CPPP/UFMS at ImageCLEF 2014: Robot Vision Task. - Rodrigo de Carvalho Gomes; Lucas Correia Ribas; Amaury Antônio de Castro Junior; Wesley Nunes Gonçalves (CLEF (Working Notes), 2014)

Fractal dimension of maximum response filters applied to texture analysis. - Lucas Correia Ribas; Diogo Nunes Gonçalves; Jonatan Patrick Margarido Oruê; Wesley Nunes Gonçalves (Pattern Recognit. Lett., 2015)

Fast deterministic tourist walk for texture analysis. - Lucas Correia Ribas; Odemir Martinez Bruno (CoRR, 2016)

Texture analysis using deterministic partially self-avoiding walk with thresholds. - Lucas Correia Ribas; Wesley Nunes Gonçalves; Odemir Martinez Bruno (CoRR, 2016)

Deterministic Partially Self-avoiding Walks on Networks for Natural Shapes Classification. - Lucas Correia Ribas; Odemir M. Bruno (CIARP, 2018)

A Fractal-Based Approach to Network Characterization Applied to Texture Analysis. - Lucas Correia Ribas; Antoine Manzanera; Odemir M. Bruno (CAIP (1), 2019)

Dynamic Texture Classification Using Deterministic Partially Self-avoiding Walks on Networks. - Lucas Correia Ribas; Odemir M. Bruno (ICIAP (1), 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)

Dynamic texture analysis with diffusion in networks. - Lucas Correia Ribas; Wesley Nunes Gonçalves; Odemir M. Bruno (Digit. Signal Process., 2019)

Randomized neural network based signature for dynamic texture classification. - Jarbas Joaci de Mesquita Sá Junior; Lucas Correia Ribas; Odemir Martinez Bruno (Expert Syst. Appl., 2019)

Distance transform network for shape analysis. - Lucas Correia Ribas; Mariane Barros Neiva; Odemir Martinez Bruno (Inf. Sci., 2019)

Fractal dimension of bag-of-visual words. - Lucas Correia Ribas; Diogo Nunes Gonçalves; Jonathan de Andrade Silva; Amaury Antônio de Castro Jr.; Odemir Martinez Bruno; Wesley Nunes Gonçalves (Pattern Anal. Appl., 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)

Life-Like Network Automata descriptor based on binary patterns for network classification. - Lucas Correia Ribas; Jeaneth Machicao; Odemir M. Bruno (Inf. Sci., 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)

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)

Learning graph representation with Randomized Neural Network for dynamic texture classification. - Lucas Correia Ribas; Jarbas Joaci de Mesquita Sá Junior; Antoine Manzanera; Odemir M. Bruno (Appl. Soft Comput., 2022)

A complex network based approach for knee Osteoarthritis detection: Data from the Osteoarthritis initiative. - Lucas Correia Ribas; Rabia Riad; Rachid Jennane; Odemir M. Bruno (Biomed. Signal Process. Control., 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)

Synthetic networks for classification methods. - Jeaneth Machicao; Kallil M. C. Zielinski; Lucas Correia Ribas; Odemir M. Bruno (Zenodo, 2023)

Real world networks for network classification method evaluation. - Jeaneth Machicao; Kallil M. C. Zielinski; Lucas Correia Ribas; Odemir M. Bruno (Zenodo, 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)

A New Approach to Learn Spatio-Spectral Texture Representation with Randomized Networks: Application to Brazilian Plant Species Identification. - Ricardo T. Fares; Lucas Correia Ribas (EANN, 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 (ICMLT, 2024)

Randomized Autoencoder-based Representation for Dynamic Texture Recognition. - Ricardo T. Fares; Lucas Correia Ribas (IWSSIP, 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)

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)

Learning a complex network representation for shape classification. - Lucas Correia Ribas; Odemir M. Bruno (Pattern Recognit., 2024)

A network classification method based on density time evolution patterns extracted from network automata. - Kallil M. C. Zielinski; Lucas Correia Ribas; Jeaneth Machicao; Odemir M. Bruno (Pattern Recognit., 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)

Exploring Local Graphs via Random Encoding for Texture Representation Learning. - Ricardo T. Fares; Luan B. Guerra; Lucas Correia Ribas (VISIGRAPP (3): VISAPP, 2025)

Volumetric Color-Texture Representation for Colorectal Polyp Classification in Histopathology Images. - Ricardo T. Fares; Lucas Correia Ribas (VISIGRAPP (3): VISAPP, 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)

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)