Kenney Ng
Artificial Intelligence · 2011–2016
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it; #7,661 of 21,575 by trust here, #9,722 by citations
- Information Systems — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Kenney Ng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Radford M. Neal
- David Ruppert
- Moses Charikar
- Monika Henzinger
- Pavel Berkhin
- Max Kuhn
Who trusts Kenney Ng overall
Papers from Kenney Ng's perspective
Ordered by how strongly the researchers Kenney Ng trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Pattern Recognition and Machine Learning
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Greedy function approximation: A gradient boosting machine.
- Similarity estimation techniques from rounding algorithms
- Interactive optimization for steering machine classification
- Syntactic Clustering of the Web
- EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers
- Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
- Principles of Explanatory Debugging to Personalize Interactive Machine Learning
Their papers
- Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models (2016) — 418 citations
- Early Detection of Heart Failure with Varying Prediction Windows by Structured and Unstructured Data in Electronic Health Records (2015) — 58 citations
- Auto-grouping emails for faster e-discovery (2011) — 19 citations