activity
20182022
most citedDesign, Validation, and Case Studies of 2D-VSR-Sim, an Optimization-friendly Simulator of 2-D Voxel-based Soft Robots

4 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning

Marco Virgolin, Andrea De Lorenzo, Tanja Alderliesten +1

Emotion recognition in children can help the early identification of, and intervention on, psychological complications that arise in stressful situations such as cancer treatment.…

cs.LG2021

Model Learning with Personalized Interpretability Estimation (ML-PIE)

Marco Virgolin, Andrea De Lorenzo, Francesca Randone +2

High-stakes applications require AI-generated models to be interpretable. Current algorithms for the synthesis of potentially interpretable models rely on objectives or regularizat…

cs.LG2020

Learning a Formula of Interpretability to Learn Interpretable Formulas

Marco Virgolin, Andrea De Lorenzo, Eric Medvet +1

Many risk-sensitive applications require Machine Learning (ML) models to be interpretable. Attempts to obtain interpretable models typically rely on tuning, by trial-and-error, hyp…

cs.RO20204 cited

Design, Validation, and Case Studies of 2D-VSR-Sim, an Optimization-friendly Simulator of 2-D Voxel-based Soft Robots

Eric Medvet, Alberto Bartoli, Andrea De Lorenzo +1

Voxel-based soft robots (VSRs) are aggregations of soft blocks whose design is amenable to optimization. We here present a software, 2D-VSR-Sim, for facilitating research concernin…

cs.CR2018

(In)Secure Configuration Practices of WPA2 Enterprise Supplicants

Alberto Bartoli, Eric Medvet, Andrea De Lorenzo +1

WPA2 Enterprise is a fundamental technology for secure communication in enterprise wireless networks. A key requirement of this technology is that WiFi-enabled devices (i.e., suppl…