Chao Chen

Artificial Intelligence · with Li · 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 Chao Chen trusts

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

  1. Rfdo 2XWOLHUV (in Artificial Intelligence)
  2. Andrew P. Bradley (in Evaluation & Benchmarks)

Papers from Chao Chen's perspective

Ordered by how strongly the researchers Chao Chen 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. Discovering cluster-based local outliers (Pattern Recognition Letters)
  6. Inferring High-Level Behavior from Low-Level Sensors (Ubiquitous Computing)
  7. Trajectory Outlier Detection: A Partition-and-Detect Framework (IEEE International Conference on Data Engineering)
  8. Inverted files for text search engines
  9. Predestination: Inferring Destinations from Partial Trajectories (Ubiquitous Computing)
  10. Mining interesting locations and travel sequences from GPS trajectories (The Web Conference)

Their papers