Wellington Pinheiro dos Santos
Orcid: 0000-0003-2558-6602
According to our database1,
Wellington Pinheiro dos Santos
authored at least 55 papers
between 2007 and 2024.
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Bibliography
2024
Next-generation antivirus for JavaScript malware detection based on dynamic features.
Knowl. Inf. Syst., February, 2024
2023
Frontiers Neurorobotics, June, 2023
COVID-19's influence on cardiac function: a machine learning perspective on ECG analysis.
Medical Biol. Eng. Comput., May, 2023
Deep-Wavelets and convolutional neural networks to support breast cancer diagnosis on thermography images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023
Next-generation antivirus endowed with web-server Sandbox applied to audit fileless attack.
Soft Comput., February, 2023
Emotion Recognition to Support Personalized Therapy: An Approach Based on a Hybrid Architecture of CNN and Random Forest.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023
2022
An Evaluation of the OpenWeatherMap API versus INMET Using Weather Data from Two Brazilian Cities: Recife and Campina Grande.
Data, 2022
Early prediction of generalized infection in intensive care units from clinical data: a committee-based machine learning approach.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022
2021
Next generation antivirus endowed with bitwise morphological extreme learning machines.
Microprocess. Microsystems, 2021
Features Selection Study for Breast Cancer Diagnosis Using Thermographic Images, Genetic Algorithms, and Particle Swarm Optimization.
Int. J. Artif. Intell. Mach. Learn., 2021
Breast cancer diagnosis using thermal image analysis: A data-driven approach based on swarm intelligence and supervised learning for optimized feature selection.
Appl. Soft Comput., 2021
2020
2019
Deep convolutional extreme learning machines: Filters combination and error model validation.
Neurocomputing, 2019
Exploratory study of the effect of binaural beat stimulation on the EEG activity pattern in resting state using artificial neural networks.
Cogn. Syst. Res., 2019
Electromyography-controlled car: A proof of concept based on surface electromyography, Extreme Learning Machines and low-cost open hardware.
Comput. Electr. Eng., 2019
A Model for Diagnosis of Alzheimer's Disease Using Haralick Texture Features and Meta Feature Selection.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
ZIKA Virus: Prediction of Aedes Mosquito Larvae Occurrence in Recife (Brazil) using Online Extreme Learning Machine and Neural Networks.
Proceedings of the 9th International Conference on Digital Public Health, 2019
Assessing the Relationship between various Climatic Risk Factors & Mosquito Abundance in Recife, Brazil.
Proceedings of the 9th International Conference on Digital Public Health, 2019
2018
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.
Proceedings of the 2018 International Conference on Digital Health, 2018
2017
Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm.
Int. J. Swarm Intell. Res., 2017
Avaliação da doença de Alzheimer pela análise multiespectral de imagens DW-MR por redes RBF como alternativa aos mapas ADC.
CoRR, 2017
Triagem virtual de imagens de imuno-histoquímica usando redes neurais artificiais e espectro de padrões.
CoRR, 2017
Evaluation of Alzheimer's Disease by Analysis of MR Images using Multilayer Perceptrons and Kohonen SOM Classifiers as an Alternative to the ADC Maps.
CoRR, 2017
Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017
Random Walker with Fuzzy Initialization Applied to Segment Masses in Mammography Images.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
SmartHome Energy Saving Using a Multi-objective Approach Based on Appliances Usage Profiles.
Proceedings of the Advances in Artificial Intelligence, 2017
2016
A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images.
Expert Syst. Appl., 2016
Detection and classification of masses in mammographic images in a multi-kernel approach.
Comput. Methods Programs Biomed., 2016
An adaptive semi-supervised Fuzzy GrowCut algorithm to segment masses of regions of interest of mammographic images.
Appl. Soft Comput., 2016
Evaluation-Oriented Training via Surrogate Metrics for Multiple Sclerosis Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Morphological extreme learning machines applied to detect and classify masses in mammograms.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Fuzzy Morphological Extreme Learning Machines to detect and classify masses in mammograms.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
A methodology to design low cost mobile applications for health for rural communities using participatory design and popular education.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Developing 3D human-computer interfaces and serious games for health education in the Brazilian countryside using participatory design and popular education.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Reconstruction of electrical impedance tomography images using chaotic self-adaptive ring-topology differential evolution and genetic algorithms.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
A methodology for classification of lesions in mammographies using Zernike Moments, ELM and SVM Neural Networks in a multi-kernel approach.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Reconstruction of electrical impedance tomography images using chaotic ring-topology particle swarm optimization and non-blind search.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
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.
Proceedings of the 3nd IEEE International Conference on Serious Games and Applications for Health, 2014
Ilera-Aiye: A virtual world for the development of serious games for health education and promotion in the Northeastern Brazilian countryside.
Proceedings of the 3nd IEEE International Conference on Serious Games and Applications for Health, 2014
Reconstruction of electrical impedance tomography images using genetic algorithms and non-blind search.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Proceedings of the MEDINFO 2013, 2013
2012
Mean Multiclass Type I and II Errors for Training Multilayer Perceptron with Particle Swarm in Image Segmentation.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
2011
Integr. Comput. Aided Eng., 2011
2010
Int. J. Hybrid Intell. Syst., 2010
2009
Dialectical multispectral classification of diffusion-weighted magnetic resonance images as an alternative to apparent diffusion coefficients maps to perform anatomical analysis.
Comput. Medical Imaging Graph., 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Evaluation of Alzheimer's disease by analysis of MR images using multilayer perceptrons and committee machines.
Comput. Medical Imaging Graph., 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Evaluation of Alzheimer's Disease by Analysis of MR Images Using Multilayer Perceptrons, Polynomial Nets and Kohonen LVQ Classifiers.
Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2007
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007