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   Articles with "multiclass" as a keyword



Multiclass Classification Based on Multi-criteria Decision-making

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recommendations! Published in 2019 at "Journal of Classification"

DOI: 10.1007/s00357-018-9286-6

Abstract: Lots of real-world problems require multiclass classification. Since most general classification methods are originally introduced for binary problems (including two classes), they should be extended to multiclass problems. A solution proposed for multiclass problems is… read more here.

Keywords: criteria decision; classification; decision making; multiclass ... See more keywords

Computing solutions of the multiclass network equilibrium problem with affine cost functions

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recommendations! Published in 2019 at "Annals of Operations Research"

DOI: 10.1007/s10479-018-2817-z

Abstract: We consider a non-atomic congestion game on a graph, with several classes of players. Each player wants to go from his origin vertex to his destination vertex at the minimum cost and all players of… read more here.

Keywords: computing solutions; equilibrium; multiclass; cost functions ... See more keywords

A robust deep learning-based multiclass segmentation method for analyzing human metaphase II oocyte images

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recommendations! Published in 2021 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2021.105946

Abstract: BACKGROUND AND OBJECTIVE The morphology of the human metaphase II (MII) oocyte is an essential indicator of the embryo's potential for developing into a healthy baby in the Intra-Cytoplasmic Sperm Injection (ICSI) process. In this… read more here.

Keywords: segmentation; deep learning; oocyte images; human metaphase ... See more keywords

Emulsification/demulsification method coupled to GC-MS/MS for analysis of multiclass pesticide residues in edible oils.

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recommendations! Published in 2022 at "Food chemistry"

DOI: 10.1016/j.foodchem.2022.132098

Abstract: A simple, rapid, and sensitive method was developed for simultaneous determination of 103 multiclass pesticides in edible oils. A new strategy of sample preparation involving a spontaneous emulsification followed by membrane-based demulsification was proposed. The… read more here.

Keywords: emulsification; pesticide residues; method; demulsification ... See more keywords

Machine learning based prediction of metal hydrides for hydrogen storage, part II: Prediction of material class

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recommendations! Published in 2019 at "International Journal of Hydrogen Energy"

DOI: 10.1016/j.ijhydene.2019.01.264

Abstract: Abstract The openly available dataset on hydrogen storage materials provided by the US Department of Energy was used to predict the optimal materials class of metal hydrides based on the desired properties, which included hydrogen-weight… read more here.

Keywords: hydrogen; multiclass; prediction; class ... See more keywords

A classification method for multiple power quality disturbances using EWT based adaptive filtering and multiclass SVM

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recommendations! Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.01.038

Abstract: Abstract This paper presents an automated recognition approach for the classification of power quality (PQ) disturbances based on adaptive filtering and a multiclass support vector machine (SVM). Empirical wavelet transform-based adaptive filtering technique is suitable… read more here.

Keywords: classification; adaptive filtering; power quality; based adaptive ... See more keywords

An improved SPE-LC-MS/MS method for multiclass endocrine disrupting compound determination in tropical estuarine sediments.

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recommendations! Published in 2017 at "Talanta"

DOI: 10.1016/j.talanta.2017.05.064

Abstract: Estuary sediments are one of the important components of coastal ecosystems and have been regarded as a sink for various types of organic pollutants. Organic pollutants such as endocrine disrupting compounds (EDCs) which have been… read more here.

Keywords: improved spe; endocrine disrupting; estuarine sediments; method ... See more keywords

A context aware multiclass loss function for semantic segmentation with a focus on intricate areas and class imbalances

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-08234-5

Abstract: Image segmentation models play an important role in many machine vision systems by providing a more interpretable representation of images to computers. The accuracy of these models is vital, as it can directly impact the… read more here.

Keywords: loss; segmentation; context aware; loss function ... See more keywords

Multiclass models for nonlinear classification via nonparallel hyperplane support vector machine.

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recommendations! Published in 2025 at "Chaos"

DOI: 10.1063/5.0260466

Abstract: Kernel methods are crucial in machine learning due to their ability to model nonlinear relationships in data. Among these, Support Vector Machine (SVM) is widely recognized for its robust performance and appealing optimization properties. In… read more here.

Keywords: nonparallel hyperplane; support vector; machine; vector machine ... See more keywords

Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression.

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recommendations! Published in 2020 at "Journal of neural engineering"

DOI: 10.1088/1741-2552/aba7cd

Abstract: OBJECTIVE Due to low spatial resolution and poor signal-to-noise ratio of electroencephalogram (EEG), high accuracy classifications still suffer from lots of obstacles in the context of motor imagery (MI)-based brain-machine interface (BMI) systems. Particularly, it… read more here.

Keywords: motor imagery; upper limb; geometry; multiclass ... See more keywords

multiclassPairs: an R package to train multiclass pair-based classifier

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recommendations! Published in 2021 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btab088

Abstract: Abstract Motivation k–Top Scoring Pairs (kTSP) algorithms utilize in-sample gene expression feature pair rules for class prediction, and have demonstrated excellent performance and robustness. The available packages and tools primarily focus on binary prediction (i.e.… read more here.

Keywords: package; pair; multiclasspairs package; multiclass ... See more keywords