Abid Ishaq

Artificial Intelligence · 2021

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

Subfields

Whom Abid Ishaq trusts overall

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

  1. Jerome H. Friedman
  2. Yoav Freund
  3. Bernhard Schölkopf
  4. Trevor J. Hastie
  5. V. Ramalingam
  6. Robert E. Schapire
  7. Zeinab Arabasadi
  8. Mohamad Mahmoud Al Rahhal
  9. Leo Breiman
  10. C. Burges

Papers from Abid Ishaq's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Random Forests
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Effective diagnosis of heart disease through neural networks ensembles (Expert systems with applications)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. The Nature of Statistical Learning Theory

Their papers