Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

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 ...

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 ...

We all know that chatbots can be a crutch. But when used wisely, they’ll help you improve how you absorb, practice, and retain knowledge. Here's how I do it. From the laptops on your desk to ...