Saman Zeeshan

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Saman Zeeshan trusts overall

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

  1. Geoffrey E. Hinton
  2. William Stafford Noble
  3. Kee Yuan Ngiam

Papers from Saman Zeeshan's perspective

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

  1. Support-Vector Networks
  2. A training algorithm for optimal margin classifiers
  3. ImageNet classification with deep convolutional neural networks
  4. Statistical Inference for Probabilistic Functions of Finite State Markov Chains
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Dermatologist-level classification of skin cancer with deep neural networks
  7. Gradient-based learning applied to document recognition
  8. High-performance medicine: the convergence of human and artificial intelligence
  9. Scalable and accurate deep learning with electronic health records
  10. Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features (Nature Communications)

Their papers