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Proceedings of the International Joint Conference on Neural Networks(2)
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2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2013(1)
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scopus(7)
BIOMEX-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: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: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:googlescopusSelecting and combining models with self-organizing maps for long-term forecasting of chaotic time series
Conference ObjectAbstract: When time series are generated by chaotic systems, a reasonable estimation of large pbkp_rediction hPalabras claves:Autores:Gomez-Gil P., 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