiv:2305.07511, 2023 | 2 | 2023 |
| Avoiding overfiting: new algorithms to improve generalisation in convolutional neural networks CFG Santos Universidade Federal de São Carlos, 2022 | 2 | 2022 |
| Maxdropoutv2: an improved method to drop out neurons in convolutional neural networks CFG Santos, M Roder, LA Passos, JP Papa Iberian Conference on Pattern Recognition and Image Analysis, 271-282, 2022 | 2 | 2022 |
| Improving pre-trained weights through meta-heuristics fine-tuning GH De Rosa, M Roder, JP Papa, CFG Dos Santos 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | 2 | 2021 |
| BreastNet: breast cancer categorization using convolutional neural networks C Santos, L Afonso, C Pereira, J Papa 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems …, 2020 | 2 | 2020 |
| Isp meets deep learning: A survey on deep learning methods for image signal processing MHM da Silva, JVS da Silva, RR Arrais, WBGA Neto, LT Lopes, GA Bileki, ... arXiv preprint arXiv:2305.11994, 2023 | 1 | 2023 |
| Rethinking Regularization with Random Label Smoothing CFG dos Santos, JP Papa Neural Processing Letters 56 (3), 1-10, 2024 | | 2024 |
| Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices VL Fabris, F de Castro Bastos, ACAM de Faria, JVNA da Silva, PA Luiz, ... Iberoamerican Congress on Pattern Recognition, 406-419, 2023 | | 2023 |
| Optical character recognition using deep learning CFG Santos Universidade Estadual Paulista (Unesp), 2018 | | 2018 |
João Paulo PapaFull Professor, IEEE Senior, Alexander von Humboldt Research Fellow, São Paulo State University在 unesp.br 的电子邮件经过验证
