M. Shaban

Artificial Intelligence · 2017–2024

A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom M. Shaban trusts overall

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

  1. Kaiming He
  2. X. Zhang
  3. Zhou Wang
  4. Harsh Rai
  5. Phillip Isola
  6. Lin Zhang
  7. Shaoqing Ren
  8. Alex Krizhevsky
  9. Geoffrey E. Hinton
  10. Ross B. Girshick

Who trusts M. Shaban overall

  1. Hideyuki Shimizu
  2. Muhammad Farooq Khan Niazi
  3. Massimo Salvi
  4. Karin Stacke
  5. Salome Kazeminia
  6. K. Nakayama
  7. Sergey I. Nikolenko
  8. Anil V. Parwani
  9. Usha R. Acharya
  10. Gabriel Eilertsen

Papers from M. Shaban's perspective

Ordered by how strongly the researchers M. Shaban 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. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers