1. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mane, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viegas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., Zheng, X., 2016. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
2. Application of Bayesian framework for evaluation of streamflow simulations using multiple climate models;Achieng;J. Hydrol.,2019
3. Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis;Adamowski;J. Hydrol.,2008
4. Streamflow forecasting of Astore River with Seasonal Autoregressive Integrated Moving Average model;Adnan;ESJ,2017
5. Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models;Bai;J. Hydrol.,2016