Sara Hamam

Artificial Intelligence · 2024

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 Sara Hamam trusts overall

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

  1. Matthieu Komorowski

Papers from Sara Hamam's perspective

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

  1. A survey on deep learning in medical image analysis
  2. Dissecting racial bias in an algorithm used to manage the health of populations
  3. The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
  4. Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks.
  5. Machine Learning in Medicine (New England Journal of Medicine)
  6. Fairness And Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, And Mitigation Strategies (Social Science Research Network)
  7. Long Short-Term Memory
  8. Human-level control through deep reinforcement learning
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers