Pierre Gestraud

Molecular Biology · 2011

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 12 citations into it; #5,362 of 17,773 by trust here, #12,742 by citations

Whom Pierre Gestraud trusts overall

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

1. Isabelle M Guyon
2. Robert Tibshirani
3. Yoav Benjamini
4. Julien Mairal
5. Thomas Abeel
6. Rafael A. Irizarry

Who trusts Pierre Gestraud overall

1. Aytuğ Onan
2. Girish Chandrashekar
3. Stefan Naulaerts
4. Baptiste Gregorutti
5. Chintan Parmar

Papers from Pierre Gestraud's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Controlling the false discovery rate: a practical and powerful approach to multiple testing
5. An Introduction to Variable and Feature Selection
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gene Selection for Cancer Classification using Support Vector Machines
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• The Influence of Feature Selection Methods on Accuracy, Stability and Interpretability of Molecular Signatures (2011) — 400 citations