1. Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
2. Kavosh Asadi , Dipendra Misra , Seungchan Kim , and Michel L Littman . 2019. Combating the compounding-error problem with a multi-step model. arXiv preprint arXiv:1905.13320 ( 2019 ). Kavosh Asadi, Dipendra Misra, Seungchan Kim, and Michel L Littman. 2019. Combating the compounding-error problem with a multi-step model. arXiv preprint arXiv:1905.13320 (2019).
3. Jordan T Ash , Chicheng Zhang , Akshay Krishnamurthy , John Langford , and Alekh Agarwal . 2019. Deep batch active learning by diverse, uncertain gradient lower bounds. arXiv preprint arXiv:1906.03671 ( 2019 ). Jordan T Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, and Alekh Agarwal. 2019. Deep batch active learning by diverse, uncertain gradient lower bounds. arXiv preprint arXiv:1906.03671 (2019).
4. Elena M Bennett , Garry D Peterson , and Line J Gordon . 2009. Understanding relationships among multiple ecosystem services. Ecology letters 12, 12 ( 2009 ), 1394--1404. Elena M Bennett, Garry D Peterson, and Line J Gordon. 2009. Understanding relationships among multiple ecosystem services. Ecology letters 12, 12 (2009), 1394--1404.
5. Leo Breiman . 2001. Random forests. Machine learning 45 ( 2001 ), 5--32. Leo Breiman. 2001. Random forests. Machine learning 45 (2001), 5--32.