SECURE-AI: Multi-Signal Uncertainty Quantification for Trustworthy Acoustic Cough Detection
arXiv 2610.23937v1•889894c1eea1eae229ff637354a2bab2b39946855cfd7857b2bebc9c5859c555
Paper metadata
- arXiv ID
- 2610.23937
- Version
- v1
- Category
- cs.AI, cs.LG, cs.SD, eess.AS
- Authors
- Sejal Solkhan, Feiya Xiang, Mayur Sanap, Geet Khatri, Edgar Lobaton
- Publication date
- 2026-10-20T04:00:00Z
- Source identifier
- 2610.23937v1
- Public record ID
- record:sha256:889894c1eea1eae229ff637354a2bab2b39946855cfd7857b2bebc9c5859c555
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- 889894c1eea1eae229ff637354a2bab2b39946855cfd7857b2bebc9c5859c555
- Record type
- Source metadata
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