Journal of Medical Internet Research

Machine Learning–Based Prediction of Substance Use in Adolescents in Three Independent Worldwide Cohorts: Algorithm Development and Validation Study

We also assessed feature importance using traditional methods and further analyzed variable contributions through SHapley Additive exPlanation values. Results: The study used nationwide adolescent ...
IEEE

A Validation Strategy for Deep Learning Models: Evaluating and Enhancing Robustness

Abstract: Data-driven models, especially deep learning classifiers often demonstrate great success on clean datasets. Yet, they remain vulnerable to common data distortions such as adversarial and ...
IEEE

Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread

Abstract: The rise of graph-structured data has driven major advances in Graph Machine Learning (GML), where graph embeddings (GEs) map features from Knowledge Graphs (KGs) into vector spaces, ...
The Atlantic

States Are Learning the Wrong Lesson From the ‘Mississippi Miracle’

This article was featured in the One Story to Read Today newsletter. Sign up for it here. No story has caught the imagination of education reformers this decade quite like the “Mississippi miracle.” ...
labs.sogeti

FROM TEST CASE TO RUNNING PLAYWRIGHT SPEC: HOW SKILLS MAKE AGENTIC AI TEST AUTOMATION EFFICIENT

We (Automation COE team Sogeti India) used the Skills framework from the Anthropic open-source project (https://github.com/anthropics/skills) as the foundation for ...