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M

Marika Kaden

Mittweida University of Applied Sciences

14H-index
71Paper Count
547Citation Count
Published Papers 12
Publication Date
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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
errNeurocomputing
IF6.5
err2026-03-02
err0
errOAAI
errMarika Kaden; Ronny Schubert; Julius Voigt; Lynn Reuss; Alexander Engelsberger; Sofie Lövdal; Elina L. van den Brandhof; Michael Biehl; Thomas Villmann
errShare
errSave
Reliable Classification Learning for Medical Data Analysis Using Prototype-Based Models
errARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2025, PT I
IF0
err2026-01-01
err0
PREAI
errVoigt, Julius; Kaden, Marika; Reussl, Lynn, V; Villmann, Thomas
errShare
errSave
Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data
errNEUROCOMPUTING
IF6.5
err2023-10-01
err2
PREAI
errBohnsack, Katrin Sophie; Voigt, Julius; Kaden, Marika; Heinke, Florian; Villmann, Thomas
errShare
errSave
Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective
errIEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
IF3.4
err2023-01-01
err10
PREAI
errBohnsack, Katrin Sophie; Kaden, Marika; Abel, Julia; Villmann, Thomas
errShare
errSave
Variants of recurrent learning vector quantization
errNEUROCOMPUTING
IF6.5
err2022-09-01
err7
PREAI
errRavichandran, Jensun; Kaden, Marika; Villmann, Thomas
errShare
errSave
Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability
errNEUROCOMPUTING
IF6.5
err2020-08-01
err9
PREAI
errRavichandran, Jensun; Kaden, Marika; Saralajew, Sascha; Villmann, Thomas
errShare
errSave
Application of an interpretable classification model on Early Folding Residues during protein folding
errBIODATA MINING
IF6.1
err2019-01-05
err11
errOAAI
errBittrich, Sebastian; Kaden, Marika; Leberecht, Christoph; Kaiser, Florian; Villmann, Thomas; Labudde, Dirk
errShare
errSave
Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning
errNEUROCOMPUTING
IF6.5
err2017-12-01
err15
PREAI
errNebel, D.; Kaden, M.; Villmann, A.; Villmann, T.
errShare
errSave
Learning matrix quantization and relevance learning based on Schatten-p-norms
errNEUROCOMPUTING
IF6.5
err2016-06-01
err4
PREAI
errBohnsack, A.; Domaschke, K.; Kaden, M.; Lange, M.; Villmann, T.
errShare
errSave
Kernelized vector quantization in gradient-descent learning
errNEUROCOMPUTING
IF6.5
err2015-01-01
err27
PREAI
errVillmann, Thomas; Haase, Sven; Kaden, Marika
errShare
errSave
Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines
errSOFT COMPUTING
IF2.5
err2014-11-20
err15
PREAI
errKaden, Marika; Riedel, Martin; Hermann, Wieland; Villmann, Thomas
errShare
errSave
Lateral enhancement in adaptive metric learning for functional data
errNEUROCOMPUTING
IF6.5
err2014-05-01
err4
PREAI
errVillmann, T.; Kaden, M.; Nebel, D.; Riedel, M.
errShare
errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
M
Michael Biehl
H-index: 47 · Papers: 434
T
Thomas Villmann
H-index: 33 · Papers: 378
D
Dirk Labudde
H-index: 20 · Papers: 171
S
Sebastian Bittrich
H-index: 16 · Papers: 55
W
W. Hermann
H-index: 15 · Papers: 90
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