Min-Ho Lee

Cognitive Neuroscience · 2019

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 43 citations into it
• Cellular and Molecular Neuroscience — 21 citations into it
• Electrical and Electronic Engineering — 16 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 9 citations into it
• Human-Computer Interaction — 7 citations into it

Whom Min-Ho Lee trusts overall

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

1. Gert Pfurtscheller
2. Benjamin Blankertz
3. Herbert Ramoser
4. Alex Krizhevsky
5. Vangelis Sakkalis
6. Fabien Lotte
7. Geoffrey E. Hinton
8. Yann LeCun
9. Christoph Guger
10. Mohit Sewak

Who trusts Min-Ho Lee overall

1. Hamdi Altaheri
2. Yi Ding

Papers from Min-Ho Lee's perspective

Ordered by how strongly the researchers Min-Ho Lee 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy (2019) — 575 citations
• Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks (2019) — 297 citations