Articles with "multi class" as a keyword



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A novel EEG channel selection and classification methodology for multi‐class motor imagery‐based BCI system design

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Published in 2022 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22700

Abstract: Multi‐class MI EEG analysis is an extensively used paradigm in BCI. However, multiple EEG channels lead to redundant information extraction and would reduce the distinction among various MI tasks. Therefore, optimal channel selection from multi‐channel… read more here.

Keywords: multi class; bci; channel selection; methodology ... See more keywords
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VEntNet: Hybrid deep convolutional neural network model for automated multi‐class categorization of chest X‐rays

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Published in 2022 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22715

Abstract: Visual interpretation of chest X‐rays (CXRs) is tedious and prone to error. Significant amount of time is spent by the radiologist in differentiating normal from abnormal CXRs and in identifying the location and type of… read more here.

Keywords: network; class; multi class; model ... See more keywords
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Alzheimer's detection using various feature extraction approaches using a multimodal multi‐class deep learning model

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Published in 2022 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22813

Abstract: Alzheimer's disease is a chronic brain condition that takes a toll on memory and potential to do even the most basic tasks. With no specific solution viable at this time, it's critical to pinpoint the… read more here.

Keywords: class deep; accuracy; class; extraction ... See more keywords
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Light microscopic iris classification using ensemble multi‐class support vector machine

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Published in 2021 at "Microscopy Research and Technique"

DOI: 10.1002/jemt.23659

Abstract: Similar to other biometric systems such as fingerprint, face, DNA, iris classification could assist law enforcement agencies in identifying humans. Iris classification technology helps law‐enforcement agencies to recognize humans by matching their iris with iris… read more here.

Keywords: classification; iris classification; ensemble multi; multi class ... See more keywords
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A network approach to compute hypervolume under receiver operating characteristic manifold for multi‐class biomarkers

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Published in 2023 at "Statistics in Medicine"

DOI: 10.1002/sim.9646

Abstract: Computation of hypervolume under ROC manifold (HUM) is necessary to evaluate biomarkers for their capability to discriminate among multiple disease types or diagnostic groups. However the original definition of HUM involves multiple integration and thus… read more here.

Keywords: multi class; approach compute; operating characteristic; receiver operating ... See more keywords
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Selecting promising classes from generated data for an efficient multi-class nearest neighbor classification

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Published in 2017 at "Soft Computing"

DOI: 10.1007/s00500-016-2176-0

Abstract: The nearest neighbor rule is one of the most considered algorithms for supervised learning because of its simplicity and fair performance in most cases. However, this technique has a number of disadvantages, being the low… read more here.

Keywords: multi class; nearest neighbor; promising classes; classification ... See more keywords
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A Stable Isotope Dilution Assay for Multi-class Antibiotics in Pregnant Urines by LC–MS/MS

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Published in 2020 at "Chromatographia"

DOI: 10.1007/s10337-020-03866-3

Abstract: Abstract An accurate assay suitable for human biomonitoring of multiclass antibiotics preferred for veterinary use is currently lacking. In this study, we developed a liquid chromatography-triple quadrupole tandem mass spectrometry (LC–QqQ–MS/MS) method for analysis of… read more here.

Keywords: dilution assay; multi class; class antibiotics; stable isotope ... See more keywords
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DCA based algorithms for feature selection in multi-class support vector machine

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Published in 2017 at "Annals of Operations Research"

DOI: 10.1007/s10479-016-2333-y

Abstract: This paper addresses the problem of feature selection for Multi-class Support Vector Machines. Two models involving the $$\ell _{0}$$ℓ0 (the zero norm) and the $$\ell _{2}$$ℓ2–$$\ell _{0}$$ℓ0 regularizations are considered for which two continuous approaches… read more here.

Keywords: class support; feature; feature selection; selection multi ... See more keywords
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WhichP450: a multi-class categorical model to predict the major metabolising CYP450 isoform for a compound

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Published in 2018 at "Journal of Computer-Aided Molecular Design"

DOI: 10.1007/s10822-018-0107-0

Abstract: In the development of novel pharmaceuticals, the knowledge of how many, and which, Cytochrome P450 isoforms are involved in the phase I metabolism of a compound is important. Potential problems can arise if a compound… read more here.

Keywords: model predict; isoform; major metabolising; model ... See more keywords
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A model for multi-class road network recovery scheduling of regional road networks

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Published in 2020 at "Transportation"

DOI: 10.1007/s11116-017-9852-5

Abstract: In this paper, an optimisation model for recovery planning of road networks is presented in which both social and economic resilience is aimed to be achieved. The model is formulated as a bi-level multi-objective discrete… read more here.

Keywords: road; model; multi class; recovery ... See more keywords
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Classification of Multi-class Daily Human Motion using Discriminative Body Parts and Sentence Descriptions

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Published in 2017 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-017-1053-3

Abstract: In this paper, we propose a motion model that focuses on the discriminative parts of the human body related to target motions to classify human motions into specific categories, and apply this model to multi-class… read more here.

Keywords: motion; classification; class daily; daily human ... See more keywords