9 citations · 16 across the 7 of their papers we have counts for
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stat.ML2023★ 3 cited
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study
Lena Schmid, Moritz Roidl, Markus Pauly
Many planning and decision activities in logistics and supply chain management are based on forecasts of multiple time dependent factors. Therefore, the quality of planning depends…
eess.SP2023★ 3 cited
Dataset Bias in Human Activity Recognition
Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda +3
When creating multi-channel time-series datasets for Human Activity Recognition (HAR), researchers are faced with the issue of subject selection criteria. It is unknown what physic…