In recent years, increasing attention has been given to an apparent issue within the scientific fields where the reproducibility of scientific results is questioned. This trend is commonly termed a crisis of reproducibility, or a reproducibility crisis. While medicine is a central scientific field here, it spans most other fields as well, including the computational sciences. This thesis investigates the reproducibility of recent and central scientific publications within artifical intelligence, through a selection of the most cited papers the past few years. The reproducibility is investigated by attempting to reproduce the presented results, based on the description of the method presented in the paper.