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]
@inproceedings{PaliariKK21, title = {A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting}, author = {Iliana Paliari and Aikaterini Karanikola and Sotiris Kotsiantis}, year = {2021}, doi = {10.1109/IISA52424.2021.9555520}, url = {https://doi.org/10.1109/IISA52424.2021.9555520}, researchr = {https://researchr.org/publication/PaliariKK21}, cites = {0}, citedby = {0}, pages = {1-7}, booktitle = {12th International Conference on Information, Intelligence, Systems & Applications, IISA 2021, Chania Crete, Greece, July 12-14, 2021}, editor = {Nikolaos G. Bourbakis and George A. Tsihrintzis and Maria Virvou}, publisher = {IEEE}, isbn = {978-1-6654-0032-9}, }