Matteo Corbetta

Automotive Engineering · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Matteo Corbetta trusts overall

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

  1. Bhaskar Saha
  2. Arnaud Doucet
  3. Mohammad Charkhgard
  4. Kai Goebel
  5. Francesco Cadini
  6. M. Sanjeev Arulampalam
  7. J. F. G. D. Freitas
  8. Languang Lu

Who trusts Matteo Corbetta overall

  1. Kailong Liu

Papers from Matteo Corbetta's perspective

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

  1. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (IEEE Transactions on Signal Processing)
  2. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  3. Sequential Monte Carlo Methods to Train Neural Network Models
  4. Particle filter for state of charge and state of health estimation for lithium–iron phosphate batteries
  5. On sequential Monte Carlo sampling methods for Bayesian filtering
  6. Neural Networks for Pattern Recognition
  7. Monte Carlo-based filtering for fatigue crack growth estimation
  8. Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo me
  9. A review on the key issues for lithium-ion battery management in electric vehicles
  10. Netlab: Algorithms for Pattern Recognition

Their papers