Jennifer L. Spielman
Artificial Intelligence · 2008–2012
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
- Physiology — 7 citations into it; #1,190 of 2,276 by trust here, #1,497 by citations
- Statistics and Probability — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Jennifer L. Spielman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jennifer L. Spielman overall
Papers from Jennifer L. Spielman's perspective
Ordered by how strongly the researchers Jennifer L. Spielman trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Random Forests
- An Introduction to Variable and Feature Selection
- LIBSVM: A library for support vector machines
- A Practical Guide to Support Vector Classication
- Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease (IEEE Transactions on Biomedical Engineering)
- A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification (BMC Bioinformatics)
- The elements of statistical learning: data mining, inference and prediction
- Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
- Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests
Their papers
- Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease (2012) — 684 citations
- Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease (2008) — 1,134 citations