Osama Alkadi

IEEE Internet of Things Journal · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Osama Alkadi trusts overall

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

  1. Mike Schuster
  2. Sepp Hochreiter
  3. David E. Rumelhart
  4. Zhiyong Cui
  5. Ahmed Afif Monrat
  6. J. Urgen Schmidhuber
  7. Geoffrey E. Hinton
  8. Nickolaos Koroniotis
  9. Jorge Bernal Bernabé
  10. Stefano De Angelis

Papers from Osama Alkadi's perspective

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

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

Their papers