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Marika Kaden

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Katrin Sophie Bohnsack

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Publications

2024
[c51]
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  - conf/biostec/VoigtSKBRV24
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  - https://dblp.org/rec/conf/biostec/VoigtSKBRV24
Julius Voigt, Sascha Saralajew, Marika Kaden, Katrin Sophie Bohnsack, Lynn V. Reuss, Thomas Villmann:
Biologically-Informed Shallow Classification Learning Integrating Pathway Knowledge. BIOSTEC (1) 2024: 357-367
2023
[j19]
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  - journals/ijon/BohnsackVKHV23
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Katrin Sophie Bohnsack, Julius Voigt, Marika Kaden, Florian Heinke, Thomas Villmann:
Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data. Neurocomputing 554: 126632 (2023)
[j18]
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  - journals/tcbb/BohnsackKAV23
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Katrin Sophie Bohnsack, Marika Kaden, Julia Abel, Thomas Villmann:
Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 119-135 (2023)
[c50]
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  - conf/biostec/BohnsackEKV23
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Katrin Sophie Bohnsack, Alexander Engelsberger, Marika Kaden, Thomas Villmann:
Efficient Representation of Biochemical Structures for Supervised and Unsupervised Machine Learning Models Using Multi-Sensoric Embeddings. BIOINFORMATICS 2023: 59-69
2022
[j16]
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  - journals/nca/KadenBWKGBV22
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Marika Kaden, Katrin Sophie Bohnsack, Mirko Weber, Mateusz Kudla, Kaja Gutowska, Jacek Blazewicz, Thomas Villmann:
Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences. Neural Comput. Appl. 34(1): 67-78 (2022)
[c47]
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  - conf/esann/BohnsackKVV22
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Katrin Sophie Bohnsack, Marika Kaden, Julius Voigt, Thomas Villmann:
Efficient classification learning of biochemical structured data by means of relevance weighting for sensoric response features. ESANN 2022
2021
[j14]
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  - journals/entropy/BohnsackKASV21
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Katrin Sophie Bohnsack, Marika Kaden, Julia Abel, Sascha Saralajew, Thomas Villmann:
The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers. Entropy 23(10): 1357 (2021)

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