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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results