Barnali Dixon

Artificial Intelligence · 2008–2015

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Barnali Dixon trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Nello Cristianini
  3. Chengquan Huang
  4. David John Cameron MacKay
  5. Chengquan Huang
  6. John R. Townshend
  7. Leo Breiman
  8. John Shawe-Taylor
  9. Richard G. Brereton
  10. MohammadSajjad Khan

Who trusts Barnali Dixon overall

  1. Ravinesh C. Deo
  2. Binh Thai Pham
  3. Hamid Reza Pourghasemi
  4. Swapan Talukdar
  5. Pijush Samui

Papers from Barnali Dixon's perspective

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

  1. Random Forests
  2. The Nature of Statistical Learning Theory
  3. Bagging Predictors
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. A training algorithm for optimal margin classifiers
  7. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Their papers