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A survey of multiple classifier systems as hybrid systems
TLDR
A current focus of intense research in pattern classification is the combination of several classifier systems, which can be built following either the same or different models and/or datasets. Expand
Model‐based analysis of multishell diffusion MR data for tractography: How to get over fitting problems
TLDR
We propose a simple extension to the ball and stick model based on a continuous gamma distribution of diffusivities, which significantly improves the fitting and reduces the overfitting in the distribution of fiber orientations when not considered in the model. Expand
Deformation based feature selection for Computer Aided Diagnosis of Alzheimer's Disease
TLDR
Deformation-based Morphometry (DBM) allows detection of significant morphological differences of brain anatomy, such as those related to brain atrophy in Alzheimer's Disease. Expand
Computer Aided Diagnosis system for Alzheimer Disease using brain Diffusion Tensor Imaging features selected by Pearson's correlation
TLDR
The aim of this paper is to obtain discriminant features from two scalar measures of Diffusion Tensor Imaging (DTI) data, Fractional Anisotropy (FA) and Mean Diffusivity (MD), and to train and test classifiers able to discriminate Alzheimer's Disease (AD) patients from controls on the basis of features extracted from the FA or MD volumes. Expand
A brief review of lattice computing
  • M. Graña
  • Mathematics, Computer Science
  • IEEE International Conference on Fuzzy Systems…
  • 1 June 2008
TLDR
Lattice computing is the class of algorithms that apply lattice operators inf and sup or use lattice theory to produce generalizations or fusions of previous approaches, we find a host of algorithms for data processing, classification, signal filtering, have been produced over the last decades. Expand
An endmember-based distance for content based hyperspectral image retrieval
TLDR
We propose a specific content-based image retrieval (CBIR) system for hyperspectral images exploiting its rich spectral information. Expand
Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM
TLDR
This paper deals with the application of Extreme Learning Machines (ELM) to build Computer Aided Diagnosis systems on the basis of features extracted from the activity measures computed over rs-fMRI data. Expand
A Spectral/Spatial CBIR System for Hyperspectral Images
TLDR
This paper introduces a novel content-based image retrieval (CBIR) system for hyperspectral image databases using both spectral and spatial features computed following an unsupervised unmixing process which minimizes human intervention. Expand
Two lattice computing approaches for the unsupervised segmentation of hyperspectral images
TLDR
We explore the unsupervised segmentation of hyperspectral images based on the abundance images computed, first, by an endmember selection algorithm and, second, by a previously proposed heuristically defined algorithm. Expand
Neurocognitive disorder detection based on feature vectors extracted from VBM analysis of structural MRI
TLDR
We describe a feature extraction method based on Voxel Based Morphometry (VBM). Expand
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