2 papers
cs.LG2026
Detecting Neurovascular Instability from Multimodal Physiological Signals Using Wearable-Compatible Edge AI: A Responsible Computational Framework
Truong Quynh Hoa, Hoang Dinh Cuong, Truong Xuan Khanh
We propose Melaguard, a multimodal ML framework (Transformer-lite, 1.2M parameters, 4-head self-attention) for detecting neurovascular instability (NVI) from wearable-compatible ph…
cs.LG2024
Evaluating Cost-Accuracy Trade-offs in Multimodal Search Relevance Judgements
Silvia Terragni, Hoang Cuong, Joachim Daiber +2
Large Language Models (LLMs) have demonstrated potential as effective search relevance evaluators. However, there is a lack of comprehensive guidance on which models consistently p…