ArticleFrontiers in systems neuroscience2026
Metaheuristic-optimized cross-modal attention networks for multimodal mental health assessment in college students.
Article in Frontiers in systems neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The increase in mental health disorders in college populations necessitates novel assessment strategies that circumvent the limitations of existing self-report instruments. To address this issue, this paper presents a new deep learning framework for mental health monitoring in academia by integrating multimodal passive sensing data collected from smartphones. A cross-modal attention network, searched by a new metaheuristic algorithm the Addax Optimization Algorithm for neural architecture search, was trained and first evaluated on the StudentLife dataset. To further validate the results due to the extremely limited number of samples in the test set (
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