Leonardo F. S. Scabini
Orcid: 0000-0003-3986-7747
According to our database1,
Leonardo F. S. Scabini
authored at least 24 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion.
Comput. Electron. Agric., 2025
2024
Pattern Anal. Appl., March, 2024
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis.
CoRR, 2024
Prediction of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning.
CoRR, 2024
Proceedings of the 31st International Conference on Systems, Signals and Image Processing, 2024
Deep Texture Feature Aggregation on Leaf Microscopy Images for Brazilian Plant Species Recognition.
Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024
2023
RADAM: Texture recognition through randomized aggregated encoding of deep activation maps.
Pattern Recognit., November, 2023
Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors.
Expert Syst. Appl., 2023
2022
CoRR, 2022
Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification.
Proceedings of the Network Science - 7th International Winter Conference, 2022
Proceedings of the Eleventh International Conference on Image Processing Theory, 2022
Proceedings of the Eleventh International Conference on Image Processing Theory, 2022
2021
Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties.
CoRR, 2021
2020
IEEE Trans. Cybern., 2020
Pattern Recognit., 2020
Learning Local Complex Features using Randomized Neural Networks for Texture Analysis.
CoRR, 2020
Social Interaction Layers in Complex Networks for the Dynamical Epidemic Modeling of COVID-19 in Brazil.
CoRR, 2020
2019
Inf. Sci., 2019
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019
Deep Convolutional Neural Networks for Plant Species Characterization Based on Leaf Midrib.
Proceedings of the Computer Analysis of Images and Patterns, 2019
Proceedings of the Computer Analysis of Images and Patterns, 2019
2017
Angular descriptors of complex networks: A novel approach for boundary shape analysis.
Expert Syst. Appl., 2017
2015
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015