Ralph Deters

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Ralph Deters trusts overall

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

  1. Leo Breiman
  2. Anthony Dewayne Hunt
  3. Alex Krizhevsky

Who trusts Ralph Deters overall

  1. Tiago M. Fernández-Caramés
  2. Hany F. Atlam
  3. Paula Fraga-Lamas

Papers from Ralph Deters's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Bagging Predictors
  3. A Theoretical Analysis of Feature Pooling in Visual Recognition
  4. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
  5. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  6. LightGBM: A Highly Efficient Gradient Boosting Decision Tree
  7. COVID-19 Image Data Collection
  8. Coronavirus (Covid-19) Classification Using CT Images by Machine Learning Methods
  9. Bitcoin: A Peer-to-Peer Electronic Cash System
  10. COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs (arXiv.org)

Their papers