Ein Prototyp für ein integriertes Fuzzy-Neuro System. - Werner Hauptmann; Kai Heesche (Fuzzy Days, 1994)

A Neuro-Fuzzy Approach for the Sensor-Based Driving Situation Identification. - Werner Hauptmann; F. Graf; Kai Heesche (ICONIP (2), 1997)

Nonlinear set-theoretic position estimation of cellular phones. - Joachim Horn; Uwe D. Hanebeck; K. Riegel; Kai Heesche; Werner Hauptmann (ECC, 2003)

Interpretable ensembles of local models for safety-related applications. - Sebastian Nusser; Clemens Otte; Werner Hauptmann (ESANN, 2008)

Multi-Class Extension of Verifiable Ensemble Models for Safety-Related Applications. - Sebastian Nusser; Clemens Otte; Werner Hauptmann (GfKl, 2008)

An EM-Based Piecewise Linear Regression Algorithm. - Sebastian Nusser; Clemens Otte; Werner Hauptmann (HAIS, 2008)

Ensemble Learning for Multi-source Information Fusion. - Jörg Beyer; Kai Heesche; Werner Hauptmann; Clemens Otte; Rudolf Kruse (ECSQARU, 2009)

Heterogeneous mixture-of-experts for fusion of locally valid knowledge-based submodels. - Jörg Beyer; Kai Heesche; Werner Hauptmann; Clemens Otte (ESANN, 2009)

Maschinelles Lernen von validierbaren Klassifikatoren zur autonomen Steuerung sicherheitsrelevanter Systeme (Machine Learning of Verifiable Classifiers for Autonomous Control of Safety-related Systems). - Sebastian Nusser; Clemens Otte; Werner Hauptmann; Oskar Leirich; Manfred Krätschmer; Rudolf Kruse (Autom., 2009)

Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs. - Sebastian Nusser; Clemens Otte; Werner Hauptmann (Applications of Supervised and Unsupervised Ensemble Methods, 2009)

Ensemble Learning for Multi-source Information Fusion. - Jörg Beyer; Kai Heesche; Werner Hauptmann; Clemens Otte; Rudolf Kruse (Intelligent Autonomous Systems, 2010)

Workshop Summary: Quantum Machine Learning. - Volker Tresp; Steffen Udluft; Daniel Hein 001; Werner Hauptmann; Martin Leib; Christopher Mutschler; Daniel D. Scherer; Wolfgang Mauerer (QCE, 2023)