Jafar Tanha

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jafar Tanha trusts overall

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

  1. Robert E. Schapire
  2. Leo Breiman
  3. Jaka Demsar
  4. Yoav Freund
  5. Tianqi Chen
  6. Jin Huang
  7. Davide Chicco
  8. Yanmin Sun
  9. Jerome H. Friedman
  10. Mikel Galar

Who trusts Jafar Tanha overall

  1. Ibomoiye Domor Mienye
  2. Yanxia Sun

Papers from Jafar Tanha's perspective

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

  1. A decision-theoretic generalization of on-line learning and an application to boosting
  2. Bagging Predictors
  3. Greedy function approximation: A gradient boosting machine.
  4. Statistical Comparisons of Classifiers over Multiple Data Sets
  5. Gradient-based learning applied to document recognition
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. XGBoost: A Scalable Tree Boosting System
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers