Hafsa Habehh

Artificial Intelligence · 2021

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

Subfields

Whom Hafsa Habehh trusts overall

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

  1. Miroslav Kubat

Papers from Hafsa Habehh's perspective

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

  1. An Introduction to Machine Learning
  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 classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers