3 accepted papers
Autonomous exploration in large environments often leads to inefficient long backtracking, as distant targets are prioritized over closer ones. In this work, a hierarchical planning method is proposed, which employs region partitioning to systematically address the aforementioned issue. The space is
There has been a rapidly growing interest in Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the machine learning research literature, aiming to assist doctors in telemedicine services. These systems are designed to interact with patients, collect evidence about their sympt…
The automation of the medical evidence acquisition and diagnosis process has recently attracted increasing attention in order to reduce the workload of doctors and democratize access to medical care. However, most works proposed in the machine learning literature focus solely on improving the predic…