Narjes Nabipour

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Statistics and Probability — 7 citations into it

Whom Narjes Nabipour trusts overall

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

1. Peter Buhlmann

Papers from Narjes Nabipour's perspective

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

1. Random Forests
2. Generalized Linear Models
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. Simulated Annealing
8. Data Analysis Using Regression and Multilevel/Hierarchical Models: Understanding and summarizing the fitted models
9. Boosting With the L2 Loss
10. Learning With Continuous Classes

Their papers

• Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model (2021) — 316 citations
• Classification-Based Regression Models for Prediction of the Mechanical Properties of Roller-Compacted Concrete Pavement (2020) — 54 citations
• Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method. (2019) — 304 citations