Ke Mai

International Journal of Geographical Information Science · 2017

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

Whom Ke Mai trusts

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

1. Peter J. Rousseeuw (in Evaluation & Benchmarks)

Papers from Ke Mai's perspective

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

1. Latent Dirichlet Allocation
2. Random Forests
3. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
4. Continuous space language models
5. Urban Computing: Concepts, Methodologies, and Applications
6. Discovering regions of different functions in a city using human mobility and POIs (Knowledge Discovery and Data Mining)
7. Analysis of a Random Forests Model
8. Bag-of-visual-words and spatial extensions for land-use classification
9. Object based image analysis for remote sensing
10. A bagging SVM to learn from positive and unlabeled examples (Pattern Recognition Letters)

Their papers

• Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model (2017) — 458 citations