LabelScope: Context-Aware Discovery of Label Outliers in Radio Astronomy Signals
Summary: LabelScope interactively finds contextual label outliers in NRAO bandpass signals by grouping metadata- and feature-augmented records and surfacing minority labels. Predicate explanations help experts triage score–label disagreements as errors, real anomalies, or detector failures. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Rabeya Hossain (University of Utah)
- 2. Brian Mason (National Radio Astronomy Observatory)
- 3. Ryan Loomis (National Radio Astronomy Observatory)
- 4. Jeff M. Phillips (University of Utah)
- 5. El Kindi Rezig (University of Utah)
BibTeX Citation
@article{hossain_vldb26,
title = {{LabelScope: Context-Aware Discovery of Label Outliers in Radio Astronomy Signals}},
author = {Hossain, Rabeya and Mason, Brian and Loomis, Ryan and Phillips, Jeff M. and Rezig, El Kindi},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4686--4689},
doi = {10.14778/3827998.3828097},
url = {https://doi.org/10.14778/3827998.3828097},
year = {2026}
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