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Leonardo F. S. Scabini · SciRah

Researcher profile · Semantic Scholar

Leonardo F. S. Scabini

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Leonardo F. S. Scabini — researcher profile on SciRah

h-index: 13
Works: 36
Citations: 564

Most-cited papers

Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties
Leonardo F. S. Scabini, O. Bruno
2021Physica A: Statistical Mechanics and its Applications97 citations Open access
Semantic Scholar
Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil
Leonardo F. S. Scabini, L. C. Ribas, M. Neiva, Altamir Gomes Bispo +2 more
2020Physica68 citations Open access
Semantic Scholar
Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3
V. C. Rodrigues, J. C. Soares, A. Soares, D. C. Braz +8 more
2020Talanta: The International Journal of Pure and Applied Analytical Chemistry58 citations Open access
Semantic Scholar
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps
Leonardo F. S. Scabini, Kallil M. C. Zielinski, L. C. Ribas, W. Gonçalves +2 more
2023Pattern Recognition47 citations Open access
Semantic Scholar
Prediction of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning
Sina Borzooei, Leonardo F. S. Scabini, G. Miranda, S. Daneshgar +6 more
2024Journal of Water Process Engineering44 citations Open access
Semantic Scholar
Fusion of complex networks and randomized neural networks for texture analysis
L. C. Ribas, Jarbas Joaci de Mesquita Sá, Leonardo F. S. Scabini, O. Bruno
2018Pattern Recognition35 citations Open access
Semantic Scholar
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis
Leonardo F. S. Scabini, Andre Sacilotti, Kallil M. C. Zielinski, L. C. Ribas +2 more
2024Journal of Imaging33 citations Open access
Semantic Scholar
Multilayer Complex Network Descriptors for Color-Texture Characterization
Leonardo F. S. Scabini, R. H. Condori, W. Gonçalves, O. Bruno
2018Information Sciences26 citations Open access
Semantic Scholar
Spatio-spectral networks for color-texture analysis
Leonardo F. S. Scabini, L. C. Ribas, O. Bruno
2019Information Sciences24 citations Open access
Semantic Scholar
Supporting Information Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques
J. C. Soares, A. Soares, V. C. Rodrigues, P. Ramón +18 more
202016 citations
Semantic Scholar
Texture Analysis by Bag-Of-Visual-Words of Complex Networks
Leonardo F. S. Scabini, W. Gonçalves, Amaury A. Castro
2015Iberoamerican Congress on Pattern Recognition16 citations Open access
Semantic Scholar
Color-texture classification based on spatio-spectral complex network representations
L. C. Ribas, Leonardo F. S. Scabini, R. H. Condori, O. Bruno
2024Physica A: Statistical Mechanics and its Applications13 citations Open access
Semantic Scholar
Cellular automata rule characterization and classification using texture descriptors
Jeaneth Machicao, L. C. Ribas, Leonardo F. S. Scabini, O. Bruno
201813 citations
Semantic Scholar
Angular descriptors of complex networks: A novel approach for boundary shape analysis
Leonardo F. S. Scabini, Danilo O. Fistarol, Sávio V. Cantero, W. Gonçalves +2 more
2017Expert systems with applications13 citations Open access
Semantic Scholar
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring
Leonardo F. S. Scabini, B. De Baets, O. Bruno
2022arXiv.org11 citations Open access
Semantic Scholar
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 C. Ribas, N. D. da Silva +4 more
2025Computers and Electronics in Agriculture10 citations Open access
Semantic Scholar
A complex network approach for nanoparticle agglomeration analysis in nanoscale images
Bruno Brandoli Machado, Leonardo F. S. Scabini, Jonatan Patrick Margarido Orue, Mauro dos Santos de Arruda +4 more
2016Journal of nanoparticle research8 citations Open access
Semantic Scholar
Evaluating Deep Convolutional Neural Networks as Texture Feature Extractors
Leonardo F. S. Scabini, Rayner H. Montes Condori, L. C. Ribas, O. Bruno
2019International Conference on Image Analysis and Processing5 citations
Semantic Scholar
Local complex features learned by randomized neural networks for texture analysis
L. C. Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá, O. Bruno
2024Pattern Analysis and Applications4 citations Open access
Semantic Scholar
Complex Texture Features Learned by Applying Randomized Neural Network on Graphs
Kallil M. C. Zielinski, L. C. Ribas, Leonardo F. S. Scabini, O. Bruno
2022International Conference on Image Processing Theory Tools and Applications4 citations
Semantic Scholar
Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion
Kallil M. C. Zielinski, Leonardo F. S. Scabini, L. C. Ribas, N. D. da Silva +4 more
2024arXiv.org3 citations
Semantic Scholar
Randomized Encoding Ensemble: A New Approach for Texture Representation
Ricardo T. Fares, Ana Catarina M. Vicentim, Leonardo F. S. Scabini, Kallil M. C. Zielinski +3 more
2024International Conference on Systems, Signals, and Image Processing3 citations
Semantic Scholar
Improving deep neural network random initialization through neuronal rewiring
Leonardo F. S. Scabini, B. De Baets, O. Bruno
2024Neurocomputing3 citations Open access
Semantic Scholar
Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification
Leonardo F. S. Scabini, L. C. Ribas, Eraldo Ribeiro, O. Bruno
2022International School and Conference on Network Science X3 citations
Semantic Scholar
Exploring neighborhood variancy for rule search optimization in Life-like Network Automata
Kallil M. C. Zielinski, Leonardo F. S. Scabini, Lucas C. Ribas, O. Bruno
20242024 14th International Conference on Pattern Recognition Systems (ICPRS)2 citations
Semantic Scholar
A complex network approach for fish species recognition based on otolith shape
L. C. Ribas, Leonardo F. S. Scabini, O. Bruno
2022International Conference on Image Processing Theory Tools and Applications2 citations
Semantic Scholar
Deep Convolutional Neural Networks for Plant Species Characterization Based on Leaf Midrib
Leonardo F. S. Scabini, Rayner M. Montes Condori, Isabella C. L. Munhoz, O. Bruno
2019International Conference on Computer Analysis of Images and Patterns2 citations
Semantic Scholar
Morphology-informed deep learning for risk assessment of filamentous bulking in a full-scale industrial wastewater treatment plant.
Sina Borzooei, Leonardo F. S. Scabini, Jun Zhu, S. Daneshgar +3 more
2026Environmental Research1 citations
Semantic Scholar
VORTEX: Challenging CNNs at texture recognition by using vision transformers with orderless and randomized token encodings
Leonardo F. S. Scabini, Kallil M. C. Zielinski, Emir Konuk, Ricardo T. Fares +3 more
2026Neurocomputing1 citations
Semantic Scholar
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings
Leonardo F. S. Scabini, Kallil M. C. Zielinski, Emir Konuk, Ricardo T. Fares +3 more
2025arXiv.org1 citations
Semantic Scholar
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 +4 more
2024International Conference on Machine Learning Technologies1 citations
Semantic Scholar
Complex networks for modeling texture and spectral features of hyperspectral images for environmental analysis
Leonardo F. S. Scabini, Kallil M. C. Zielinski, M. Fernandes, Ricardo T. Fares +3 more
2026Comput. Biol. Medicine0 citations
Semantic Scholar
Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors
Lucas D. C. de Castro, Leonardo F. S. Scabini, L. C. Ribas, O. Bruno +1 more
2023Expert systems with applications0 citations Open access
Semantic Scholar
Learning Local Complex Features using Randomized Neural Networks for Texture Analysis
L. C. Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá, O. Bruno
2020arXiv.org0 citations
Semantic Scholar
A Web-Based System to Assess Texture Analysis Methods and Datasets
A. J. F. Farfán, Leonardo F. S. Scabini, O. Bruno
2019International Conference on Computer Analysis of Images and Patterns0 citations
Semantic Scholar
Os coeficientes de Hurst e de variação espacial aplicados na tarefa de classificação de espécies vegetais
Leonardo F. S. Scabini, L. Abreu, D. Gonçalves, Diogo Boaventura +1 more
20150 citations
Semantic Scholar

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