Florian Grimm

Orcid: 0000-0003-4912-1447

According to our database1, Florian Grimm authored at least 9 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Taking a HINT on Industrial Anomaly Detection.
Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024

2023
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Artificial Intelligence in Supply Chain Management: Investigation of Transfer Learning to Improve Demand Forecasting of Intermittent Time Series with Deep Learning.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021
Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model Based on Time Series Characteristics.
Proceedings of the Human Centred Intelligent Systems, 2021

Univariate Time Series Forecasting by Investigating Intermittence and Demand Individually.
Proceedings of the Human Centred Intelligent Systems, 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.
Proceedings of the Human Centred Intelligent Systems, 2021

Demand Forecasting Intermittent and Lumpy Time Series: Comparing Statistical, Machine Learning and Deep Learning Methods.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020
Desynchronization of temporal lobe theta-band activity during effective anterior thalamus deep brain stimulation in epilepsy.
NeuroImage, 2020

2016
Reinforcement learning of self-regulated sensorimotor β-oscillations improves motor performance.
NeuroImage, 2016


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