IJCAI

Using Machine Learning to Enhance the Detection of Obfuscated Abusive Words in Swahili: A Focus on Child Safety

利用机器学习增强斯瓦希里语中隐晦侮辱性词汇的检测：聚焦儿童安全

Phyllis Nabangi, Abdul-Jalil Zakaria, Jema David Ndibwile

AI总结 本研究利用机器学习方法提升斯瓦希里语中隐晦侮辱性词汇的检测能力，旨在提高儿童网络环境的安全性。

Comments Accepted at the Second IJCAI AI for Good Symposium in Africa, hosted by Deep Learning Indaba, 7 pages, 1 figure

BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation

BEAGLE：行为约束的地面学习者模拟代理

Hanchen David Wang, Clayton Cohn, Zifan Xu, Siyuan Guo, Gautam Biswas, Meiyi Ma

AI总结 BEAGLE 通过整合自我调节学习理论和三种技术创新，有效模拟学生学习行为，实现对真实学习轨迹的高还原度复现。

Comments paper under submission at IJCAI