M. Maloof

Statistical Learning Theory · 2003–2007

A researcher in the Science corpus: 5 papers; trusts 64 researchers and is trusted by 73 researchers here, as inferred from the citation graph.

Subfields

Whom M. Maloof trusts overall

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

  1. J. Ross Quinlan
  2. Jeffrey C. Schlimmer
  3. Foster J. Provost
  4. Andrew P. Bradley
  5. David William Aha
  6. Yoav Freund
  7. Nick Littlestone
  8. Ryszard S. Michalski
  9. William W. Cohen
  10. Leo Breiman

Who trusts M. Maloof overall

  1. H. S. Anderson
  2. Nitesh V. Chawla
  3. Haibo He
  4. Hongyu Guo
  5. Robert Goeddel
  6. Mateusz Buda
  7. Leandro L. Minku
  8. Clifton Phua
  9. Jiaming Zeng
  10. Konrad Rieck

Papers from M. Maloof's perspective

Ordered by how strongly the researchers M. Maloof 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers