Deep learning detectors for online misinformation report near-perfect in-domain accuracy, yet deployment faces distribution shift. This study asks whether such scores reflect a transferable ability to separate true from false content, auditing across three public corpora needing no social-media interface: LIAR statemen...
R. Raman, S. Salman, Babasaheb Jadhav et al.· International Journal on Sem...· 0 citations
ATTEND, a multi-task neural network for substance classification and detection of 18 overdose symptoms, with symptom normalization to standardized MedDRA concepts, which is scalable, privacy-preserving, and suitable for real-time monitoring of drug abuse signals is proposed.
Sudhakar Kumar, S. Singh, Satvik Pathak et al.· International Journal of Int...· 0 citations
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