Texture Analysis by Bag-Of-Visual-Words of Complex Networks. - Leonardo F. S. Scabini; Wesley Nunes Gonçalves; Amaury Antônio de Castro Junior (CIARP, 2015)

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)

A Web-Based System to Assess Texture Analysis Methods and Datasets. - Alex Josué Flórez Farfán; Leonardo F. S. Scabini; Odemir M. Bruno (CAIP (2), 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 (CAIP (2), 2019)

Evaluating Deep Convolutional Neural Networks as Texture Feature Extractors. - Leonardo F. S. Scabini; Rayner H. Montes Condori; Lucas Correia Ribas; Odemir M. Bruno (ICIAP (2), 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)

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)

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)

Spatio-spectral networks for color-texture analysis. - Leonardo F. S. Scabini; Lucas Correia Ribas; Odemir M. Bruno (Inf. Sci., 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)

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)

Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties. - Leonardo F. S. Scabini; Odemir M. Bruno (CoRR, 2021)

A complex network approach for fish species recognition based on otolith shape. - Lucas Correia Ribas; Leonardo F. S. Scabini; Odemir M. Bruno (IPTA, 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 (IPTA, 2022)

Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification. - Leonardo F. S. Scabini; Lucas Correia Ribas; Eraldo Ribeiro; Odemir M. Bruno (NetSci-X, 2022)

Improving Deep Neural Network Random Initialization Through Neuronal Rewiring. - Leonardo F. S. Scabini; Bernard De Baets; Odemir M. Bruno (CoRR, 2022)

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)

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., 2023)

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 (ICMLT, 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 (IWSSIP, 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)

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)

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., 2024)

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)

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; Lucas Correia Ribas; Kevin Smith 001; Odemir M. Bruno (CoRR, 2025)