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Conference Sep 2026

Subject-Independent Multimodal Pain Classification via a Calibrated XGBoost and Domain-Adversarial Neural Network Ensemble

Subject-independent pain assessment from short multimodal physiological signals is a challenging generalisation problem because participants exhibit highly idiosyncratic autonomic baselines. We address the three-class task of the AI4Pain 2026 Grand Challenge — classifying 10-second segments of blood volume pulse (BVP),...

Fahmida Rahman, Wasimul Bari Rahat, MD. Monjurul Islam et al. · 0 citations
Conference Sep 2026

A Two-Stage Hierarchical Classifier for Pain Detection and Localisation from Physiological Signals

Assessing pain in patients who cannot self-report remains an open clinical problem. The AI4Pain 2026 Grand Challenge extends this task from detection to localization, requiring three-class discrimination of No-Pain, Pain-Arm and Pain-Hand from four peripheral physiological signals (blood volume pulse, electrodermal act...

Soyeb Pervez Jim, Ahasanul Kabir Rifat, Tahera Hossain et al. · 0 citations

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