Hussein A. Abbass

Artificial Intelligence · Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546) · 2001–2017

A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom Hussein A. Abbass trusts overall

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

  1. Xin Yao
  2. Paul J. Werbos
  3. Joshua D. Knowles
  4. Scott E. Fahlman
  5. William H. Wolberg
  6. Rudy Setiono
  7. David E. Rumelhart
  8. Yann LeCun
  9. David E. Goldberg
  10. David Wolfe Corne

Who trusts Hussein A. Abbass overall

  1. Swagatam Das
  2. Tea Robic
  3. Ferrante Neri
  4. Ponnuthurai Nagaratnam Suganthan
  5. Jingqiao Zhang
  6. Junhong Liu
  7. Jouni Lampinen
  8. Saku Kukkonen
  9. Giorgos Karafotias
  10. Varun Ojha

Papers from Hussein A. Abbass's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Et al
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers