Katrin Sophie Bohnsack
Orcid: 0000-0002-2361-107X
According to our database1,
Katrin Sophie Bohnsack
authored at least 10 papers
between 2021 and 2024.
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Bibliography
2024
Knowledge Integration in Vector Quantization Models and Corresponding Structured Covariance Estimation.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond, 2024
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data.
Neurocomputing, October, 2023
Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Efficient Representation of Biochemical Structures for Supervised and Unsupervised Machine Learning Models Using Multi-Sensoric Embeddings.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
2022
Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences.
Neural Comput. Appl., 2022
Efficient classification learning of biochemical structured data by means of relevance weighting for sensoric response features.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2021
The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers.
Entropy, 2021