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Seiichi Uchida

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Open access 2026

Ord-NLL: Negative Label Learning for Ordinal Noisy Labels

Experiments on two multi-expert ulcerative colitis endoscopic-image datasets under two ordinal-noise models show that Ord-NLL is competitive with or superior to strong baselines while reducing mean absolute error, and that Ord-NLL+ often yields further gains.

Shumpei Takezaki, K. Shiku, S. Harada et al. · 0 citations

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