Shigeki Nakagome

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #21,452 of 35,345 by trust here, #33,294 by citations
• Statistics and Probability — 9 citations into it; #7,880 of 12,932 by trust here, #11,487 by citations
• Probabilistic & Bayesian Methods — 7 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Shigeki Nakagome trusts overall

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

1. Kenji Fukumizu
2. MARK A. Beaumont
3. Alex Smola
4. Le Song
5. Arthur Gretton
6. Paul Marjoram
7. Shai Fine
8. Matthew Stephens
9. Bernhard Schölkopf
10. Michael G. B. Blum

Who trusts Shigeki Nakagome overall

1. Kenji Fukumizu
2. Mijung Park
3. Le Song
4. Wittawat Jitkrittum
5. Arthur Gretton
6. Dino Sejdinovic

Papers from Shigeki Nakagome's perspective

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

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

Their papers

• Kernel approximate Bayesian computation in population genetic inferences (2012) — 61 citations