Yuming Zhou
Artificial Intelligence · 2006–2015
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Information Systems — 15 citations into it; #2,253 of 8,771 by trust here, #6,501 by citations
- Electrical and Electronic Engineering — 11 citations into it
- Software — 8 citations into it; #302 of 1,227 by trust here, #870 by citations
- Evaluation & Benchmarks — 6 citations into it
Whom Yuming Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ramanath Subramanyam
- Lionel Claude Briand
- Mayuram S. Krishnan
- W. Hopkins
- Tibor Gyimóthy
- Jürgen Wüst
- K. El Emam
- Mie Mie Thet Thwin
- John William Daly
Who trusts Yuming Zhou overall
- Cagatay Catal
- Ahmet Okutan
- Danijel Radjenovic
- Olcay Taner Yildiz
- Banu Diri
- Ruchika Malhotra
- M. Heričko
- Richard Torkar
- Raimund Moser
Papers from Yuming Zhou's perspective
Ordered by how strongly the researchers Yuming Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics (IEEE Trans. Software Eng.)
- Bagging Predictors
- SMOTE: Synthetic Minority Over-sampling Technique
- Random Forests
- The use of the area under the ROC curve in the evaluation of machine learning algorithms
- Exploring the relationships between design measures and software quality in object-oriented systems (Journal of Systems and Software)
- Statistical Comparisons of Classifiers over Multiple Data Sets
- A study of the behavior of several methods for balancing machine learning training data
- Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
- SMOTEBoost: Improving Prediction of the Minority Class in Boosting
Their papers
- A novel ensemble method for classifying imbalanced data (2015) — 399 citations
- Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults (2006) — 390 citations