Koichiro Yasaka

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Model Architectures — 6 citations into it

Whom Koichiro Yasaka trusts overall

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

1. Yoshua Bengio
2. R. Caruana
3. Geoffrey E. Hinton
4. Sergey Ioffe
5. Vinod Nair
6. Christian Szegedy
7. Yann LeCun
8. John C. Duchi
9. Alex Krizhevsky
10. Kaiming He

Who trusts Koichiro Yasaka overall

1. Rikiya Yamashita
2. Xi Ouyang
3. Mizuho Nishio

Papers from Koichiro Yasaka's perspective

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

Their papers

• Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study. (2017) — 595 citations
• Deep learning with convolutional neural network in radiology (2018) — 346 citations