Nima Aghaeepour

Molecular Biology · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nima Aghaeepour trusts overall

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

  1. John C. Platt
  2. Kurt Hornik
  3. Anil K. Jain
  4. Nello Cristianini
  5. Robert Gentleman
  6. David Arthur
  7. Ron Wehrens
  8. Petra Schneider
  9. Clive L. Dym
  10. Sean Bendall

Who trusts Nima Aghaeepour overall

  1. Eirini Arvaniti
  2. Joseph A. DiGiuseppe
  3. Le Song
  4. S. van Gassen
  5. Gilles Blanchard
  6. Manfred Claassen

Papers from Nima Aghaeepour's perspective

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

  1. Et al
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Support vector machine learning for interdependent and structured output spaces
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers