Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
R. Bauer, M. Evers, Q. Quang Ngo, G. Reina, S. Frey, und M. Sedlmair. Software, (2025)Related to: Bauer, R., Evers, M., Ngo, Q.Q., Reina, G., Frey, S. and Sedlmair, M. (2025), Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Computer Graphics Forum e70122. doi: 10.1111/cgf.70122.
DOI: 10.18419/darus-4930
Zusammenfassung
This dataset contains the data and code for the publication: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Code Repository: A dynamic version of the code repository can be found at https://github.com/rbnbr/VoroParaSense. The version presented in this dataset corresponds to the version used in the corresponding paper (referenced as v1.0.0) and does not contain post-publication changes to the repository. Figures: Some of the figures contained in the Jupyter Notebooks were used to generate the CC BY 4.0 licensed figures in https://doi.org/10.1111/cgf.70122. The figures here are the raw .png figures. The published figures are mostly vector graphics and were slightly modified compared to the figures rendered in the Jupyter notebooks. Author: Ruben Bauer Source: https://doi.org/10.1111/cgf.70122 License: CC BY 4.0. Install: Tested with Python 3.12.3. Setup virtual environment with Python: python -m venv .venvActivate the environment, then install the requirements via: pip install -r requirements.txtRun python ./main.py to run the main example.
Bauer, Ruben/University of Stuttgart, Evers, Marina/University of Stuttgart, Quang Ngo, Quynh/University of Stuttgart, Reina, Guido/University of Stuttgart, Frey, Steffen/University of Groningen, Sedlmair, Michael/University of Stuttgart
Related to: Bauer, R., Evers, M., Ngo, Q.Q., Reina, G., Frey, S. and Sedlmair, M. (2025), Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Computer Graphics Forum e70122. doi: 10.1111/cgf.70122
%0 Generic
%1 bauer2025replication
%A Bauer, Ruben
%A Evers, Marina
%A Quang Ngo, Quynh
%A Reina, Guido
%A Frey, Steffen
%A Sedlmair, Michael
%D 2025
%K darus mult ubs_10005 ubs_10017 ubs_10021 ubs_20008 ubs_20019 ubs_20036 ubs_30086 ubs_30165 ubs_40460 ubs_40537 unibibliografie
%R 10.18419/darus-4930
%T Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
%X This dataset contains the data and code for the publication: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Code Repository: A dynamic version of the code repository can be found at https://github.com/rbnbr/VoroParaSense. The version presented in this dataset corresponds to the version used in the corresponding paper (referenced as v1.0.0) and does not contain post-publication changes to the repository. Figures: Some of the figures contained in the Jupyter Notebooks were used to generate the CC BY 4.0 licensed figures in https://doi.org/10.1111/cgf.70122. The figures here are the raw .png figures. The published figures are mostly vector graphics and were slightly modified compared to the figures rendered in the Jupyter notebooks. Author: Ruben Bauer Source: https://doi.org/10.1111/cgf.70122 License: CC BY 4.0. Install: Tested with Python 3.12.3. Setup virtual environment with Python: python -m venv .venvActivate the environment, then install the requirements via: pip install -r requirements.txtRun python ./main.py to run the main example.
@misc{bauer2025replication,
abstract = {This dataset contains the data and code for the publication: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Code Repository: A dynamic version of the code repository can be found at https://github.com/rbnbr/VoroParaSense. The version presented in this dataset corresponds to the version used in the corresponding paper (referenced as v1.0.0) and does not contain post-publication changes to the repository. Figures: Some of the figures contained in the Jupyter Notebooks were used to generate the CC BY 4.0 licensed figures in https://doi.org/10.1111/cgf.70122. The figures here are the raw .png figures. The published figures are mostly vector graphics and were slightly modified compared to the figures rendered in the Jupyter notebooks. Author: Ruben Bauer Source: https://doi.org/10.1111/cgf.70122 License: CC BY 4.0. Install: Tested with Python 3.12.3. Setup virtual environment with Python: python -m venv .venvActivate the environment, then install the requirements via: pip install -r requirements.txtRun python ./main.py to run the main example. },
added-at = {2025-06-03T13:26:49.000+0200},
affiliation = {Bauer, Ruben/University of Stuttgart, Evers, Marina/University of Stuttgart, Quang Ngo, Quynh/University of Stuttgart, Reina, Guido/University of Stuttgart, Frey, Steffen/University of Groningen, Sedlmair, Michael/University of Stuttgart},
author = {Bauer, Ruben and Evers, Marina and Quang Ngo, Quynh and Reina, Guido and Frey, Steffen and Sedlmair, Michael},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2900142466bf7952a6f13ea63fa9a4c41/unibiblio},
doi = {10.18419/darus-4930},
howpublished = {Software},
interhash = {32e3fc2dc92a5bc376f2aec7f46ba57f},
intrahash = {900142466bf7952a6f13ea63fa9a4c41},
keywords = {darus mult ubs_10005 ubs_10017 ubs_10021 ubs_20008 ubs_20019 ubs_20036 ubs_30086 ubs_30165 ubs_40460 ubs_40537 unibibliografie},
note = {Related to: Bauer, R., Evers, M., Ngo, Q.Q., Reina, G., Frey, S. and Sedlmair, M. (2025), Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Computer Graphics Forum e70122. doi: 10.1111/cgf.70122},
orcid-numbers = {Bauer, Ruben/https://orcid.org/0000-0003-2614-2480, Evers, Marina/https://orcid.org/0000-0003-3904-5065, Quang Ngo, Quynh/https://orcid.org/0000-0001-5254-1480, Reina, Guido/https://orcid.org/0000-0003-4127-1897, Frey, Steffen/https://orcid.org/0000-0002-1872-6905, Sedlmair, Michael/https://orcid.org/0000-0001-7048-9292},
timestamp = {2025-06-03T13:26:49.000+0200},
title = {Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples},
year = 2025
}