A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting - researchr publication authors

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Iliana Paliari, Aikaterini Karanikola, Sotiris Kotsiantis. A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting. In Nikolaos G. Bourbakis, George A. Tsihrintzis, Maria Virvou, editors, 12th International Conference on Information, Intelligence, Systems & Applications, IISA 2021, Chania Crete, Greece, July 12-14, 2021. pages 1-7, IEEE, 2021. [doi]

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