Marvin N. Wright

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 49 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it; #28,779 of 35,345 by trust here, #25,040 by citations
• Environmental Engineering — 27 citations into it
• Statistics and Probability — 22 citations into it; #1,719 of 12,932 by trust here, #2,858 by citations
• Computer Vision and Pattern Recognition — 16 citations into it
• Molecular Biology — 15 citations into it; #1,067 of 17,773 by trust here, #7,496 by citations
• Evaluation & Benchmarks — 12 citations into it
• Ecology — 9 citations into it
• Economics and Econometrics — 8 citations into it

Whom Marvin N. Wright trusts overall

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

1. Trevor J. Hastie
2. Andy Liaw
3. Torsten Hothorn
4. Leo Breiman
5. Dirk Eddelbuettel
6. Matthew C. Wiener
7. Anna Bosch
8. Kristin K. Nicodemus
9. Tomislav Hengl
10. Bernd Bischl

Who trusts Marvin N. Wright overall

1. Philipp Probst
2. Velibor V. Misic
3. Clément Bénard
4. Iv'an D'iaz
5. R. van de Schoot
6. Tomislav Hengl
7. Jonathan Sanderman
8. Susan Athey
9. Anne-Laure Boulesteix
10. Edward H. Kennedy

Papers from Marvin N. Wright's perspective

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

1. Random Forests
2. ImageNet classification with deep convolutional neural networks
3. Bagging Predictors
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R (2015) — 3,542 citations
• Hyperparameters and tuning strategies for random forest (2018) — 2,058 citations
• Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (2018) — 919 citations
• The revival of the Gini importance? (2018) — 677 citations
• SoilGrids250m: Global gridded soil information based on machine learning (2017) — 3,747 citations