Leonardo Henrique Da Costa Longo

Orcid: 0009-0001-5772-2499

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

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Bibliography

2024
Exploring DeepDream and XAI Representations for Classifying Histological Images.
SN Comput. Sci., April, 2024

Classification of Multiple H&E Images via an Ensemble Computational Scheme.
Entropy, January, 2024

Higuchi Fractal Dimension with a multidimensional approach for color images.
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
A Hermite polynomial algorithm for detection of lesions in lymphoma images.
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


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