Soo-Min Hong

Global and Planetary Change · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 6 citations into it
• Management, Monitoring, Policy and Law — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom Soo-Min Hong trusts overall

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

1. Vladimir Naumovich Vapnik
2. Biswajeet Pradhan
3. Saro Lee
4. Gavin C. Cawley

Who trusts Soo-Min Hong overall

1. Hamid Reza Pourghasemi

Papers from Soo-Min Hong's perspective

Ordered by how strongly the researchers Soo-Min Hong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
2. Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences)
3. Statistical analysis of landslide susceptibility at Yongin, Korea
4. New Support Vector Algorithms
5. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS (Computational Geosciences)
6. On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
7. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
8. The Nature of Statistical Learning
9. Determination and application of the weights for landslide susceptibility mapping using an artificial neural network
10. A training algorithm for optimal margin classifiers

Their papers

• A Support Vector Machine for Landslide Susceptibility Mapping in Gangwon Province, Korea (2017) — 166 citations