Aida Ali

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aida Ali trusts overall

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

  1. Nitesh V. Chawla
  2. Nathalie Japkowicz
  3. Salvador Garcia
  4. David D. Lewis
  5. Zhi-Hua Zhou
  6. Lei Yu
  7. Shuo Wang
  8. Michael Wasikowski
  9. Yanmin Sun
  10. Gary M. Weiss

Who trusts Aida Ali overall

  1. Joffrey L. Leevy
  2. Taghi M. Khoshgoftaar

Papers from Aida Ali's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. SMOTE: Synthetic Minority Over-sampling Technique
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
  7. The class imbalance problem: A systematic study
  8. Mining with rarity: a unifying framework
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers