Issam Falih

Statistical and Nonlinear Physics · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Issam Falih trusts overall

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

  1. Mark Newman
  2. Jianbo Shi
  3. Alexander Strehl
  4. Vincent D. Blondel
  5. Zhiqiang Xu
  6. Michelle Girvan
  7. Jitendra Malik
  8. Joydeep Ghosh
  9. Jean-Loup Guillaume
  10. Aaron Clauset

Papers from Issam Falih's perspective

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

  1. Normalized cuts and image segmentation
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  6. Going deeper with convolutions
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers