Lena Schmid

According to our database, Lena Schmid authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

TREE: Tree Regularization for Efficient Execution.

Lena Schmid, Daniel Biebert, Christian Hakert, Kuan-Hsun Chen, Michel Lang, Markus Pauly, Jian-Jia Chen

CoRR, 2024

Representation Biases in Time-Series Human Activity Recognition with Small Sample Sizes.

Nilah Ravi Nair, Lena Schmid, Christopher Reining, Fernando Moya Rueda, Markus Pauly, Gernot A. Fink

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones.

Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly

Comput. Stat. Data Anal., 2023

Comparing statistical and machine learning methods for time series forecasting in data-driven logistics - A simulation study.

Lena Schmid, Moritz Roidl, Markus Pauly

CoRR, 2023

Dataset Bias in Human Activity Recognition.

Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda, Markus Pauly, Gernot A. Fink, Christopher Reining

CoRR, 2023

2022

Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?

Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly

CoRR, 2022

2021

pRSL: Interpretable multi-label stacking by learning probabilistic rules.

Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing.

Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly

Proceedings of the Computational Logistics - 12th International Conference, 2021