Anna Veronika Dorogush

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Anna Veronika Dorogush trusts overall

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

  1. Jerome H. Friedman
  2. R. Caruana
  3. Tianqi Chen
  4. Yanru Zhang
  5. B. Roe
  6. Alexandru Niculescu-Mizil
  7. Carlos Guestrin
  8. Ali Haghani
  9. Hai-Jun Yang

Who trusts Anna Veronika Dorogush overall

  1. Ravid Shwartz-Ziv
  2. Anastasios Nikolas Angelopoulos
  3. Rajiv Punmiya
  4. Azal Ahmad Khan
  5. Nick Erickson
  6. Amitai Armon
  7. Binny Mathew
  8. Stephen Bates
  9. Sangho Choe
  10. Sercan Ö. Arik

Papers from Anna Veronika Dorogush's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. ImageNet classification with deep convolutional neural networks
  3. Stochastic gradient boosting
  4. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. XGBoost: A Scalable Tree Boosting System
  9. Long Short-Term Memory
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers