Scott A. Dellana

Computers & Operations Research · 2005

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Scott A. Dellana trusts overall

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

  1. Leo Breiman
  2. Thomas G. Dietterich
  3. Robert E. Schapire
  4. David West
  5. Holger Schwenk
  6. Yoshua Bengio

Who trusts Scott A. Dellana overall

  1. Johan L. Perols
  2. Yuan Zhang
  3. Michal Tkác
  4. Jie Sun
  5. Antanas Verikas

Papers from Scott A. Dellana's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Bagging Predictors
  3. The Strength of Weak Learnability
  4. Gradient-based learning applied to document recognition
  5. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers