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Explainable Outlier Detection for Interval-valued Data

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arXiv:2606. 26307v1 Announce Type: cross Abstract: Explainability is increasingly recognized as a key aspect of outlier detection.

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Authors: Catarina P. Loureiro, M. Ros\'ario Oliveira, Paula Brito, Lina Oliveira
Released: 2026-06-26 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Explainable Outlier Detection for Interval-valued Data overlaps with clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "#351 follow-up: broader-vocab position-0 sweep at T=1.0 + position-1 suffix isolation". Matching terms: rate, position. Source: arxiv stat.ML (Machine Learning).
arXiv: 2606.26307

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