RobustiPy: An efficient next-generation multiversal library with model selection, averaging, resampling, and explainable AI.
- DOI
- 10.1016/j.patter.2026.101609
- Published
- 2026 Aug 14
- Container
- Patterns (New York, N.Y.)
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.patter.2026.101609,
title = {RobustiPy: An efficient next-generation multiversal library with model selection, averaging, resampling, and explainable AI.},
author = {Valdenegro D and Yan J and Dai D and Rahal C},
year = {2026},
journal = {Patterns (New York, N.Y.)},
doi = {10.1016/j.patter.2026.101609},
url = {https://doi.org/10.1016/j.patter.2026.101609}
}RIS
TY - JOUR TI - RobustiPy: An efficient next-generation multiversal library with model selection, averaging, resampling, and explainable AI. AU - Valdenegro D AU - Yan J AU - Dai D AU - Rahal C PY - 2026 JO - Patterns (New York, N.Y.) DO - 10.1016/j.patter.2026.101609 UR - https://doi.org/10.1016/j.patter.2026.101609 ER -
APA
D, V., J, Y., D, D., & C, R. (2026). RobustiPy: An efficient next-generation multiversal library with model selection, averaging, resampling, and explainable AI.. Patterns (New York, N.Y.). https://doi.org/10.1016/j.patter.2026.101609
Source records
- pubmed · retrieved 2026-09-25T23:03:06.278Z