Leonardo F. S. Scabini

According to our database, Leonardo F. S. Scabini authored at least 24 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion.

Kallil M. C. Zielinski, Leonardo F. S. Scabini, Lucas Correia Ribas, Núbia Rosa da Silva, Hans Beeckman, Jan Verwaeren, Odemir M. Bruno, Bernard De Baets

Comput. Electron. Agric., 2025

2024

Local complex features learned by randomized neural networks for texture analysis.

Lucas Correia Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá Junior, Odemir M. Bruno

Pattern Anal. Appl., March, 2024

A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis.

Leonardo F. S. Scabini, Andre Sacilotti, Kallil M. C. Zielinski, Lucas Correia Ribas, Bernard De Baets, Odemir M. Bruno

CoRR, 2024

Prediction of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning.

Sina Borzooei, Leonardo F. S. Scabini, Gisele Helena Barboni Miranda, Saba Daneshgar, Lukas Deblieck, Piet De Langhe, Odemir Martinez Bruno, Bernard De Baets, Ingmar Nopens, Elena Torfs

CoRR, 2024

Randomized Encoding Ensemble: A New Approach for Texture Representation.

Ricardo T. Fares, Ana Catarina M. Vicentim, Leonardo F. S. Scabini, Kallil M. C. Zielinski, Rachid Jennane, Odemir M. Bruno, Lucas Correia Ribas

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.

Leonardo F. S. Scabini, Kallil M. C. Zielinski, Ricardo T. Fares, Emir Konuk, Gisele Miranda, Rosana Marta Kolb, Lucas Correia Ribas, Odemir M. Bruno

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

2023

RADAM: Texture recognition through randomized aggregated encoding of deep activation maps.

Leonardo F. S. Scabini, Kallil M. C. Zielinski, Lucas Correia Ribas, Wesley Nunes Gonçalves, Bernard De Baets, Odemir M. Bruno

Pattern Recognit., November, 2023

Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors.

Lucas D. C. de Castro, Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno, Osvaldo N. Oliveira Jr.

Expert Syst. Appl., 2023

2022

Improving Deep Neural Network Random Initialization Through Neuronal Rewiring.

Leonardo F. S. Scabini, Bernard De Baets, Odemir M. Bruno

CoRR, 2022

Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification.

Leonardo F. S. Scabini, Lucas Correia Ribas, Eraldo Ribeiro, Odemir M. Bruno

Proceedings of the Network Science - 7th International Winter Conference, 2022

Complex Texture Features Learned by Applying Randomized Neural Network on Graphs.

Kallil M. C. Zielinski, Lucas Correia Ribas, Leonardo F. S. Scabini, Odemir M. Bruno

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

A complex network approach for fish species recognition based on otolith shape.

Lucas Correia Ribas, Leonardo F. S. Scabini, Odemir M. Bruno

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

2021

Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties.

Leonardo F. S. Scabini, Odemir M. Bruno

CoRR, 2021

2020

Importance of Vertices in Complex Networks Applied to Texture Analysis.

Sávio Vinícius Albieri Barone Cantero, Diogo Nunes Gonçalves, Leonardo F. S. Scabini, Wesley Nunes Gonçalves

IEEE Trans. Cybern., 2020

Fusion of complex networks and randomized neural networks for texture analysis.

Lucas Correia Ribas, Jarbas Joaci de Mesquita Sá Junior, Leonardo F. S. Scabini, Odemir M. Bruno

Pattern Recognit., 2020

Spatio-spectral networks for color-texture analysis.

Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno

Inf. Sci., 2020

Learning Local Complex Features using Randomized Neural Networks for Texture Analysis.

Lucas Correia Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá Junior, Odemir M. Bruno

CoRR, 2020

Social Interaction Layers in Complex Networks for the Dynamical Epidemic Modeling of COVID-19 in Brazil.

Leonardo F. S. Scabini, Lucas Correia Ribas, Mariane Barros Neiva, Altamir G. B. Junior, Alex Josué Flórez Farfán, Odemir M. Bruno

CoRR, 2020

2019

Multilayer complex network descriptors for color-texture characterization.

Leonardo F. S. Scabini, Rayner H. Montes Condori, Wesley Nunes Gonçalves, Odemir M. Bruno

Inf. Sci., 2019

Evaluating Deep Convolutional Neural Networks as Texture Feature Extractors.

Leonardo F. S. Scabini, Rayner H. Montes Condori, Lucas Correia Ribas, Odemir M. Bruno

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Deep Convolutional Neural Networks for Plant Species Characterization Based on Leaf Midrib.

Leonardo F. S. Scabini, Rayner M. Montes Condori, Isabella C. L. Munhoz, Odemir M. Bruno

Proceedings of the Computer Analysis of Images and Patterns, 2019

A Web-Based System to Assess Texture Analysis Methods and Datasets.

Alex Josué Flórez Farfán, Leonardo F. S. Scabini, Odemir M. Bruno

Proceedings of the Computer Analysis of Images and Patterns, 2019

2017

Angular descriptors of complex networks: A novel approach for boundary shape analysis.

Leonardo F. S. Scabini, Danilo O. Fistarol, Sávio Vinícius Albieri Barone Cantero, Wesley Nunes Gonçalves, Bruno Brandoli Machado, José F. Rodrigues Jr.

Expert Syst. Appl., 2017

2015

Texture Analysis by Bag-Of-Visual-Words of Complex Networks.

Leonardo F. S. Scabini, Wesley Nunes Gonçalves, Amaury Antônio de Castro Junior

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015