Lucas Correia Ribas

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 33

Top Topics

Texture Analysis

Feature Extractors

Top Venues

Pattern Recognit.

Expert Syst. Appl.

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)
Ricardo T. Fares, Lucas Correia Ribas
A New Approach to Learn Spatio-Spectral Texture Representation with Randomized Networks: Application to Brazilian Plant Species Identification. EANN (2024)
Lucas Correia Ribas, Odemir M. Bruno
Learning a complex network representation for shape classification. Pattern Recognit. 154 (2024)
Kallil M. C. Zielinski, Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno
A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognit. 146 (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)
Lucas Correia Ribas, Jarbas Joaci de Mesquita Sá Junior, Antoine Manzanera, Odemir M. Bruno
Learning graph representation with Randomized Neural Network for dynamic texture classification. Appl. Soft Comput. 114 (2022)
Kallil M. C. Zielinski, Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno
A Network Classification Method based on Density Time Evolution Patterns Extracted from Network Automata. CoRR (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)
Lucas Correia Ribas, Rabia Riad, Rachid Jennane, Odemir M. Bruno
A complex network based approach for knee Osteoarthritis detection: Data from the Osteoarthritis initiative. Biomed. Signal Process. Control. 71 (Part) (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)
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)
Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno
Life-Like Network Automata descriptor based on binary patterns for network classification. Inf. Sci. 515 (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)
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)
Lucas Correia Ribas, Antoine Manzanera, Odemir M. Bruno
A Fractal-Based Approach to Network Characterization Applied to Texture Analysis. CAIP (1) (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)
Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir M. Bruno
Dynamic texture analysis with diffusion in networks. Digit. Signal Process. 92 (2019)
Jarbas Joaci de Mesquita Sá Junior, Lucas Correia Ribas, Odemir Martinez Bruno
Randomized neural network based signature for dynamic texture classification. Expert Syst. Appl. 135 (2019)
Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno
Spatio-spectral networks for color-texture analysis. CoRR (2019)
Lucas Correia Ribas, Mariane Barros Neiva, Odemir Martinez Bruno
Distance transform network for shape analysis. Inf. Sci. 470 (2019)
Lucas Correia Ribas, Diogo Nunes Gonçalves, Jonathan de Andrade Silva, Amaury Antônio de Castro Jr., Odemir Martinez Bruno, Wesley Nunes Gonçalves
Fractal dimension of bag-of-visual words. Pattern Anal. Appl. 22 (1) (2019)
Lucas Correia Ribas, Odemir M. Bruno
Dynamic Texture Classification Using Deterministic Partially Self-avoiding Walks on Networks. ICIAP (1) (2019)
Lucas Correia Ribas, Odemir M. Bruno
Deterministic Partially Self-avoiding Walks on Networks for Natural Shapes Classification. CIARP (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)
Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir M. Bruno
Dynamic texture analysis with diffusion in networks. CoRR (2018)
Lucas Correia Ribas, Odemir Martinez Bruno
Fast deterministic tourist walk for texture analysis. CoRR (2016)
Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir Martinez Bruno
Texture analysis using deterministic partially self-avoiding walk with thresholds. CoRR (2016)
Lucas Correia Ribas, Diogo Nunes Gonçalves, Jonatan Patrick Margarido Oruê, Wesley Nunes Gonçalves
Fractal dimension of maximum response filters applied to texture analysis. Pattern Recognit. Lett. 65 (2015)
Rodrigo de Carvalho Gomes, Lucas Correia Ribas, Amaury Antônio de Castro Junior, Wesley Nunes Gonçalves
CPPP/UFMS at ImageCLEF 2014: Robot Vision Task. CLEF (Working Notes) (2014)