Leonardo Henrique Da Costa Longo
Orcid: 0009-0001-5772-2499Affiliations:
- São Paulo State University, São José do Rio Preto, Brazil
According to our database1,
Leonardo Henrique Da Costa Longo
authored at least 13 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
SN Comput. Sci., April, 2024
Entropy, January, 2024
Softw. Impacts, 2024
2023
Classification of H&E Images via CNN Models with XAI Approaches, DeepDream Representations and Multiple Classifiers.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023
Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
2022
Percolation Features: An approach for evaluating fractal properties in colour images.
Softw. Impacts, December, 2022
Classification of lymphomas images with polynomial strategy: An application with Ridge regularization.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022
Classification of H&E images exploring ensemble learning with two-stage feature selection.
Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022
Multidimensional shannon entropy (HM) as an approach to classify H&E colorectal images.
Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022
Ensembles of fractal descriptors with multiple deep learned features for classification of histological images.
Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022
2021
Pattern Anal. Appl., 2021
2019
Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
2017
Features based on the percolation theory for quantification of non-Hodgkin lymphomas.
Comput. Biol. Medicine, 2017