A dual-verification selective classifier using conformal prediction and geometric distance vetoes achieves reliable HIV suspicion triage in Spanish clinical notes by isolating a high-trust subset of predictions.
Focal Loss for Dense Object Detection , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
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UNVERDICTED 2representative citing papers
A context-aware synthetic augmentation framework with a hybrid clinical-language model improves psychological defense mechanism classification to 58.26% accuracy and 24.62% macro-F1 in low-resource conditions, outperforming the DMRS Co-Pilot baseline.
citing papers explorer
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Reliable Automated Triage in Spanish Clinical Notes: A Hybrid Framework for Risk-Aware HIV Suspicion Identification
A dual-verification selective classifier using conformal prediction and geometric distance vetoes achieves reliable HIV suspicion triage in Spanish clinical notes by isolating a high-trust subset of predictions.
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Mitigating Data Scarcity in Psychological Defense Classification with Context-Aware Synthetic Augmentation
A context-aware synthetic augmentation framework with a hybrid clinical-language model improves psychological defense mechanism classification to 58.26% accuracy and 24.62% macro-F1 in low-resource conditions, outperforming the DMRS Co-Pilot baseline.