Leonardo F. S. Scabini
Cited by
Cited by
Texture analysis by bag-of-visual-words of complex networks
LFS Scabini, WN Gonçalves, AA Castro
Iberoamerican Congress on Pattern Recognition, 485-492, 2015
Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3
VC Rodrigues, JC Soares, AC Soares, DC Braz, ME Melendez, LC Ribas, ...
Talanta 222, 121444, 2021
Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil
LFS Scabini, LC Ribas, MB Neiva, AGB Junior, AJF Farfán, OM Bruno
Physica A: Statistical Mechanics and its Applications 564, 125498, 2021
Multilayer complex network descriptors for color–texture characterization
LFS Scabini, RHM Condori, WN Gonçalves, OM Bruno
Information Sciences 491, 30-47, 2019
Fusion of complex networks and randomized neural networks for texture analysis
LC Ribas, JJMS Junior, LFS Scabini, OM Bruno
Pattern Recognition 103, 107189, 2020
Cellular automata rule characterization and classification using texture descriptors
J Machicao, LC Ribas, LFS Scabini, OM Bruno
Physica A: Statistical Mechanics and its Applications 497, 109-117, 2018
Angular descriptors of complex networks: A novel approach for boundary shape analysis
LFS Scabini, DO Fistarol, SV Cantero, WN Gonçalves, BB Machado, ...
Expert Systems with Applications 89, 362-373, 2017
Importance of vertices in complex networks applied to texture analysis
SVAB Cantero, DN Goncalves, LF dos Santos Scabini, WN Goncalves
IEEE transactions on cybernetics 50 (2), 777-786, 2018
A complex network approach for nanoparticle agglomeration analysis in nanoscale images
BB Machado, LF Scabini, JPM Orue, MS de Arruda, DN Goncalves, ...
Journal of Nanoparticle Research 19 (2), 65, 2017
Spatio-spectral networks for color-texture analysis
LFS Scabini, LC Ribas, OM Bruno
Information Sciences 515, 64-79, 2020
Learning Local Complex Features using Randomized Neural Networks for Texture Analysis
LC Ribas, LFS Scabini, JJMS Junior, OM Bruno
arXiv preprint arXiv:2007.05643, 2020
Evaluating Deep Convolutional Neural Networks as Texture Feature Extractors
LFS Scabini, RHM Condori, LC Ribas, OM Bruno
International Conference on Image Analysis and Processing, 192-202, 2019
Nerds da fronteira-f180 team description paper
JPM Oruê, R de Carvalho Gomes, SVAB Cantero, WN Gonçalves
Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties
LFS Scabini, OM Bruno
arXiv preprint arXiv:2107.14062, 2021
Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques
JC Soares, AC Soares, VC Rodrigues, PRA Oiticica, ...
Materials Chemistry Frontiers 5 (15), 5658-5670, 2021
Artificial neural networks and complex networks: an integra-tive study of topological properties and pattern recognition
X Semana Integrada do Instituto de Física de São Carlos 515, 203, 2020
Deep Convolutional Neural Networks for Plant Species Characterization Based on Leaf Midrib
LFS Scabini, RM Condori, ICL Munhoz, OM Bruno
International Conference on Computer Analysis of Images and Patterns, 389-401, 2019
A Web-Based System to Assess Texture Analysis Methods and Datasets
AJF Farfán, LFS Scabini, OM Bruno
International Conference on Computer Analysis of Images and Patterns, 425-437, 2019
Os coeficientes de Hurst e de variação espacial aplicados na tarefa de classificação de espécies vegetais
LF Scabini, L Abreu, DN Gonçalves, D Boaventura, WN Gonçalves
PORANDU-Revista de Divulgação Científica em Ciências Exatas e Tecnológicas 1 …, 2015
Análise de imagens multiespectrais através de redes complexas
LFS Scabini
Universidade de São Paulo, 0
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Articles 1–20