Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Sparse bayesian learning and the relevance vector machine
The Journal of Machine Learning Research
Two-Level Hierarchical Hybrid SVM-RVM Classification Model
ICMLA '06 Proceedings of the 5th International Conference on Machine Learning and Applications
Journal of Cognitive Neuroscience
Performance Evaluation of Kernel Based Techniques for Brain MRI Data Classification
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 02
Incremental construction of classifier and discriminant ensembles
Information Sciences: an International Journal
Automatic EEG signal classification for epilepsy diagnosis with Relevance Vector Machines
Expert Systems with Applications: An International Journal
On the Use of Morphometry Based Features for Alzheimer's Disease Detection on MRI
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Results of an Adaboost Approach on Alzheimer's Disease Detection on MRI
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Prostate cancer localization with multispectral MRI based on relevance vector machines
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Classification results of artificial neural networks for Alzheimer's disease detection
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Expert Systems with Applications: An International Journal
Predicting stock returns by classifier ensembles
Applied Soft Computing
Computers in Biology and Medicine
The relevance vector machine technique for channel equalization application
IEEE Transactions on Neural Networks
LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease
Pattern Recognition Letters
A survey of multiple classifier systems as hybrid systems
Information Fusion
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We present a two stage sequential ensemble where data samples whose output from the first classifier fall in a low confidence output interval (LCOI) are processed by a second stage classifier. Training is composed of three processes: training the first classifier, determining the LCOI of the first classifier, and training the second classifier upon the data items whose output fall in the LCOI. The LCOI is determined varying a threshold on the false positive rate (FPR) and false negative rate (FNR) curves. We have tested the approach on a database of feature vectors for the classification of Alzheimer's disease (AD) and control subjects extracted from structural magnetic resonance imaging (sMRI) data. In this paper, we focus on the combinations obtained when the first classifier is a relevance vector machine (RVM). Obtained results improve over previous results for this database.