Search Results - "Kaden, Marika"

AI-Based Multi Sensor Fusion for Smart Decision Making: A Bi-Functional System for Single Sensor Evaluation in a Classification Task by Zoghlami, Feryel, Kaden, Marika, Villmann, Thomas, Schneider, Germar, Heinrich, Harald

“…Sensor fusion has gained a great deal of attention in recent years. It is used as an application tool in many different fields, especially the semiconductor,…”
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Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences by Kaden, Marika, Bohnsack, Katrin Sophie, Weber, Mirko, Kudła, Mateusz, Gutowska, Kaja, Blazewicz, Jacek, Villmann, Thomas

“…We present an approach to discriminate SARS-CoV-2 virus types based on their RNA sequence descriptions avoiding a sequence alignment. For that purpose,…”
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The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers by Bohnsack, Katrin Sophie, Kaden, Marika, Abel, Julia, Saralajew, Sascha, Villmann, Thomas

“…In the present article we propose the application of variants of the mutual information function as characteristic fingerprints of biomolecular sequences for…”
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Application of an interpretable classification model on Early Folding Residues during protein folding by Bittrich, Sebastian, Kaden, Marika, Leberecht, Christoph, Kaiser, Florian, Villmann, Thomas, Labudde, Dirk

“…Machine learning strategies are prominent tools for data analysis. Especially in life sciences, they have become increasingly important to handle the growing…”
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Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters by Lange, Mandy, Fischer, Lydia, Kaden, Marika, Villmann, Thomas, Geweniger, Tina

“…We consider some modifications of the neural gas algorithm. First, fuzzy assignments as known from fuzzy c-means and neighborhood cooperativeness as known from…”
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Variants of recurrent learning vector quantization by Ravichandran, Jensun, Kaden, Marika, Villmann, Thomas

“…Learning Vector Quantization (LVQ) and its cost-function-based variant called Generalized Learning Vector Quantization (GLVQ) are powerful, yet simple and…”
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Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective by Bohnsack, Katrin Sophie, Kaden, Marika, Abel, Julia, Villmann, Thomas

“…The encounter of large amounts of biological sequence data generated during the last decades and the algorithmic and hardware improvements have offered the…”
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Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability by Ravichandran, Jensun, Kaden, Marika, Saralajew, Sascha, Villmann, Thomas

“…Dropout and DropConnect are useful methods to prevent multilayer neural networks from overfitting. In addition, it turns out that these tools can also be used…”
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Kernelized vector quantization in gradient-descent learning by Villmann, Thomas, Haase, Sven, Kaden, Marika

“…Prototype based vector quantization is usually proceeded in the Euclidean data space. In the last years, also non-standard metrics became popular. For…”
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Quantum-inspired learning vector quantizers for prototype-based classification: Confidential: for personal use only—submitted to Neural Networks and Applications 5/2020 by Villmann, Thomas, Engelsberger, Alexander, Ravichandran, Jensun, Villmann, Andrea, Kaden, Marika

“…Prototype-based models like the Generalized Learning Vector Quantization (GLVQ) belong to the class of interpretable classifiers. Moreover, quantum-inspired…”
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Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data by Bohnsack, Katrin Sophie, Voigt, Julius, Kaden, Marika, Heinke, Florian, Villmann, Thomas

“…In this paper, we propose a data embedding technique for structured data that allows for the direct application of standard vector-based machine learning…”
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Quantum-inspired learning vector quantizers for prototype-based classification by Villmann, Thomas, Engelsberger Alexander, Ravichandran Jensun, Villmann Andrea, Kaden Marika

“…Prototype-based models like the Generalized Learning Vector Quantization (GLVQ) belong to the class of interpretable classifiers. Moreover, quantum-inspired…”
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Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines by Kaden, Marika, Riedel, Martin, Hermann, Wieland, Villmann, Thomas

“…Learning vector quantization (LVQ) algorithms as powerful classifier models for class discrimination of vectorial data belong to the family of prototype-based…”
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Kernelized vector quantization in gradient-descent learning : Advances in Self-Organizing Maps by VILLMANN, Thomas, HAASE, Sven, KADEN, Marika

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Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder by Staps, Daniel, Kaden, Marika, Auth, Jan, Zaussinger, Florian, Villmann, Thomas

“…We consider the so-called symmetric structural auto-encoder (SyS-AE) for image reconstruction preserving the perceptual properties to be kept in the decoded…”
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Prototype-based One-Class-Classification Learning Using Local Representations by Staps, Daniel, Schubert, Ronny, Kaden, Marika, Lampe, Alexander, Hermann, Wieland, Villmann, Thomas

“…One-class-classification remains an important problem in machine learning, which is related to data representation and outlier detection, but different from…”
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Sensors data fusion for smart decisions making: A novel bi-functional system for the evaluation of sensors contribution in classification problems by Zoghlami, Feryel, Kaden, Marika, Villmann, Thomas, Schneider, Germar, Heinrich, Harald

“…Sensor fusion has gained a lot of attention during the recent years. It is used as an application tool in different fields including semiconductor-,…”
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Activation Functions for Generalized Learning Vector Quantization - A Performance Comparison by Villmann, Thomas, Ravichandran, John, Villmann, Andrea, Nebel, David, Kaden, Marika

“…An appropriate choice of the activation function (like ReLU, sigmoid or swish) plays an important role in the performance of (deep) multilayer perceptrons…”
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Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems by Villmann, Thomas, Kaden, Marika, Lange, Mandy, Sturmer, Paul, Hermann, Wieland

“…Classification and decision systems in data analysis are mostly based on accuracy optimization. This criterion is only a conditional informative value if the…”
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