György J. Simon

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom György J. Simon trusts overall

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

  1. Robert Tibshirani
  2. Jerome H. Friedman
  3. Shaun Purcell
  4. Trevor J. Hastie
  5. Rakesh Agrawal
  6. Jun Yan
  7. Stu Daultrey
  8. Wolfgang Karl Härdle
  9. Eric R. Ziegel

Who trusts György J. Simon overall

  1. Cynthia Rudin
  2. Dimitris J. Bertsimas
  3. Allison Chang
  4. Ş. Ertekin

Papers from György J. Simon's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. Support vector machines
  3. Deep Computational Phenotyping
  4. Next-generation phenotyping of electronic health records
  5. Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
  6. Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery
  7. The Nature of Statistical Learning Theory
  8. Unsupervised pattern discovery in electronic health care data using probabilistic clustering models
  9. Risk Prediction with Electronic Health Records: A Deep Learning Approach
  10. Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation

Their papers