Jaesung Lee

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it

Whom Jaesung Lee trusts overall

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

1. Yiming Yang
2. Fabrizio Sebastiani
3. Robert E. Schapire
4. Isabelle M Guyon
5. Andre´ Elisseeff
6. Grigorios Tsoumakas
7. Min-Ling Zhang
8. Yvan Saeys

Papers from Jaesung Lee's perspective

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

1. Machine learning in automated text categorization
2. BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
3. A Comparative Study on Feature Selection in Text Categorization
4. RCV1: A New Benchmark Collection for Text Categorization Research
5. Learning multi-label scene classification (Pattern Recognition)
6. An Introduction to Variable and Feature Selection
7. A review of feature selection techniques in bioinformatics
8. Gradient-based learning applied to document recognition
9. ImageNet classification with deep convolutional neural networks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Feature selection for multi-label classification using multivariate mutual information (2013) — 315 citations