Iqbal H. Sarker

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 6 papers; trusts 388 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Iqbal H. Sarker trusts overall

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

  1. Rakesh Agrawal
  2. J. Ross Quinlan
  3. Geoffrey E. Hinton
  4. Teuvo Kohonen
  5. Kaiming He
  6. Li Deng
  7. Jiawei Han
  8. David William Aha
  9. Steven L. Salzberg
  10. Mohammed J. Zaki

Who trusts Iqbal H. Sarker overall

  1. Mohammad Mustafa Taye
  2. Damilola Oladimeji
  3. Khushi Gupta
  4. Vinícius G. Costa
  5. Mohamed Reyad
  6. Essam H. Houssein
  7. Farhad Shiri
  8. S. Almutairi
  9. Pranjal Kumar
  10. Malik Sallam

Papers from Iqbal H. Sarker's perspective

Ordered by how strongly the researchers Iqbal H. Sarker 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers