Ayesha Shafique

Media Technology · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ayesha Shafique trusts overall

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

  1. Francesca Bovolo
  2. Lorenzo Bruzzone
  3. Maoguo Gong
  4. Qi Wang
  5. Rodrigo Caye Daudt
  6. Sudipan Saha
  7. Sue Han Lee
  8. Dengsheng Lu
  9. Jia Liu
  10. Dimitrios Marmanis

Papers from Ayesha Shafique's perspective

Ordered by how strongly the researchers Ayesha Shafique 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering (IEEE Geoscience and Remote Sensing Letters)
  10. Automatic analysis of the difference image for unsupervised change detection (IEEE Transactions on Geoscience and Remote Sensing)

Their papers