Bring Your Own Data to x-Plain
Summary: Bring Your Own Data to x-Plain enables local, per-prediction explanations across classifiers via an interactive, human-in-the-loop interface. It supports cross-model comparison and debugging by revealing which features and knowledge drive decisions, aiding trust and model improvement. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Eliana Pastor (Politecnico di Torino)
- 2. Elena Baralis (Politecnico di Torino)
BibTeX Citation
@inproceedings{pastor_sigmod20,
title = {{Bring Your Own Data to x-Plain}},
author = {Pastor, Eliana and Baralis, Elena},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384710},
url = {https://dl.acm.org/doi/10.1145/3318464.3384710},
year = {2020}
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