Jamie E. Padgett

Civil and Structural Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Civil and Structural Engineering — 19 citations into it
• Artificial Intelligence — 8 citations into it
• Statistics and Probability — 7 citations into it
• Geophysics — 6 citations into it

Whom Jamie E. Padgett trusts overall

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

1. Robert Tibshirani
2. Radford M. Neal
3. Hojjat Adeli
4. Xiaomo Jiang
5. Pinqi Xia
6. Hui Zou
7. Maizar Raissi
8. Kevin P. Murphy
9. Géraud Blatman
10. A. Goh

Papers from Jamie E. Padgett's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Deep Learning
3. Pattern Recognition and Machine Learning
4. Addendum: Regularization and variable selection via the elastic net
5. Machine learning - a probabilistic perspective
6. Neural Networks in Civil Engineering: 1989–2000
7. Principal Component Analysis
8. NGA Project Strong-Motion Database
9. Smart structures: Part I—Active and semi-active control
10. AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation

Their papers

• The promise of implementing machine learning in earthquake engineering: A state-of-the-art review (2020) — 443 citations