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pith:IADELBJO

pith:2026:IADELBJOGXRNUIWNDTRWYTL7MV
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A Conflict-aware Evidential Framework for Reliable Sleep Stage Classification

Dekui Wang, Jun Feng, Qirong Bu, Wei Zhou, Xingxing Hao, Yunzhi Tian

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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3 Author claim open · sign in to claim
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Claims

C1strongest claim

Both theoretical analysis and experimental results demonstrate the effectiveness of ConfSleepNet in sleep staging tasks.

C2weakest assumption

The assumption that hybrid category structures tailored to the inherent characteristics of varying modalities will promote more reasonable evidence learning from each view.

C3one line summary

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

170 extracted · 170 resolved · 1 Pith anchors

[1] Information Fusion , volume= 2025
[2] Hu, Shuaicong and Wang, Yanan and Liu, Jian and Yang, Cuiwei , journal=. 2025 , publisher= 2025
[3] Shao, Zhimin and Dou, Weibei and Pan, Yu , journal=. 2024 , publisher= 2024
[4] Proceedings of the 22nd ACM international conference on Information & Knowledge Management , pages=
[5] Proceedings of the AAAI Conference on Artificial Intelligence , volume=
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

arxiv: 2605.17021 · arxiv_version: 2605.17021v1 · doi: 10.48550/arxiv.2605.17021 · pith_short_12: IADELBJOGXRN · pith_short_16: IADELBJOGXRNUIWN · pith_short_8: IADELBJO
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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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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-16T14:47:59Z",
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