Y. Yu

Artificial Intelligence · with Bao · 2020

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

• Artificial Intelligence — 17 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Y. Yu trusts overall

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

1. Eric R. Ziegel

Papers from Y. Yu's perspective

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

1. A decision-theoretic generalization of on-line learning and an application to boosting
2. Learning from Imbalanced Data
3. The Elements of Statistical Learning
4. Portfolio Selection : A Survey
5. Detection of financial statement fraud and feature selection using data mining techniques (Decision Support Systems)
6. The Nature of Statistical Learning Theory
7. Experiments with a New Boosting Algorithm
8. Induction of decision trees
9. UCI Repository of machine learning databases
10. Fast Effective Rule Induction

Their papers

• Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach (2020) — 299 citations