Francisco Cedron

Computational and Structural Biotechnology Journal · 2021

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

Whom Francisco Cedron trusts

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

  1. C. Burges (in Statistical Learning Theory)

Papers from Francisco Cedron's perspective

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

  1. The Graph Neural Network Model
  2. Estimation of Dependences Based on Empirical Data
  3. Spectral Networks and Locally Connected Networks on Graphs
  4. Random Forests
  5. Convolutional Networks on Graphs for Learning Molecular Fingerprints
  6. Neural Network for Graphs: A Contextual Constructive Approach
  7. A Tutorial on Support Vector Machines for Pattern Recognition
  8. Kernel Methods in Computational Biology
  9. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
  10. Geodesic Convolutional Neural Networks on Riemannian Manifolds

Their papers