Francesco Granata

Environmental Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Granata trusts overall

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

  1. Leo Breiman
  2. Vladimir Naumovich Vapni
  3. J. Ross Quinlan
  4. Dimitri P. Solomatine

Papers from Francesco Granata's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Statistical learning theory
  3. Bagging Predictors
  4. Machine learning approaches for estimation of prediction interval for the model output (Neural Networks)
  5. M5 Model Trees and Neural Networks: Application to Flood Forecasting in the Upper Reach of the Huai River in China
  6. Algorithms for Clustering Data
  7. Shape Quantization and Recognition with Randomized Trees
  8. Boosting the margin: A new explanation for the effectiveness of voting methods
  9. A decision-theoretic generalization of on-line learning and an application to boosting
  10. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants

Their papers