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A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic., , , and . CoRR, (2020)An autoencoder-based deep learning approach for clustering time series data, , , , and . SN Applied Sciences, (April 2020)Clustering Time Series Data through Autoencoder-based Deep Learning Models, , , , and . (2020)cite arxiv:2004.07296.A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data., , , and . IEEE BigData, page 2415-2420. IEEE, (2021)Forecasting Economics and Financial Time Series: ARIMA vs. LSTM, and . (2018)cite arxiv:1803.06386Comment: 19 pages, 2 figures, 1 diagram, 2 listings.A Comparison of ARIMA and LSTM in Forecasting Time Series., , and . ICMLA, page 1394-1401. IEEE, (2018)A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic., , , and . IEEE BigData, page 2079-2086. IEEE, (2020)The Performance of LSTM and BiLSTM in Forecasting Time Series., , and . IEEE BigData, page 3285-3292. IEEE, (2019)Can Machine/Deep Learning Classifiers Detect Zero-Day Malware with High Accuracy?, , , , and . IEEE BigData, page 3252-3259. IEEE, (2019)