Marika Kaden - Concepedia

Author

Marika Kaden

Hochschule Mittweida ORCID

Also Known As

Kaden, Marika, M. Kaden, Marika Kaden

Publications

542

Citations

H-Index

Concepts

All Affiliations

Hochschule Mittweida Paracelsus-Kliniken University of Groningen

About

Marika Kaden is an author at Hochschule Mittweida specializing in pattern recognition, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	291
2	Computer Science	9	9	250
3	Data Science	6	6	198
4	Medicine	1	1	32
5	Health Informatics	1	1	14

Marika Kaden

Publications

362

Citations

H-Index

Page 1

	Year	Citations
Can Learning Vector Quantization be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning Thomas Villmann, Andrea Bohnsack, Marika Kaden Journal of Artificial Intelligence and Soft Computing Research EngineeringMachine LearningMachine Learning ToolLvq ModelsGlvq Variants	2016	56
Aspects in Classification Learning - Review of Recent Developments in Learning Vector Quantization Marika Kaden, Mandy Lange, David Nebel, Foundations of Computing and Decision Sciences EngineeringMachine LearningSupport Vector MachineClassification MethodImage Analysis	2014	54
Kernelized vector quantization in gradient-descent learning Thomas Villmann, Sven Haase, Marika Kaden Neurocomputing Kernelized Vector QuantizationEngineeringMachine LearningPattern RecognitionReproducing Kernel Method	2014	41
Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective Katrin Sophie Bohnsack, Marika Kaden, Julia Abel, IEEE/ACM Transactions on Computational Biology and Bioinformatics Alignment-free Sequence ComparisonMachine LearningEngineeringComparative Sequence AnalysisGenomics	2022	32
Application of an interpretable classification model on Early Folding Residues during protein folding Sebastian Bittrich, Marika Kaden, Christoph Leberecht, BioData Mining	2019	30
Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning David Nebel, Marika Kaden, Andrea Villmann, Neurocomputing Improved Classification LearningData ClassificationInstance-based LearningClassification MethodEngineering	2017	24
Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines Marika Kaden, Martin Riedel, W. Hermann, Soft Computing Support Vector MachineImage AnalysisMachine LearningEngineeringComputational Learning Theory	2014	23
Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability Jensun Ravichandran, Marika Kaden, Sascha Saralajew, Neurocomputing Data ClassificationClassification MethodEngineeringMachine LearningData Science	2020	18
Quantum-inspired learning vector quantizers for prototype-based classification Thomas Villmann, Alexander Engelsberger, Jensun Ravichandran, Neural Computing and Applications Quantum SoftwareMachine LearningQuantum System SoftwareEngineeringQuantum Applications	2020	17
Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences Marika Kaden, Katrin Sophie Bohnsack, Mirko Weber, Neural Computing and Applications	2021	17

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