M. Jamal Deen

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Jamal Deen trusts overall

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

  1. Dapeng Tao
  2. Mohammad Mehedi Hassan
  3. Davide Anguita
  4. Wanmin Wu
  5. M. Burns
  6. Agnes Grünerbl

Papers from M. Jamal Deen's perspective

Ordered by how strongly the researchers M. Jamal Deen 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. Harnessing Context Sensing to Develop a Mobile Intervention for Depression (Journal of Medical Internet Research)
  4. Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine
  5. Classification Accuracies of Physical Activities Using Smartphone Motion Sensors (Journal of Medical Internet Research)
  6. StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones (Ubiquitous Computing)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers