Kevin A. Schneider

Computer Vision and Pattern Recognition · 2004–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Kevin A. Schneider trusts overall

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

  1. Leo Breiman

Who trusts Kevin A. Schneider overall

  1. James D. Herbsleb

Papers from Kevin A. Schneider's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Bagging Predictors
  3. Two case studies of open source software development: Apache and Mozilla (TSEM)
  4. A Theoretical Analysis of Feature Pooling in Visual Recognition
  5. Distance, dependencies, and delay in a global collaboration (Conference on Computer Supported Cooperative Work)
  6. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  7. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
  8. Coordination in software development (ACM SIGSOFT Softw. Eng. Notes)
  9. LightGBM: A Highly Efficient Gradient Boosting Decision Tree
  10. COVID-19 Image Data Collection

Their papers