Satoshi Takahashi
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it
Whom Satoshi Takahashi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter J. Rousseeuw
- L. V. D. van der Maaten
- Chunhui Yuan
- Scott M. Lundberg
- Kumardeep Chaudhary
- Geoffrey E. Hinton
- Ken Asada
- Su-In Lee
- Haitao Yang
Who trusts Satoshi Takahashi overall
Papers from Satoshi Takahashi's perspective
Ordered by how strongly the researchers Satoshi Takahashi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Visualizing Data using t-SNE
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Domain-Adversarial Training of Neural Networks
Their papers
- Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data (2020) — 65 citations
- Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer (2020) — 48 citations
- Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine (2020) — 149 citations