Baptiste Gregorutti
Molecular Biology · 2013–2014
A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 14 citations into it; #5,721 of 17,773 by trust here, #12,465 by citations
- Artificial Intelligence — 12 citations into it
- Statistics and Probability — 12 citations into it; #5,724 of 12,932 by trust here, #8,740 by citations
- Computer Vision and Pattern Recognition — 6 citations into it; #10,365 of 21,575 by trust here, #14,151 by citations
- Evaluation & Benchmarks — 6 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Baptiste Gregorutti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Robert Tibshirani
- Isabelle M Guyon
- David L. Donoho
- Marco Sandri
- Trevor J. Hastie
- Aixia Guo
- Michael R. Chernick
- Gérard Biau
- Ramón Díaz-Uriarte
Who trusts Baptiste Gregorutti overall
- Aaron Fisher
- Cynthia Rudin
- Francesca Dominici
- Giles Hooker
- Tomasz Górecki
- Robin Genuer
- Zhongzhan Huang
- D. Roman
- Lucas K. Mentch
- Łukasz Smaga
Papers from Baptiste Gregorutti's perspective
Ordered by how strongly the researchers Baptiste Gregorutti trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Bagging Predictors
- Random Forests
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- The Nature of Statistical Learning Theory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Grouped variable importance with random forests and application to multiple functional data analysis (2014) — 140 citations
- Correlation and variable importance in random forests (2013) — 996 citations