Quan Sun
Quan Sun
Verified email at students.waikato.ac.nz - Homepage
Cited by
Cited by
Pairwise meta-rules for better meta-learning-based algorithm ranking
Q Sun, B Pfahringer
Machine learning 93 (1), 141-161, 2013
Bagging Ensemble Selection
Q Sun, B Pfahringer
AI'11: The 24th Australasian Joint Conference on Artificial Intelligence …, 2011
Full model selection in the space of data mining operators
Q Sun, B Pfahringer, M Mayo
GECCO'12: Proceedings of the 14th international conference on Genetic and …, 2012
Towards a Framework for Designing Full Model Selection and Optimization Systems
Q Sun, B Pfahringer, M Mayo
MCS'13: The 11th International Workshop on Multiple Classifier Systems, 259--270, 2013
Bagging Ensemble Selection for Regression
Q Sun, B Pfahringer
AI'12: The 25th Australasian Joint Conference on Artificial Intelligence, 2012
Meta-Learning and the Full Model Selection Problem
Q Sun
The University of Waikato, 2014
Sampling-based prediction of algorithm runtime
Q Sun
The University of Waikato, 2009
Hierarchical meta-rules for scalable meta-learning
Q Sun, B Pfahringer
Pacific rim international conference on artificial intelligence, 383-395, 2014
Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text
B Singh, Q Sun, YS Koh, J Lee, E Zhang
2020 IEEE 7th International Conference on Data Science and Advanced …, 2020
Evolving Artificial Datasets to Improve Interpretable Classifiers
M Mayo, Q Sun
Evolutionary Computation (CEC), 2014 IEEE Congress on, 2014
Balancing Utility and Fairness against Privacy in Medical Data
A Chester, YS Koh, J Wicker, Q Sun, J Lee
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1226-1233, 2020
The system can't perform the operation now. Try again later.
Articles 1–11