Young‐Seuk Park

Artificial Intelligence · 2003–2006

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it

Whom Young‐Seuk Park trusts overall

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

1. Teuvo Kohonen
2. A. Goh
3. Hubert W. Lilliefors
4. David E. Rumelhart
5. Anil K. Jain
6. Juha Vesanto
7. J. Zurada
8. Jingtao Yao
9. Geoffrey E. Hinton
10. Esa Alhoniemi

Who trusts Young‐Seuk Park overall

1. Susan P. Worner
2. M. Gevrey

Papers from Young‐Seuk Park's perspective

Ordered by how strongly the researchers Young‐Seuk Park trusts endorse each paper. Same corpus, a different order for every researcher.

1. Self-Organizing Maps
2. Algorithms for Clustering Data
3. A Cluster Separation Measure
4. Artificial neural network approach for modelling and prediction of algal blooms
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Back-propagation neural networks for modeling complex systems
7. Forecasting and Analysis of Marketing Data Using Neural Networks
8. Interpreting neural-network connection weights
9. A Stochastic Approximation Method
10. Long Short-Term Memory

Their papers

• Hazard rating of pine trees from a forest insect pest using artificial neural networks (2006) — 47 citations
• Predicting the species richness of aquatic insects in streams using a limited number of environmental variables (2003) — 89 citations
• Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters (2003) — 417 citations