Giorgio Corani

Statistics and Probability · 2005–2016

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 16 citations into it
• Artificial Intelligence — 6 citations into it; #18,309 of 35,345 by trust here, #20,836 by citations
• Environmental Engineering — 5 citations into it; #5,115 of 5,479 by trust here, #4,892 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Giorgio Corani trusts overall

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

1. Russell Reed
2. John K. Kruschke
3. Babak Hassibi
4. Jaka Demsar
5. James O. Berger
6. David G. Stork
7. Radford M. Neal
8. Andrew Gelman
9. Salvador Garcia
10. Kevin P. Murphy

Who trusts Giorgio Corani overall

1. Hassan Ismail Fawaz
2. Fotios Petropoulos
3. Angus Dempster
4. Matthew Middlehurst
5. Octavio Loyola-González
6. Vítor Cerqueira
7. Alessio Benavoli
8. Alejandro Pasos Ruiz
9. Ivan Habernal
10. Anthony J. Bagnall

Papers from Giorgio Corani's perspective

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

1. Pattern Recognition and Machine Learning
2. The ASA Statement on p-Values: Context, Process, and Purpose
3. Statistical Decision Theory and Bayesian Analysis, Second Edition
4. Bayesian estimation supersedes the t test. (Journal of experimental psychology. General)
5. Neural Networks for Pattern Recognition
6. Gradient-based learning applied to document recognition
7. The Intrinsic Bayes Factor for Model Selection and Prediction
8. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Machine learning - a probabilistic perspective

Their papers

• Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis (2016) — 496 citations
• Should We Really Use Post-Hoc Tests Based on Mean-Ranks? (2015) — 470 citations
• Air quality prediction in Milan: feed-forward neural networks, pruned neural networks and lazy learning (2005) — 250 citations