Philippe Gervais

Front. Neuroinform. · 2014

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

Papers from Philippe Gervais's perspective

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

1. Independent Component Analysis
2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
3. Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
4. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
5. The WEKA data mining software: an update
6. Machine learning classifiers and fMRI: a tutorial overview
7. PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data
8. Analysis of Functional Magnetic Resonance Imaging in Python
9. Advances in functional and structural MR image analysis and implementation as FSL.
10. Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python (Front. Neuroinform.)

Their papers

• Machine learning for neuroimaging with scikit-learn (2014) — 2,159 citations