AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes. - Marianna Maranghi; Aris Anagnostopoulos; Irene Cannistraci; Ioannis Chatzigiannakis; Federico Croce; Giulia Di Teodoro; Michele Gentili; Giorgio Grani; Maurizio Lenzerini; Stefano Leonardi 001; Andrea Mastropietro; Laura Palagi; et al. (CoRR, 2022)

Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1. - Giulia Di Teodoro; Martin Pirkl; Francesca Incardona; Ilaria Vicenti; Anders Sönnerborg; Rolf Kaiser; Laura Palagi; Maurizio Zazzi; Thomas Lengauer (CoRR, 2023)

A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling. - Giulia Di Teodoro; Federico Siciliano; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

Unboxing Tree ensembles for interpretability: A hierarchical visualization tool and a multivariate optimal re-built tree. - Giulia Di Teodoro; Marta Monaci; Laura Palagi (EURO J. Comput. Optim., 2024)

Toward personalized medicine and transparent decision-making with Machine Learning Models for complex diseases: a focus on HIV-1 and type 2 Diabetes. - Giulia Di Teodoro (2024)

A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1. - Giulia Di Teodoro; Federico Siciliano; Valerio Guarrasi; Anne-Mieke Vandamme; Valeria Ghisetti; Anders Sönnerborg; Maurizio Zazzi; Fabrizio Silvestri; Laura Palagi (Comput. Medical Imaging Graph., 2025)

A Systematic Replicability and Comparative Study of BSARec and SASRec for Sequential Recommendation. - Chiara D'Ercoli; Giulia Di Teodoro; Federico Siciliano (CoRR, 2025)