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

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

collaborators

6 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.LG2026

Causal Routing for Unlearning

Bardh Prenkaj, Andrea D'Angelo, Davide Mottin +4

LLMs cannot forget the way we delete a file. Strangely, we are asked to remove something that was never put anywhere in particular. What the model took from a piece of text is now…

cs.AI2026

GRACE:Gradient-guided Coreset Selection for LLM Unlearning

Praveen Bushipaka, Andrea D'Angelo, Lucia Passaro +1

Machine Unlearning methods for Large Language Models typically assume pre-specified forget and retain sets. In realistic settings, however, requests may provide only a few examples…

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

PlayMyData: a curated dataset of multi-platform video games

Andrea D'Angelo, Claudio Di Sipio, Cristiano Politowski +1

Being predominant in digital entertainment for decades, video games have been recognized as valuable software artifacts by the software engineering (SE) community just recently. Su…

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…