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 ...

Abstract: Traffic prediction is a crucial component of data management systems, leveraging historical data to learn spatio-temporal dynamics for forecasting future traffic and enabling efficient ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

The Challenge: The CAFA 6 (Critical Assessment of Functional Annotation) competition requires predicting Gene Ontology (GO) terms for 224,309 proteins—a computationally intensive task demanding ...

Researchers at Chicago-based Northwestern University and Ann & Robert H. Lurie Children’s Hospital of Chicago developed AI models that identify children with high risk of developing sepsis within 48 ...

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Abstract: To solve the problem of low prediction accuracy of SVM algorithm, this paper proposes a prediction model research method based on PSO-SVM kernel function hybrid algorithm, designs global and ...

This is the official repository for the paper "Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment" by Xiao Fei, Michail Chatzianastasis, Sarah Almeida Carneiro, Hadi ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...