Yifan Shi

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yifan Shi trusts overall

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

  1. Zhi-Hua Zhou
  2. Jerome H. Friedman

Papers from Yifan Shi's perspective

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

  1. The Strength of Weak Learnability
  2. Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach (International Conference on Machine Learning)
  3. Neural Network Ensembles, Cross Validation, and Active Learning
  4. Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
  5. Stochastic gradient boosting
  6. Tri-training: exploiting unlabeled data using three classifiers
  7. Ensemble Methods: Foundations and Algorithms
  8. Ensembling neural networks: Many could be better than all
  9. Combining multiple clusterings using evidence accumulation (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  10. Learn$^{++}$ .NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes

Their papers