Chet Langin

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 73 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Information Systems — 7 citations into it; #159 of 8,771 by trust here, #1,142 by citations

Whom Chet Langin trusts overall

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

1. Radford M. Neal
2. Salvatore Ruggieri

Who trusts Chet Langin overall

1. Riccardo Guidotti
2. Yong Jae Lee
3. Minseok Song
4. Muhammad Usman Ghani Khan
5. Maximilian Nickel
6. Nahla H. Barakat
7. András A. Benczúr
8. Wouter Verbeke
9. Daniel A. Keim
10. Andreas Janecek

Papers from Chet Langin's perspective

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

1. Algorithms for Clustering Data
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Pattern Classification
4. ImageNet classification with deep convolutional neural networks
5. Mining association rules between sets of items in large databases
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Regression Shrinkage and Selection via the Lasso
8. Estimating the Dimension of a Model
9. C4.5: Programs for Machine Learning
10. Neural Networks for Pattern Recognition

Their papers

• Introduction to Data Mining (2019) — 6,233 citations