Search Results - "Kaden, Marika"

Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences.

Authors: Kaden, Marika Bohnsack, Katrin Sophie Weber, Mirko et al.

Source: Neural Computing & Applications; Jan2022, Vol. 34 Issue 1, p67-78, 12p

Quantum-inspired learning vector quantizers for prototype-based classification: Confidential: for personal use only—submitted to Neural Networks and Applications 5/2020.

Authors: Villmann, Thomas Engelsberger, Alexander Ravichandran, Jensun et al.

Source: Neural Computing & Applications; Jan2022, Vol. 34 Issue 1, p79-88, 10p

FA(IR)2MA-GLVQ – A hidden-feature-bias mitigation approach for fairness in classification learning based on generalized matrix learning vector quantization.

Authors: Kaden, Marika Schubert, Ronny Voigt, Julius et al.

Source: Neurocomputing. May2026, Vol. 678, pN.PAG-N.PAG. 1p.

Subjects: Algorithmic bias, Classification, Machine learning, Decision making, Discrimination (Sociology), Data analysis, Vector quantization

Variants of recurrent learning vector quantization.

Authors: Ravichandran, Jensun Kaden, Marika Villmann, Thomas

Source: Neurocomputing. Sep2022, Vol. 502, p27-36. 10p.

Subjects: Vector quantization, Simple machines, Recurrent neural networks

Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability.

Authors: Ravichandran, Jensun Kaden, Marika Saralajew, Sascha et al.

Source: Neurocomputing. Aug2020, Vol. 403, p121-132. 12p.

Subjects: Vector quantization, Support vector machines, Concept mapping, Raman spectroscopy, Remote sensing

The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers.

Authors: Bohnsack, Katrin Sophie Kaden, Marika Abel, Julia et al.

Source: Entropy. Oct2021, Vol. 23 Issue 10, p1357-1357. 1p.

AI-Based Multi Sensor Fusion for Smart Decision Making: A Bi-Functional System for Single Sensor Evaluation in a Classification Task.

Authors: Zoghlami, Feryel Kaden, Marika Villmann, Thomas et al.

Source: Sensors (14248220). Jul2021, Vol. 21 Issue 13, p4405-4405. 1p.

Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines.

Authors: Kaden, Marika Riedel, Martin Hermann, Wieland et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Sep2015, Vol. 19 Issue 9, p2423-2434. 12p.

Subjects: Support vector machines, Euclidean metric, Hilbert space, Prototypes, Mathematical mappings

Application of an interpretable classification model on Early Folding Residues during protein folding.

Authors: Kaden, Marika Villmann, Thomas Labudde, Dirk et al.

Source: BioData Mining. 1/5/2019, Vol. 12 Issue 1, pN.PAG-N.PAG. 1p.

Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data.

Authors: Bohnsack, Katrin Sophie Voigt, Julius Kaden, Marika et al.

Source: Neurocomputing; Oct2023, Vol. 554, pN.PAG-N.PAG, 1p

Kernelized vector quantization in gradient-descent learning.

Authors: Villmann, Thomas Haase, Sven Kaden, Marika

Source: Neurocomputing; Jan2015, Vol. 147, p83-95, 13p

Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters.

Authors: Geweniger, Tina Fischer, Lydia Kaden, Marika et al.

Source: Computational Intelligence & Neuroscience. 2013, p1-10. 10p. 3 Diagrams, 1 Chart.

Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective.

Authors: Bohnsack KS Kaden M Abel J et al.

Source: IEEE/ACM transactions on computational biology and bioinformatics [IEEE/ACM Trans Comput Biol Bioinform] 2023 Jan-Feb; Vol. 20 (1), pp. 119-135. Date of Electronic Publication: 2023 Feb 03.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: IEEE Computer Society Country of Publication: United States NLM ID: 101196755 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-9964 (Electronic) Linking ISSN: 15455963 NLM ISO Abbreviation: IEEE/ACM Trans Comput Biol Bioinform Subsets: MEDLINE