Neil H. W. Eklund

Publication Activity (10 Years)

Years Active: 2001-2010
Publications (10 Years): 0

Publications

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)
Hai Qiu, Neil H. W. Eklund, Xiao Hu, Weizhong Yan, Naresh Iyer
Anomaly detection using data clustering and neural networks. IJCNN (2008)
Neil H. W. Eklund, Xiao Hu
Intermediate feature space approach for anomaly detection in aircraft engine data. FUSION (2008)
Raj Subbu, Piero P. Bonissone, Srinivas Bollapragada, Kete Charles Chalermkraivuth, Neil H. W. Eklund, Naresh Iyer, Rasik Shah, Feng Xue, Weizhong Yan
A Review of Two Industrial Deployments of Multi-criteria Decision-making Systems at General Electric. MCDM (2007)
Neil H. W. Eklund
Using genetic algorithms to estimate confidence intervals for missing spatial data. IEEE Trans. Syst. Man Cybern. Syst. 36 (4) (2006)
Piero P. Bonissone, Raj Subbu, Neil H. W. Eklund, Thomas R. Kiehl
Evolutionary algorithms + domain knowledge = real-world evolutionary computation. IEEE Trans. Evol. Comput. 10 (3) (2006)
Neil H. W. Eklund, Mark J. Embrechts, Marc Goetschalckx
Efficient chromosome encoding and problem-specific mutation methods for the flexible bay facility layout problem. IEEE Trans. Syst. Man Cybern. Syst. 36 (4) (2006)
Neil H. W. Eklund, Kai F. Goebel
Using Meta-Features to Boost the Performance of Classifier Fusion Schemes for Time Series Data. IJCNN (2006)
Piero P. Bonissone, Neil H. W. Eklund, Kai Goebel
Using an Ensemble of Classifiers to Audit a Production Classifier. Multiple Classifier Systems (2005)
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)
Neil H. W. Eklund, Mark J. Embrechts
Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources. EMO (2001)