Florian Grimm

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 9

Top Topics

Demand Forecasting

Autoregressive Conditional Heteroscedasticity

Top Venues

Publications

Jacqueline Höllig, Steffen Thoma, Florian Grimm
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification. CoRR (2023)
Jacqueline Höllig, Steffen Thoma, Florian Grimm
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification. ICMLA (2023)
Daniel Kiefer, Florian Grimm, Clemens van Dinther
Artificial Intelligence in Supply Chain Management: Investigation of Transfer Learning to Improve Demand Forecasting of Intermittent Time Series with Deep Learning. HICSS (2022)
Daniel Kiefer, Markus Bauer, Florian Grimm
Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model Based on Time Series Characteristics. KES-HCIS (2021)
Florian Grimm, Daniel Kiefer, Markus Bauer
Univariate Time Series Forecasting by Investigating Intermittence and Demand Individually. KES-HCIS (2021)
Markus Bauer, Daniel Kiefer, Florian Grimm
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. KES-HCIS (2021)
Daniel Kiefer, Florian Grimm, Markus Bauer, Clemens van Dinther
Demand Forecasting Intermittent and Lumpy Time Series: Comparing Statistical, Machine Learning and Deep Learning Methods. HICSS (2021)
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, Alireza Gharabaghi
Desynchronization of temporal lobe theta-band activity during effective anterior thalamus deep brain stimulation in epilepsy. NeuroImage 218 (2020)
Georgios Naros, Ilias Naros, Florian Grimm, Ulf Ziemann, Alireza Gharabaghi
Reinforcement learning of self-regulated sensorimotor β-oscillations improves motor performance. NeuroImage 134 (2016)