Hamed Ghoddusi

Management Science and Operations Research · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hamed Ghoddusi trusts overall

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

  1. Leo Breiman
  2. Vladimir Naumovich Vapni
  3. Nima Amjady
  4. P. R. Hansen
  5. Rafal Weron
  6. Alex Hernandez-Garcia
  7. Ruoxuan Xiong
  8. Halbert White
  9. Peter König
  10. Thomas G. Dietterich

Papers from Hamed Ghoddusi's perspective

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

  1. The Nature of Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Bagging Predictors
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Dropout: a simple way to prevent neural networks from overfitting
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers