Hyunsu Lee

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hyunsu Lee trusts overall

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

  1. Aylin Caliskan
  2. Sevda Küçük
  3. Eric J. Topol
  4. Ken Masters
  5. Ketan Paranjape

Who trusts Hyunsu Lee overall

  1. C. Preiksaitis
  2. Christian Stöhr
  3. Amr M. Mohamed

Papers from Hyunsu Lee's perspective

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

  1. Semantics derived automatically from language corpora contain human-like biases
  2. Learning anatomy via mobile augmented reality: Effects on achievement and cognitive load (Anatomical Sciences Education)
  3. Introducing Artificial Intelligence Training in Medical Education (JMIR Medical Education)
  4. Medical Education Must Move From the Information Age to the Age of Artificial Intelligence (Academic medicine : journal of the Association of American Medical Colleges)
  5. Computing Machinery and Intelligence
  6. Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Can virtual reality improve anatomy education? A randomised controlled study of a computer‐generated three‐dimensional anatomical ear model (Medical Education)
  9. Can we open the black box of AI?
  10. Predicting the Future — Big Data, Machine Learning, and Clinical Medicine (New England Journal of Medicine)

Their papers