Reinforcement learning of self-regulated sensorimotor β-oscillations improves motor performance. - Georgios Naros; Ilias Naros; Florian Grimm; Ulf Ziemann; Alireza Gharabaghi (NeuroImage, 2016)

Desynchronization of temporal lobe theta-band activity during effective anterior thalamus deep brain stimulation in epilepsy. - Maximillian Scherer; Luka Milosevic; Robert Guggenberger; Volker Maus; Georgios Naros; Florian Grimm; Iancu Bucurenciu; Bernhard J. Steinhoff; Yvonne G. Weber; Holger Lerche; Daniel Weiss; Sabine Rona; et al. (NeuroImage, 2020)

Demand Forecasting Intermittent and Lumpy Time Series: Comparing Statistical, Machine Learning and Deep Learning Methods. - Daniel Kiefer; Florian Grimm; Markus Bauer 002; Clemens van Dinther (HICSS, 2021)

Sales Forecasting Under Economic Crisis: A Case Study of the Impact of the COVID19 Crisis to the Predictability of Sales of a Medium-Sized Enterprise. - Markus Bauer 002; Daniel Kiefer; Florian Grimm (KES-HCIS, 2021)

Univariate Time Series Forecasting by Investigating Intermittence and Demand Individually. - Florian Grimm; Daniel Kiefer; Markus Bauer 002 (KES-HCIS, 2021)

Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model Based on Time Series Characteristics. - Daniel Kiefer; Markus Bauer 002; Florian Grimm (KES-HCIS, 2021)

Artificial Intelligence in Supply Chain Management: Investigation of Transfer Learning to Improve Demand Forecasting of Intermittent Time Series with Deep Learning. - Daniel Kiefer; Florian Grimm; Clemens van Dinther (HICSS, 2022)

XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification. - Jacqueline Höllig; Steffen Thoma; Florian Grimm (ICMLA, 2023)

Automatic Gear Tooth Alignment in Vision Based Preventive Maintenance. - Florian Grimm; Daniel Kiefer; Tim Straub; Günter Bitsch; Clemens van Dinther (ISM, 2023)

Anomaly Detection in Hobbing Tool Images: Using An Unsupervised Deep Learning Approach in Manufacturing Industry. - Daniel Kiefer; Stefan Wezel; Alexander Böttcher; Florian Grimm; Tim Straub; Günter Bitsch; Clemens van Dinther (ISM, 2023)

Taking a HINT on Industrial Anomaly Detection. - Jacqueline Höllig; Florian Grimm; Daniel Kiefer; Steffen Thoma (INFORMATIK, 2024)

Automatic Gear Tooth Alignment 2.0: Improved Image Segmentation for Better Rotation Angle Deviation Determination. - Florian Grimm; Daniel Kiefer; Tim Straub; Günter Bitsch; Clemens van Dinther (ISM, 2024)