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M
Marika Kaden
Mittweida University of Applied Sciences
14
H指数
71
论文数
547
被引数
0
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12
发表时间
发表时间
IF
被引数
FA(IR)2MA-GLVQ – A hidden-feature-bias mitigation approach for fairness in classification learning based on generalized matrix learning vector quantization
FA(IR)2MA-GLVQ——一种基于广义矩阵学习向量量化的分类学习中公平性隐藏特征偏差缓解方法
Neurocomputing
IF
6.5
2026-03-02
0
OA
AI
Marika Kaden; Ronny Schubert; Julius Voigt; Lynn Reuss; Alexander Engelsberger; Sofie Lövdal; Elina L. van den Brandhof; Michael Biehl; Thomas Villmann
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Reliable Classification Learning for Medical Data Analysis Using Prototype-Based Models
基于原型模型的医学数据分析可靠分类学习
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2025, PT I
IF
0
2026-01-01
0
PRE
AI
Voigt, Julius; Kaden, Marika; Reussl, Lynn, V; Villmann, Thomas
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Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data
NEUROCOMPUTING
IF
6.5
2023-10-01
2
PRE
AI
Bohnsack, Katrin Sophie; Voigt, Julius; Kaden, Marika; Heinke, Florian; Villmann, Thomas
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Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
IF
3.4
2023-01-01
10
PRE
AI
Bohnsack, Katrin Sophie; Kaden, Marika; Abel, Julia; Villmann, Thomas
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Variants of recurrent learning vector quantization
NEUROCOMPUTING
IF
6.5
2022-09-01
7
PRE
AI
Ravichandran, Jensun; Kaden, Marika; Villmann, Thomas
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Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability
NEUROCOMPUTING
IF
6.5
2020-08-01
9
PRE
AI
Ravichandran, Jensun; Kaden, Marika; Saralajew, Sascha; Villmann, Thomas
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Application of an interpretable classification model on Early Folding Residues during protein folding
BIODATA MINING
IF
6.1
2019-01-05
11
OA
AI
Bittrich, Sebastian; Kaden, Marika; Leberecht, Christoph; Kaiser, Florian; Villmann, Thomas; Labudde, Dirk
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Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning
NEUROCOMPUTING
IF
6.5
2017-12-01
15
PRE
AI
Nebel, D.; Kaden, M.; Villmann, A.; Villmann, T.
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Learning matrix quantization and relevance learning based on Schatten-p-norms
NEUROCOMPUTING
IF
6.5
2016-06-01
4
PRE
AI
Bohnsack, A.; Domaschke, K.; Kaden, M.; Lange, M.; Villmann, T.
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Kernelized vector quantization in gradient-descent learning
NEUROCOMPUTING
IF
6.5
2015-01-01
27
PRE
AI
Villmann, Thomas; Haase, Sven; Kaden, Marika
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Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines
广义学习向量量化中的边界敏感学习: 支持向量机的替代方法
SOFT COMPUTING
IF
2.5
2014-11-20
15
PRE
AI
Kaden, Marika; Riedel, Martin; Hermann, Wieland; Villmann, Thomas
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Lateral enhancement in adaptive metric learning for functional data
NEUROCOMPUTING
IF
6.5
2014-05-01
4
PRE
AI
Villmann, T.; Kaden, M.; Nebel, D.; Riedel, M.
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研究方向
暂时未获取到该数据
合作学者
合作期刊
M
Michael Biehl
H 指数: 47 · 论文数: 434
T
Thomas Villmann
H 指数: 33 · 论文数: 378
D
Dirk Labudde
H 指数: 20 · 论文数: 172
S
Sebastian Bittrich
H 指数: 16 · 论文数: 57
W
W. Hermann
H 指数: 15 · 论文数: 90
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