Publications

Preprints

• Valentina Ghidini, Michael Multerer, Jacopo Quizi, Rohan Sen (2024) Observation-specific explanations through scattered data approximation (link)

Refereed Journals

• Borgonovo, E., Ghidini, V., Hahn, R., Plischke, E. ★ (2023) Explaining Classifiers with Measures of Statistical Association, Computational Statistics & Data Analysis, (182)107701. (pdf)

Refereed Conference Proceedings

• Ghidini, V.; (2023) Unlocking the mysteries of regression with Statistics. xAI2023: Communications in Computer and Information Science, vol 1901. (pdf).

• Ascolani, F., Ghidini, V., (2023) Posterior clustering for Dirichlet Process Mixtures of Gaussians with constant data, Book of Short Papers CLADAG 2023, 42-45. (pdf)

• Ascolani, F., Ghidini, V., ★ (2023) Linear models with assumptions-free residuals: a Bayesian Nonparametric approach, Book of short papers SIS 2023, 253-256. (pdf)

• Ghidini, V., Legramanti, S., Argiento, R.; (2023) Binomial Extended Stochastic Block Model for Brain Networks. Book of short papers SIS 2023, 1121-1126. (pdf)

• Ghidini, V., Legramanti, S., Argiento, R.; (2023) Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks. Bayesian Statistics, New Generations New Approaches (BAYSM2022), 435, 47-56.

• Ghidini, V., Perotti, A., Schifanella, R.; (2019) Quantitative and Ontology-Based Comparison of Explanations for Image Classification. Lecture Notes in Computer Science 11943, 58-70. (pdf)

★ Authors in alphabetical order