E. Serpelloni

Journal of Geodesy · 2016

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

Whom E. Serpelloni trusts overall

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

  1. David John Cameron MacKay
  2. Nati Srebro

Papers from E. Serpelloni's perspective

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

  1. BAYESIAN NON-LINEAR MODELING FOR THE PREDICTION COMPETITION
  2. Weighted Low-Rank Approximations
  3. Explaining Variational Approximations
  4. Spatiotemporal filtering using principal component analysis and Karhunen-Loeve expansion approaches for regional GPS network analysis
  5. A unified continuum representation of post-seismic relaxation mechanisms: semi-analytic models of afterslip, poroelastic rebound and viscoelastic flow
  6. The Nature of Statistical Learning Theory
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Learning the parts of objects by non-negative matrix factorization

Their papers