On Using Gated Recurrent Units for Nonlinear System Identification. - Alexander Rehmer; Andreas Kroll (ECC, 2019)

An internal dynamics approach to predicting batch-end product quality in plastic injection molding using Recurrent Neural Networks. - Alexander Rehmer; Marco Klute; Andreas Kroll; Hans-Peter Heim (CCTA, 2022)

A Deep Recurrent Neural Network Model for affine quasi-LPV System Identification. - Alexander Rehmer; Andreas Kroll (ECC, 2022)

On affine quasi-LPV System Identification with unknown state-scheduling using (deep) Recurrent Neural Networks*. - Alexander Rehmer; Andreas Kroll (ICSTCC, 2022)

The effect of the forget gate on bifurcation boundaries and dynamics in Recurrent Neural Networks and its implications for gradient-based optimization. - Alexander Rehmer; Andreas Kroll (IJCNN, 2022)

Toward Cognitive Assistance and Prognosis Systems in Power Distribution Grids - Open Issues, Suitable Technologies, and Implementation Concepts. - Ralf Gitzel; Martin W. Hoffmann; Philipp zur Heiden; Alexander Skolik; Sascha Kaltenpoth; Oliver Müller; Cansu Kanak; Kajan Kandiah; Max-Ferdinand Stroh; Wolfgang Boos; Maurizio Zajadatz; Michael Suriyah; et al. (IEEE Access, 2024)

People Counting and Positioning Using Low-Resolution Infrared Images for Resource-Constrained Edge Devices. - Alptekin Vardar; Li Zhang; Marc Lupp; Alexander Rehmer; Nandakishor Yadav; Thomas Kämpfe (MOCAST, 2025)