Hussein Issa

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hussein Issa trusts overall

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

  1. Xue-wen Chen
  2. Deniz Appelbaum
  3. Maryam Mousaarab Najafabadi
  4. Xiaotong Lin
  5. Alexander Kogan
  6. M. Vasarhelyi
  7. Junbo Jake Zhao
  8. Flavio Villanustre

Who trusts Hussein Issa overall

  1. Ivy Munoko
  2. Helen L. Brown-Liburd
  3. M. Vasarhelyi
  4. Riadh Manita

Papers from Hussein Issa's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Mastering the game of Go with deep neural networks and tree search
  3. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Character-level Convolutional Networks for Text Classification
  6. A Fast Learning Algorithm for Deep Belief Nets
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Deep learning applications and challenges in big data analytics
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Extracting and composing robust features with denoising autoencoders

Their papers