Yasubumi Sakakibara

Molecular Biology · 2011–2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 36 citations into it; #7,989 of 17,773 by trust here, #10,347 by citations
• Genetics — 5 citations into it

Whom Yasubumi Sakakibara 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

Who trusts Yasubumi Sakakibara overall

1. Minkyung Baek

Papers from Yasubumi Sakakibara's perspective

Ordered by how strongly the researchers Yasubumi Sakakibara 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• RNA secondary structure prediction using deep learning with thermodynamic integration (2020) — 362 citations
• MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads (2011) — 642 citations