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Analysis of factors that influence the performance of biometric systems based on EEG signals
ArticleAbstract: Searching for new biometric traits is currently a necessity because traditional ones such as fingerpPalabras claves:Biometrics, Discrete Wavelet Transform, Electroencephalogram, Performance factorsAutores:Dustin Carrión-Ojeda, Israel Pineda, Rigoberto Fonseca-DelgadoFuentes:googlescopusCOVID-19 Fake News Detection Using Joint Doc2Vec and Text Features with PCA
Conference ObjectAbstract: With the current pandemic, it is imperative to stay up to date with the news and many sources contriPalabras claves:fake news, Principal Component Analysis, Text classificationAutores:Carlos Chipantiza, Hector Andres Mejia, Isidro Rafael Amaro, Jose Llumiquinga, Rigoberto Fonseca-DelgadoFuentes:googlescopusAlzheimer’s disease diagnosis system using electroencephalograms and machine learning models
ArticleAbstract: Alzheimer’s disease (AD) is a neurodegenerative disorder that gradually destroys brain cells causingPalabras claves:Alzheimer’s disease, Electroencephalograms, feature selection, Feed forward neural networksAutores:Graciela M. Salum, Isidro Rafael Amaro, Paola Martínez-Arias, Rigoberto Fonseca-DelgadoFuentes:googlescopusFinding patterns in labeled graphs using spectrum feature vectors in a SOM network
Conference ObjectAbstract: Knowledge discovery in structured databases is very important nowadays. In the last years, graph-basPalabras claves:Autores:Gomez-Gil P., González J.A., Olmos I., Rigoberto Fonseca-DelgadoFuentes:googlescopusEBAPy: A Python framework for analyzing the factors that have an influence in the performance of EEG-based applications[Formula presented]
ArticleAbstract: EBAPy is an easy-to-use Python framework intended to help in the development of EEG-based applicatioPalabras claves:Discrete Wavelet Transform, EEG-based applications, Recording timeAutores:Dustin Carrión-Ojeda, Israel Pineda, Paola Martínez-Arias, Rigoberto Fonseca-DelgadoFuentes:googlescopusModeling diversity in ensembles for time-series pbkp_rediction based on self-organizing maps
Conference ObjectAbstract: A Self Organizing Map (SOM) projects high-dimensional feature vectors onto a low-dimensional space.Palabras claves:Autores:Gomez-Gil P., Rigoberto Fonseca-DelgadoFuentes:googlescopusLong-term pbkp_rediction of a sine function using a LSTM neural network
Book PartAbstract: In the past years, efforts have been made to improve the efficiency of long-term time series forecasPalabras claves:long short-Term memory, Long-term pbkp_rediction, Recurrent neural networks, TIME SERIESAutores:Alarcón-Aquino V., Gomez-Gil P., Jiménez-Guarneros M., Ramírez-Cortés M., Rigoberto Fonseca-DelgadoFuentes:googlescopusTemporal validated meta-learning for long-term forecasting of chaotic time series using Monte Carlo cross-validation
ArticleAbstract: Forecasting long-term values of chaotic time series is a difficult task, but it is required in severPalabras claves:Autores:Gomez-Gil P., Rigoberto Fonseca-DelgadoFuentes:googlescopus