R. Ayyasamy

Explainable AI for resource-aware intervention prioritization of digital burnout in healthcare workplaces

Adaptive Candidate Restriction for Scalable Random-Forest Bayesian Optimisation: Matched Accuracy at a Fraction of the Acquisition Cost

: Random-forest sequential model-based optimisation (RF-SMBO) is a robust, CPU-friendly method for hyperparameter optimisation (HPO), but its conventional implementation scores every unevaluated configuration with the acquisition function at each iteration. On modern search grids containing tens of thousands of configu...

A Symptom-Aware Framework for Postpartum Depression Risk Detection Across Heterogeneous Textual Data

Postpartum depression (PPD) is a significant maternal mental health condition that can adversely affect maternal well-being, mother–infant bonding, and infant development, highlighting the importance of early risk detection. Although natural language processing (NLP) enables automated analysis of depression-related tex...

Decoding hate: The rise of transformer and large language model architectures in automated hate speech detection