Nabil Alshurafa

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nabil Alshurafa trusts

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

  1. Jost Tobias Springenberg (in Computer Vision and Pattern Recognition)
  2. Augustus Odena (in Computer Vision and Pattern Recognition)

Papers from Nabil Alshurafa's perspective

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

  1. Long Short-Term Memory
  2. Learning Deep Architectures for AI
  3. Reinforcement Learning: An Introduction
  4. Improved Training of Wasserstein GANs
  5. Generative Adversarial Networks
  6. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
  7. Generative Adversarial Text to Image Synthesis
  8. A Practical Guide to Training Restricted Boltzmann Machines
  9. Approximation by superpositions of a sigmoidal function
  10. Activity recognition using cell phone accelerometers (SKDD)

Their papers