Syuzo Kaneko

Molecular Biology · 2019–2024

A researcher in the Science corpus: 10 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Syuzo Kaneko trusts overall

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

  1. Ryuji Hamamoto
  2. Y. Kanda

Papers from Syuzo Kaneko's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Visualizing Data using t-SNE
  5. Learning representations by back-propagating errors
  6. The perceptron: a probabilistic model for information storage and organization in the brain.
  7. Domain-Adversarial Training of Neural Networks
  8. Histone demethylation mediated by the nuclear amine oxidase homolog LSD1. (Cell)
  9. Learning from delayed rewards
  10. Overexpression of LSD1 contributes to human carcinogenesis through chromatin regulation in various cancers

Their papers