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Author

Marika Kaden

Observed names: Kaden, Marika, M. Kaden
Observed institution: Hochschule Mittweida
ORCID: 0000-0002-2849-3463
Observed ORCID: 0000-0002-2849-3463
OpenAlex ID: A5084823973
Can Learning Vector Quantization be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning
2016 · Thomas Villmann, Andrea Bohnsack, et al. · Journal of Artificial Intelligence and Soft Computing Research · 59
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Aspects in Classification Learning - Review of Recent Developments in Learning Vector Quantization
2014 · M. Kaden, M. Lange, et al. · Foundations of Computing and Decision Sciences · 56
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Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective
2022 · Katrin Sophie Bohnsack, Marika Kaden, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 48
Kernelized vector quantization in gradient-descent learning
2014 · Thomas Villmann, Sven Haase, et al. · Neurocomputing · 41
Application of an interpretable classification model on Early Folding Residues during protein folding
2019 · Sebastian Bittrich, Marika Kaden, et al. · BioData Mining · 31
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Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning
2017 · D. Nebel, M. Kaden, et al. · Neurocomputing · 27
Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines
2014 · Marika Kaden, Martin Riedel, et al. · Soft Computing · 24
Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems
2014 · Thomas Villmann, Marika Kaden, et al. · IEEE Symposium on Computational Intelligence and Data Mining (CIDM) · 20
Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability
2020 · Jensun Ravichandran, Marika Kaden, et al. · Neurocomputing · 18
Self-Adjusting Reject Options in Prototype Based Classification
2016 · T. Villmann, M. Kaden, et al. · Advances in intelligent systems and computing · 18
Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences
2021 · Marika Kaden, Katrin Sophie Bohnsack, et al. · Neural Computing and Applications · 17
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Quantum-inspired learning vector quantizers for prototype-based classification
2020 · Thomas Villmann, Alexander Engelsberger, et al. · Neural Computing and Applications · 17
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Investigation of Activation Functions for Generalized Learning Vector Quantization
2019 · Thomas Villmann, Jensun Ravichandran, et al. · Advances in intelligent systems and computing · 17
Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning
2018 · Andrea Villmann, Marika Kaden, et al. · Lecture notes in computer science · 15
AI-Based Multi Sensor Fusion for Smart Decision Making: A Bi-Functional System for Single Sensor Evaluation in a Classification Task
2021 · Feryel Zoghlami, Marika Kaden, et al. · Sensors · 14
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Learning vector quantization classifiers for ROC-optimization
2016 · T. Villmann, M. Kaden, et al. · Computational Statistics · 12
Variants of recurrent learning vector quantization
2022 · Jensun Ravichandran, Marika Kaden, et al. · Neurocomputing · 10
Learning vector quantization and relevances in complex coefficient space
2019 · M. Straat, M. Kaden, et al. · Neural Computing and Applications · 10
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Optimization of General Statistical Accuracy Measures for Classification Based on Learning Vector Quantization.
2014 · Marika Kaden, W. Hermann, et al. · 9
Learning matrix quantization and relevance learning based on Schatten-p-norms
2016 · A. Bohnsack, K. Domaschke, et al. · Neurocomputing · 8
Complex Variants of GLVQ Based on Wirtinger’s Calculus
2016 · Matthias Gay, Marika Kaden, et al. · Advances in intelligent systems and computing · 8
Learning Vector Quantization with Adaptive Cost-Based Outlier-Rejection
2015 · Thomas Villmann, Marika Kaden, et al. · Lecture notes in computer science · 8
The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers
2021 · Katrin Sophie Bohnsack, Marika Kaden, et al. · Entropy · 7
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Prototype-based One-Class-Classification Learning Using Local Representations
2022 · Daniel Staps, Ronny Schubert, et al. · International Joint Conference on Neural Networks (IJCNN) · 6
A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation
2022 · Thomas Villmann, Daniel Staps, et al. · Lecture notes in computer science · 6
Works count: 79
Citation count: 594
H-index: 14
I10-index: 18
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