Quamar Niyaz

Computer Networks and Communications · 2016

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Quamar Niyaz trusts overall

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

  1. Mahbod Tavallaee
  2. Min-Joo Kang
  3. Rajat Raina
  4. Syed Akbar Mehdi
  5. Rodrigo Braga
  6. Ahmad Y. Javaid
  7. J. Urgen Schmidhuber
  8. Ebrahim Bagheri
  9. Honglak Lee
  10. Je-Won Kang

Who trusts Quamar Niyaz overall

  1. Nasrin Sultana
  2. R. Vinayakumar
  3. Yinhao Xiao
  4. Jun-feng Xie
  5. Naveen K. Chilamkurti
  6. Muhammad Usama
  7. Qian Mao
  8. Wei Peng
  9. Wei Wang
  10. Daniel S. Berman

Papers from Quamar Niyaz's perspective

Ordered by how strongly the researchers Quamar Niyaz 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. An Analysis of Single-Layer Networks in Unsupervised Feature Learning
  7. Learning Multiple Layers of Features from Tiny Images
  8. Self-taught learning: transfer learning from unlabeled data
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers