Lucas C. Ribas
Lucas C. Ribas
Other namesLucas Correia Ribas, Lucas Ribas, LC Ribas
Verified email at - Homepage
Cited by
Cited by
Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil
LFS Scabini, LC Ribas, MB Neiva, AGB Junior, AJF Farfan, OM Bruno
Physica A: Statistical Mechanics and its Applications 564, 125498, 2021
Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3
VC Rodrigues, JC Soares, AC Soares, DC Braz, ME Melendez, LC Ribas, ...
Talanta 222, 121444, 2021
Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques
JC Soares, AC Soares, VC Rodrigues, PRA Oiticica, ...
Materials Chemistry Frontiers 5 (15), 5658-5670, 2021
Fusion of complex networks and randomized neural networks for texture analysis
LC Ribas, JJMS Junior, LFS Scabini, OM Bruno
Pattern Recognition 103, 107189, 2020
A complex network based approach for knee Osteoarthritis detection: Data from the Osteoarthritis initiative
LC Ribas, R Riad, R Jennane, OM Bruno
Biomedical Signal Processing and Control 71, 103133, 2022
Distance transform network for shape analysis
LC Ribas, MB Neiva, OM Bruno
Information Sciences 470, 28-42, 2019
Fractal dimension of maximum response filters applied to texture analysis
LC Ribas, DN Goncalves, JPM Orue, WN Goncalves
Pattern Recognition Letters 65, 116-123, 2015
Randomized neural network based signature for dynamic texture classification
JJMS Junior, LC Ribas, OM Bruno
Expert Systems with Applications 135, 194-200, 2019
Dynamic texture analysis with diffusion in networks
LC Ribas, WN Goncalves, OM Bruno
Digital Signal Processing 92, 109-126, 2019
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps
L Scabini, KM Zielinski, LC Ribas, WN Gonçalves, B De Baets, OM Bruno
Pattern Recognition 143, 109802, 2023
Spatio-spectral networks for color-texture analysis
LFS Scabini, LC Ribas, OM Bruno
Information Sciences 515, 64-79, 2020
Cellular automata rule characterization and classification using texture descriptors
J Machicao, LC Ribas, LFS Scabini, OM Bruno
Physica A: Statistical Mechanics and its Applications 497, 109-117, 2018
Learning graph representation with randomized neural network for dynamic texture classification
LC Ribas, JJMS Junior, A Manzanera, OM Bruno
Applied Soft Computing 114, 108035, 2022
Life-Like Network Automata descriptor based on binary patterns for network classification
LC Ribas, J Machicao, OM Bruno
Information Sciences 515, 156-168, 2020
Complex texture features learned by applying randomized neural network on graphs
KMC Zielinski, LC Ribas, LFS Scabini, OM Bruno
2022 Eleventh International Conference on Image Processing Theory, Tools and …, 2022
Fractal dimension of bag-of-visual words
LC Ribas, DN Gonçalves, J de Andrade Silva, A Antônio de Castro Jr, ...
Pattern Analysis and Applications 22, 89-98, 2019
Evaluating deep convolutional neural networks as texture feature extractors
LFS Scabini, RHM Condori, LC Ribas, OM Bruno
Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019
Dynamic texture classification using deterministic partially self-avoiding walks on networks
LC Ribas, OM Bruno
Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019
Local complex features learned by randomized neural networks for texture analysis
LC Ribas, LFS Scabini, JJ de Mesquita Sá Junior, OM Bruno
Pattern Analysis and Applications 27 (1), 23, 2024
Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors
LDC de Castro, L Scabini, LC Ribas, OM Bruno, ON Oliveira Jr
Expert Systems with Applications 212, 118792, 2023
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