Rongzi Ji

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Rongzi Ji trusts overall

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

  1. Chih-Jen Lin
  2. Robert Malouf
  3. Tingyao Wu
  4. Feng Kang
  5. Jesse Read
  6. Eyke Hüllermeier

Who trusts Rongzi Ji overall

  1. Weiwei Liu

Papers from Rongzi Ji's perspective

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

  1. LIBSVM: A library for support vector machines
  2. Probability Estimates for Multi-class Classification by Pairwise Coupling (Journal of machine learning research)
  3. Knowledge Discovery in Multi-label Phenotype Data (European Conference on Principles of Data Mining and Knowledge Discovery)
  4. Combining instance-based learning and logistic regression for multilabel classification (Machine-mediated learning)
  5. Ieee Transactions on Knowledge and Data Engineering 1 Multi-label Neural Networks with Applications to Functional Genomics and Text Categorization
  6. Multilabel classification via calibrated label ranking (Machine-mediated learning)
  7. Label ranking by learning pairwise preferences (Artificial Intelligence)
  8. Multi-label Classification Using Ensembles of Pruned Sets (2008 Eighth IEEE International Conference on Data Mining)
  9. Correlated Label Propagation with Application to Multi-label Learning
  10. Scalable and efficient multi-label classification for evolving data streams

Their papers