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ORCIDApplications of Supervised and Unsupervised Ensemble Methods 2009
- Oleg Okun
, Giorgio Valentini:
Applications of Supervised and Unsupervised Ensemble Methods. Studies in Computational Intelligence 245, Springer 2009, ISBN 978-3-642-03998-0 - Grigorios Tsoumakas, Ioannis Partalas, Ioannis P. Vlahavas:
An Ensemble Pruning Primer. 1-13 - Battista Biggio, Giorgio Fumera, Fabio Roli:
Evade Hard Multiple Classifier Systems. 15-38 - Francesco Gargiulo, Antonio Penta, Antonio Picariello, Carlo Sansone:
A Personal Antispam System Based on a Behaviour-Knowledge Space Approach. 39-57 - Terry Windeatt:
Weighted Decoding ECOC for Facial Action Unit Classification. 59-77 - Matteo Re, Giorgio Valentini:
Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources. 79-91 - Georg Krempl, Vera Hofer:
Partitioner Trees for Classification: A New Ensemble Method. 93-112 - Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio:
Disturbing Neighbors Diversity for Decision Forests. 113-133 - Cédric Wemmert, Germain Forestier, Sébastien Derivaux:
Improving Supervised Learning with Multiple Clusterings. 135-149 - Gabriele Lombardi, Elena Casiraghi, Paola Campadelli:
The Neighbors Voting Algorithm and Its Applications. 151-173 - Muna Al-Razgan, Carlotta Domeniconi:
Clustering Ensembles with Active Constraints. 175-189 - Sebastian Nusser, Clemens Otte, Werner Hauptmann:
Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs. 191-211 - Angelo Ciaramella, Giulio Giunta, Angelo Riccio, Stefano Galmarini:
Independent Data Model Selection for Ensemble Dispersion Forecasting. 213-231 - Erinija Pranckeviciene:
Integrating Liknon Feature Selection and Committee Training. 233-250 - Pedro Gago, Manuel Filipe Santos:
Evaluating Hybrid Ensembles for Intelligent Decision Support for Intensive Care. 251-265
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