Lucas Correia Ribas

45 papers C 2Journal 31Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Complex networks for modeling texture and spectral features of hyperspectral images for environmental analysis. Comput. Biol. Medicine Leonardo F. S. Scabini, Kallil M. C. Zielinski, Marilia Fernandes, Ricardo T. Fares, Lucas Correia Ribas, Rosana Marta Kolb, Odemir M. Bruno
2025	J	`jnl`	A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis. J. Imaging Leonardo F. S. Scabini, Andre Sacilotti, Kallil M. C. Zielinski, Lucas Correia Ribas, Bernard De Baets, Odemir M. Bruno
2025	J	`jnl`	Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion. Comput. Electron. Agric. 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
2025	—	`conf`	Exploring Local Graphs via Random Encoding for Texture Representation Learning. VISIGRAPP (3): VISAPP Ricardo T. Fares, Luan B. Guerra, Lucas Correia Ribas
2025	J	`jnl`	MIXER: Mixed Hyperspherical Random Embedding Neural Network for Texture Recognition. CoRR Ricardo T. Fares, Lucas Correia Ribas
2025	J	`jnl`	VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings. CoRR Leonardo F. S. Scabini, Kallil M. C. Zielinski, Emir Konuk, Ricardo T. Fares, Lucas Correia Ribas, Kevin Smith, Odemir M. Bruno
2025	—	`conf`	Volumetric Color-Texture Representation for Colorectal Polyp Classification in Histopathology Images. VISIGRAPP (3): VISAPP Ricardo T. Fares, Lucas Correia Ribas
2024	J	`jnl`	A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis. CoRR Leonardo F. S. Scabini, Andre Sacilotti, Kallil M. C. Zielinski, Lucas Correia Ribas, Bernard De Baets, Odemir M. Bruno
2024	C	`conf`	A New Approach to Learn Spatio-Spectral Texture Representation with Randomized Networks: Application to Brazilian Plant Species Identification. EANN Ricardo T. Fares, Lucas Correia Ribas
2024	J	`jnl`	A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognit. Kallil M. C. Zielinski, Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno
2024	J	`jnl`	Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion. CoRR 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
2024	—	`conf`	Deep Texture Feature Aggregation on Leaf Microscopy Images for Brazilian Plant Species Recognition. ICMLT Leonardo F. S. Scabini, Kallil M. C. Zielinski, Ricardo T. Fares, Emir Konuk, Gisele Miranda, Rosana Marta Kolb, Lucas Correia Ribas, Odemir M. Bruno
2024	J	`jnl`	Learning a complex network representation for shape classification. Pattern Recognit. Lucas Correia Ribas, Odemir M. Bruno
2024	J	`jnl`	Local complex features learned by randomized neural networks for texture analysis. Pattern Anal. Appl. Lucas Correia Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá Junior, Odemir M. Bruno
2024	—	`conf`	Randomized Autoencoder-based Representation for Dynamic Texture Recognition. IWSSIP Ricardo T. Fares, Lucas Correia Ribas
2024	—	`conf`	Randomized Encoding Ensemble: A New Approach for Texture Representation. IWSSIP Ricardo T. Fares, Ana Catarina M. Vicentim, Leonardo F. S. Scabini, Kallil M. C. Zielinski, Rachid Jennane, Odemir M. Bruno, Lucas Correia Ribas
2023	J	`jnl`	Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Syst. Appl. Lucas D. C. de Castro, Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno, Osvaldo N. Oliveira Jr.
2023	J	`jnl`	RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps. CoRR Leonardo F. S. Scabini, Kallil M. C. Zielinski, Lucas Correia Ribas, Wesley Nunes Gonçalves, Bernard De Baets, Odemir M. Bruno
2023	J	`jnl`	RADAM: Texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognit. Leonardo F. S. Scabini, Kallil M. C. Zielinski, Lucas Correia Ribas, Wesley Nunes Gonçalves, Bernard De Baets, Odemir M. Bruno
2022	J	`jnl`	A Network Classification Method based on Density Time Evolution Patterns Extracted from Network Automata. CoRR Kallil M. C. Zielinski, Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno
2022	—	`conf`	A complex network approach for fish species recognition based on otolith shape. IPTA Lucas Correia Ribas, Leonardo F. S. Scabini, Odemir M. Bruno
2022	J	`jnl`	A complex network based approach for knee Osteoarthritis detection: Data from the Osteoarthritis initiative. Biomed. Signal Process. Control. Lucas Correia Ribas, Rabia Riad, Rachid Jennane, Odemir M. Bruno
2022	—	`conf`	Complex Texture Features Learned by Applying Randomized Neural Network on Graphs. IPTA Kallil M. C. Zielinski, Lucas Correia Ribas, Leonardo F. S. Scabini, Odemir M. Bruno
2022	—	`conf`	Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification. NetSci-X Leonardo F. S. Scabini, Lucas Correia Ribas, Eraldo Ribeiro, Odemir M. Bruno
2022	J	`jnl`	Learning graph representation with Randomized Neural Network for dynamic texture classification. Appl. Soft Comput. Lucas Correia Ribas, Jarbas Joaci de Mesquita Sá Junior, Antoine Manzanera, Odemir M. Bruno
2020	J	`jnl`	Fusion of complex networks and randomized neural networks for texture analysis. Pattern Recognit. Lucas Correia Ribas, Jarbas Joaci de Mesquita Sá Junior, Leonardo F. S. Scabini, Odemir M. Bruno
2020	J	`jnl`	Learning Local Complex Features using Randomized Neural Networks for Texture Analysis. CoRR Lucas Correia Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá Junior, Odemir M. Bruno
2020	J	`jnl`	Life-Like Network Automata descriptor based on binary patterns for network classification. Inf. Sci. Lucas Correia Ribas, Jeaneth Machicao, Odemir M. Bruno
2020	J	`jnl`	Social Interaction Layers in Complex Networks for the Dynamical Epidemic Modeling of COVID-19 in Brazil. CoRR Leonardo F. S. Scabini, Lucas Correia Ribas, Mariane Barros Neiva, Altamir G. B. Junior, Alex Josué Flórez Farfán, Odemir M. Bruno
2020	J	`jnl`	Spatio-spectral networks for color-texture analysis. Inf. Sci. Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno
2019	—	`conf`	A Fractal-Based Approach to Network Characterization Applied to Texture Analysis. CAIP (1) Lucas Correia Ribas, Antoine Manzanera, Odemir M. Bruno
2019	J	`jnl`	Distance transform network for shape analysis. Inf. Sci. Lucas Correia Ribas, Mariane Barros Neiva, Odemir Martinez Bruno
2019	—	`conf`	Dynamic Texture Classification Using Deterministic Partially Self-avoiding Walks on Networks. ICIAP (1) Lucas Correia Ribas, Odemir M. Bruno
2019	J	`jnl`	Dynamic texture analysis with diffusion in networks. Digit. Signal Process. Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir M. Bruno
2019	—	`conf`	Evaluating Deep Convolutional Neural Networks as Texture Feature Extractors. ICIAP (2) Leonardo F. S. Scabini, Rayner H. Montes Condori, Lucas Correia Ribas, Odemir M. Bruno
2019	J	`jnl`	Fractal dimension of bag-of-visual words. Pattern Anal. Appl. Lucas Correia Ribas, Diogo Nunes Gonçalves, Jonathan de Andrade Silva, Amaury Antônio de Castro Jr., Odemir Martinez Bruno, Wesley Nunes Gonçalves
2019	J	`jnl`	Randomized neural network based signature for dynamic texture classification. Expert Syst. Appl. Jarbas Joaci de Mesquita Sá Junior, Lucas Correia Ribas, Odemir Martinez Bruno
2019	J	`jnl`	Spatio-spectral networks for color-texture analysis. CoRR Leonardo F. S. Scabini, Lucas Correia Ribas, Odemir M. Bruno
2018	C	`conf`	Deterministic Partially Self-avoiding Walks on Networks for Natural Shapes Classification. CIARP Lucas Correia Ribas, Odemir M. Bruno
2018	J	`jnl`	Dynamic texture analysis with diffusion in networks. CoRR Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir M. Bruno
2018	J	`jnl`	Fusion of complex networks and randomized neural networks for texture analysis. CoRR Lucas Correia Ribas, Jarbas J. de M. Sá Junior, Leonardo F. S. Scabini, Odemir M. Bruno
2016	J	`jnl`	Fast deterministic tourist walk for texture analysis. CoRR Lucas Correia Ribas, Odemir Martinez Bruno
2016	J	`jnl`	Texture analysis using deterministic partially self-avoiding walk with thresholds. CoRR Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir Martinez Bruno
2015	J	`jnl`	Fractal dimension of maximum response filters applied to texture analysis. Pattern Recognit. Lett. Lucas Correia Ribas, Diogo Nunes Gonçalves, Jonatan Patrick Margarido Oruê, Wesley Nunes Gonçalves
2014	—	`conf`	CPPP/UFMS at ImageCLEF 2014: Robot Vision Task. CLEF (Working Notes) Rodrigo de Carvalho Gomes, Lucas Correia Ribas, Amaury Antônio de Castro Junior, Wesley Nunes Gonçalves