Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
The relationship between mutual intelligibility and linguistic classification is famously complex, often boiling down to politics rather than purely linguistic differences. In Scandinavia, Danish, ...
Introduction: We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in ...
Singapore, Singapore October 27, 2025 –(PR.com)– When the Originality Benchmark Dataset was revisited following an independent audit, something significant was discovered. Facticity.AI, the automated ...
Deep Learning Model for Natural Language to Assess Effectiveness of Patients With Non–Muscle Invasive Bladder Cancer Receiving Intravesical Bacillus Calmette-Guérin Therapy Accurate identification of ...
Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.
Having spent the last two years building generative AI (GenAI) products for finance, I've noticed that AI teams often struggle to filter useful feedback from users to improve AI responses.
Abstract: In linguistic steganalysis (LS), the fundamental requirement is to detect steganographic text (stego) effectively, and existing LS methods have shown excellent detection performance even in ...
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