Luca Scrucca

Artificial Intelligence · 2007–2016

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Luca Scrucca trusts overall

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

  1. Chris Fraley
  2. Adrian E. Raftery
  3. Hirotogu Akaike
  4. Friedrich Leisch
  5. Thomas Bäck
  6. P. Deb
  7. Hirotugu Akaike
  8. Bettina Grün
  9. Gábor Csárdi
  10. Valentin Todorov

Who trusts Luca Scrucca overall

  1. W. Peterman
  2. R. Schwamborn
  3. Jörg Stork
  4. Alec Solway
  5. Y. Kanda
  6. T. Mildenberger
  7. Florian Brühlmann
  8. Martin Zaefferer
  9. Carlos Diuk
  10. Hoa T M Tran

Papers from Luca Scrucca's perspective

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

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  3. Model-Based Clustering, Discriminant Analysis, and Density Estimation
  4. Breast Cancer Diagnosis and Prognosis Via Linear Programming
  5. Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering (Journal of Classification)
  6. Model-based Methods of Classification: Using the mclust Software in Chemometrics
  7. FlexMix: A general framework for finite mixture models and latent class regression in R
  8. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  9. Bootstrap Methods: Another Look at the Jackknife
  10. FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters

Their papers