| 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 | 72 | 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 | 63 | 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 | 43 | 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 | 37 | 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 | 32 | 2022 |
| 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 | 23 | 2023 |
| 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 | 20 | 2015 |
| Randomized neural network based signature for dynamic texture classification JJMS Junior, LC Ribas, OM Bruno Expert Systems with Applications 135, 194-200, 2019 | 19 | 2019 |
| Distance transform network for shape analysis LC Ribas, MB Neiva, OM Bruno Information Sciences 470, 28-42, 2019 | 19 | 2019 |
| Dynamic texture analysis with diffusion in networks LC Ribas, WN Goncalves, OM Bruno Digital Signal Processing 92, 109-126, 2019 | 18 | 2019 |
| Spatio-spectral networks for color-texture analysis LFS Scabini, LC Ribas, OM Bruno Information Sciences 515, 64-79, 2020 | 17 | 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 | 14 | 2018 |
| Life-Like Network Automata descriptor based on binary patterns for network classification LC Ribas, J Machicao, OM Bruno Information Sciences 515, 156-168, 2020 | 13 | 2020 |
| 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 | 12 | 2022 |
| 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 | 7 | 2023 |
| A network classification method based on density time evolution patterns extracted from network automata KMC Zielinski, LC Ribas, J Machicao, OM Bruno Pattern Recognition 146, 109946, 2024 | 6 | 2024 |
| 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 | 6 | 2022 |
| 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 | 6 | 2019 |
| Color-texture classification based on spatio-spectral complex network representations LC Ribas, LFS Scabini, RHM Condori, OM Bruno Physica A: Statistical Mechanics and its Applications 635, 129518, 2024 | 5 | 2024 |
| 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 | 4 | 2024 |
Odemir Martinez BrunoProfessor, University of S. PauloEmail verificata su ifsc.usp.br
