How Divergent Is Your Data?
Summary: DivExplorer identifies divergent subgroups in data where classifiers misbehave, isolating regions with elevated FP/FN. It supports debugging and bias analysis for ethically charged domains, enabling focused data curation and model evaluation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Eliana Pastor
- 2. Andrew Gavgavian
- 3. Elena Baralis
- 4. Luca de Alfaro
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,259 | MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness | 2020 | SIGMOD | 9.167331e-05 |
| 3,162 | Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence | 2021 | SIGMOD | 7.4589576e-05 |
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