Access to Distributed Earth Science Data Supported by Emerging Technologies. - Joost van Bemmelen; Luigi Fusco; Veronica Guidetti (EnviroInfo, 2005)

DILIGENT: integrating digital library and Grid technologies for a new Earth observation research infrastructure. - Leonardo Candela; Fuat Akal; Henri Avancini; Donatella Castelli; Luigi Fusco; Veronica Guidetti; Christoph Langguth; Andrea Manzi; Pasquale Pagano; Heiko Schuldt; Manuele Simi; Michael Springmann; et al. (Int. J. Digit. Libr., 2007)

Semantic Bookmarking and Search in the Earth Observation Domain. - Francesca Fallucchi; Maria Teresa Pazienza; Noemi Scarpato; Armando Stellato; Luigi Fusco; Veronica Guidetti (KES (3), 2008)

dNNsolve: an efficient NN-based PDE solver. - Veronica Guidetti; Francesco Muia; Yvette Welling; Alexander Westphal (CoRR, 2021)

Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art. - Davide Ferrari; Veronica Guidetti; Vasa Curcin; Yanzhong Wang (AMIA, 2022)

Multi-Objective Symbolic Regression for Data-Driven Scoring System Management. - Davide Ferrari; Veronica Guidetti; Federica Mandreoli (ICDM, 2022)

Similarity and Generalization: From Noise to Corruption. - Nayara Fonseca; Veronica Guidetti (CoRR, 2022)

Real-world data mining meets clinical practice: Research challenges and perspective. - Federica Mandreoli; Davide Ferrari; Veronica Guidetti; Federico Motta; Paolo Missier (Frontiers Big Data, 2022)

Death After Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction. - Veronica Guidetti; Giovanni Dolci; Erica Franceschini; Erica Bacca; Giulia Jole Burastero; Davide Ferrari; Valentina Serra; Fabrizio Di Benedetto; Cristina Mussini; Federica Mandreoli (DSAA, 2023)

Generalizing Similarity in Noisy Setups: The DIBS Phenomenon. - Nayara Fonseca; Veronica Guidetti (ECAI, 2023)

Automated Knowledge Graph Completion for Natural Language Understanding: Known Paths and Future Directions. - Giovanni Buzzega; Veronica Guidetti; Federica Mandreoli; Luca Mariotti; Andrea Belli; Paolo Lombardi (SEBD, 2023)

Probing optimisation in physics-informed neural networks. - Nayara Fonseca; Veronica Guidetti; Will Trojak (CoRR, 2023)

Symbolic Regression for Transparent Clinical Decision Support: A Data-Centric Framework for Scoring System Development. - Veronica Guidetti; Federica Mandreoli (SEBD, 2024)

Combining large language models with enterprise knowledge graphs: a perspective on enhanced natural language understanding. - Luca Mariotti; Veronica Guidetti; Federica Mandreoli; Andrea Belli; Paolo Lombardi (Frontiers Artif. Intell., 2024)

Distilling Clinical Scores with Symbolic Machine Learning: Frailty Index, an HIV Cohort Case Study. - Veronica Guidetti; Federico Motta; Jovana Milic; Davide Ferrari; Giovanni Guaraldi; Federica Mandreoli (ICHI, 2025)

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN. - Luca Mariotti; Veronica Guidetti; Federica Mandreoli (CoRR, 2025)