Bin Li

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 Bin Li trusts overall

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

1. Eric R. Ziegel
2. Haibo He
3. Yoav Freund

Papers from Bin Li's perspective

Ordered by how strongly the researchers Bin Li 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. The Elements of Statistical Learning
3. Learning from Imbalanced Data
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. Fast Effective Rule Induction
10. UCI Repository of machine learning databases

Their papers

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