Search Results - "VILLMANN, Thomas"

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

Prototype-Based Classifiers and Vector Quantization on a Quantum Computer—Implementing Integer Arithmetic Oracles for Nearest Prototype Search.

Authors: Engelsberger, Alexander Pšeničkova, Magdalena Villmann, Thomas

Source: Entropy. Feb2026, Vol. 28 Issue 2, p229. 18p.

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

Quantum Computing Approaches for Vector Quantization—Current Perspectives and Developments.

Authors: Engelsberger, Alexander Villmann, Thomas

Source: Entropy. Mar2023, Vol. 25 Issue 3, p540. 22p.

Privacy-preserving nearest prototype classifier.

Authors: Schubert, Ronny Davies, Thomas Lange-Geisler, Mandy et al.

Source: Neurocomputing; Mar2026, Vol. 671, pN.PAG-N.PAG, 1p

Variants of recurrent learning vector quantization.

Authors: Ravichandran, Jensun Kaden, Marika Villmann, Thomas

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

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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

Data-distribution-informed Nyström approximation for structured data using vector quantization-based landmark determination.

Authors: Münch, Maximilian Bohnsack, Katrin Sophie Schleif, Frank-Michael et al.

Source: Neurocomputing; Sep2024, Vol. 596, pN.PAG-N.PAG, 1p

Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints.

Authors: Simmuteit, Stephan Schleif, Frank-Michael Villmann, Thomas et al.

Source: Knowledge & Information Systems; Nov2010, Vol. 25 Issue 2, p327-343, 17p, 2 Diagrams, 6 Charts

Instability and discontinuous change in the experience of therapeutic interaction: An extended single-case study of psychodynamic therapy processes.

Authors: Gumz, Antje Kästner, Denise Geyer, Michael et al.

Source: Psychotherapy Research. Jul2010, Vol. 20 Issue 4, p398-412. 15p. 2 Charts, 3 Graphs.

Classification of mass - spectrometric data in clinical proteomics using learning vector quantization methods.

Authors: Villmann, Thomas Schleif, Frank-Michael Kostrzewa, Markus et al.

Source: Briefings in Bioinformatics. Mar2008, Vol. 9 Issue 2, p129-143. 15p. 7 Diagrams, 2 Charts.

Magnification Control in Self-Organizing Maps and Neural Gas.

Authors: Villmann, Thomas Claussen, Jens Christian

Source: Neural Computation. Feb2006, Vol. 18 Issue 2, p446-469. 24p.

Subjects: Self-organizing maps, Artificial neural networks, Self-organizing systems, Learning, Algorithms

Evolutionary algorithms using a neural network like migration scheme.

Authors: Villmann, Thomas

Source: Integrated Computer-Aided Engineering; 2002, Vol. 9 Issue 1, p25, 11p

Subspace corrected relevance learning with application in neuroimaging.

Authors: van Veen, Rick Tamboli, Neha Rajendra Bari Lövdal, Sofie et al.

Source: Artificial Intelligence in Medicine; Mar2024, Vol. 149, 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

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.

Recording of dissimulation and denial in the context of the psychosomatic evaluation at living kidney transplantation using the Minnesota Multiphasic Personality Inventory (MMPI).

Alternate Title: Erfassung von Dissimulation und Verleugnung im Rahmen der psychosomatischen Evaluierung bei Lebendnierentransplantation unter Verwendung des Minnesota Multiphasic Personality Inventory (MMPI).

Authors: Wutzler, Uwe Venner, Margit Villmann, Thomas et al.

Source: GMS Psycho-Social-Medicine. 2009, Vol. 6, p1-11. 11p. 4 Charts, 3 Graphs.

Fine motor skills disorders in the course of Wilson's disease.

Authors: Günther, Peter Albrecht Kühn, Hans-Juergen Villmann, Thomas et al.

Source: Annals of Indian Academy of Neurology. Jan-Mar2009, Vol. 12 Issue 1, p28-34. 7p. 2 Black and White Photographs, 3 Charts, 1 Map.