47 citations · 157 across the 13 of their papers we have counts for
4 papers · 1 filter
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture
Francesco Manigrasso, Filomeno Davide Miro, Lia Morra +1
The detection of semantic relationships between objects represented in an image is one of the fundamental challenges in image interpretation. Neural-Symbolic techniques, such as Lo…
Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
Sina Famouri, Lia Morra, Leonardo Mangia +1
In this work we study the impact of noise on the training of object detection networks for the medical domain, and how it can be mitigated by improving the training procedure. Anno…
Training Medical Communication Skills with Virtual Patients: Literature Review and Directions for Future Research
Edoardo Battegazzorre, Andrea Bottino, Fabrizio Lamberti
Effective communication is a crucial skill for healthcare providers since it leads to better patient health, satisfaction and avoids malpractice claims. In standard medical educati…
Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication
F. Gabriele Pratticò, Fabrizio Lamberti, Alberto Cannavò +2
Providing pedestrians and other vulnerable road users with a clear indication about a fully autonomous vehicle status and intentions is crucial to make them coexist. In the last fe…