Wim Naudé

Infectious Diseases · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wim Naudé trusts overall

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

  1. Dirk Brockmann
  2. Linda Wang
  3. Joseph Aylett-Bullock
  4. Alexander Wong
  5. Alexandra Sasha Luccioni

Papers from Wim Naudé's perspective

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

  1. COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images (arXiv.org)
  2. Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity
  3. How artificial intelligence is changing drug discovery (Nature)
  4. Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China (Science)
  5. Mapping the Landscape of Artificial Intelligence Applications against COVID-19 (Journal of Artificial Intelligence Research)
  6. Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model (Computational and Structural Biotechnology Journal)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers