Nearly 20% of students experience at least one suspension or expulsion, and two-thirds of those are excluded multiple times, ...
Objective: This study aimed to develop and validate interpretable machine learning (ML) models based on multi-dimensional fusion data for predicting positive surgical margins (PSM) in robot-assisted ...
Abstract: Owing to the immaturity of current artificial intelligence techniques, practical multiagent systems (MASs) often require supervision and intervention from humans. However, it is unrealistic ...
Abstract: Contrastive learning (CL) has emerged as a powerful approach for self-supervised learning. However, it suffers from sampling bias, which hinders its performance. While the mainstream ...
For the 2024-25 school year, the California PBIS Coalition honored schools that have successfully implemented systems to improve student behavior, increase engagement, and promote positive student ...