O-Yeon Kwon

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 O-Yeon Kwon trusts overall

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

1. Benjamin Blankertz
2. Gert Pfurtscheller
3. Fabien Lotte
4. Mohit Sewak
5. Yann LeCun
6. Herbert Ramoser
7. Alex Krizhevsky
8. Geoffrey E. Hinton
9. Evan Shelhamer
10. Yousef Rezaei Tabar

Who trusts O-Yeon Kwon overall

1. Yi Ding
2. Hamdi Altaheri

Papers from O-Yeon Kwon's perspective

Ordered by how strongly the researchers O-Yeon Kwon 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. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

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