Manato Akiyama

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 18 citations into it; #10,211 of 17,773 by trust here, #15,531 by citations

Whom Manato Akiyama trusts overall

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

1. Diederik P. Kingma
2. Jonathan T. Barron
3. Geoffrey E. Hinton
4. Kaiming He
5. Douglas H. Turner
6. Nicholas R. Markham
7. Chuong B. Do
8. Alex Krizhevsky
9. Jimmy Ba
10. Ioannis Tsochantaridis

Who trusts Manato Akiyama overall

1. Minkyung Baek
2. Yang Li
3. Ryan McHugh

Papers from Manato Akiyama's perspective

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

Their papers

• RNA secondary structure prediction using deep learning with thermodynamic integration (2020) — 362 citations