pith:IADELBJO
A Conflict-aware Evidential Framework for Reliable Sleep Stage Classification
ConfSleepNet resolves conflicts between misaligned modalities to deliver reliable sleep stage classifications using evidential reasoning.
arxiv:2605.17021 v1 · 2026-05-16 · cs.AI
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Claims
Both theoretical analysis and experimental results demonstrate the effectiveness of ConfSleepNet in sleep staging tasks.
The assumption that hybrid category structures tailored to the inherent characteristics of varying modalities will promote more reasonable evidence learning from each view.
ConfSleepNet introduces a conflict-aware evidential aggregation method for multi-modal sleep stage classification using hybrid category structures per modality to produce reliable joint decisions with uncertainty.
References
Receipt and verification
| First computed | 2026-05-20T00:03:36.381905Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
400645852e35e2da22cd1ce36c4d7f657a8d435cb42f9648c682f17a4c0146dc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IADELBJOGXRNUIWNDTRWYTL7MV \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 400645852e35e2da22cd1ce36c4d7f657a8d435cb42f9648c682f17a4c0146dc
Canonical record JSON
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