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Author

Ronny Schubert

Observed name: Schubert, Ronny
ORCID: 0009-0001-5157-4392
Observed ORCID: 0009-0001-5157-4392
OpenAlex ID: A5000714571
Prototype-based One-Class-Classification Learning Using Local Representations
2022 · Daniel Staps, Ronny Schubert, et al. · International Joint Conference on Neural Networks (IJCNN) · 6
Steps Forward to Quantum Learning Vector Quantization for Classification Learning on a Theoretical Quantum Computer
2022 · Alexander Engelsberger, Ronny Schubert, et al. · Lecture notes in networks and systems · 5
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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The LVQ-based Counter Propagation Network -- an Interpretable Information Bottleneck Approach
2021 · Marika Kaden, Ronny Schubert, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) · 2
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Privacy-preserving nearest prototype classifier
2026 · Ronny Schubert, Thomas Davies, et al. · Neurocomputing · 1
Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach -- FA(IR)$^2$MA-GLVQ
2025 · Marika Kaden, Alexander Engelsberger, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) · 1
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Variants of Neural Gas for Regression Learning
2023 · Thomas Villmann, Ronny Schubert, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) · 1
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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
2026 · Marika Kaden, Ronny Schubert, et al. · Neurocomputing
Reliable Counterfactuals for Machine Learning Models - Current Aspects and Perspectives
2026 · Marika Kaden, Benjamin Paassen, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)
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Integrating Class Relation Knowledge in Probabilistic Learning Vector Quantization
2025 · Marika Kaden, Ronny Schubert, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)
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About Interpretable Learning Rules for Vector Quantizers - A Methodological Approach
2024 · Ronny Schubert, Thomas Villmann · Lecture notes in networks and systems
About Vector Quantization and its Privacy in Federated Learning
2024 · Ronny Schubert, Thomas Villmann · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)
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Konstruktion und Berechnung eines Überrollsystems für ein luftverladbares Militärfahrzeug
2006 · Schubert, Ronny · LIBDOC - Westsächsische Hochschule Zwickau
Works count: 13
Citation count: 18
H-index: 2
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