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ORCIDCIEL 2013: Singapore
- Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, CIEL 2013, IEEE Symposium Series on Computational Intelligence (SSCI), 16-19 April 2013, Singapore. IEEE 2013, ISBN 978-1-4673-5853-8
- Norbert Jankowski:
Fast heterogeneous boosting. 1-8 - Nima Hatami, Camelia Chira
:
Classifiers with a reject option for early time-series classification. 9-16 - Nikolaos Gianniotis, Carsten Riggelsen:
Visualisation of high-dimensional data using an ensemble of neural networks. 17-24 - Ren Ye, Le Zhang, Ponnuthurai N. Suganthan:
K-nearest neighbor based bagging SVM pruning. 25-30 - Le Zhang, Ye Ren, Ponnuthurai N. Suganthan:
Instance based random forest with rotated feature space. 31-35 - Shuo Wang, Leandro L. Minku, Xin Yao:
A learning framework for online class imbalance learning. 36-45 - Bartosz Krawczyk, Michal Wozniak:
Accuracy and diversity in classifier selection for one-class classification ensembles. 46-51 - Ulf Johansson, Tuve Löfström, Henrik Boström:
Overproduce-and-select: The grim reality. 52-59 - Bartosz Krawczyk, Michal Wozniak:
On diversity measures for fuzzy one-class classifier ensembles. 60-65 - Essam Soliman Debie, Kamran Shafi, Chris Lokan, Kathryn E. Merrick:
Reduct based ensemble of learning classifier system for real-valued classification problems. 66-73
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last updated on 2026-06-30 00:24 CEST by the dblp team
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