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Models of performance of time series forecasters
(Elsevier B.V., 2013)
A neural network scheme for long-term forecasting of chaotic time series
(Springer Science+Business Media, 2011)
Time-series clustering via quasi U-statistics
(Wiley-blackwellHobokenEUA, 2012)
Initialisation and training procedures for wavelet networks applied to chaotic time series
(CRL Publishing Ltd, 2010)
Meta-aprendizaje auto-organizado temporal para predicción a largo plazo de series de tiempo caóticas
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2017)
Comparative Study of FDA and Time Series Approaches for Seabed Classification from Acoustic Curves
(Springer Heidelberg, 2019-04)
Seabed classification in coastal environments is usually accomplished using multivariate methods applied to acoustic features from corrected or uncorrected echoes. This paper presents a comparative study of alternative ...
Reconfigurable system for chaotic time series prediction
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2019)
Learning and distinguishing time series dynamics via ordinal patterns transition graphs
(Elsevier Science Inc, 2019-12)
Strategies based on the extraction of measures from ordinal patterns transformation, such as probability distributions and transition graphs, have reached relevant advancements in distinguishing different time series ...