Nan Li

Artificial Intelligence · with Chen · 2011

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nan Li trusts overall

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

  1. Rfdo 2XWOLHUV
  2. Andrew P. Bradley
  3. Justin Zobel
  4. Naoki Abe
  5. Jae-Gil Lee
  6. Fei Tony Liu

Papers from Nan Li's perspective

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

  1. LOF: identifying density-based local outliers
  2. Distance-based outliers: algorithms and applications (The VLDB journal)
  3. Outlier detection by active learning (Knowledge Discovery and Data Mining)
  4. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  5. Inferring High-Level Behavior from Low-Level Sensors (Ubiquitous Computing)
  6. Discovering cluster-based local outliers (Pattern Recognition Letters)
  7. Trajectory Outlier Detection: A Partition-and-Detect Framework (IEEE International Conference on Data Engineering)
  8. Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach (AAAI Conference on Artificial Intelligence)
  9. Predestination: Inferring Destinations from Partial Trajectories (Ubiquitous Computing)
  10. Inverted files for text search engines

Their papers