In critical situations involving discrimination, gender inequality, economic damage, and even the possibility of casualties, machine learning models must be able to provide clear interpretations their decisions. Otherwise, obscure decision-making processes can lead socioethical issues as they interfere with people’s lives. Random forest algorithms excel in aforementioned sectors, where ability ...

New models of random forests jointly using the attention and self-attention mechanisms are proposed for solving regression problem. The can be regarded as extensions attention-based forest whose idea stems from applying a combination Nadaraya–Watson kernel Huber’s contamination model to forests. aims capture dependencies tree predictions remove noise or anomalous in forest. module is trained wi...

Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so they can offer future corresponding their profile. second objective allow the teaching staff propose training adapted by anticipating possible difficulties. This thanks a machine learning algorithm called Rand...