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RAYNER HAROLD MONTES CONDORI
RAYNER HAROLD MONTES CONDORI
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Title
Cited by
Cited by
Year
Comparison between traditional texture methods and deep learning descriptors for detection of nitrogen deficiency in maize crops
RHM Condori, LM Romualdo, OM Bruno, PH de Cerqueira Luz
2017 Workshop of Computer Vision (WVC), 7-12, 2017
262017
Multilayer complex network descriptors for color–texture characterization
LFS Scabini, RHM Condori, WN Gonçalves, OM Bruno
Information Sciences 491, 30-47, 2019
242019
Automatic classification of physical defects in green coffee beans using CGLCM and SVM
RHM Condori, JHC Humari, CE Portugal-Zambrano, ...
Computing Conference (CLEI), 2014 XL Latin American, 2014
142014
Analysis of activation maps through global pooling measurements for texture classification
RHM Condori, OM Bruno
Information Sciences 555, 260-279, 2021
72021
Evaluating deep convolutional neural networks as texture feature extractors
LFS Scabini, RHM Condori, LC Ribas, OM Bruno
Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019
32019
WVC 2017
RT Vieira, T Negri, RHM Condori, L Maria, LF Rodrigues, MC Naldi, ...
2
Color-texture classification based on spatio-spectral complex network representations
LC Ribas, LFS Scabini, RHM Condori, OM Bruno
Physica A: Statistical Mechanics and its Applications 635, 129518, 2024
2024
Multi-layer analysis of convolutional neural networks for transfer learning applications
RHM Condori
Universidade de São Paulo, 2022
2022
Análise de textura em imagens baseado em medidas de complexidade
RHM Condori
Universidade de São Paulo, 2015
2015
Spatio-Spectral Representation Learning for Color-Texture Classification
LC Ribas, LFS Scabini, RHM Condori, O Bruno
Available at SSRN 4266882, 0
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Articles 1–10