Dexter Canoy

Artificial Intelligence · 2019

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 Dexter Canoy trusts

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

  1. Eric J. Topol (in Artificial Intelligence)
  2. Tom Fawcett (in Artificial Intelligence)

Papers from Dexter Canoy's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Visualizing Data using t-SNE
  5. Practical Bayesian Optimization of Machine Learning Algorithms
  6. Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
  7. Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
  8. An introduction to ROC analysis
  9. High-performance medicine: the convergence of human and artificial intelligence
  10. A guide to deep learning in healthcare

Their papers