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Claudio Santos
Claudio Santos
Otros nombresClaudio F G Santos, Claudio Dos Santos, Claudio Filipi Gonçalves dos Santos
Dirección de correo verificada de ufscar.br - Página principal
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Citado por
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Año
Avoiding overfitting: A survey on regularization methods for convolutional neural networks
CFGD Santos, JP Papa
ACM Computing Surveys (CSUR) 54 (10s), 1-25, 2022
1362022
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
45*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
122021
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
122020
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
92019
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
72020
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
62021
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
42019
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
32023
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
22023
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
22022
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
22021
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
22020
Isp meets deep learning: A survey on deep learning methods for image signal processing
MHM da Silva, JVS da Silva, RR Arrais, WBG de Araújo Neto, LT Lopes, ...
arXiv preprint arXiv:2305.11994, 2023
12023
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
Survey on software ISP methods based on Deep Learning
MHM da Silva, JVS da Silva, RR Arrais, WBGA Neto, LT Lopes, GA Bileki, ...
arXiv preprint arXiv:2305.11994, 2023
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
2023
eXplainable Artificial Intelligence on Medical Images: A Survey (preprint)
MVS da Silva, RR Arrais, JVS da Silva, FS Tânios, MA Chinelatto, ...
2023
Avoiding overfiting: new algorithms to improve generalisation in convolutional neural networks
CFG Santos
Universidade Federal de São Carlos, 2022
2022
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Artículos 1–20