Using Reinforcement Learning for Optimization of a Workpiece Clamping Position in a Machine Tool. - Vladimir Samsonov; Chrismarie Enslin; Hans-Georg Köpken; Schirin Baer; Daniel Lütticke (ICEIS (1), 2020)

Optimisation of a Workpiece Clamping Position with Reinforcement Learning for Complex Milling Applications. - Chrismarie Enslin; Vladimir Samsonov; Hans-Georg Köpken; Schirin Bär; Daniel Lütticke (LOD, 2021)

Controlled Synthesis of Fibre-reinforced Plastics Images from Segmentation Maps using Generative Adversarial Neural Networks. - Nicolas Schaaf; Hans Aoyang Zhou; Chrismarie Enslin; Florian Brillowski; Daniel Lütticke (ICAART (3), 2022)

A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series. - Zhipeng Ma; Marco Kemmerling; Daniel Buschmann; Chrismarie Enslin; Daniel Lütticke; Robert H. Schmitt (Symmetry, 2023)