Daniel Evanko

Machine-learning powered email automation to improve author compliance

2025

<p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" dir="auto" id="d3609823e73">A scalable email automation system driven by machine learning is presented, designed to streamline editorial workflows by accurately detecting manuscripts that require author revision. Authors are efficiently engaged through automated, customizable …