Yun Sang Park

Epilepsia · 2011

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yun Sang Park trusts overall

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

1. Vladimir Naumovich Vapni
2. Robert A. Lordo
3. Dan Simon
4. Xiao Li
5. Florian Mormann
6. Sebastian Mika
7. Radford M. Neal
8. Ye-Yi Wang
9. Ralph G. Andrzejak
10. Bernhard Schölkopf

Papers from Yun Sang Park's perspective

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

1. The Nature of Statistical Learning Theory
2. Pattern Recognition and Machine Learning
3. An Introduction to Variable and Feature Selection
4. Learning query intent from regularized click graphs (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
5. Fisher discriminant analysis with kernels
6. Gradient-based learning applied to document recognition
7. Support Vector Data Description
8. Electrical stimulation of the anterior nucleus of thalamus for treatment of refractory epilepsy (Epilepsia)
9. ImageNet classification with deep convolutional neural networks
10. Learning from Data: Concepts, Theory, and Methods (Technometrics)

Their papers

• Seizure prediction with spectral power of EEG using cost‐sensitive support vector machines (2011) — 380 citations