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Mandy Lange

Observed names: Lange-Geisler, Mandy, M. Lange, M. Lange-Geisler, Mandy Lange-Geisler
Observed institution: Hochschule Mittweida
OpenAlex ID: A5074111890
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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Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector
2014 · Mandy Lange, Dietlind Zühlke, et al. · 45
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
Non-Euclidean principal component analysis by Hebbian learning
2014 · Mandy Lange, Michael Biehl, et al. · Neurocomputing · 16
Non-Euclidean Principal Component Analysis and Oja’s Learning Rule – Theoretical Aspects
2012 · Michael Biehl, Marika Kästner, et al. · Advances in intelligent systems and computing · 9
Learning matrix quantization and relevance learning based on Schatten-p-norms
2016 · A. Bohnsack, K. Domaschke, et al. · Neurocomputing · 8
Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters
2013 · Tina Geweniger, Lydia Fischer, et al. · Computational Intelligence and Neuroscience · 6
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Non-euclidean Principal Component Analysis for Matrices by Hebbian Learning
2014 · Mandy Lange, David Nebel, et al. · Lecture notes in computer science · 5
Partial Mutual Information for Classification of Gene Expression Data by Learning Vector Quantization
2014 · Mandy Lange, David Nebel, et al. · Advances in intelligent systems and computing · 4
Fuzzy Neural Gas for Unsupervised Vector Quantization
2012 · Thomas Villmann, Tina Geweniger, et al. · Lecture notes in computer science · 4
Modified Conn-Index for the evaluation of fuzzy clusterings.
2012 · Tina Geweniger, Marika Kästner, et al. · The European Symposium on Artificial Neural Networks · 3
Towards Learning Vector Quantization in the Setting of Homomorphic Encryption
2025 · Thomas Davies, Ronny Schubert, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) · 2
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Learning Matrix Quantization and Variants of Relevance Learning
2015 · Kristin Domaschke, Marika Kaden, et al. · The European Symposium on Artificial Neural Networks · 2
Advances in Self-Organizing Maps and Learning Vector Quantization: Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany
2014 · Thomas Villmann, Frank-Michael Schleif, et al. · Springer eBooks · 2
Non-Euclidean Independent Component Analysis and Oja's Learning
2013 · Mandy Lange, Michael Biehl, et al. · 2
Privacy-preserving nearest prototype classifier
2026 · Ronny Schubert, Thomas Davies, et al. · Neurocomputing · 1
Learning of Probability Estimates for System and Network Reliability Analysis by Means of Matrix Learning Vector Quantization
2025 · Mandy Lange-Geisler, Klaus Dohmen, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) · 1
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Hebbian learning approaches based on general inner products and distance measures in non-Euclidean spaces
2019 · Mandy Lange · University of Groningen research database (University of Groningen / Centre for Information Technology) · 1
Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms
2015 · Andrea Bohnsack, Kristin Domaschke, et al. · Lecture notes in computer science · 1
About analysis and robust classification of searchlight fMRI-data using machine learning classifiers
2013 · M. Lange, M. Kastner, et al. · International Joint Conference on Neural Networks (IJCNN) · 1
Network reliability analysis by means of generalized matrix learning vector quantization
2026 · Klaus Dohmen, Mandy Lange-Geisler, et al. · Applied Network Science
How Mathematics Keeps Our Data Safe: The RSA Cryptosystem for Regular Numbers
2026 · Lange-Geisler, Mandy, Dohmen, Klaus · MOnAMi (Hochschule Mittweida Hochschulbibliothek)
Domination Reliability Analysis Based on Graph Features Using Generalized Matrix LVQ
2026 · Mandy Lange-Geisler, Klaus Dohmen, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)
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Knowledge Integration in Vector Quantization Models and Corresponding Structured Covariance Estimation
2024 · M. Kaden, J. Voigt, et al. · Lecture notes in networks and systems
Multidimensional Bayes Classifier Based on Tree-Structured Gaussian Mixtures
2010 · Novikov A. Nikita, Mandy Lange
Works count: 26
Citation count: 189
H-index: 6
I10-index: 4
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