1. Time series feature extraction on basis of scalable hypothesis tests (tsfresh–a python package);Christ;Neurocomputing,2018
2. At-lstm: an attention-based lstm model for financial time series prediction;Zhang,2019
3. A deep learning framework for univariate time series prediction using convolutional LSTM stacked autoencoders;Essien,2019
4. Deep learning with long short-term memory for time series prediction;Hua;IEEE Commun. Mag.,2019
5. A survey on deep learning in big data;Gheisari,2017