Aik Choon Tan

Molecular Biology · 2003–2015

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Aik Choon Tan trusts overall

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

  1. Thomas G. Dietterich
  2. Leo Breiman
  3. Trevor J. Hastie
  4. Yoav Freund
  5. J. Ross Quinlan
  6. Robert Tibshirani
  7. Eric Bauer
  8. Alvis Brazma
  9. Robert E. Schapire
  10. Yali Amit

Who trusts Aik Choon Tan overall

  1. Austin H. Chen
  2. Daoqiang Zhang
  3. Lipo Wang
  4. Zone-Wei Huang
  5. Marinka Zitnik
  6. Antonio Scialdone
  7. Yaping Wang
  8. Feng Chu
  9. Nafiseh Ghaffar Nia

Papers from Aik Choon Tan's perspective

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

  1. Bagging Predictors
  2. ImageNet classification with deep convolutional neural networks
  3. The Nature of Statistical Learning Theory
  4. A decision-theoretic generalization of on-line learning and an application to boosting
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants

Their papers