Pedro Pedrosa Rebouças Filho

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Coauteurs

Paulo CortezProfessor do Departamento de Engenharia de Teleinformática da UFCAdresse e-mail validée de lesc.ufc.br
Aldísio Gonçalves MedeirosInstituto Federal do Ceará, Universidade Federal do Ceará, LAPISCOAdresse e-mail validée de lapisco.ifce.edu.br
Elizângela de Souza RebouçasResearcher and professor at IFCEAdresse e-mail validée de ifce.edu.br
João Manuel R. S. TavaresFaculdade de Engenharia da Universidade do PortoAdresse e-mail validée de fe.up.pt
Tiago Carneiro PessoaInteruniversity Microelectronics Centre (IMEC)Adresse e-mail validée de imec.be
Francisco Hércules dos Santos SilvaInstituto Federal de Educação, Ciência e Tecnologia do CearáAdresse e-mail validée de ifce.edu.br
Róger Moura SarmentoAdjunct Professor at the Federal Institute of CearáAdresse e-mail validée de ifce.edu.br
Douglas de A. RodriguesAdresse e-mail validée de lapisco.ifce.edu.br
Roberto Fernandes IvoMestrando em Engenharia de Teleinformática, Universidade Federal do Ceará - UFCAdresse e-mail validée de lapisco.ifce.edu.br
Paulo A. L. RegoProfessor, Universidade Federal do CearáAdresse e-mail validée de ufc.br
Geraldo Luis Bezerra RamalhoProfessor de Engenharia, Instituto Federal de Educação, Ciência e Tecnologia do CearáAdresse e-mail validée de ifce.edu.br
Francisco Nelio Costa FreitasProfessor do Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE)Adresse e-mail validée de ifce.edu.br
Pedro Henrique Feijó de SousaPesquisador (LAPISCO), Instituto Federal do CearaAdresse e-mail validée de lapisco.ifce.edu.br
João Paulo PapaFull Professor, SMIEEE, FIAPR, FAAIA, FAvH, São Paulo State UniversityAdresse e-mail validée de unesp.br
Robertas DamaševičiusKaunas University of Technology, Vytautas Magnus UniversityAdresse e-mail validée de ktu.lt
Solon AlvesPesquisador, Instituto Federal de Educação, Ciências e Tecnologia do CearáAdresse e-mail validée de lapisco.ifce.edu.br
H. Herbert SongIEEE Fellow, Co-EiC of TII (IF=11.7), University of Maryland, Baltimore CountyAdresse e-mail validée de umbc.edu

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Pedro Pedrosa Rebouças Filho

Autres nomsRebouças Filho, P. P., Rebouças Filho, Pedro Pedrosa, Filho, PPR

Head of Research @ LAPISCO Research Lab (Laboratory for Processing Image, Signals and Comp. Science)

Adresse e-mail validée de ifce.edu.br - Page d'accueil

Machine Learning Computer Vision Data Science Generative AI Explainable Artificial Intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Performance analysis of google colaboratory as a tool for accelerating deep learning applications T Carneiro, RVM Da Nóbrega, T Nepomuceno, GB Bian, ... Ieee Access 6, 61677-61685, 2018	698	2018
Detecting Parkinson’s disease with sustained phonation and speech signals using machine learning techniques JS Almeida, PP Rebouças Filho, T Carneiro, W Wei, R Damaševičius, ... Pattern Recognition Letters 125, 55-62, 2019	268	2019
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning EF Ohata, GM Bezerra, JVS das Chagas, AVL Neto, AB Albuquerque, ... IEEE/CAA Journal of Automatica Sinica 8 (1), 239-248, 2020	253	2020
Lung nodule classification via deep transfer learning in CT lung images RVM Da Nóbrega, SA Peixoto, SPP da Silva, PP Rebouças Filho 2018 IEEE 31st international symposium on computer-based medical systems …, 2018	153	2018
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook MAG Santos, R Munoz, R Olivares, PP Rebouças Filho, J Del Ser, ... Information Fusion 53, 222-239, 2020	146	2020
Deep learning IoT system for online stroke detection in skull computed tomography images CMJM Dourado Jr, SPP Da Silva, RVM da Nobrega, ACS Barros, ... Computer Networks 152, 25-39, 2019	143	2019
A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification LB Marinho, N de MM Nascimento, JWM Souza, MV Gurgel, ... Future Generation Computer Systems 97, 564-577, 2019	135	2019
Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images PP Rebouças Filho, PC Cortez, AC da Silva Barros, VHC Albuquerque, ... Medical image analysis 35, 503-516, 2017	129	2017
A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system DA Rodrigues, RF Ivo, SC Satapathy, S Wang, J Hemanth, ... Pattern Recognition Letters 136, 8-15, 2020	122	2020
An effective approach for CT lung segmentation using mask region-based convolutional neural networks Q Hu, LFF Souza, GB Holanda, SSA Alves, FHS Silva, T Han, ... Artificial intelligence in medicine 103, 101792, 2020	114*	2020
Health of things algorithms for malignancy level classification of lung nodules MB Rodrigues, RVM Da Nobrega, SSA Alves, PP Reboucas Filho, ... IEEE Access 6, 18592-18601, 2018	113	2018
RETRACTED ARTICLE: Lung nodule malignancy classification in chest computed tomography images using transfer learning and convolutional neural networks RVM Da Nobrega, PP Reboucas Filho, MB Rodrigues, SPP Da Silva, ... Neural Computing and Applications 32 (15), 11065-11082, 2020	100	2020
An open IoHT-based deep learning framework for online medical image recognition CMJM Dourado, SPP da Silva, RVM da Nobrega, PP Reboucas Filho, ... IEEE Journal on Selected Areas in Communications 39 (2), 541-548, 2020	92	2020
Intelligent incipient fault detection in wind turbines based on industrial IoT environment PHF De Sousa, M Navar de Medeiros, JS Almeida, PP Reboucas Filho, ... Journal of Artificial Intelligence and Systems 1 (1), 1-19, 2019	87	2019
Computation offloading for vehicular environments: A survey AB De Souza, PAL Rego, T Carneiro, JDC Rodrigues, PP Reboucas Filho, ... IEEE Access 8, 198214-198243, 2020	85	2020
Analysis of human tissue densities: A new approach to extract features from medical images PP Rebouças Filho, ES Rebouças, LB Marinho, RM Sarmento, ... Pattern Recognition Letters 94, 211-218, 2017	78*	2017
New approach to detect and classify stroke in skull CT images via analysis of brain tissue densities PP Reboucas Filho, RM Sarmento, GB Holanda, D de Alencar Lima Computer methods and programs in biomedicine 148, 27-43, 2017	74	2017
Reducing the schizophrenia stigma: a new approach based on augmented reality RDC Silva, SGC Albuquerque, AV Muniz, PPR Filho, S Ribeiro, ... Computational intelligence and neuroscience 2017 (1), 2721846, 2017	71	2017
Evolutionary algorithms for automatic lung disease detection N Gupta, D Gupta, A Khanna, PP Rebouças Filho, VHC De Albuquerque Measurement 140, 590-608, 2019	70	2019
Classification of EEG signals to detect alcoholism using machine learning techniques JC Rodrigues, PP Rebouças Filho, E Peixoto Jr, A Kumar, ... Pattern Recognition Letters 125, 140-149, 2019	68	2019

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