G. Bae

2011

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Who trusts G. Bae overall

1. Chaopeng Shen

Papers from G. Bae's perspective

Ordered by how strongly the researchers G. Bae trusts endorse each paper. Same corpus, a different order for every researcher.

1. A data‐driven algorithm for constructing artificial neural network rainfall‐runoff models
2. Model Induction with Support Vector Machines: Introduction and Applications
3. Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations
4. Fast Training of Support Vector Machines using Sequential Minimal Optimization
5. Time Series Analysis: Forecasting and Control
6. FLOOD STAGE FORECASTING WITH SUPPORT VECTOR MACHINES 1
7. Robust estimation of hydrological model parameters
8. Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
9. Multilayer feedforward networks are universal approximators
10. Neural Networks: A Comprehensive Foundation

Their papers

• A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer (2011) — 588 citations