Debbie Rankin

Neurocomputing · 2022

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 Debbie Rankin trusts

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

  1. Megan H. Bair-Merritt (in General Health Professions)

Papers from Debbie Rankin's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
  3. Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing
  4. Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
  5. Privacy Preserving Synthetic Data Release Using Deep Learning
  6. Generation of Synthetic Electronic Medical Record Text
  7. A General Survey of Privacy-Preserving Data Mining Models and Algorithms
  8. Five Steps to Conducting a Systematic Review (Journal of the Royal Society of Medicine)
  9. GAN-based synthetic brain MR image generation (IEEE International Symposium on Biomedical Imaging)
  10. Applications of Generative Adversarial Networks (GANs): An Updated Review (Archives of Computational Methods in Engineering)

Their papers