63 citations · 67 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Extension of Convolutional Neural Network along Temporal and Vertical Directions for Precipitation Downscaling
Takeyoshi Nagasato, Kei Ishida, Ali Ercan +4
Deep learning has been utilized for the statistical downscaling of climate data. Specifically, a two-dimensional (2D) convolutional neural network (CNN) has been successfully appli…
cs.LG2021★ 3 cited
Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling
Kei Ishida, Ali Ercan, Takeyoshi Nagasato +2
An architecture consisting of a serial coupling of the one-dimensional convolutional neural network (1D-CNN) and the long short-term memory (LSTM) network, which is referred as CNN…
physics.ao-ph2021★ 63 cited
Capabilities of Deep Learning Models on Learning Physical Relationships: Case of Rainfall-Runoff Modeling with LSTM
Kazuki Yokoo, Kei Ishida, Ali Ercan +4
This study investigates the relationships which deep learning methods can identify between the input and output data. As a case study, rainfall-runoff modeling in a snow-dominated…