Leonardo F. S. Scabini

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 26

Top Topics

Texture Analysis

Feature Extractors

Top Venues

Pattern Recognit.

Publications

Leonardo F. S. Scabini, Andre Sacilotti, Kallil M. C. Zielinski, Lucas Correia Ribas, Bernard De Baets, Odemir M. Bruno
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis. CoRR (2024)
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
Prediction of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning. CoRR (2024)
Lucas Correia Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá Junior, Odemir M. Bruno
Local complex features learned by randomized neural networks for texture analysis. Pattern Anal. Appl. 27 (1) (2024)
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
Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion. CoRR (2024)
Leonardo F. S. Scabini, Kallil M. C. Zielinski, Lucas Correia Ribas, Wesley Nunes Gonçalves, Bernard De Baets, Odemir M. Bruno
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps. CoRR (2023)
Leonardo F. S. Scabini, Kallil M. C. Zielinski, Lucas Correia Ribas, Wesley Nunes Gonçalves, Bernard De Baets, Odemir M. Bruno
RADAM: Texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognit. 143 (2023)
Lucas D. C. de Castro, Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno, Osvaldo N. Oliveira Jr.
Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Syst. Appl. 212 (2023)
Lucas Correia Ribas, Leonardo F. S. Scabini, Odemir M. Bruno
A complex network approach for fish species recognition based on otolith shape. IPTA (2022)
Leonardo F. S. Scabini, Lucas Correia Ribas, Eraldo Ribeiro, Odemir M. Bruno
Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification. NetSci-X (2022)
Leonardo F. S. Scabini, Bernard De Baets, Odemir M. Bruno
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring. CoRR (2022)
Kallil M. C. Zielinski, Lucas Correia Ribas, Leonardo F. S. Scabini, Odemir M. Bruno
Complex Texture Features Learned by Applying Randomized Neural Network on Graphs. IPTA (2022)
Leonardo F. S. Scabini, Odemir M. Bruno
Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties. CoRR (2021)
Lucas Correia Ribas, Jarbas Joaci de Mesquita Sá Junior, Leonardo F. S. Scabini, Odemir M. Bruno
Fusion of complex networks and randomized neural networks for texture analysis. Pattern Recognit. 103 (2020)
Leonardo F. S. Scabini, Lucas Correia Ribas, Mariane Barros Neiva, Altamir G. B. Junior, Alex J. F. Farfán, Odemir M. Bruno
Social Interaction Layers in Complex Networks for the Dynamical Epidemic Modeling of COVID-19 in Brazil. CoRR (2020)
Sávio Vinícius Albieri Barone Cantero, Diogo Nunes Gonçalves, Leonardo F. S. Scabini, Wesley Nunes Gonçalves
Importance of Vertices in Complex Networks Applied to Texture Analysis. IEEE Trans. Cybern. 50 (2) (2020)
Lucas Correia Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá Junior, Odemir M. Bruno
Learning Local Complex Features using Randomized Neural Networks for Texture Analysis. CoRR (2020)
Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno
Spatio-spectral networks for color-texture analysis. Inf. Sci. 515 (2020)
Leonardo F. S. Scabini, Rayner M. Montes Condori, Isabella C. L. Munhoz, Odemir M. Bruno
Deep Convolutional Neural Networks for Plant Species Characterization Based on Leaf Midrib. CAIP (2) (2019)
Alex J. F. Farfán, Leonardo F. S. Scabini, Odemir M. Bruno
A Web-Based System to Assess Texture Analysis Methods and Datasets. CAIP (2) (2019)
Leonardo F. S. Scabini, Rayner H. Montes Condori, Lucas Correia Ribas, Odemir M. Bruno
Evaluating Deep Convolutional Neural Networks as Texture Feature Extractors. ICIAP (2) (2019)
Leonardo F. S. Scabini, Rayner H. Montes Condori, Wesley Nunes Gonçalves, Odemir M. Bruno
Multilayer complex network descriptors for color-texture characterization. Inf. Sci. 491 (2019)
Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno
Spatio-spectral networks for color-texture analysis. CoRR (2019)
Leonardo F. S. Scabini, Rayner H. Montes Condori, Wesley Nunes Gonçalves, Odemir M. Bruno
Multilayer Complex Network Descriptors for Color-Texture Characterization. CoRR (2018)
Lucas Correia Ribas, Jarbas J. de M. Sá Junior, Leonardo F. S. Scabini, Odemir M. Bruno
Fusion of complex networks and randomized neural networks for texture analysis. CoRR (2018)
Leonardo F. S. Scabini, Danilo O. Fistarol, Sávio Vinícius Albieri Barone Cantero, Wesley Nunes Gonçalves, Bruno Brandoli Machado, José F. Rodrigues Jr.
Angular descriptors of complex networks: A novel approach for boundary shape analysis. Expert Syst. Appl. 89 (2017)
Leonardo F. S. Scabini, Wesley Nunes Gonçalves, Amaury Antônio de Castro Junior
Texture Analysis by Bag-Of-Visual-Words of Complex Networks. CIARP (2015)