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 ...
These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...
Abstract: This study examines logit models applied to the truck route choice problem using GPS trucking data from the Dallas metropolitan area. Instead of assuming a constant coefficient for each ...
Four billion years ago, Earth was violent, hot, and unstable. Yet new research suggests that by then, life had already ...
*UPDATE 11/16/23: pip package now available. Use "pip install bnnsurv". Tested with TensorFlow 2.13 and TensorFlow Probability 0.21. See test file for how to use. This repository is the official ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
BPGbio Announces Publication of Pioneering Solid Tumor Study with BPM31510 IV using Patient Omics and Bayesian AI to Guide ...
Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...
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