Q1 The Forget-set Identification Problem
Andrea D'Angelo, Francesco Gullo, Giovanni Stilo
Published in Machine Learning Journal (Springer), 2025
Publications
You can also find my articles on my Google Scholar profile.
Journal Articles
Q1 Uncovering gender gap in academia: A comprehensive analysis within the software engineering community
Andrea D'Angelo, Giordano d'Aloisio, Francesca Marzi, Antinisca Di Marco, Giovanni Stilo
Published in Journal of Systems and Software, 2024
Q1 A method to comprehensively identify germline SNVs, INDELs and CNVs from whole exome sequencing data of BRCA1/2 negative breast cancer patients
Andrea Bianchi, Veronica Zelli, Andrea D'Angelo, Alessandro Di Matteo, Giulia Scoccia, Katia Cannita, Antigone S. Dimas, Stavros Glentis, Francesca Zazzeroni, Edoardo Alesse, Antinisca Di Marco, Alessandra Tessitore
Published in NAR Genomics and Bioinformatics, 2024
Q1 Exploiting spatial relations for grammar-based specification of multidimensional languages
Giuseppe Della Penna, Sergio Orefice, Andrea D'Angelo
Published in Knowledge and Information Systems, 2023
Q1 Debiaser for Multiple Variables to enhance fairness in classification tasks
Giordano d'Aloisio, Andrea D'Angelo, Antinisca Di Marco, Giovanni Stilo
Published in Information Processing & Management, 2023
Conference Papers
A ERASURE: a Modular and Extensible Framework for Machine Unlearning
Andrea D'Angelo, Claudio Savelli, Gabriele Tagliente, Flavio Giobergia, Elena Baralis, Giovanni Stilo
Published in Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025), 2025
HybridKAN: Leveraging Multi-Sized Sub-MLPs for Enhanced Performances
Fabio D'Andreamatteo, Andrea D'Angelo, Giovanni Stilo
Published in ITADATA (Italian Conference on Big Data and Data Science) 2025, 2025
A* How to Make Reproducible Research in Machine Unlearning with ERASURE
Andrea D'Angelo, Claudio Savelli, Gabriele Tagliente, Flavio Giobergia, Elena Baralis, Giovanni Stilo
Published in Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2025), 2025
On the Need for Reproducibility Guidelines for Open-Source Games: A itch. io Case Study
Claudio Di Sipio, Andrea D'Angelo, Riccardo Rubei, Cristiano Politowski
Published in 2025 IEEE Conference on Games (CoG), 2025
workshop Grammar-based anomaly detection of microservice systems execution traces
Andrea D'Angelo, Giordano d'Aloisio
Published in Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024
Winner of Best Short Paper award!
A PlayMyData: a curated dataset of multi-platform video games
Andrea D'Angelo, Claudio Di Sipio, Cristiano Politowski, Riccardo Rubei
Published in Proceedings of the 21st International Conference on Mining Software Repositories, 2024
A Data-driven analysis of gender fairness in the software engineering academic landscape
Giordano d'Aloisio, Andrea D'Angelo, Francesca Marzi, Diana Di Marco, Giovanni Stilo, Antinisca Di Marco
Published in European Conference on Software Architecture, 2023
DIORAMA: Digital twIn fOR sustAinable territorial MAnagement
Andrea Bianchi, Giordano d'Aloisio, Andrea D'Angelo, Antinisca Di Marco, Alessandro Di Matteo, Jessica Leone, Giulia Scoccia, Giovanni Stilo, Luca Traini
Published in itaDATA, 2022
workshop Enhancing fairness in classification tasks with multiple variables: a data-and model-agnostic approach
Giordano d'Aloisio, Giovanni Stilo, Antinisca Di Marco, Andrea D'Angelo
Published in International Workshop on Algorithmic Bias in Search and Recommendation, 2022
Book Chapters
Best Practices and Lessons from Academia-Industry Collaboration Initiatives
Published in Actions for Gender Balance in Informatics Across Europe, 2025
Posters
A Novel Relevance Score for Unsupervised Retrieval with Large Language Models
Published in KDD 2024 (ACM SIGKDD Conference on Knowledge Discovery and Data Mining), Barcelona, 2024
Towards a Novel Visual Evaluation of Algorithmic Bias: Insights on the Italian Academic System
Francesca Ciccarelli, Andrea D'Angelo, Giovanni Stilo
Published in KDD 2024 (ACM SIGKDD Conference on Knowledge Discovery and Data Mining), Barcelona, 2024