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Daniel Carlos Guimarães Pedronette
Daniel Carlos Guimarães Pedronette
Associate Professor, State University of São Paulo (UNESP)
在 unesp.br 的电子邮件经过验证 - 首页
标题
引用次数
年份
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
GC Oliveira, GH Rosa, DCG Pedronette, JP Papa, H Kumar, LA Passos, ...
Biomedical Signal Processing and Control 94, 106263, 2024
2024
Weakly supervised classification through manifold learning and rank-based contextual measures
JGC Presotto, LP Valem, NG de Sá, DCG Pedronette, JP Papa
Neurocomputing 589, 127717, 2024
12024
Manifold information through neighbor embedding projection for image retrieval
GR Leticio, VS Kawai, LP Valem, DCG Pedronette, RS Torres
Pattern Recognition Letters 183, 17-25, 2024
12024
Rank-based Hashing for Effective and Efficient Nearest Neighbor Search for Image Retrieval
VS Kawai, LP Valem, A Baldassin, E Borin, DCG Pedronette, LJ Latecki
ACM Transactions on Multimedia Computing, Communications and Applications, 2024
2024
Manifold Learning for Brain Tumor MRI Image Retrieval and Classification
ALT De Antonio, DCG Pedronette
2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering …, 2023
2023
pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks
G Leticio, LP Valem, LT Lopes, DCG Pedronette
Proceedings of the 31st ACM International Conference on Multimedia, 9680-9684, 2023
2023
Development and Implementation of an IA-Based System to Automate Textual Classification on Daily Drilling Reports
S Perrout, AF Riente, G Vanni, J Anjos, DH Mendes, I Guilherme, ...
Offshore Technology Conference Brasil, D021S028R003, 2023
2023
Self-Supervised Regression for Query Performance Prediction on Image Retrieval
LP Valem, VH Pereira-Ferrero, DCG Pedronette
2023 IEEE Sixth International Conference on Artificial Intelligence and …, 2023
12023
Feature Fusion and Augmentation based on Manifold Ranking for Image Classification
VH Pereira-Ferrero, LP Valem, GR Leticio, DCG Pedronette
2023 IEEE Sixth International Conference on Artificial Intelligence and …, 2023
2023
Regression by re-ranking
FMF Gonçalves, DCG Pedronette, R da Silva Torres
Pattern Recognition 140, 109577, 2023
12023
A Meta-Feature Model for Exploiting Different Regressors to Estimate Sugarcane Crop Yield
LAF Barbosa, DCG Pedronette, IR Guilherme
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
2023
Semi-supervised Time Series Classification Through Image Representations
B Rozin, E Bergamim, DCG Pedronette, FA Breve
International Conference on Computational Science and Its Applications, 48-65, 2023
2023
Rank flow embedding for unsupervised and semi-supervised manifold learning
LP Valem, DCG Pedronette, LJ Latecki
IEEE Transactions on Image Processing 32, 2811-2826, 2023
22023
Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion
L Pascotti Valem, DC Guimarães Pedronette
arXiv e-prints, arXiv: 2304.14321, 2023
2023
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification
L Pascotti Valem, DC Guimarães Pedronette, LJ Latecki
arXiv e-prints, arXiv: 2304.12492, 2023
2023
Feature augmentation based on manifold ranking and LSTM for image classification
VH Pereira-Ferrero, LP Valem, DCG Pedronette
Expert Systems with Applications 213, 118995, 2023
92023
Estudo comparativo entre diferentes regressores para estimar produtividade de cana-de-açúcar
LAF Barbosa, DCG Pedronette, IR Guilherme
SBSR 20, 2023
12023
Self-supervised clustering based on manifold learning and graph convolutional networks
LT Lopes, DCG Pedronette
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
42023
Graph Convolutional Networks based on manifold learning for semi-supervised image classification
LP Valem, DCG Pedronette, LJ Latecki
Computer Vision and Image Understanding 227, 103618, 2023
52023
Weakly supervised learning based on hypergraph manifold ranking
JGC Presotto, SF dos Santos, LP Valem, FA Faria, JP Papa, J Almeida, ...
Journal of Visual Communication and Image Representation 89, 103666, 2022
22022
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