W. Santos

发表

Morphological extreme learning machines applied to detect and classify masses in mammograms

Wellington Pinheiro dos Santos, Filipe R. Cordeiro, Sidney M. L. Lima, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Electromyography-controlled car: A proof of concept based on surface electromyography, Extreme Learning Machines and low-cost open hardware

Wellington Pinheiro dos Santos, Byron L. D. Bezerra, Rafaela Covello de Freitas, 2019, Comput. Electr. Eng..

Feature Selection and Model Design through GA Applied to Handwritten Digit Recognition from Historical Document Images

E. R. Silva, W. Santos, C. Zanchettin, 2008 .

Error measures based on winner-takes-all and the performance of multilayer perceptron classifier

W. Santos, M. M. Santos, 2016 .

Deep convolutional extreme learning machines: Filters combination and error model validation

Abel G. da Silva Filho, A. Filho, W. Santos, 2019, Neurocomputing.

A Dialectical Method to Classify Alzheimer's Magnetic Resonance Images

W. Santos, R. E. D. Souza, F. D. Assis, 2009 .

Evaluation of Alzheimer's disease by analysis of MR images using Objective Dialectical Classifiers as an alternative to ADC maps

Plínio B. Santos Filho, W. Santos, R. E. D. Souza, 2008, EMBC 2008.

Affinity estimation models of proteins for intelligent drug design based on pseudoconvolutions and nonlinear regressors

W. Santos, Janderson Ferreira, Laila Barros Campos, 2022, Research, Society and Development.

Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

Martin Styner, Isabelle Bloch, Abel G. Silva-Filho, 2018, bioRxiv.

Breast cancer diagnosis using thermal image analysis: A data-driven approach based on swarm intelligence and supervised learning for optimized feature selection

Wellington Pinheiro dos Santos, Carmelo J. A. Bastos Filho, Mariana Macedo, 2021, Appl. Soft Comput..

Developing 3D human-computer interfaces and serious games for health education in the Brazilian countryside using participatory design and popular education

Wellington Pinheiro dos Santos, Abel G. da Silva Filho, Cecilia Cordeiro da Silva, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Plantasmed: a mobile application to promote the rational use of medicinal plants in Brazil’s countryside based on participatory HCI design and popular education for health

Wellington Pinheiro dos Santos, Cristine Martins Gomes de Gusmão, Susane B. de Souza, 2014, 2014 IEEE 3nd International Conference on Serious Games and Applications for Health (SeGAH).

Ilera-Aiye: A virtual world for the development of serious games for health education and promotion in the Northeastern Brazilian countryside

Wellington Pinheiro dos Santos, Abel G. da Silva Filho, Cristine Martins Gomes de Gusmão, 2014, 2014 IEEE 3nd International Conference on Serious Games and Applications for Health (SeGAH).

Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images

F. R. Cordeiro, W. P. Santos, A. G. Silva-Filho, 2017, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Morphological extreme learning machines applied to the detection and classification of mammary lesions

Sidney M. L. Lima, Washington Wagner Azevedo da Silva, Maíra Araújo de Santana, 2021 .

A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images pdf

Abel G. Silva-Filho, Filipe R. Cordeiro, Wellington P. Santos, 2016, Expert Syst. Appl..

An adaptive semi-supervised Fuzzy GrowCut algorithm to segment masses of regions of interest of mammographic images

Abel G. Silva-Filho, Wellington Pinheiro dos Santos, Filipe R. Cordeiro, 2016, Appl. Soft Comput..

Fuzzy Morphological Extreme Learning Machines to detect and classify masses in mammograms

Wellington Pinheiro dos Santos, Filipe R. Cordeiro, Sidney M. L. Lima, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

to Detect and Classify Masses in Mammograms

Abel G. Silva-Filho, Filipe R. Cordeiro, Washington W. Azevedo, 2015 .

Hybrid Metaheuristics Applied to Image Reconstruction for an Electrical Impedance Tomography Prototype

Rafaela Covello de Freitas, Wellington P. dos Santos, Reiga R. Ribeiro, 2018 .

Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

Martin Styner, Isabelle Bloch, Abel G. Silva-Filho, 2018, Scientific Reports.

Mean Multiclass Type I and II Errors for Training Multilayer Perceptron with Particle Swarm in Image Segmentation

Wellington Pinheiro dos Santos, Mêuser Jorge Silva Valença, Michel M. dos Santos, 2012, IDEAL.

Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning

Clarisse Lins de Lima, P. Kostkova, W. Santos, 2021, Research, Society and Development.

Breast cancer diagnosis based on mammary thermography and extreme learning machines

Rita de Cássia Fernandes de Lima, Washington Wagner Azevedo da Silva, Maíra Araújo de Santana, 2018 .

Detection and classification of mammary lesions using artificial neural networks and morphological wavelets

Wellington Pinheiro dos Santos, Thais Nayara da Cruz, Thamyris Mayara da Cruz, 2018 .

Exploratory study of the effect of binaural beat stimulation on the EEG activity pattern in resting state using artificial neural networks

Wellington Pinheiro dos Santos, Rafaela Covello de Freitas, Washington Wagner Azevedo da Silva, 2019, Cognitive Systems Research.

Using Artificial Neural Networks on Multi-channel EEG Data to Detect the Effect of Binaural Stimuli in Resting State

Rafaela Covello de Freitas, W. P. dos Santos, W. Santos, 2019, Series in BioEngineering.

Next generation antivirus endowed with bitwise morphological extreme learning machines

Wellington Pinheiro dos Santos, Sidney M. L. Lima, Thyago de Amorim Monteiro, 2021, Microprocess. Microsystems.

An adaptive fuzzy-based system to simulate, quantify and compensate color blindness pdf

Wellington Pinheiro dos Santos, Jinmi Lee, W. Santos, 2017, Integr. Comput. Aided Eng..

Gauss–Seidel Extreme Learning Machines

Wellington Pinheiro dos Santos, Byron L. D. Bezerra, Rafaela Covello de Freitas, 2020, SN Computer Science.

ZIKA: A New System to Empower Health Workers and Local Communities to Improve Surveillance Protocols by E-learning and to Forecast Zika Virus in Real Time in Brazil

Wellington Pinheiro dos Santos, Patty Kostkova, Tiago Massoni, 2018, DH.

Detection and classification of masses in mammographic images in a multi-kernel approach pdf

Wellington Pinheiro dos Santos, Sidney M. L. Lima, Abel G. da Silva Filho, 2016, Comput. Methods Programs Biomed..

Micro-structural information of porous materials by optical coherence tomography

Alex Sandro Gomes, S. L. Campello, W. Santos, 2014 .

Reconstruction of electrical impedance tomography images using genetic algorithms and non-blind search

Allan R. S. Feitosa, Wellington Pinheiro dos Santos, Reiga R. Ribeiro, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Deep learning for early diagnosis of Alzheimer’s disease: a contribution and a brief review

Manoel Eusebio de Lima, Roberta Andrade de Araújo Fagundes, Washington Wagner Azevedo da Silva, 2020 .

Dialectical multispectral classification of diffusion-weighted magnetic resonance images as an alternative to apparent diffusion coefficients maps to perform anatomical analysis

Francisco Marcos de Assis, Wellington Pinheiro dos Santos, Fernando Buarque de Lima Neto, 2009, Comput. Medical Imaging Graph..

A dialectical approach for classification of DW-MR Alzheimer’s images

Francisco Marcos de Assis, Wellington Pinheiro dos Santos, Fernando Buarque de Lima Neto, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Evaluation of Alzheimer's Disease by Analysis of MR Images Using Multilayer Perceptrons, Polynomial Nets and Kohonen LVQ Classifiers

Wellington Pinheiro dos Santos, Ricardo Emmanuel de Souza, Ascendino F. D. e Silva, 2007, MIRAGE.

Evaluation of Alzheimer's disease by analysis of MR images using multilayer perceptrons and committee machines

Wellington Pinheiro dos Santos, Ricardo Emmanuel de Souza, Ascendino F. D. e Silva, 2008, Comput. Medical Imaging Graph..

Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

Francisco Javier Vera-Olmos, O. Commowick, M. Styner, 2018, Scientific Reports.

Model Based on Deep Feature Extraction for Diagnosis of Alzheimer’s Disease

Wellington Pinheiro dos Santos, Iago R. R. Silva, Gabriela S. L. Silva, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Reconstruction of electrical impedance tomography images using chaotic self-adaptive ring-topology differential evolution and genetic algorithms

Allan R. S. Feitosa, Wellington Pinheiro dos Santos, Reiga R. Ribeiro, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Image Reconstruction of Electrical Impedance Tomography Using Fish School Search and Differential Evolution

Rafaela Covello de Freitas, Wellington P. dos Santos, Reiga R. Ribeiro, 2018 .

ZIKA Virus: Prediction of Aedes Mosquito Larvae Occurrence in Recife (Brazil) using Online Extreme Learning Machine and Neural Networks

Wellington Pinheiro dos Santos, Patty Kostkova, Adrian Rubio-Solis, 2019, PDH.

Deep-Wavelets and convolutional neural networks to support breast cancer diagnosis on thermography images

Valter A. F. Barbosa, M. A. de Santana, W. P. dos Santos, 2022, Comput. methods Biomech. Biomed. Eng. Imaging Vis..