Thomas Villmann - Publications, H-index & Citations

Thomas Villmann

Mittweida University of Applied Sciences

33H指数

378论文数

5.2K被引数

收录论文 50

发表时间

FA(IR)2MA-GLVQ – A hidden-feature-bias mitigation approach for fairness in classification learning based on generalized matrix learning vector quantization FA(IR)2MA-GLVQ——一种基于广义矩阵学习向量量化的分类学习中公平性隐藏特征偏差缓解方法

Neurocomputing

IF6.5

2026-03-02

OAAI

Marika Kaden; Ronny Schubert; Julius Voigt; Lynn Reuss; Alexander Engelsberger; Sofie Lövdal; Elina L. van den Brandhof; Michael Biehl; Thomas Villmann

Prototype-Based Classifiers and Vector Quantization on a Quantum Computer-Implementing Integer Arithmetic Oracles for Nearest Prototype Search 基于原型的分类器与向量量化在量子计算机上——实现整数算术预言机用于最近原型搜索

Entropy

IF2

2026-02-16

OAAI

Engelsberger, Alexander; Psenickova, Magdalena; Villmann, Thomas

Privacy-preserving nearest prototype classifier 隐私保护最近原型分类器

Neurocomputing

IF6.5

2026-01-10

PREAI

Ronny Schubert; Thomas Davies; Mandy Lange-Geisler; Klaus Dohmen; Thomas Villmann

Prototype Learning for Classification on Spherical Manifolds and Its Relation to Quantum Classification Approaches 球面流形上分类的模型学习及其与量子分类方法的关系

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2025, PT I

IF0

2026-01-01

PREAI

Engelsberger, Alexander; Psenickova, Magda; Villmann, Thomas

Reliable Classification Learning for Medical Data Analysis Using Prototype-Based Models 基于原型模型的医学数据分析可靠分类学习

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2025, PT I

IF0

2026-01-01

PREAI

Voigt, Julius; Kaden, Marika; Reussl, Lynn, V; Villmann, Thomas

Development of a questionnaire to assess the effective factors of communicative movement therapy: IP-Kom62 and IP-Kom22 开发用于评估交际运动疗法有效因素的问卷：IP-Kom62和IP-Kom22

PSYCHOTHERAPIE PSYCHOSOMATIK MEDIZINISCHE PSYCHOLOGIE

IF0.8

2025-10-01

PREAI

Wutzler, Uwe; Endler, Pauline; Brith, Ulrike; Heine, Jessica; Rezmer, Daniel; Seebeck, Vera; Toegel, Anette; Wilda-Kiesel, Anita; Villmann, Thomas

Aligning generalization between humans and machines 实现人类与机器之间的泛化对齐

Nature Machine Intelligence

IF23.9

2025-09-15

PREAI

Filip Ilievski; Barbara Hammer; Frank van Harmelen; Benjamin Paassen; Sascha Saralajew; Ute Schmid; Michael Biehl; Marianna Bolognesi; Xin Luna Dong; Kiril Gashteovski; Pascal Hitzler; Giuseppe Marra; Pasquale Minervini; Martin Mundt; Axel-Cyrille Ngonga Ngomo; Alessandro Oltramari; Gabriella Pasi; Zeynep G. Saribatur; Luciano Serafini; John Shawe-Taylor; Vered Shwartz; Gabriella Skitalinskaya; Clemens Stachl; Gido M. van de Ven; Thomas Villmann

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

NEUROCOMPUTING

IF6.5

2024-09-01

OAAI

Muench, Maximilian; Bohnsack, Katrin Sophie; Schleif, Frank-Michael; Villmann, Thomas

Subspace corrected relevance learning with application in neuroimaging

ARTIFICIAL INTELLIGENCE IN MEDICINE

IF6.2

2024-03-01

OAAI

van Veen, Rick; Tamboli, Neha Rajendra Bari; Lovdal, Sofie; Meles, Sanne K.; Renken, Remco J.; de Vries, Gert-Jan; Arnaldi, Dario; Morbelli, Silvia; Clavero, Pedro; Obesoj, Jose A.; Oroz, Maria C. Rodriguez; Leenders, Klaus L.; Villmann, Thomas; Biehl, Michael

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

NEUROCOMPUTING

IF6.5

2023-10-01

PREAI

Bohnsack, Katrin Sophie; Voigt, Julius; Kaden, Marika; Heinke, Florian; Villmann, Thomas

The coming of age of interpretable and explainable machine learning models 可解释和可解释的机器学习模型时代的到来

NEUROCOMPUTING

IF6.5

2023-05-01

OAAI

Lisboa, P. J. G.; Saralajew, S.; Vellido, A.; Fernandez-Domenech, R.; Villmann, T.