Pedro Pedrosa Rebouas Filho
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
45
Venues
8
Active years
2016–2024
Best venue rank
B
Where they publish
Papers
45 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CBMS | Estimation of Bone Mineral Density using Machine Learning and SHapley Additive exPlanations. | Gabriel Maia Bezerra, Elene F. Ohata, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Atslands Rego da Rocha, Pedro Pedrosa Rebouas Filho |
| 2024 | CBMS | A Novel Segmentation Approach Utilizing Object Detection Techniques as Prompts for a Zero-Shot System in Hemorrhagic Stroke Segmentation in CT Images. | Joel Ramos Michaliszen, Joo Carlos N. Fernandes, Calleo Belo Barroso, Leandro Bezerra Marinho, Suane Pires Pinheiro da Silva, Pedro Pedrosa Rebouas Filho, Navar Medeiros M. Nascimento |
| 2024 | CBMS | Efficient Classification of Depression using EEG through Spectral Graph Analysis. | Lucas de Oliveira Santos, Igson Carlos Lima Silva, Matheus A. dos Santos, Aldsio Gonalves Medeiros, Pedro Pedrosa Rebouas Filho |
| 2024 | CBMS | A New Diabetic Retinopathy Classification Approach Based on Normalizer Free Network. | Marcelo Colares da Silva, Caio Marques Silva, Alexis Galeno Matos, Suane Pires Pinheiro da Silva, Rger Moura Sarmento, Pedro Pedrosa Rebouas Filho, Navar Medeiros M. Nascimento, Rhuan Victor Crescencio Santiago, Cilis Aragao Benevides, Caio Cesar Henrique Cunha |
| 2024 | CBMS | Computer Vision for Brain Tumor Classification: A Novel Approach Based on Zernike Moments. | Caio Marques Silva, Marcelo Colares da Silva, Suane Pires Pinheiro da Silva, Pedro Pedrosa Rebouas Filho, Navar Medeiros M. Nascimento |
| 2024 | IJCNN | A New Approach for Eye Diagram Analysis Using Deep Transfer Learning for Identification and Intensity Classification of Rainfall Effect on Signals Transmitted via Free-Space Optical Communication. | Raiane Rocha Reis, Suane Pires P. da Silva, Elene Firmeza Ohata, Thiago F. Portela, Glendo de Freitas Guimares, Aderaldo Irineu Levartoski de Araujo, Pedro Pedrosa Rebouas Filho, Paulo A. L. Rego |
| 2024 | IJCNN | Graph-Based EEG Analysis for Parkinson's Disease Classification: A Residual Neural Network Approach. | Lucas de O. Santos, Aldsio Gonalves Medeiros, Paulo A. L. Rego, Pedro Pedrosa Rebouas Filho |
| 2024 | IJCNN | Estimating anthropometric measurements through 2D images using machine learning with gender-based analysis. | Joo Wellington M. Souza, Elene F. Ohata, Navar Medeiros M. Nascimento, Shara S. A. Alves, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Atslands Rego da Rocha, Pedro Pedrosa Rebouas Filho |
| 2023 | IJCNN | Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signals. | Aldsio Gonalves Medeiros, Francisco H. S. Silva, Lucas de O. Santos, Pedro Pedrosa Rebouas Filho |
| 2023 | IJCNN | New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images. | Jos Jerovane da Costa Nascimento, Adriell Gomes Marques, Matheus Araujo dos Santos, Lucas de O. Santos, Julio Macedo Chaves, Lus Fabrcio de F. Souza, Pedro Pedrosa Rebouas Filho |
| 2023 | IJCNN | Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning. | Lus Fabrcio de F. Souza, Joel R. Michaliszen Junior, Adriell Gomes Marques, Yasmin Osrio Adelino Rodrigues, Guilherme Freire Brilhante Severiano, Jos Jerovane da Costa Nascimento, Pedro Pedrosa Rebouas Filho |
| 2022 | CSIT | Novel low cost soil moisture sensor. | Edson C. Neto, Darlan A. Barroso, Pedro Pedrosa Rebouas Filho, D. N. Coelho |
| 2022 | IJCNN | Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning. | Adriell Gomes Marques, Lus Fabrcio de F. Souza, Matheus Araujo dos Santos, Jos Jerovane da Costa Nascimento, Rger Moura Sarmento, Iago Belarmino Lucena, Igson Carlos Lima Silva, Pedro Pedrosa Rebouas Filho |
| 2022 | ISDA | Fast Stroke Lesions Segmentation Based on Parzen Estimation and Non-uniform Bit Allocation in Skull CT Images. | Aldsio Gonalves Medeiros, Lucas de Oliveira Santos, Pedro Pedrosa Rebouas Filho |
| 2022 | ISDA | Fully Automatic LPR Method Using Haar Cascade for Real Mercosur License Plates. | Cyro M. G. Sabia, Adriell Gomes Marques, Lus Fabrcio de Freitas Souza, Solon Alves Peixoto, Matheus A. dos Santos, Antnio Carlos da Silva Barros, Paulo A. L. Rego, Pedro Pedrosa Rebouas Filho |
| 2022 | ISDA | New Approach in LPR Systems Using Deep Learning to Classify Mercosur License Plates with Perspective Adjustment. | Lus Fabrcio de F. Souza, Jos Jerovane da Costa Nascimento, Cyro M. G. Sabia, Adriell Gomes Marques, Guilherme Freire Brilhante Severiano, Lucas de Oliveira Santos, Paulo A. L. Rego, Pedro Pedrosa Rebouas Filho |
| 2021 | IJCNN | Gender-based approach to estimate the human body fat percentage using Machine Learning. | Shara S. A. Alves, Elene F. Ohata, Navar Medeiros M. e Nascimento, Joo W. M. de Souza, Gabriel Bandeira Holanda, Luiz Lannes Loureiro, Pedro Pedrosa Rebouas Filho |
| 2021 | IJCNN | A Novel Web Platform for COVID-19 diagnosis using X-Ray exams and Deep Learning Techniques. | Virgnia Xavier Nunes, Aldsio Gonalves Medeiros, Raylson Silva de Lima, Lus Fabrcio de F. Souza, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouas Filho |
| 2021 | ISDA | Driver Behavior Analysis: Abnormal Driving Detection Using MLP Classifier Applied to Outdoor Camera Images. | Wictor Gomes de Oliveira, Pedro Pedrosa Rebouas Filho, Elias Teodoro da Silva Jnior |
| 2021 | ISDA | Brazilian Mercosur License Plate Detection and Recognition Using Haar Cascade and Tesseract OCR on Synthetic Imagery. | Cyro M. G. Sabia, Pedro Pedrosa Rebouas Filho |
| 2020 | CBMS | A New Strategy for the Detection of Diabetic Retinopathy using a Smartphone App and Machine Learning Methods Embedded on Cloud Computer. | Shara Shami Arajo Alves, Alexis Galeno Matos, Jefferson Silva Almeida, Cilis Aragao Benevides, Caio Cesar Henrique Cunha, Rhuan Victor Crescencio Santiago, Renato Francisco Pereira, Pedro Pedrosa Rebouas Filho |
| 2020 | CBMS | An Approach to BI-RADS Uncertainty Levels Classification Via Deep Learning with Transfer Learning Technique. | Aldsio Gonalves Medeiros, Elene F. Ohata, Francisco H. S. Silva, Paulo A. L. Rego, Pedro Pedrosa Rebouas Filho |
| 2020 | CBMS | Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning. | Francisco H. S. Silva, Aldsio Gonalves Medeiros, Elene F. Ohata, Pedro Pedrosa Rebouas Filho |
| 2020 | IJCNN | An Innovative Approach of Textile Fabrics Identification from Mobile Images using Computer Vision based on Deep Transfer Learning. | Antnio Carlos da Silva Barros, Elene F. Ohata, Suane Pires P. da Silva, Jefferson Silva Almeida, Pedro Pedrosa Rebouas Filho |
| 2020 | IJCNN | Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines. | Marcos A. Araujo Ferreira, Lus Fabrcio de F. Souza, Francisco Hrcules dos S. Silva, Elene Firmeza Ohata, Jefferson Silva Almeida, Pedro Pedrosa Rebouas Filho |
| 2020 | IJCNN | An Optimized Approach to Huntington's Disease Detecting via Audio Signals Processing with Dimensionality Reduction. | Matheus T. Guimares, Aldsio Gonalves Medeiros, Jefferson S. Almeida, Marcos Falco y Martin, Robertas Damasevicius, Rytis Maskeliunas, Csar Lincoln Cavalcante Mattos, Pedro Pedrosa Rebouas Filho |
| 2020 | IJCNN | Predicting body measures from 2D images using Convolutional Neural Networks. | Joo W. M. de Souza, Gabriel Bandeira Holanda, Roberto F. Ivo, Shara S. A. Alves, Suane Pires P. da Silva, Virgnia Xavier Nunes, Luiz Lannes Loureiro, C. H. Dias-Silva, Pedro Pedrosa Rebouas Filho |
| 2019 | IJCNN | Evaluation of Heart Disease Diagnosis Approach using ECG Images. | Marcos Aurelio A. Ferreira Junior, Mateus Valentim Gurgel, Leandro Bezerra Marinho, Navar Medeiros M. e Nascimento, Suane Pires P. da Silva, Shara Shami A. Alves, Geraldo Luis Bezerra Ramalho, Pedro Pedrosa Rebouas Filho |
| 2019 | ISDA | Automatic Lung Segmentation in CT Images Using Mask R-CNN for Mapping the Feature Extraction in Supervised Methods of Machine Learning. | Lus Fabrcio de F. Souza, Gabriel Bandeira Holanda, Shara S. A. Alves, Francisco Hrcules dos S. Silva, Pedro Pedrosa Rebouas Filho |
| 2018 | CBMS | CoforDes: An Invariant Feature Extractor for the Drug Pill Identification. | Mateus A. Vieira Neto, Joo W. M. de Souza, Pedro Pedrosa Rebouas Filho, Antonio Wendell De Oliveira Rodrigues |
| 2018 | CBMS | Lung Nodule Classification via Deep Transfer Learning in CT Lung Images. | Raul Victor Medeiros da Nbrega, Solon Alves Peixoto, Suane Pires P. da Silva, Pedro Pedrosa Rebouas Filho |
| 2018 | ICAISC | An Embedded Classifier for Mobile Robot Localization Using Support Vector Machines and Gray-Level Co-occurrence Matrix. | Fausto Sampaio, Elias Teodoro Silva Jr., Lucas Costa da Silva, Pedro Pedrosa Rebouas Filho |
| 2018 | IJCNN | Stroke Lesion Detection Using Convolutional Neural Networks. | Danillo Roberto Pereira, Pedro Pedrosa Rebouas Filho, Gustavo Henrique de Rosa, Joo Paulo Papa, Victor Hugo C. de Albuquerque |
| 2018 | IJCNN | Goat Leather Quality Classification Using Computer Vision and Machine Learning. | Renato F. Pereira, Cludio M. S. Medeiros, Pedro Pedrosa Rebouas Filho |
| 2018 | IJCNN | Localization of Mobile Robots with Topological Maps and Classification with Reject Option using Convolutional Neural Networks in Omnidirectional Images. | Suane Pires P. da Silva, Raul Victor Medeiros da Nbrega, Aldsio Gonalves Medeiros, Leandro Bezerra Marinho, Jefferson S. Almeida, Pedro Pedrosa Rebouas Filho |
| 2018 | IJCNN | Detection and classification of faults in induction generator applied into wind turbines through a machine learning approach. | Pedro Henrique Feijo de Sousa, Navar Medeiros M. e Nascimento, Pedro Pedrosa Rebouas Filho, Cludio Marques de S Medeiros |
| 2017 | CAIP | A Novel Approach for Mobile Robot Localization in Topological Maps Using Classification with Reject Option from Structural Co-occurrence Matrix. | Suane Pires P. da Silva, Leandro Bezerra Marinho, Jefferson S. Almeida, Pedro Pedrosa Rebouas Filho |
| 2017 | CBMS | Segmentation and Visualization of the Lungs in Three Dimensions Using 3D Region Growing and Visualization Toolkit in CT Examinations of the Chest. | Raul Victor Medeiros da Nbrega, Murillo Barata Rodrigues, Pedro Pedrosa Rebouas Filho |
| 2017 | CBMS | Level Set Based on Brain Radiological Densities for Stroke Segmentation in CT Images. | Elizngela de S. Rebouas, Alan M. Braga, Rger Moura Sarmento, Rgis C. P. Marques, Pedro Pedrosa Rebouas Filho |
| 2017 | ICIAP | High-Pass Learning Machine: An Edge Detection Approach. | Alan L. S. Matias, Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, Pedro Pedrosa Rebouas Filho |
| 2017 | ICMLA | A New Approach to Segment Hemorrhagic Stroke in Computed Tomography via Optimum Path Snakes. | Solon Alves Peixoto, Aldsio Gonalves Medeiros, Antnio Carlos da Silva Barros, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouas Filho |
| 2017 | ISDA | A Comparison of Machine Learning Methods to Identify Broken Bar Failures in Induction Motors Using Statistical Moments. | Navar de Medeiros Mendona e Nascimento, Cludio Marques de S Medeiros, Pedro Pedrosa Rebouas Filho |
| 2017 | ISDA | A New Approach for the Diagnosis of Parkinson's Disease Using a Similarity Feature Extractor. | Joo Wellington M. Souza, Jefferson S. Almeida, Pedro Pedrosa Rebouas Filho |
| 2016 | ISDA | A New Approach to Human Activity Recognition Using Machine Learning Techniques. | Leandro Bezerra Marinho, Amauri Holanda de Souza Jnior, Pedro Pedrosa Rebouas Filho |
| 2016 | ISDA | Lung Segmentation in Chest Computerized Tomography Images Using the Border Following Algorithm. | Murillo Barata Rodrigues, Leandro Bezerra Marinho, Raul Victor Medeiros da Nbrega, Joo Wellington M. Souza, Pedro Pedrosa Rebouas Filho |