Gongping Yang

Artificial Intelligence · 2008–2015

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it

Whom Gongping Yang trusts overall

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

1. Nathalie Japkowicz
2. William W. Cohen
3. Pedro M. Domingos

Papers from Gongping Yang's perspective

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

1. Gradient-based learning applied to document recognition
2. Robust Classification for Imprecise Environments
3. A decision-theoretic generalization of on-line learning and an application to boosting
4. The use of the area under the ROC curve in the evaluation of machine learning algorithms
5. Fast Effective Rule Induction
6. Random Forests
7. MetaCost: a general method for making classifiers cost-sensitive
8. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response (IEEE Transactions on Medical Imaging)
9. Mining with rarity: a unifying framework
10. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction (IEEE Transactions on Medical Imaging)

Their papers

• On the Class Imbalance Problem (2008) — 586 citations
• Hierarchical retinal blood vessel segmentation based on feature and ensemble learning (2015) — 380 citations