Seungwoo Lee

Artificial Intelligence · with Lee · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Seungwoo Lee trusts overall

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

  1. Diederik P. Kingma
  2. Jimmy Ba

Who trusts Seungwoo Lee overall

  1. Sameer Quazi

Papers from Seungwoo Lee's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
  4. Validation of a modified Early Warning Score in medical admissions.
  5. The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death.
  6. The Supervised Learning No-Free-Lunch Theorems
  7. Interpretable Explanations of Black Boxes by Meaningful Perturbation
  8. ViEWS--Towards a national early warning score for detecting adult inpatient deterioration.
  9. Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards (Critical Care Medicine)
  10. European Resuscitation Council and European Society of Intensive Care Medicine Guidelines for Post-resuscitation Care 2015: Section 5 of the European Resuscitation Council Guidelines for… (Resuscitation)

Their papers