Missing Values in Multiple Joint Inference of Gaussian Graphical Models. - Veronica Tozzo; Davide Garbarino; Annalisa Barla (PGM, 2020)

A Robust Method for Statistical Testing of Empirical Power-Law Distributions. - Davide Garbarino; Veronica Tozzo; Andrea Vian; Annalisa Barla (WAW, 2020)

Attributed Graphettes-Based Preterm Infants Motion Analysis. - Davide Garbarino; Matteo Moro; Chiara Tacchino; Paolo Moretti; Maura Casadio; Francesca Odone; Annalisa Barla (COMPLEX NETWORKS, 2021)

Statistical Models Coupling Allows for Complex Local Multivariate Time Series Analysis. - Veronica Tozzo; Federico Ciech; Davide Garbarino; Alessandro Verri (KDD, 2021)

Predicting Tennis Match Outcomes with Network Analysis and Machine Learning. - Firas Bayram; Davide Garbarino; Annalisa Barla (SOFSEM, 2021)

Acknowledging the structured nature of real-world data with graphs embeddings and probabilistic inference methods. - Davide Garbarino (2022)

Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks. - Daniele Pretolesi; Davide Garbarino; Daniele Giampaoli; Andrea Vian; Annalisa Barla (IEEE Trans. Emerg. Top. Comput., 2024)