Chong-Yaw Wee

Cognitive Neuroscience · 2011–2016

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 55 citations into it; #5,955 of 10,852 by trust here, #6,526 by citations
• Physiology — 22 citations into it
• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Chong-Yaw Wee trusts overall

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

1. Geoffrey E. Hinton
2. Chih-Jen Lin
3. Christos Davatzikos
4. Cornelis J. Stam
5. Nathalie Tzourio-Mazoyer
6. Alexander Leemans
7. Catie Chang
8. Yong Fan
9. Randy L. Buckner
10. Vince D. Calhoun

Who trusts Chong-Yaw Wee overall

1. Heung-Il Suk
2. Dinggang Shen
3. Seong-Whan Lee
4. Mohammad R. Arbabshirani
5. Justin Ker

Papers from Chong-Yaw Wee's perspective

Ordered by how strongly the researchers Chong-Yaw Wee trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. A Fast Learning Algorithm for Deep Belief Nets
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• State-space model with deep learning for functional dynamics estimation in resting-state fMRI (2016) — 298 citations
• Machine Learning Techniques for AD/MCI Diagnosis and Prognosis (2014) — 21 citations
• Identification of MCI Individuals Using Structural and Functional Connectivity Networks (2011) — 384 citations