Extraction of optimal control patterns in industrial batch processes based on Support Vector Machines. - Christian Kühnert; Thomas Bernard (CCA/ISIC, 2009)

Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen. - Christian Kühnert; Lutz Gröll; Michael Heizmann; Markus Reischl; Ralf Mikut (Autom., 2012)

Data-driven Methods for Fault Localization in Process Technology. - Christian Kühnert (KIT Scientific Publishing, 2013)

A Generic Data Fusion and Analysis Platform for Cyber-Physical Systems. - Christian Kühnert; Idel Montalvo Arango (ML4CPS, 2016)

A Modular Architecture for Smart Data Analysis using AutomationML, OPC-UA and Data-driven Algorithms. - Christian Kühnert; Miriam Schleipen; Michael Okon; Robert Henßen; Tino Bischoff (ML4CPS, 2016)

Web-based Machine Learning Platform for Condition- Monitoring. - Thomas Bernard; Christian Kühnert; Enrique Campbell (ML4CPS, 2018)

Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality. - Christian Kühnert; Christian Frey; Ruben Seyboldt (ML4CPS, 2018)

GPU GEMM-Kernel Autotuning for scalable machine learners. - Johannes Sailer; Christian Frey; Christian Kühnert (ML4CPS, 2018)

Product Quality Prediction in Batch Processes with Small Sample Sizes Using Siamese Networks. - Christian Kühnert; Johannes Sailer; Patrick Weiß (ERCIM News, 2019)

The DigitalTwin from an Artificial Intelligence Perspective. - Oliver Niggemann; Alexander Diedrich; Christian Kühnert; Erik Pfannstiel; Joshua Schraven (CoRR, 2020)

A Generic DigitalTwin Model for Artificial Intelligence Applications. - Oliver Niggemann; Alexander Diedrich; Christian Kühnert; Erik Pfannstiel; Joshua Schraven (ICPS, 2021)