| Explaining classifiers with measures of statistical association E Borgonovo, V Ghidini, R Hahn, E Plischke Computational Statistics & Data Analysis 182, 107701, 2023 | 4 | 2023 |
| Quantitative and ontology-based comparison of explanations for image classification V Ghidini, A Perotti, R Schifanella Machine Learning, Optimization, and Data Science: 5th International …, 2019 | 4 | 2019 |
| The Xi Method: Unlocking the Mysteries of Regression with Statistics V Ghidini World Conference on Explainable Artificial Intelligence, 97-114, 2023 | 2 | 2023 |
| Statistics and explainability: a fruitful alliance V Ghidini arXiv preprint arXiv:2404.19301, 2024 | | 2024 |
| Observation-specific explanations through scattered data approximation V Ghidini, M Multerer, J Quizi, R Sen arXiv preprint arXiv:2404.08747, 2024 | | 2024 |
| From post hoc explanations to Bayesian nonparametric models: unveiling hidden structures V Ghidini Università Bocconi, 2024 | | 2024 |
| POSTERIOR CLUSTERING FOR DIRICHLET PROCESS MIXTURES OF GAUSSIANS WITH CONSTANT DATA FAV Ghidini CLADAG, 42, 2023 | | 2023 |
| Binomial Extended Stochastic Block Model for Brain Networks V Ghidini, S Legramanti, R Argiento Book of the Short Papers SIS 2023, 1121-1126, 2023 | | 2023 |
| Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks V Ghidini, S Legramanti, R Argiento International Conference on Bayesian Statistics in Action, 47-56, 2022 | | 2022 |
