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

Exploring Volatile Precursors: Synthesis, Characterization and Thermal Properties of Thulium Fluoroacetylacetonate Complexes.

Authors: Fuhrmann, Daniel Kaden, Kristin Kandler, Marika et al.

Source: Crystals (2073-4352); Oct2023, Vol. 13 Issue 10, p1467, 18p

Variants of recurrent learning vector quantization.

Authors: Ravichandran, Jensun Kaden, Marika Villmann, Thomas

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

Acknowledgment to the Reviewers of Entropy in 2022.

Source: Entropy. Feb2023, Vol. 25 Issue 2, p195. 35p.

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

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

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.

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.

Acknowledgment to Reviewers of Diagnostics in 2020.

Source: Diagnostics (2075-4418). Feb2021, Vol. 11 Issue 2, p148-148. 1p.