Neil H. W. Eklund

According to our database, Neil H. W. Eklund authored at least 11 papers between 2001 and 2010.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2010

Time receiver operating characteristic (tROC) curves: A new tool for evaluating the performance of diagnostic systems.

Ya Xue, Neil H. W. Eklund, Xiao Hu, Weizhong Yan

Proceedings of the International Joint Conference on Neural Networks, 2010

2008

Anomaly detection using data clustering and neural networks.

Hai Qiu, Neil H. W. Eklund, Xiao Hu, Weizhong Yan, Naresh Iyer

Proceedings of the International Joint Conference on Neural Networks, 2008

Intermediate feature space approach for anomaly detection in aircraft engine data.

Neil H. W. Eklund, Xiao Hu

Proceedings of the 11th International Conference on Information Fusion, 2008

2007

A Review of Two Industrial Deployments of Multi-criteria Decision-making Systems at General Electric.

Raj Subbu, Piero P. Bonissone, Srinivas Bollapragada, Kete Charles Chalermkraivuth, Neil H. W. Eklund, Naresh Iyer, Rasik Shah, Feng Xue, Weizhong Yan

Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

2006

Efficient chromosome encoding and problem-specific mutation methods for the flexible bay facility layout problem.

Neil H. W. Eklund, Mark J. Embrechts, Marc Goetschalckx

IEEE Trans. Syst. Man Cybern. Syst., 2006

Using genetic algorithms to estimate confidence intervals for missing spatial data.

Neil H. W. Eklund

IEEE Trans. Syst. Man Cybern. Syst., 2006

Evolutionary algorithms + domain knowledge = real-world evolutionary computation.

Piero P. Bonissone, Raj Subbu, Neil H. W. Eklund, Thomas R. Kiehl

IEEE Trans. Evol. Comput., 2006

Using Meta-Features to Boost the Performance of Classifier Fusion Schemes for Time Series Data.

Neil H. W. Eklund, Kai F. Goebel

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Using an Ensemble of Classifiers to Audit a Production Classifier.

Piero P. Bonissone, Neil H. W. Eklund, Kai Goebel

Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Multiobjective financial portfolio design: a hybrid evolutionary approach.

Raj Subbu, Piero P. Bonissone, Neil H. W. Eklund, Srinivas Bollapragada, Kete Charles Chalermkraivuth

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2001

Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources.

Neil H. W. Eklund, Mark J. Embrechts

Proceedings of the Evolutionary Multi-Criterion Optimization, 2001