Jie Sun
Artificial Intelligence · with Li · 2008–2020
A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 53 citations into it; #25,843 of 35,345 by trust here, #22,463 by citations
- Accounting — 49 citations into it; #6,288 of 8,970 by trust here, #5,847 by citations
- Management Science and Operations Research — 19 citations into it
- Finance — 14 citations into it
Whom Jie Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Fong Tsai
- Kyung-shik Shin
- Leo Breiman
- Amir F. Atiya
- Ingoo Han
- Iain Brown
- Jae H. Min
- Sofie Balcaen
- Jhen-Wei Wu
- Myoung-Jong Kim
Who trusts Jie Sun overall
Papers from Jie Sun's perspective
Ordered by how strongly the researchers Jie Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Bankruptcy prediction for credit risk using neural networks: A survey and new results (IEEE Trans. Neural Networks)
- The Nature of Statistical Learning Theory
- Statistical Classification Methods in Consumer Credit Scoring: a Review
- SMOTE: Synthetic Minority Over-sampling Technique
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- A genetic algorithm application in bankruptcy prediction modeling (Expert systems with applications)
- Financial time series forecasting using support vector machines
- Genetic Algorithms in Search Optimization and Machine Learning
- Induction of decision trees
Their papers
- Ranking-order case-based reasoning for financial distress prediction (2008) — 148 citations
- Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting (2020) — 325 citations
- Imbalanced enterprise credit evaluation with DTE-SBD: Decision tree ensemble based on SMOTE and bagging with differentiated sampling rates (2018) — 363 citations
- Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches (2014) — 365 citations