Andy Liaw
Artificial Intelligence · 2003–2017
A researcher in the Science corpus: 8 papers; trusts 7 researchers and is trusted by 291 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Optimization & Training — 11 citations into it
- Statistics and Probability — 11 citations into it
- Evaluation & Benchmarks — 8 citations into it; #86 of 3,147 by trust here, #226 by citations
Whom Andy Liaw trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Jerome H. Friedman
- Robert E. Schapire
- Trevor J. Hastie
- Robert Gilmore Pontius Jr.
- Yoav Freund
- Marina Skurichina
Who trusts Andy Liaw overall
- Stefan Wager
- Houtao Deng
- Miron Bartosz Kursa
- Velibor V. Misic
- Philipp Probst
- Jack Dunn
- Przemyslaw Biecek
- Gilles Louppe
- Andrea Dal Pozzolo
- Marvin N. Wright
Papers from Andy Liaw's perspective
Ordered by how strongly the researchers Andy Liaw trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Random Forests
- Modern Applied Statistics With S
- ImageNet classification with deep convolutional neural networks
- Comparing five modelling techniques for predicting forest characteristics
- Analyzing Bagging
- The Nature of Statistical Learning Theory
- QUANTIFICATION ERROR VERSUS LOCATION ERROR IN COMPARISON OF CATEGORICAL MAPS
- Gradient-based learning applied to document recognition
- Multivariate adaptive regression splines
Their papers
- Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships (2015) — 1,045 citations
- Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships (2017) — 202 citations
- Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling (2003) — 3,318 citations
- Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships (2016) — 468 citations
- Improved Statistical Methods for Hit Selection in High-Throughput Screening (2003) — 351 citations
- gplots: Various R Programming Tools for Plotting Data (2015) — 3,145 citations
- Classification and Regression by randomForest (2007) — 19,523 citations
- Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction (2006) — 2,256 citations