Pezhman Kazemi

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Pezhman Kazemi trusts overall

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

1. Yongli Zhang

Who trusts Pezhman Kazemi overall

1. Houtao Deng

Papers from Pezhman Kazemi's perspective

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

1. Cross-validation for selecting a model selection procedure
2. Statistical Models: Theory and Practice: References
3. Bagging Predictors
4. Adaptive Model Selection
5. Regression Shrinkage and Selection via the Lasso
6. Variable Selection in Predictive Regressions
7. ACCUMULATED PREDICTION ERRORS, INFORMATION CRITERIA AND OPTIMAL FORECASTING FOR AUTOREGRESSIVE TIME SERIES
8. Calibration and empirical Bayes variable selection
9. Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
10. Adaptive Regression by Mixing

Their papers

• A comprehensive data mining approach to estimate the rate of penetration: Application of neural network, rule based models and feature ranking (2017) — 67 citations
• Empirical search for factors affecting mean particle size of PLGA microspheres containing macromolecular drugs (2016) — 20 citations
• Fatty Acid Methyl Ester (FAME) composition used for estimation of biodiesel cetane number employing random forest and artificial neural networks: A new approach (2016)