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2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
2019 6th International Conference on eDemocracy and eGovernment, ICEDEG 2019(1)
2019 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2019(1)
Lecture Notes in Networks and Systems(1)
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Classification of subjects with parkinson's disease using finger tapping dataset
Conference ObjectAbstract: Parkinson's disease is the second most common neurodegenerative disorder and affects more than 7 milPalabras claves:classification, Finger Tapping, Machine learning, Parkinson's DiseaseAutores:Diego Hernán Peluffo-Ordóñez, Enrique Pelaez, Francis R. Loayza, Leandro L. Lorente-Leyva, Sanchez-Pozo N.N., Victor Asanza ArmijosFuentes:scopusA Machine Learning-Based algorithm for the assessment of clinical metabolomic fingerprints in Zika virus disease
Conference ObjectAbstract: Data analysis for metabolomic studies is challenging considering the number of statistical tools andPalabras claves:logistic regression, Machine learning, PCa, SVM, Zika VirusAutores:Barrett M., Enrique Pelaez, Fernanda Bertuccez Cordeiro, Regato M., Washington Cardenas Medranda, Zambrano M.P.Fuentes:googlescopusA Pipeline for Segmenting and Classifying Brain Lesions Caused by Stroke: A Machine Learning Approach
Conference ObjectAbstract: Brain injuries caused by strokes are one of the leading causes of disability in the world. Current pPalabras claves:Artificial Intelligence, Brain injuries, Machine learning, strokeAutores:Alex Macas, Enrique Pelaez, Francis R. Loayza, Franco-Maldonado H., Roberto MenaFuentes:scopusA comparison of deep learning models for detecting COVID-19 in chest X-ray images
Conference ObjectAbstract: COVID-19 has spread around the world rapidly causing a pandemic. In this research, a set of Deep LeaPalabras claves:Convolutional neural network, covid-19, Machine learning, Transfer learning, X-Ray Image AnalysisAutores:Enrique Pelaez, Geancarlo Murillo, Ricardo Serrano, Washington B. CárdenasFuentes:scopusA fuzzy cognitive map (FCM) as a learning model for early prognosis of seasonal related virus diseases in tropical regions
Conference ObjectAbstract: Fuzzy Cognitive Maps (FCMs) and current developments in Machine Learning have been contributing in cPalabras claves:Causal Complex Systems, Dengue fever, Fuzzy Cognitive Maps, Knowledge Representation, Machine learning, Tropical Seasonal DiseasesAutores:Enrique PelaezFuentes:googlescopusA voice analysis approach for recognizing Parkinson's disease patterns
Conference ObjectAbstract: Many of the patients diagnosed with Parkinson's disease (PD) do not know they have it until the mostPalabras claves:Machine learning, PÁRKINSON, Voice AnalysisAutores:Enrique Pelaez, Francis R. Loayza, Paucar G. Bryan, Yu Chen TaiFuentes:scopusPattern recognition of white matter lesions associated with diabetes mellitus type 2
Conference ObjectAbstract: The White Matter Hyperintensities (WMHs) are usually associated with diabetes which is relevant in mPalabras claves:classification, DIABÉTES, Machine learning, segmentation, WMH brain lesionsAutores:Alvarado R., Enrique Pelaez, Francis R. Loayza, Jocellyn Luna, Pastor M.A.Fuentes:scopusSupervised pattern recognition techniques for detecting motor intention of lower limbs in subjects with cerebral palsy
Conference ObjectAbstract: Cerebral Palsy (CP) is one of the major conditions that prevent subjects suffering from having freePalabras claves:Brain computer interface, Cerebral palsy, electroencephalography, Machine learning, motor intentionsAutores:Enrique Pelaez, Francis R. Loayza, Victor Asanza ArmijosFuentes:scopusSSVEP-EEG signal classification based on emotiv EPOC BCI and raspberry pi
Conference ObjectAbstract: This work presents the experimental design for recording Electroencephalography (EEG) signals in 20Palabras claves:Brain computer interface, classification, Data acquisition, Machine learning, SSVEP-EEG, XGBoostAutores:Enrique Pelaez, Félix Rosales-Uribe, Francis R. Loayza, Hector Trivino-Gonzalez, Jamil Torres-Brunes, Karla Avilés-Mendoza, Raquel Tinoco-Egas, Ricardo Alfredo Cajo Diaz, Victor Asanza ArmijosFuentes:scopus