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2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2013(1)
Advances in Intelligent Systems and Computing(1)
Expert Systems with Applications(1)
IEEE Latin America Transactions(1)
Proceedings of the International Joint Conference on Neural Networks(1)
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: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: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:googlescopus