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A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy.
Daniel Trujillo Viedma
Antonio Jesús Rivera Rivas
Francisco Charte Ojeda
María José del Jesus Díaz
Published in:
IWANN (1) (2019)
Keyphrases
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preprocessing
computational cost
benchmark datasets
significant improvement
image processing
computational complexity
feature space
non stationary
artificial neural networks
classification accuracy
high accuracy
empirical studies
cross validation
improved accuracy