Lucas Correia Ribas

According to our database, Lucas Correia Ribas authored at least 33 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., March, 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., February, 2024

Learning a complex network representation for shape classification.

Lucas Correia Ribas, Odemir M. Bruno

Pattern Recognit., 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

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

CoRR, 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

Proceedings of the 31st International Conference on Systems, Signals and Image Processing, 2024

Randomized Autoencoder-based Representation for Dynamic Texture Recognition.

Ricardo T. Fares, Lucas Correia Ribas

Proceedings of the 31st International Conference on Systems, Signals and Image Processing, 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

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

A New Approach to Learn Spatio-Spectral Texture Representation with Randomized Networks: Application to Brazilian Plant Species Identification.

Ricardo T. Fares, Lucas Correia Ribas

Proceedings of the Engineering Applications of Neural Networks, 2024

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., November, 2023

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

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

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

Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification.

Leonardo F. S. Scabini, Lucas Correia Ribas, Eraldo Ribeiro, Odemir M. Bruno

Proceedings of the Network Science - 7th International Winter Conference, 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

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

A complex network approach for fish species recognition based on otolith shape.

Lucas Correia Ribas, Leonardo F. S. Scabini, Odemir M. Bruno

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

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

Spatio-spectral networks for color-texture analysis.

Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno

Inf. Sci., 2020

Life-Like Network Automata descriptor based on binary patterns for network classification.

Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno

Inf. Sci., 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

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

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

Distance transform network for shape analysis.

Lucas Correia Ribas, Mariane Barros Neiva, Odemir Martinez Bruno

Inf. Sci., 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

Dynamic texture analysis with diffusion in networks.

Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir M. Bruno

Digit. Signal Process., 2019

Evaluating Deep Convolutional Neural Networks as Texture Feature Extractors.

Leonardo F. S. Scabini, Rayner H. Montes Condori, Lucas Correia Ribas, Odemir M. Bruno

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Dynamic Texture Classification Using Deterministic Partially Self-avoiding Walks on Networks.

Lucas Correia Ribas, Odemir M. Bruno

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

A Fractal-Based Approach to Network Characterization Applied to Texture Analysis.

Lucas Correia Ribas, Antoine Manzanera, Odemir M. Bruno

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Deterministic Partially Self-avoiding Walks on Networks for Natural Shapes Classification.

Lucas Correia Ribas, Odemir M. Bruno

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2016

Texture analysis using deterministic partially self-avoiding walk with thresholds.

Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir Martinez Bruno

CoRR, 2016

Fast deterministic tourist walk for texture analysis.

Lucas Correia Ribas, Odemir Martinez Bruno

CoRR, 2016

2015

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

2014

CPPP/UFMS at ImageCLEF 2014: Robot Vision Task.

Rodrigo de Carvalho Gomes, Lucas Correia Ribas, Amaury Antônio de Castro Junior, Wesley Nunes Gonçalves

Proceedings of the Working Notes for CLEF 2014 Conference, 2014