Felipe Kenji Nakano

Molecular Biology · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Felipe Kenji Nakano trusts overall

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

  1. Yu Li
  2. Maxat Kulmanov
  3. Jonatas Wehrmann
  4. Daniela Stojanova
  5. German Ignacio Parisi
  6. Celine Vens
  7. Zhongxiao Li
  8. Mohammed Asif Khan
  9. Lizhong Ding
  10. Ricardo Cerri

Papers from Felipe Kenji Nakano's perspective

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

  1. Continual Lifelong Learning with Neural Networks: A Review (Neural Networks)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. DEEPre: sequence-based enzyme EC number prediction by deep learning
  5. ImageNet classification with deep convolutional neural networks
  6. DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. A large-scale evaluation of computational protein function prediction
  9. The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes. (Nucleic Acids Research)
  10. Cascaded multiple classifiers for secondary structure prediction

Their papers