Despoina Makariou

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Statistics and Probability — 8 citations into it
• Molecular Biology — 7 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Despoina Makariou trusts overall

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

1. Leo Breiman
2. Hemant Ishwaran
3. Thomas G. Dietterich
4. Niko Speybroeck
5. Alexander Braun
6. Trevor J. Hastie
7. Chinghway Lim
8. X. Chen
9. Eric R. Ziegel
10. Max Kuhn

Papers from Despoina Makariou's perspective

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

1. Bagging Predictors
2. Random Forests
3. The Elements of Statistical Learning
4. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
5. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
6. Classification and regression trees
7. Bootstrap Methods: Another Look at the Jackknife
8. Regression Shrinkage and Selection via the Lasso
9. The Nature of Statistical Learning Theory
10. High-Dimensional Variable Selection for Survival Data

Their papers

• A random forest based approach for predicting spreads in the primary catastrophe bond market (2020) — 46 citations