Original Contribution: Stacked generalization
Neural Networks
Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Methods for combining experts' probability assessments
Neural Computation
Machine Learning
Combination of Multiple Classifiers Using Local Accuracy Estimates
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Experimental evaluation of expert fusion strategies
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
An experimental evaluation of ensemble methods for EEG signal classification
Pattern Recognition Letters
Measuring feature uncertainty by using similarity
FS'06 Proceedings of the 7th WSEAS International Conference on Fuzzy Systems
Video and infrared cameras localization method using information fusion
ACACOS'08 Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science
Investigating methods for improving bagged k-NN classifiers
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Information Fusion for Uncertainty Determination in Video and Infrared Cameras System
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
A decision method for recognition in video and infrared multicameras system
WSEAS Transactions on Systems and Control
Experimental evaluation of diversity measures of combined classifiers
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Comparing combiner systems using diversity measures
SIP'10 Proceedings of the 9th WSEAS international conference on Signal processing
A comparison of soft fusion methods under different bagging scenarios
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Decision fusion of horizontal and vertical trajectories for recognition of online Farsi subwords
Engineering Applications of Artificial Intelligence
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We propose a new fusion rule referred to as Modified Product (MProduct) and investigate its dependence on its only parameter, the truncation threshold. We show that MProduct classification rate peaks at a certain threshold value. At its optimal operating point MProduct outperforms Sum and Product.