Imran Khan Mohd Jais

Artificial Intelligence · 2019

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

Subfields

Whom Imran Khan Mohd Jais trusts overall

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

  1. Hiba Chougrad
  2. Diederik P. Kingma
  3. Hamid Zouaki
  4. Itay Safran
  5. Jimmy Ba

Papers from Imran Khan Mohd Jais's perspective

Ordered by how strongly the researchers Imran Khan Mohd Jais 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. On the Quality of the Initial Basin in Overspecified Neural Networks
  5. ImageNet classification with deep convolutional neural networks
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Classification of breast cancer histology images using Convolutional Neural Networks (PLoS ONE)
  8. Wide & Deep Learning for Recommender Systems
  9. Gradient-based learning applied to document recognition
  10. A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images (IEEE Transactions on Medical Imaging)

Their papers