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%0 Journal Article
%1 krake2025uncertaintyaware
%A Krake, Tim
%A Klötzl, Daniel
%A Hägele, David
%A Weiskopf, Daniel
%D 2025
%J IEEE Transactions on Visualization and Computer Graphics
%K
%R 10.1109/TVCG.2024.3364388
%T Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess
%U https://doi.org/10.1109/TVCG.2024.3364388
@article{krake2025uncertaintyaware,
added-at = {2025-01-14T13:12:56.000+0100},
author = {Krake, Tim and Klötzl, Daniel and Hägele, David and Weiskopf, Daniel},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/22f881625fde44ca4e170b2dd3c6f5946/haegeldd},
doi = {10.1109/TVCG.2024.3364388},
interhash = {deea5f76a5237ecb2e0a99c89784abd3},
intrahash = {2f881625fde44ca4e170b2dd3c6f5946},
journal = {IEEE Transactions on Visualization and Computer Graphics},
keywords = {},
month = {02},
timestamp = {2025-01-14T12:12:56.000+0100},
title = {Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess},
url = {https://doi.org/10.1109/TVCG.2024.3364388},
year = 2025
}
