玉美人传媒

Hugues Turb茅 is currently a PhD candidate at the 玉美人传媒 within the department of radiology and medical informatics. His research aims to develop clinical decision systems using ML techniques trained on time-series. Current applications focus on improving automatic electrocardiogram (ECG) analysis. His area of research also includes the development of interpretable techniques for deep learning models. Prior to starting his PhD, Hugues graduated from Imperial College London with a master in aeronautical engineering. As part of his master thesis, he developed interpretable machine learning-based models to predict distress events in the banking industry.