Bryan D. Nousain

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bryan D. Nousain trusts

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

  1. Jimmy Ba (in Optimization & Training)
  2. Diederik P. Kingma (in Optimization & Training)
  3. Xavier Glorot (in Optimization & Training)
  4. Yoshua Bengio (in Optimization & Training)
  5. Nur Serinken (in Aerospace Engineering)
  6. O. Ureten (in Aerospace Engineering)

Papers from Bryan D. Nousain's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Understanding the difficulty of training deep feedforward neural networks
  3. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
  4. Convolutional Radio Modulation Recognition Networks (International Conference on Engineering Applications of Neural Networks)
  5. Defense against Primary User Emulation Attacks in Cognitive Radio Networks (IEEE Journal on Selected Areas in Communications)
  6. Routing Metrics of Cognitive Radio Networks: A Survey (IEEE Communications Surveys and Tutorials)
  7. Wireless security through RF fingerprinting (Canadian journal of electrical and computer engineering)
  8. Wireless interference identification with convolutional neural networks
  9. ImageNet classification with deep convolutional neural networks
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers