Pedro Pedrosa Rebouças Filho

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 113

Top Venues

Federal University of Ceará, Fortaleza, Brazil (PHD)

Education History

Federal University of Ceará, Fortaleza, Brazil

PHD

Publications

Marcelo Colares da Silva, Caio Marques Silva, Alexis Galeno Matos, Suane Pires Pinheiro da Silva, Róger Moura Sarmento, Pedro Pedrosa Rebouças Filho, Navar Medeiros M. Nascimento, Rhuan Victor Crescencio Santiago, Cilis Aragao Benevides, Caio Cesar Henrique Cunha
A New Diabetic Retinopathy Classification Approach Based on Normalizer Free Network. CBMS (2024)
Joel Ramos Michaliszen, João Carlos N. Fernandes, Calleo Belo Barroso, Leandro Bezerra Marinho, Suane Pires Pinheiro da Silva, Pedro Pedrosa Rebouças Filho, Navar Medeiros M. Nascimento
A Novel Segmentation Approach Utilizing Object Detection Techniques as Prompts for a Zero-Shot System in Hemorrhagic Stroke Segmentation in CT Images. CBMS (2024)
Gabriel Maia Bezerra, Elene F. Ohata, Luiz Lannes Loureiro, Victor Z. Bittencourt, Valden Luis Matos Capistrano, Atslands R. da Rocha, Pedro Pedrosa Rebouças Filho
Estimation of Bone Mineral Density using Machine Learning and SHapley Additive exPlanations. CBMS (2024)
Lucas de Oliveira Santos, Iágson Carlos L. Silva, Matheus A. dos Santos, Aldísio G. Medeiros, Pedro Pedrosa Rebouças Filho
Efficient Classification of Depression using EEG through Spectral Graph Analysis. CBMS (2024)
Caio Marques Silva, Marcelo Colares da Silva, Suane Pires Pinheiro da Silva, Pedro Pedrosa Rebouças Filho, Navar Medeiros M. Nascimento
Computer Vision for Brain Tumor Classification: A Novel Approach Based on Zernike Moments. CBMS (2024)
Luís Fabrício de F. Souza, Joel R. Michaliszen Junior, Adriell Gomes Marques, Yasmin Osório Adelino Rodrigues, Guilherme Freire Brilhante Severiano, José Jerovane da Costa Nascimento, Pedro Pedrosa Rebouças Filho
Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning. IJCNN (2023)
Aldísio Gonçalves Medeiros, Francisco H. S. Silva, Lucas de O. Santos, Pedro Pedrosa Rebouças Filho
Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signals. IJCNN (2023)
Navar Medeiros M. Nascimento, Pedro Cavalcante de Sousa Junior, Pedro Yuri Rodrigues Nunes, Suane Pires Pinheiro da Silva, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano Junior, Pedro Pedrosa Rebouças Filho
New Advances in Body Composition Assessment with ShapedNet: A Single Image Deep Regression Approach. CoRR (2023)
José Jerovane da Costa Nascimento, Adriell Gomes Marques, Matheus Araujo dos Santos, Lucas de O. Santos, Julio Macedo Chaves, Luís Fabrício de F. Souza, Pedro Pedrosa Rebouças Filho
New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images. IJCNN (2023)
Solon Alves Peixoto, Aldísio Gonçalves Medeiros, Mohammad Mehedi Hassan, M. Ali Akber Dewan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
Floor of log: a novel intelligent algorithm for 3D lung segmentation in computer tomography images. Multim. Syst. 28 (4) (2022)
Cyro M. G. Sabóia, Adriell Gomes Marques, Luís Fabrício de Freitas Souza, Solon Alves Peixoto, Matheus A. dos Santos, Antônio Carlos da Silva Barros, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho
Fully Automatic LPR Method Using Haar Cascade for Real Mercosur License Plates. ISDA (3) (2022)
Yongzhao Xu, Matheus A. dos Santos, Luís Fabrício de F. Souza, Adriell Gomes Marques, Lijuan Zhang, José Jerovane da Costa Nascimento, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
New fully automatic approach for tissue identification in histopathological examinations using transfer learning. IET Image Process. 16 (11) (2022)
Adriell Gomes Marques, Luls Fabrlcio de F. Souza, Matheus Araujo dos Santos, José Jerovane da Costa Nascimento, Róger Moura Sarmento, Iago Belarmino Lucena, Iágson Carlos Lima Silva, Pedro Pedrosa Rebouças Filho
Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning. IJCNN (2022)
Gabriel Maia Bezerra, Elene Firmeza Ohata, Pedro Yuri Rodrigues Nunes, Levy dos Santos Silveira, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Pedro Pedrosa Rebouças Filho
Estimating Bone Mineral Density Based on Age, Sex, and Anthropometric Measurements. BRACIS (1) (2022)
Edson C. Neto, Darlan A. Barroso, Pedro Pedrosa Rebouças Filho, D. N. Coelho
Novel low cost soil moisture sensor. CSIT (2022)
Aldísio Gonçalves Medeiros, Lucas de Oliveira Santos, Pedro Pedrosa Rebouças Filho
Fast Stroke Lesions Segmentation Based on Parzen Estimation and Non-uniform Bit Allocation in Skull CT Images. ISDA (4) (2022)
Pedro Henrique Feijo de Sousa, Jefferson Silva Almeida, Elene Firmeza Ohata, Fabricio Gonzalez Nogueira, Bismark Claure Torrico, Victor Hugo C. de Albuquerque, Mohammad Mehedi Hassan, Neeraj Kumar, Md. Rafiul Hassan, Pedro Pedrosa Rebouças Filho
Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Luís Fabrício de F. Souza, José Jerovane da Costa Nascimento, Cyro M. G. Sabóia, Adriell Gomes Marques, Guilherme Freire Brilhante Severiano, Lucas de Oliveira Santos, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho
New Approach in LPR Systems Using Deep Learning to Classify Mercosur License Plates with Perspective Adjustment. ISDA (2) (2022)
Yongzhao Xu, Luís Fabrício de F. Souza, Iágson Carlos Lima Silva, Adriell Gomes Marques, Francisco H. S. Silva, Virgínia Xavier Nunes, Tao Han, Chuanyu Jia, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
A soft computing automatic based in deep learning with use of fine-tuning for pulmonary segmentation in computed tomography images. Appl. Soft Comput. 112 (2021)
Elene Firmeza Ohata, Gabriel Maia Bezerra, João Victor Souza das Chagas, Aloisio Vieira Lira Neto, Adriano Bessa Albuquerque, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning. IEEE CAA J. Autom. Sinica 8 (1) (2021)
Virgínia Xavier Nunes, Aldísio Gonçalves Medeiros, Raylson Silva de Lima, Luís Fabrício de F. Souza, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
A Novel Web Platform for COVID-19 diagnosis using X-Ray exams and Deep Learning Techniques. IJCNN (2021)
Cyro M. G. Sabóia, Pedro Pedrosa Rebouças Filho
Brazilian Mercosur License Plate Detection and Recognition Using Haar Cascade and Tesseract OCR on Synthetic Imagery. ISDA (2021)
Shara S. A. Alves, Elene F. Ohata, Navar Medeiros M. e Nascimento, João W. M. de Souza, Gabriel Bandeira Holanda, Luiz Lannes Loureiro, Pedro Pedrosa Rebouças Filho
Gender-based approach to estimate the human body fat percentage using Machine Learning. IJCNN (2021)
João Wellington Mendes de Souza, Aldísio Gonçalves Medeiros, Gabriel Bandeira Holanda, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho
Fingerprint Classification Based on the Henry System via ResNet. IWSSIP (2021)
Francisco Hércules dos S. Silva, Gabriel Maia Bezerra, Gabriel Bandeira Holanda, João Wellington Mendes de Souza, Paulo A. L. Rego, Aloísio Vieira Lira Neto, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
A novel feature extractor for human action recognition in visual question answering. Pattern Recognit. Lett. 147 (2021)
Carlos M. J. M. Dourado Júnior, Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Pedro Pedrosa Rebouças Filho, Khan Muhammad, Victor Hugo C. de Albuquerque
An Open IoHT-Based Deep Learning Framework for Online Medical Image Recognition. IEEE J. Sel. Areas Commun. 39 (2) (2021)
Wictor Gomes de Oliveira, Pedro Pedrosa Rebouças Filho, Elias Teodoro da Silva Júnior
Driver Behavior Analysis: Abnormal Driving Detection Using MLP Classifier Applied to Outdoor Camera Images. ISDA (2021)
João Victor Souza das Chagas, Douglas de A. Rodrigues, Roberto F. Ivo, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
A new approach for the detection of pneumonia in children using CXR images based on an real-time IoT system. J. Real Time Image Process. 18 (4) (2021)
Yongzhao Xu, Navar Medeiros M. e Nascimento, Pedro Henrique Feijo de Sousa, Fabricio Gonzalez Nogueira, Bismark C. Torrico, Tao Han, Chuanyu Jia, Pedro Pedrosa Rebouças Filho
Multi-sensor edge computing architecture for identification of failures short-circuits in wind turbine generators. Appl. Soft Comput. 101 (2021)
Elene Firmeza Ohata, João Victor Souza das Chagas, Gabriel Maia Bezerra, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
A novel transfer learning approach for the classification of histological images of colorectal cancer. J. Supercomput. 77 (9) (2021)
Tao Han, Virgínia Xavier Nunes, Luís Fabrício de F. Souza, Adriell Gomes Marques, Iágson Carlos Lima Silva, Marcos Aurelio A. Ferreira Junior, Jinghua Sun, Pedro Pedrosa Rebouças Filho
Internet of Medical Things - Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans. IEEE Access 8 (2020)
Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Francisco Hércules dos S. Silva, Shara Shami Araújo Alves, Pedro Pedrosa Rebouças Filho
Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learning. Int. J. Hybrid Intell. Syst. 16 (4) (2020)
Alisson Barbosa de Souza, Paulo A. L. Rego, Tiago Carneiro, Jardel das C. Rodrigues, Pedro Pedrosa Rebouças Filho, José Neuman de Souza, Vinay Chamola, Victor Hugo C. de Albuquerque, Biplab Sikdar
Computation Offloading for Vehicular Environments: A Survey. IEEE Access 8 (2020)
Navar Medeiros M. e Nascimento, Leandro Bezerra Marinho, Solon Alves Peixoto, João Paulo do Vale Madeiro, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
Heart Arrhythmia Classification Based on Statistical Moments and Structural Co-occurrence. Circuits Syst. Signal Process. 39 (2) (2020)
Tao Han, Jefferson S. Almeida, Suane Pires P. da Silva, Paulo Honório Filho, Antonio Wendell De Oliveira Rodrigues, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
An effective approach to unmanned aerial vehicle navigation using visual topological map in outdoor and indoor environments. Comput. Commun. 150 (2020)
Marcus A. G. Santos, Roberto Muñoz, Rodrigo Olivares, Pedro Pedrosa Rebouças Filho, Javier Del Ser, Victor Hugo C. de Albuquerque
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook. Inf. Fusion 53 (2020)
Luís Fabrício de F. Souza, Iágson Carlos Lima Silva, Adriell Gomes Marques, Francisco Hércules dos S. Silva, Virgínia Xavier Nunes, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation. Sensors 20 (23) (2020)
Aldísio Gonçalves Medeiros, Elene F. Ohata, Francisco H. S. Silva, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho
An Approach to BI-RADS Uncertainty Levels Classification Via Deep Learning with Transfer Learning Technique. CBMS (2020)
Edmilson Q. Santos Filho, Pedro Henrique Feijo de Sousa, Pedro Pedrosa Rebouças Filho, Guilherme A. Barreto, Victor Hugo C. de Albuquerque
Evaluation of Goat Leather Quality Based on Computational Vision Techniques. Circuits Syst. Signal Process. 39 (2) (2020)
Raul Victor Medeiros da Nóbrega, Pedro Pedrosa Rebouças Filho, Murillo Barata Rodrigues, Suane Pires Pinheiro da Silva, Carlos M. J. M. Dourado Júnior, Victor Hugo C. de Albuquerque
Lung nodule malignancy classification in chest computed tomography images using transfer learning and convolutional neural networks. Neural Comput. Appl. 32 (15) (2020)
João W. M. de Souza, Gabriel Bandeira Holanda, Roberto F. Ivo, Shara S. A. Alves, Suane Pires P. da Silva, Virgínia Xavier Nunes, Luiz Lannes Loureiro, C. H. Dias-Silva, Pedro Pedrosa Rebouças Filho
Predicting body measures from 2D images using Convolutional Neural Networks. IJCNN (2020)
Victor Hugo C. de Albuquerque, Douglas de A. Rodrigues, Roberto F. Ivo, Solon Alves Peixoto, Tao Han, Wanqing Wu, Pedro Pedrosa Rebouças Filho
Fast fully automatic heart fat segmentation in computed tomography datasets. Comput. Medical Imaging Graph. 80 (2020)
Róger M. Sarmento, Francisco Fábio Ximenes Vasconcelos, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque
An IoT platform for the analysis of brain CT images based on Parzen analysis. Future Gener. Comput. Syst. 105 (2020)
Solon Alves Peixoto, Francisco Fábio Ximenes Vasconcelos, Matheus T. Guimarães, Aldísio Gonçalves Medeiros, Paulo A. L. Rego, Aloisio Vieira Lira Neto, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
A high-efficiency energy and storage approach for IoT applications of facial recognition. Image Vis. Comput. 96 (2020)
Lucas S. Fernandes, Francisco H. S. Silva, Elene F. Ohata, Aldísio Gonçalves Medeiros, Aloisio Vieira Lira Neto, Yuri Lenon Barbosa Nogueira, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho
A Robust Automatic License Plate Recognition System for Embedded Devices. BRACIS (2020)
Douglas de A. Rodrigues, Roberto F. Ivo, Suresh Chandra Satapathy, Shuihua Wang, D. Jude Hemanth, Pedro Pedrosa Rebouças Filho
A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system. Pattern Recognit. Lett. 136 (2020)
João Victor Souza das Chagas, Roberto F. Ivo, Matheus T. Guimarães, Douglas de A. Rodrigues, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho
Fast fully automatic skin lesions segmentation probabilistic with Parzen window. Comput. Medical Imaging Graph. 85 (2020)
Aldísio Gonçalves Medeiros, Lucas de O. Santos, Róger Moura Sarmento, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho
New Adaptive Morphological Geodesic Active Contour Method for Segmentation of Hemorrhagic Stroke in Computed Tomography Image. BRACIS (2) (2020)
Tao Han, Roberto F. Ivo, Douglas de A. Rodrigues, Solon Alves Peixoto, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
Cascaded Volumetric Fully Convolutional Networks for Whole-Heart and Great Vessel 3D segmentation. Future Gener. Comput. Syst. 108 (2020)
Francisco H. S. Silva, Aldísio Gonçalves Medeiros, Elene F. Ohata, Pedro Pedrosa Rebouças Filho
Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning. CBMS (2020)
Antônio Carlos da Silva Barros, Elene F. Ohata, Suane Pires P. da Silva, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho
An Innovative Approach of Textile Fabrics Identification from Mobile Images using Computer Vision based on Deep Transfer Learning. IJCNN (2020)
Marcos A. Araujo Ferreira, Luís Fabrício de F. Souza, Francisco Hércules dos S. Silva, Elene Firmeza Ohata, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho
Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines. IJCNN (2020)
Solon Alves Peixoto, Pedro Pedrosa Rebouças Filho, Arunkumar N., Victor Hugo C. de Albuquerque
Automatic classification of pulmonary diseases using a structural co-occurrence matrix. Neural Comput. Appl. 32 (15) (2020)
Matheus T. Guimarães, Aldísio Gonçalves Medeiros, Jefferson S. Almeida, Marcos Falcão y Martin, Robertas Damasevicius, Rytis Maskeliunas, César Lincoln Cavalcante Mattos, Pedro Pedrosa Rebouças Filho
An Optimized Approach to Huntington's Disease Detecting via Audio Signals Processing with Dimensionality Reduction. IJCNN (2020)
Qinhua Hu, Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Shara S. A. Alves, Francisco Hércules dos S. Silva, Tao Han, Pedro Pedrosa Rebouças Filho
An effective approach for CT lung segmentation using mask region-based convolutional neural networks. Artif. Intell. Medicine 103 (2020)
Shara Shami Araújo Alves, Alexis Galeno Matos, Jefferson Silva Almeida, Cilis Aragao Benevides, Caio Cesar Henrique Cunha, Rhuan Victor Crescencio Santiago, Renato Francisco Pereira, Pedro Pedrosa Rebouças Filho
A New Strategy for the Detection of Diabetic Retinopathy using a Smartphone App and Machine Learning Methods Embedded on Cloud Computer. CBMS (2020)
Francisco Fábio Ximenes Vasconcelos, Róger M. Sarmento, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque
Artificial intelligence techniques empowered edge-cloud architecture for brain CT image analysis. Eng. Appl. Artif. Intell. 91 (2020)
Francisco Fábio Ximenes Vasconcelos, Aldísio Gonçalves Medeiros, Solon Alves Peixoto, Pedro Pedrosa Rebouças Filho
Automatic skin lesions segmentation based on a new morphological approach via geodesic active contour. Cogn. Syst. Res. 55 (2019)
Carlos M. J. M. Dourado Júnior, Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Antônio Carlos da Silva Barros, Arun Kumar Sangaiah, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque
A new approach for mobile robot localization based on an online IoT system. Future Gener. Comput. Syst. 100 (2019)
Pedro Pedrosa Rebouças Filho, Antônio Carlos da Silva Barros, Jefferson S. Almeida, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque
A new effective and powerful medical image segmentation algorithm based on optimum path snakes. Appl. Soft Comput. 76 (2019)
Luan Sousa Cordeiro, Joyce Saraiva Lima, A. Iedo Rocha Ribeiro, Francisco Nivando Bezerra, Pedro Pedrosa Rebouças Filho, Ajalmar R. da Rocha Neto
Pill Image Classification using Machine Learning. BRACIS (2019)
Pedro Pedrosa Rebouças Filho, Suane Pires P. da Silva, Victor N. Praxedes, D. Jude Hemanth, Victor Hugo C. de Albuquerque
Control of singularity trajectory tracking for robotic manipulator by genetic algorithms. J. Comput. Sci. 30 (2019)
Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho, Tiago Carneiro, Wei Wei, Robertas Damasevicius, Rytis Maskeliunas, Victor Hugo C. de Albuquerque
Detecting Parkinson's disease with sustained phonation and speech signals using machine learning techniques. Pattern Recognit. Lett. 125 (2019)
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 Rebouças Filho
Evaluation of Heart Disease Diagnosis Approach using ECG Images. IJCNN (2019)
Pedro Pedrosa Rebouças Filho, Samuel Luz Gomes, Navar de Medeiros Mendonça e Nascimento, Cláudio Marques de Sá Medeiros, Fatma Outay, Victor Hugo C. de Albuquerque
Energy production predication via Internet of Thing based machine learning system. Future Gener. Comput. Syst. 97 (2019)
Leandro Bezerra Marinho, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque
Ultrasonic sensor signals and self organized mapping with nearest neighbors for the microstructural characterization of thermally-aged Inconel 625 alloy. Comput. Ind. 107 (2019)
Lucas Silva de Sousa, Pedro Pedrosa Rebouças Filho, Francisco Nivando Bezerra, Ajalmar R. da Rocha Neto, Saulo A. F. Oliveira
An Improved Retinal Blood Vessel Detection System Using an Extreme Learning Machine. Int. J. E Health Medical Commun. 10 (3) (2019)
Victor Hugo C. de Albuquerque, Joel J. P. C. Rodrigues, Pedro Pedrosa Rebouças Filho, Jaime Lloret Mauri, Mohsen Guizani
Guest Editorial: Interactive Virtual Environments for Neuroscience. IEEE J. Biomed. Health Informatics 23 (5) (2019)
Elizângela de S. Rebouças, Régis C. P. Marques, Alan M. Braga, Saulo A. F. Oliveira, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
New level set approach based on Parzen estimation for stroke segmentation in skull CT images. Soft Comput. 23 (19) (2019)
Suane Pires Pinheiro da Silva, Paulo Honório Filho, Leandro Bezerra Marinho, Jefferson S. Almeida, Navar Medeiros M. e Nascimento, Antonio Wendell De Oliveira Rodrigues, Pedro Pedrosa Rebouças Filho
A New Approach to Navigation of Unmanned Aerial Vehicle using Deep Transfer Learning. BRACIS (2019)
Pedro Pedrosa Rebouças Filho, Antônio Carlos da Silva Barros, Geraldo L. B. Ramalho, Clayton R. Pereira, João Paulo Papa, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares
Automated recognition of lung diseases in CT images based on the optimum-path forest classifier. Neural Comput. Appl. 31 (S-2) (2019)
Carlos M. J. M. Dourado Júnior, Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Antônio Carlos da Silva Barros, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque
Deep learning IoT system for online stroke detection in skull computed tomography images. Comput. Networks 152 (2019)
Pedro Pedrosa Rebouças Filho, João Wellington M. Souza, Leandro Bezerra Marinho, Gabriel Bandeira Holanda, Harison Herman Silva, Alvaro A. F. Leite, Thais S. Bandeira, Antonio Wendell De Oliveira Rodrigues
Mobile System to Aid in the Identification and Classification of Electrical Assets using Convolutional Neural Network. BRACIS (2019)
Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Shara S. A. Alves, Francisco Hércules dos S. Silva, Pedro Pedrosa Rebouças Filho
Automatic Lung Segmentation in CT Images Using Mask R-CNN for Mapping the Feature Extraction in Supervised Methods of Machine Learning. ISDA (2019)
Leandro Bezerra Marinho, Navar de Medeiros Mendonça e Nascimento, João Wellington M. Souza, Mateus Valentim Gurgel, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque
A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification. Future Gener. Comput. Syst. 97 (2019)
Jardel das C. Rodrigues, Pedro Pedrosa Rebouças Filho, Eugenio Peixoto Jr, Arunkumar N., Victor Hugo C. de Albuquerque
Classification of EEG signals to detect alcoholism using machine learning techniques. Pattern Recognit. Lett. 125 (2019)
Renato F. Pereira, Cláudio M. S. Medeiros, Pedro Pedrosa Rebouças Filho
Goat Leather Quality Classification Using Computer Vision and Machine Learning. IJCNN (2018)
Joel S. Da Cunha Neto, Pedro Pedrosa Rebouças Filho, Guilherme P. Ferreira Da Silva, Natalia B. Da Cunha Olegario, João Batista Furlan Duarte, Victor Hugo C. de Albuquerque
Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect Sensor. IEEE Access 6 (2018)
Rebeca G. C. Cunha, Elias Teodoro da Silva Júnior, João W. M. de Souza, Pedro Pedrosa Rebouças Filho
Toward an Embedded Application to Identify Degradation in Energized Polymeric Insulators using Discrete Wavelet Transform. IWSSIP (2018)
Leandro Bezerra Marinho, Pedro Pedrosa Rebouças Filho, Jefferson S. Almeida, João Wellington M. Souza, Amauri Holanda de Souza Júnior, Victor Hugo C. de Albuquerque
A novel mobile robot localization approach based on classification with rejection option using computer vision. Comput. Electr. Eng. 68 (2018)
Danillo Roberto Pereira, Pedro Pedrosa Rebouças Filho, Gustavo Henrique de Rosa, João Paulo Papa, Victor Hugo C. de Albuquerque
Stroke Lesion Detection Using Convolutional Neural Networks. IJCNN (2018)
Raul Victor Medeiros da Nóbrega, Solon Alves Peixoto, Suane Pires P. da Silva, Pedro Pedrosa Rebouças Filho
Lung Nodule Classification via Deep Transfer Learning in CT Lung Images. CBMS (2018)
Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Aldísio Gonçalves Medeiros, Leandro Bezerra Marinho, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho
Localization of Mobile Robots with Topological Maps and Classification with Reject Option using Convolutional Neural Networks in Omnidirectional Images. IJCNN (2018)
Tiago Carneiro, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Pedro Pedrosa Rebouças Filho, Daniel Tuyttens
Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms. VECPAR (2018)
Fausto Sampaio, Elias Teodoro Silva Jr., Lucas Costa da Silva, Pedro Pedrosa Rebouças Filho
An Embedded Classifier for Mobile Robot Localization Using Support Vector Machines and Gray-Level Co-occurrence Matrix. ICAISC (1) (2018)
Suane Pires Pinheiro da Silva, Leandro Bezerra Marinho, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho
Robot Localization Using Classification with Reject Option from Structural Co-occurrence Matrix in Omnidirectional Images. BRACIS (2018)
Pedro Henrique Feijo de Sousa, Navar Medeiros M. e Nascimento, Pedro Pedrosa Rebouças Filho, Cláudio Marques de Sá Medeiros
Detection and classification of faults in induction generator applied into wind turbines through a machine learning approach. IJCNN (2018)
Solon Alves Peixoto, Pedro Pedrosa Rebouças Filho
Neurologist-level classification of stroke using a Structural Co-Occurrence Matrix based on the frequency domain. Comput. Electr. Eng. 71 (2018)
Mateus A. Vieira Neto, João W. M. de Souza, Pedro Pedrosa Rebouças Filho, Antonio Wendell De Oliveira Rodrigues
CoforDes: An Invariant Feature Extractor for the Drug Pill Identification. CBMS (2018)
Fabio Cisne Ribeiro, Raphael Torres Santos Carvalho, Paulo Cortez, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
Binary Neural Networks for Classification of Voice Commands From Throat Microphone. IEEE Access 6 (2018)
Pedro Pedrosa Rebouças Filho, Solon Alves Peixoto, Raul Victor Medeiros da Nóbrega, D. Jude Hemanth, Aldísio Gonçalves Medeiros, Arun Kumar Sangaiah, Victor Hugo C. de Albuquerque
Automatic histologically-closer classification of skin lesions. Comput. Medical Imaging Graph. 68 (2018)
João Wellington M. Souza, Shara Shami A. Alves, Elizângela de S. Rebouças, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho
A New Approach to Diagnose Parkinson's Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis. Comput. Intell. Neurosci. 2018 (2018)
Tiago Carneiro, Raul Victor Medeiros da Nóbrega, Thiago Nepomuceno, Gui-Bin Bian, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications. IEEE Access 6 (2018)
Pedro Pedrosa Rebouças Filho, Navar Medeiros M. e Nascimento, Igor Rocha de Sousa, Cláudio Marques de Sá Medeiros, Victor Hugo C. de Albuquerque
A reliable approach for detection of incipient faults of short-circuits in induction generators using machine learning. Comput. Electr. Eng. 71 (2018)
Murillo Barata Rodrigues, Raul Victor Medeiros da Nóbrega, Shara Shami A. Alves, Pedro Pedrosa Rebouças Filho, João Batista Furlan Duarte, Arun Kumar Sangaiah, Victor Hugo C. de Albuquerque
Health of Things Algorithms for Malignancy Level Classification of Lung Nodules. IEEE Access 6 (2018)
Pedro Pedrosa Rebouças Filho, Navar de Medeiros Mendonça e Nascimento, Shara Shami Araújo Alves, Samuel Luz Gomes, Cláudio Marques de Sá Medeiros
Estimation of the Energy Production in a Wind Farm Using Regression Methods and Wind Speed Forecast. BRACIS (2018)
Solon Alves Peixoto, Aldísio Gonçalves Medeiros, Antônio Carlos da Silva Barros, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
A New Approach to Segment Hemorrhagic Stroke in Computed Tomography via Optimum Path Snakes. ICMLA (2017)
Navar de Medeiros Mendonça e Nascimento, Cláudio Marques de Sá Medeiros, Pedro Pedrosa Rebouças Filho
A Comparison of Machine Learning Methods to Identify Broken Bar Failures in Induction Motors Using Statistical Moments. ISDA (2017)
Elizângela de S. Rebouças, Alan M. Braga, Róger Moura Sarmento, Régis C. P. Marques, Pedro Pedrosa Rebouças Filho
Level Set Based on Brain Radiological Densities for Stroke Segmentation in CT Images. CBMS (2017)
João Wellington M. Souza, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho
A New Approach for the Diagnosis of Parkinson's Disease Using a Similarity Feature Extractor. ISDA (2017)

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Pedro Pedrosa Rebouças Filho