Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines.
Sign Up to like & getrecommendations! Published in 2020 at "NMR in biomedicine"
DOI: 10.1002/nbm.4307
Abstract: Remodeling of tissue microvasculature commonly promotes neoplastic growth; however, there is no imaging modality in oncology yet that noninvasively quantifies microvascular changes in clinical routine. Although blood capillaries cannot be resolved in typical magnetic resonance… read more here.
Keywords: nmr voxels; classification; support vector; vector machines ... See more keywords
Parallel Clifford Support Vector Machines Using the Gaussian Kernel
Sign Up to like & getrecommendations! Published in 2017 at "Advances in Applied Clifford Algebras"
DOI: 10.1007/s00006-016-0726-2
Abstract: This work presents a parallelization method for the Clifford support vector machines, based in two characteristics of the Gaussian Kernel. The pure real-valued result and its commutativity allows us to separate the multivector data in… read more here.
Keywords: vector machines; gaussian kernel; clifford support; support vector ... See more keywords
Credibility support vector machines based on fuzzy outputs
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-018-3106-0
Abstract: Support vector machines (SVMs) based on fuzzy theory have attracted widespread attentions in pattern recognition and machine learning. However, these SVMs have some limitation in dealing with some classification problems with fuzzy outputs, which results… read more here.
Keywords: support vector; fuzzy outputs; credibility; vector machines ... See more keywords
Generalized support vector machines (GSVMs) model for real-world time series forecasting
Sign Up to like & getrecommendations! Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-021-06189-z
Abstract: Support vector machines (SVMs) are one of the most popular and widely used approaches in modeling. Various kinds of SVM models have been developed in the literature of prediction and classification in order to cover… read more here.
Keywords: vector; real world; support vector; vector machines ... See more keywords
Boosting the Hardware-Efficiency of Cascade Support Vector Machines for Embedded Classification Applications
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Parallel Programming"
DOI: 10.1007/s10766-017-0514-1
Abstract: Support Vector Machines (SVMs) are considered as a state-of-the-art classification algorithm capable of high accuracy rates for a different range of applications. When arranged in a cascade structure, SVMs can efficiently handle problems where the… read more here.
Keywords: classification; support vector; hardware; vector machines ... See more keywords
Domain Adaptation with Twin Support Vector Machines
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9775-3
Abstract: Supervised learning models assume that the training and test data are drawn from the same underlying distribution. These algorithms become ineffective when such assumptions are violated. Therefore, domain adaptation methods were proposed to handle data… read more here.
Keywords: vector machines; twin support; domain adaptation; support vector ... See more keywords
Identification-based simplified model of large container ships using support vector machines and artificial bee colony algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Applied Ocean Research"
DOI: 10.1016/j.apor.2017.09.006
Abstract: Abstract The 6 degrees of freedom (DOF) model with a high degree of complexity for capturing ship dynamics is generally able to track the nonlinear and coupling dynamics of ships. However, the 6 DOF model… read more here.
Keywords: bee colony; support vector; vector machines; model ... See more keywords
Identification of coupled response models for ship steering and roll motion using support vector machines
Sign Up to like & getrecommendations! Published in 2021 at "Applied Ocean Research"
DOI: 10.1016/j.apor.2021.102607
Abstract: Abstract Based on the linearized equation of ship manoeuvring motion in 4 degrees of freedom, the coupled response models for ship steering and roll motion are derived. To verify the response models, part of the… read more here.
Keywords: response; support vector; vector machines; response models ... See more keywords
Epileptic seizures detection based on some new Laguerre polynomial wavelets, artificial neural networks and support vector machines
Sign Up to like & getrecommendations! Published in 2019 at "Informatics in Medicine Unlocked"
DOI: 10.1016/j.imu.2019.100209
Abstract: Abstract Electroencephalography (EEG) is noninvasive and it is an effective tool to understand the complex nature of the brain. Its analysis by visual inspection is tedious and costly, and that is why many researchers in… read more here.
Keywords: networks support; neural networks; artificial neural; support vector ... See more keywords
Twin support vector machines: A survey
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.01.093
Abstract: Abstract Twin support vector machines (TWSVM) is a new machine learning method based on the theory of Support Vector Machine (SVM). Unlike SVM, TWSVM would generate two non-parallel planes, such that each plane is closer… read more here.
Keywords: twsvm; support vector; vector machines; twin support ... See more keywords
Computerized categorization of TLD glow curve anomalies using multi-class classification support vector machines
Sign Up to like & getrecommendations! Published in 2019 at "Radiation Measurements"
DOI: 10.1016/j.radmeas.2019.04.015
Abstract: Abstract A novel method for automatic categorization of thermoluminescent dosimeter (TLD) glow curve (GC) anomalies is presented. This automatic categorization will improve the metrological process of dose estimation by enhancing both its repeatability and its… read more here.
Keywords: tld glow; curve anomalies; categorization; support vector ... See more keywords