1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., 2016. Tensorflow: A system for large-scale machine learning. In: Symposium on Operating Systems Design and Implementation. pp. 265–283.
2. Surface and sub-surface flow estimation at high temporal resolution using deep neural networks;Abbas;J. Hydrol.,2020
3. On the treatment of evapotranspiration, soil moisture accounting, and aquifer recharge in monthly water balance models;Alley;Water Resour. Res.,1984
4. The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset;Ayzel;Comput. Geosci.,2021
5. Development of a regional gridded runoff dataset using long short-term memory (LSTM) networks;Ayzel;Hydrology,2021