Michele Coscia

Statistical and Nonlinear Physics · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Michele Coscia trusts overall

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

  1. Mark Newman
  2. Santo Fortunato
  3. Andrea Lancichinetti
  4. Duncan J. Watts
  5. Aaron Clauset
  6. Peter D. Grünwald
  7. Jorma Rissanen
  8. Michelle Girvan
  9. Eric R. Ziegel
  10. Jon M. Kleinberg

Who trusts Michele Coscia overall

  1. Hocine Cherifi
  2. Fragkiskos D. Malliaros
  3. Punam Bedi
  4. Jaewon Yang
  5. Cécile Bothorel
  6. Ninareh Mehrabi
  7. Michalis Vazirgiannis
  8. Chhavi Sharma
  9. Julian McAuley
  10. Giulio Rossetti

Papers from Michele Coscia's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers