Parcourir par sujet "Classification"
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Ant colony optimization and data mining: Techniques and trends
(2010)The Ant Colony Optimization (ACO) technique was inspired by the ants' behaviour throughout their exploration for food. The use of this technique has been very successful for several problems. Besides, Data Mining (DM) has ... -
Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images
(2013)In this study we present a computer assisted image identification and recognition tool that aims to help the diagnosis of idiopathic pulmonary fibrosis in microscopy images. To this end, we use principal components analysis ... -
Automated differentiation of glioblastomas from intracranial metastases using 3T MR spectroscopic and perfusion data
(2013)Purpose Differentiation of glioblastomas from metastases is clinical important, but may be difficult even for expert observers. To investigate the contribution of machine learning algorithms in the differentiation of ... -
A Collaborative Biomedical Image-Mining Framework: Application on the Image Analysis of Microscopic Kidney Biopsies
(2013)The analysis and characterization of biomedical image data is a complex procedure involving several processing phases, such as data acquisition, preprocessing, segmentation, feature extraction, and classification. The ... -
A comparable study employing weka clustering/classification algorithms for web page classification
(2011)Documents and web pages share many similarities. Thus classification methods used in documents can be applied to advanced web content, with or even without modifications. Algorithms for document and web classification are ... -
Early systemic sclerosis-opportunities for treatment
(2015)Systemic sclerosis (SSc) is characterized by microvasculopathy (Raynaud's phenomenon and fibrointimal proliferation), presence of autoantibodies and collagen deposition in skin (scleroderma) and internal organs. ... -
Forest classification trees and forest support vector machines algorithms: Demonstration using microarray data
(2010)Classification into multiple classes when the measured variables are outnumbered is a major methodological challenge in -omics studies. Two algorithms that overcome the dimensionality problem are presented: the forest ... -
A hybrid classification algorithm evaluated on medical data
(2010)Ant colony optimization algorithms have been applied successfully to data mining classification problems. Recently, an improved version of cAnt-Miner (Ant-Miner coping with continuous attributes), called cAnt-Miner2, has ... -
Investigating brain tumor differentiation with diffusion and perfusion metrics at 3T MRI using pattern recognition techniques
(2013)The aim of this study was to evaluate the contribution of diffusion and perfusion MR metrics in the discrimination of intracranial brain lesions at 3T MRI, and to investigate the potential diagnostic and predictive value ... -
RuleMR: Classification rule discovery with MapReduce
(2014)The vast amounts of data generated, exchanged and consumed on a daily basis by contemporary networks and devices renders their analysis a cumbersome procedure with inherent difficulties. On the one hand, the need for ... -
Skin lesions characterisation utilising clustering algorithms
(2010)In this paper we propose a clustering technique for the recognition of pigmented skin lesions in dermatological images. It is known that computer vision-based diagnosis systems have been used aiming mostly at the early ... -
Speed optimized face recognition on mobile devices using Eigenfaces decomposition
(2010)Face recognition on mobile devices can be utilized for security applications (e.g., user authentication) or in the context of pervasive and assistive computing for the support of elderly suffering from dementia in recognizing ... -
A study of cAnt-Miner2 parameters using medical data sets
(2010)This paper presents a study of the user-defined parameters of the cAnt-Miner2 algorithm which extended the approach of coping with continuous attributes that was introduced by the cAnt-Miner algorithm. Experiments on two ... -
A supervised machine learning classification algorithm for research articles
(2013)The issue of the automatic classification of research articles into one or more fields of science is of primary importance for scientific databases and digital libraries. A sophisticated classification strategy renders ...