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FA(IR)2MA-GLVQ – A hidden-feature-bias mitigation approach for fairness in classification learning based on generalized matrix learning vector quantization.

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Title: FA(IR)2MA-GLVQ – A hidden-feature-bias mitigation approach for fairness in classification learning based on generalized matrix learning vector quantization.
Authors: Kaden, Marika1, kaden1@hs-mittweida.de, Schubert, Ronny1, Voigt, Julius1, Reuss, Lynn1, Engelsberger, Alexander1, Lövdal, Sofie2,3, van den Brandhof, Elina L.2,4, Biehl, Michael2,5, Villmann, Thomas1,6, villmann@hs-mittweida.de
Source: Neurocomputing; May2026, Vol. 678, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192259359
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: FA(IR)2MA-GLVQ – A hidden-feature-bias mitigation approach for fairness in classification learning based on generalized matrix learning vector quantization.
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  Data: <searchLink fieldCode="AU" term="%22Kaden%2C+Marika%22">Kaden, Marika</searchLink><relatesTo>1</relatesTo>, <i>kaden1@hs-mittweida.de</i><br /><searchLink fieldCode="AU" term="%22Schubert%2C+Ronny%22">Schubert, Ronny</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Voigt%2C+Julius%22">Voigt, Julius</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Reuss%2C+Lynn%22">Reuss, Lynn</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Engelsberger%2C+Alexander%22">Engelsberger, Alexander</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lövdal%2C+Sofie%22">Lövdal, Sofie</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22van+den+Brandhof%2C+Elina+L%2E%22">van den Brandhof, Elina L.</searchLink><relatesTo>2,4</relatesTo><br /><searchLink fieldCode="AU" term="%22Biehl%2C+Michael%22">Biehl, Michael</searchLink><relatesTo>2,5</relatesTo><br /><searchLink fieldCode="AU" term="%22Villmann%2C+Thomas%22">Villmann, Thomas</searchLink><relatesTo>1,6</relatesTo>, <i>villmann@hs-mittweida.de</i>
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  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>; May2026, Vol. 678, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192259359
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      – Type: doi
        Value: 10.1016/j.neucom.2026.133200
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      – Code: eng
        Text: English
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      – TitleFull: FA(IR)2MA-GLVQ – A hidden-feature-bias mitigation approach for fairness in classification learning based on generalized matrix learning vector quantization.
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              Text: May2026
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              Y: 2026
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              Value: 678
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