Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...
Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...
Computer science student Ashley Baird is the kind of person who thrives on completing what she starts. Baird's drive to see things through resulted in a successful machine learning project for the U.S ...
This project evaluates how effectively static features extracted from Windows Portable Executable (PE) files can distinguish ransomware from benign software using supervised machine learning. This ...
Generative AI powers apps and tools that boost productivity and knowledge in much of the world. But these systems don’t work equally well for all communities—especially those under-represented online, ...
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