activity
20232026
most citedData-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape

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

collaborators

5 papers

cs.LG2026

Lethe: Link Inference Attacks For Evaluation of Edge Unlearning Methods

Andrea D'Angelo, Francesco Gullo, Davide Mottin +2

Graph Unlearning (GU) aims to remove the influence of specific training data from a Graph Neural Network without retraining anew. While most methods address removal of nodes and fe…

cs.CY2024

Report on Female Participation in Informatics degrees in Europe

Andrea D'Angelo, Tiziana Catarci, Antinisca Di Marco +3

This study aims to enrich and leverage data from the Informatics Europe Higher Education (IEHE) data portal to extract and analyze trends in female participation in Informatics acr…

cs.SE2024★ 1 cited

VAMP: Visual Analytics for Microservices Performance

Luca Traini, Jessica Leone, Giovanni Stilo +1

Analysis of microservices' performance is a considerably challenging task due to the multifaceted nature of these systems. Each request to a microservices system might raise severa…

cs.CY2023★ 1 cited

Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape

Giordano d'Aloisio, Andrea D'Angelo, Francesca Marzi +3

Gender bias in education gained considerable relevance in the literature over the years. However, while the problem of gender bias in education has been widely addressed from a stu…

cs.LG2023

Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development

Francesca Marzi, Giordano d'Aloisio, Antinisca Di Marco +1

The problem of predicting the training time of machine learning (ML) models has become extremely relevant in the scientific community. Being able to predict a priori the training t…