Camille Nebeker

Current Psychiatry Reports · 2019

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

Whom Camille Nebeker trusts

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

  1. S. Kotsiantis (in Evaluation & Benchmarks)

Papers from Camille Nebeker's perspective

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

  1. Computing Machinery and Intelligence
  2. Machine learning: Trends, perspectives, and prospects
  3. Deep learning for healthcare: review, opportunities and challenges
  4. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
  5. Can AI Help Reduce Disparities in General Medical and Mental Health Care?
  6. Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
  7. Guidelines for reinforcement learning in healthcare
  8. Optimal Thresholding of Classifiers to Maximize F1 Measure
  9. Feature Selection for Unsupervised Learning (Journal of machine learning research)
  10. Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

Their papers