Masoud Karbasi

Environmental Engineering · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masoud Karbasi trusts overall

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

  1. Stéphane Mallat
  2. Ozgur Kisi
  3. Christopher K. I. Williams
  4. Vahid Nourani
  5. David Barber
  6. Ingrid Daubechies
  7. A. H. Baghanam
  8. Jan Adamowski
  9. Vladimir Cherkassky
  10. Michael Negnevitsky

Papers from Masoud Karbasi's perspective

Ordered by how strongly the researchers Masoud Karbasi 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. Gradient-based learning applied to document recognition
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. A wavelet tour of signal processing
  8. Long Short-Term Memory
  9. Histograms of oriented gradients for human detection
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers