Jakob S. Møller

Cognitive Neuroscience · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 10 citations into it

Whom Jakob S. Møller trusts overall

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

1. Shangkai Gao
2. Moritz Grosse-Wentrup
3. Yann LeCun
4. Pouya Bashivan

Papers from Jakob S. Møller's perspective

Ordered by how strongly the researchers Jakob S. Møller trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• An end-to-end deep learning approach to MI-EEG signal classification for BCIs (2018) — 334 citations