Lena Schmid

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Machine Learning

Classification And Regression Problems

Multi Label Learning

Activity Recognition

Top Venues

Comput. Stat. Data Anal.

Publications

Lena Schmid, Daniel Biebert, Christian Hakert, Kuan-Hsun Chen, Michel Lang, Markus Pauly, Jian-Jia Chen
TREE: Tree Regularization for Efficient Execution. CoRR (2024)
Lena Schmid, Moritz Roidl, Markus Pauly
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics - A simulation study. CoRR (2023)
Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda, Markus Pauly, Gernot A. Fink, Christopher Reining
Dataset Bias in Human Activity Recognition. CoRR (2023)
Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly
Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones. Comput. Stat. Data Anal. 179 (2023)
Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly
Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones? CoRR (2022)
Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly
Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing. ICCL (2021)
Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly
pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules. CoRR (2021)
Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly
pRSL: Interpretable multi-label stacking by learning probabilistic rules. UAI (2021)