Jocelyn Barker

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jocelyn Barker trusts overall

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

  1. Scott Doyle
  2. Hui Zou
  3. Trevor J. Hastie
  4. David Arthur
  5. Jerome H. Friedman
  6. Robert Martin Haralick
  7. Anant Madabhushi
  8. Yan Xu
  9. Metin Nafi Gurcan
  10. M. Feldman

Who trusts Jocelyn Barker overall

  1. Yan Xu

Papers from Jocelyn Barker's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Histopathological Image Analysis: A Review (IEEE Reviews in Biomedical Engineering)
  3. Addendum: Regularization and variable selection via the elastic net
  4. Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology (IEEE International Symposium on Biomedical Imaging)
  5. Regularization Paths for Generalized Linear Models via Coordinate Descent
  6. Quantification of histochemical staining by color deconvolution. (Analytical and quantitative cytology and histology)
  7. Weakly supervised histopathology cancer image segmentation and classification (Medical Image Anal.)
  8. Multifeature Prostate Cancer Diagnosis and Gleason Grading of Histological Images (IEEE Transactions on Medical Imaging)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers