Abstract: The practice of categorizing and identifying cyber-bullying behavior, which include using technology to harass or intimidate people—usually through online platforms—is known as cyberbullying ...

Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment and monitoring -- Azure ML is empowering developers to integrate predictive ...

In a screenshot of the Scam Detection feature provided by Google ... company is seeing “really positive impact” from using its machine learning systems to detect potential scam messages ...

A significant number of children and adolescents around the world face school violence and bullying including cyberbullying ... to participate in preventing all forms of violence and fostering safe ...

More changes are coming, as well. Pocketpair says that the upcoming patch v0.5.5 will change how gliding works, as “gliding will be performed using a glider rather than with Pals.” ...

The incident at Leesville reflects a disturbing national trend of students using AI to generate “deepfake” images to harass and bully other students. The students will face consequences for ...

The request came after the monitor's consulting firm was bought, in part, by a law firm representing some of the owners of the embattled Woodbury nursing home. Get the latest news and more great ...

When I was in law school, I took a required course in evidence. I didn’t realize at the time how important that course would turn out to be, not only for my later career as a trial lawyer, but ...

Learning Pathways Events & Webinars Ebooks & Whitepapers Customer Stories Partners ... Cyber-Bullying-Detection About cyber-bullying-detection-virid.vercel.app Resources Readme License MIT license ...

Abstract: Machine learning (ML) is ever more frequently used as a tool to ... In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as ...