G. Verlato

Artificial Intelligence · 2020

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 G. Verlato trusts overall

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

  1. Geoffrey E. Hinton
  2. Kee Yuan Ngiam
  3. Danilo Bzdok

Papers from G. Verlato's perspective

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

  1. Dermatologist-level classification of skin cancer with deep neural networks
  2. High-performance medicine: the convergence of human and artificial intelligence
  3. Big data and machine learning algorithms for health-care delivery. (The Lancet Oncology)
  4. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
  5. Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards (Critical Care Medicine)
  6. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
  7. Deep Learning-A Technology With the Potential to Transform Health Care.
  8. Machine Learning in Medicine (New England Journal of Medicine)
  9. Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure: Comparison of Machine Learning and Other Statistical Approaches (JAMA cardiology)
  10. Calibration: the Achilles heel of predictive analytics (BMC Medicine)

Their papers