Tatsuya Akutsu

Molecular Biology · 2000–2022

A researcher in the Science corpus: 11 papers; trusts 17 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Tatsuya Akutsu trusts overall

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

  1. Minoru Kanehisa
  2. Temple F. Smith
  3. Alex Smola
  4. Weizhong Li
  5. Susumu Goto
  6. Bernhard Schölkopf
  7. Stephen F. Altschul
  8. Zheng Zhang
  9. Christina S. Leslie
  10. Kristin P. Bennett

Who trusts Tatsuya Akutsu overall

  1. Hongsheng Qi
  2. DaiZhan Cheng
  3. Zhiyong Wang
  4. Jing Yu
  5. Robert M. Dirks
  6. Hakim Tafer
  7. Karsten M. Borgwardt
  8. Ilya Shmulevich
  9. Kengo Sato
  10. Nils M. Kriege

Papers from Tatsuya Akutsu's perspective

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

  1. Long Short-Term Memory
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Human-level control through deep reinforcement learning
  6. ImageNet classification with deep convolutional neural networks
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. Gradient-based learning applied to document recognition

Their papers