Seong-Chun Jun

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.

Whom Seong-Chun Jun trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Paulin Coulibaly
2. K. Sudheer

Who trusts Seong-Chun Jun overall

1. Chaopeng Shen

Papers from Seong-Chun Jun's perspective

Ordered by how strongly the researchers Seong-Chun Jun 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. Fast Training of Support Vector Machines using Sequential Minimal Optimization
3. Model Induction with Support Vector Machines: Introduction and Applications
4. Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations
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