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 ...
Background Evidence impact of the COVID-19 pandemic on health-related indicator in Sub-Saharan Africa is limited. We aimed to ...
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Partial Least Squares Regression Trees for Multivariate Response Data With Multicollinear Predictors
Abstract: Some problems arise in analyzing massive complex data consisting of multivariate response variables and a large number of multicollinear predictor variables, especially when the sample sizes ...
Objective We evaluated the long-term association between the COVID-19 pandemic and the language development of children aged ...
Objective To estimate the incidence of herpes zoster (HZ) and the incremental healthcare resource utilisation (HRU) and costs ...
The current Poisson factor models often assume that the factors are unknown, which overlooks the explanatory potential of certain observable covariates. This study focuses on high dimensional settings ...
Introduction Asthma is a chronic respiratory disorder requiring ongoing medical management. This ecological study ...
Abstract: Data-driven virtual-sensors or soft-sensors are important tools for predicting quality variables or KPIs in many industrial processes. However, the existing virtual-sensors models are ...
If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
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