de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

CNBC's Steve Liesman and Paul McCulley, former PIMCO chief economist, joins 'The Exchange' to discuss the upcoming Federal Reserve meeting, the path going forward and much more. Dozens denied oath of ...

Abstract: Database normalization is a ubiquitous theoretical relational database analysis process. It comprises several levels of normal forms and encourage database designers not to split database ...

The old adage, "familiarity breeds contempt," rings eerily true when considering the dangers of normalizing deviance. Coined by sociologist Diane Vaughan, this phenomenon describes the gradual process ...

"Now, obviously, some kind of an agreement will be reached between the US State Department and the Russian Foreign Ministry on where and when to hold the next meeting," Yury Ushakov said MOSCOW, June ...

Everyone knows and loves the first three normal forms. We go through the process of normalization to remove redundancies in our data structures. But the redundancies we remove have nothing to do with ...

It's time for spring cleaning, including your enterprise data stores, says data expert Joey D'Antoni, who offers front-line data-hygiene advice straight from the IT trenches. "Data can be one of our ...

After the results of SSC CGL 2024, there has been confusion among many candidates about the normalization process. Many candidates are questioning its fairness and accuracy. The goal of normalization ...

Theresa Gaffney is the lead Morning Rounds writer and reports on health care, new research, and public policy, with a particular interest in mental health, gender-affirming care, and LGBTQ+ patient ...