 | 2010 |
| 6 |  | Ya Xue,
Neil H. W. Eklund,
Xiao Hu,
Weizhong Yan:
Time receiver operating characteristic (tROC) curves: A new tool for evaluating the performance of diagnostic systems.
IJCNN 2010: 1-7 |
| 2008 |
| 5 |  | Hai Qiu,
Neil H. W. Eklund,
Xiao Hu,
Weizhong Yan,
Naresh Iyer:
Anomaly detection using data clustering and neural networks.
IJCNN 2008: 3627-3633 |
| 2006 |
| 4 |  | Neil H. W. Eklund,
Kai F. Goebel:
Using Meta-Features to Boost the Performance of Classifier Fusion Schemes for Time Series Data.
IJCNN 2006: 3223-3230 |
| 3 |  | Piero P. Bonissone,
Raj Subbu,
Neil H. W. Eklund,
Thomas R. Kiehl:
Evolutionary algorithms + domain knowledge = real-world evolutionary computation.
IEEE Trans. Evolutionary Computation 10(3): 256-280 (2006) |
| 2005 |
| 2 |  | Raj Subbu,
Piero P. Bonissone,
Neil H. W. Eklund,
Srinivas Bollapragada,
Kete Charles Chalermkraivuth:
Multiobjective financial portfolio design: a hybrid evolutionary approach.
Congress on Evolutionary Computation 2005: 1722-1729 |
| 1 |  | Piero P. Bonissone,
Neil H. W. Eklund,
Kai Goebel:
Using an Ensemble of Classifiers to Audit a Production Classifier.
Multiple Classifier Systems 2005: 376-386 |