Farzaneh Sajedi Hosseini

Artificial Intelligence · 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

• Artificial Intelligence — 10 citations into it
• Statistics and Probability — 6 citations into it

Whom Farzaneh Sajedi Hosseini trusts overall

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

1. Peter Buhlmann
2. Eric R. Ziegel
3. Richard J. Verrall
4. Yoav Freund
5. Andrew Gelman
6. Youngjo Lee
7. Cha Zhang
8. Robert E. Schapire
9. Bin Yu
10. John A. Nelder

Papers from Farzaneh Sajedi Hosseini's perspective

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

1. Generalized Linear Models
2. Random Forests
3. A decision-theoretic generalization of on-line learning and an application to boosting
4. Optimization by Simulated Annealing
5. Boosting for high-dimensional linear models
6. Double hierarchical generalized linear models
7. Data Analysis Using Regression and Multilevel/Hierarchical Models: Understanding and summarizing the fitted models
8. Simulated Annealing
9. Boosting With the L2 Loss
10. Simulated annealing and Boltzmann machines

Their papers

• Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method. (2019) — 304 citations