Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Editorial: Hybrid learning machines
Neurocomputing
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
A lattice computing approach for on-line fMRI analysis
Image and Vision Computing
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
Editorial: Hybrid intelligent algorithms and applications
Information Sciences: an International Journal
A lattice matrix method for hyperspectral image unmixing
Information Sciences: an International Journal
Lattice independent component analysis for functional magnetic resonance imaging
Information Sciences: an International Journal
Morphological associative memories
IEEE Transactions on Neural Networks
Lattice algebra approach to single-neuron computation
IEEE Transactions on Neural Networks
Deformation based features for alzheimer's disease detection with linear SVM
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
A novel lattice associative memory based on dendritic computing
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Expert Systems with Applications: An International Journal
Deformation based feature selection for Computer Aided Diagnosis of Alzheimer's Disease
Expert Systems with Applications: An International Journal
Learning parsimonious dendritic classifiers
Neurocomputing
Active Learning with Bootstrapped Dendritic Classifier applied to medical image segmentation
Pattern Recognition Letters
LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease
Pattern Recognition Letters
An ensemble of classifiers guided by the AAL brain atlas for alzheimer's disease detection
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
A survey of multiple classifier systems as hybrid systems
Information Fusion
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Dendritic computing has been proved to produce perfect approximation of any data distribution. This result guarantees perfect accuracy training. However, we have found great performance degradation when tested on conventional k-fold cross-validation schemes. In this paper we propose to use Lattice Independent Component Analysis (LICA) and the Kernel transformation of the data as an appropriate feature extraction that improves the generalization of dendritic computing classifiers. We obtain a big increase in classification performance applying with this schema over a database of features extracted from Magnetic Resonance Imaging (MRI) including Alzheimer's disease (AD) patients and control subjects.