Natalya Shakhovska

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 17 citations into it
• Artificial Intelligence — 14 citations into it
• Computational Theory and Mathematics — 11 citations into it
• Control and Systems Engineering — 8 citations into it
• Mechanics of Materials — 8 citations into it
• Numerical Analysis — 6 citations into it
• Management Science and Operations Research — 5 citations into it
• Modeling and Simulation — 5 citations into it

Whom Natalya Shakhovska trusts overall

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

1. Mehdi Dehghan
2. Peter Craven
3. Grace Wahba
4. Ali Shokri
5. Mircea-Traian Sofonea
6. Eric R. Ziegel
7. Baoding Liu
8. Robert Tibshirani
9. Mehrdad Lakestani
10. Jerome H. Friedman

Papers from Natalya Shakhovska's perspective

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

1. Smoothing noisy data with spline functions
2. A strategy for human factors/ergonomics: developing the discipline and profession (Ergonomics)
3. Numerical solution of the nonlinear Klein-Gordon equation using radial basis functions
4. SEMIORTHOGONAL SPLINE WAVELETS APPROXIMATION FOR FREDHOLM INTEGRO-DIFFERENTIAL EQUATIONS
5. Regression Shrinkage and Selection via the Lasso
6. I and J
7. ImageNet classification with deep convolutional neural networks
8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
9. High-dimensional graphs and variable selection with the Lasso
10. The Elements of Statistical Learning

Their papers

• Advances in Intelligent Systems and Computing (2016) — 348 citations