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Automatic model selection in ensembles for time series forecasting
ArticleAbstract: Long-term forecasting in time series is still an open problem, but promising advances have been achiPalabras claves:Building Ensembles, Meta-Features, Multi-Step Time Series Pbkp_rediction, Self-Organizing MapsAutores:Gomez P., Rigoberto Fonseca-DelgadoFuentes:googlescopusBIOMEX-DB: A Cognitive Audiovisual Dataset for Unimodal and Multimodal Biometric Systems
ArticleAbstract: Multimodal biometric schemes arise as an interesting solution to the multidimensional reinforcementPalabras claves:Biometrics, brain-computer, classification algorithms, electroencephalography, face recognition, image classification, multiple signal classification, speaker recognitionAutores:Arechiga-Martinez R., Atenco-Vazquez J.C., Gomez-Gil P., Moreno-Rodriguez J.C., Ramírez-Cortés M., Rigoberto Fonseca-DelgadoFuentes:googlescopusAn assessment of ten-fold and Monte Carlo cross validations for time series forecasting
Conference ObjectAbstract: On a meta-learning process, the key is to build a reliable meta-training data set, which requires thPalabras claves:Autores:Gomez-Gil P., Rigoberto Fonseca-DelgadoFuentes:googlescopusAnalysis 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:googlescopusDesign decisions under object-oriented approach: A thematic analysis from the abstraction point of view
Conference ObjectAbstract: Many authors consider abstraction as one of the key principles in objected-oriented approach, but thPalabras claves:Abstraction, Object-oriented approach, QUALITATIVE RESEARCHAutores:Jenny Torres, Pamela Flores, Rigoberto Fonseca-DelgadoFuentes:googlescopusGeneralized binary utility functions and fair allocations
ArticleAbstract: The problem of finding envy-free allocations of indivisible goods cannot always be solved; thereforePalabras claves:Additive utility function, Allocation of indivisible goods/chores, EFFICIENCY, Envy-free up to one good/choreAutores:Franklin José Camacho, Guido Tapia-Riera, Pino R., 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:googlescopus