Business Information Systems for the Cost/Energy Management of Water Distribution Networks: A Critical Appraisal of Alternative Optimization Strategies. - Antonio Candelieri; Bruno G. Galuzzi; Ilaria Giordani; Riccardo Perego; Francesco Archetti (BIS (Workshops), 2018)

Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks. - Antonio Candelieri; Bruno G. Galuzzi; Ilaria Giordani; Riccardo Perego; Francesco Archetti (LION, 2019)

Bayesian Optimization for Recommender System. - Bruno Giovanni Galuzzi; Ilaria Giordani; Antonio Candelieri; Riccardo Perego; Francesco Archetti (WCGO, 2019)

Vulnerability of public transportation networks against directed attacks and cascading failures. - Antonio Candelieri; Bruno G. Galuzzi; Ilaria Giordani; Francesco Archetti (Public Transp., 2019)

Learning Optimal Control of Water Distribution Networks Through Sequential Model-Based Optimization. - Antonio Candelieri; Bruno G. Galuzzi; Ilaria Giordani; Francesco Archetti (LION, 2020)

Optimal Scenario-Tree Selection for Multistage Stochastic Programming. - Bruno G. Galuzzi; Enza Messina; Antonio Candelieri; Francesco Archetti (LOD (1), 2020)

Hyperparameter optimization for recommender systems through Bayesian optimization. - Bruno G. Galuzzi; Ilaria Giordani; Antonio Candelieri; Riccardo Perego; Francesco Archetti (Comput. Manag. Sci., 2020)

OCTIS: Comparing and Optimizing Topic models is Simple! - Silvia Terragni; Elisabetta Fersini; Bruno Giovanni Galuzzi; Pietro Tropeano; Antonio Candelieri (EACL (System Demonstrations), 2021)

A Decision Support System in the Context of an Applied Game for Telerehabilitation. - Mauro Maria Baldi; Petar Aleksandrov Mavrodiev; Bruno Giovanni Galuzzi; Fabrizia Mantovani; Olivia Realdon; Enza Messina (ICDH, 2021)

Best Practices in Flux Sampling of Constrained-Based Models. - Bruno G. Galuzzi; Luca Milazzo; Chiara Damiani (LOD (2), 2022)

An Efficient Implementation of Flux Variability Analysis for Metabolic Networks. - Bruno G. Galuzzi; Chiara Damiani (WIVACE, 2022)

Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells. - Bruno G. Galuzzi; Marco Vanoni; Chiara Damiani (BMC Bioinform., 2022)

Machine Learning for Efficient Prediction of Protein Redox Potential: The Flavoproteins Case. - Bruno Giovanni Galuzzi; Antonio Mirarchi; Edoardo Luca Viganò; Luca De Gioia; Chiara Damiani; Federica Arrigoni (J. Chem. Inf. Model., 2022)

INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation. - Marzia Di Filippo; Dario Pescini; Bruno Giovanni Galuzzi; Marcella Bonanomi; Daniela Gaglio; Eleonora Mangano; Clarissa Consolandi; Lilia Alberghina; Marco Vanoni; Chiara Damiani (PLoS Comput. Biol., 2022)

Identifying Damage-Related Features in scRNA-seq Data. - Giovanni Marteletto; Bruno G. Galuzzi; Chiara Damiani (CIBB, 2023)

Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity. - Bruno G. Galuzzi; Stefano Izzo; Fabio Giampaolo; Salvatore Cuomo; Marco Vanoni; Lilia Alberghina; Chiara Damiani; Francesco Piccialli (PDP, 2023)

scFBApy: A Python Framework for Super-Network Flux Balance Analysis. - Bruno G. Galuzzi; Chiara Damiani (WIVACE, 2023)

MicroRNAs as Biomarkers for Ulcerative Colitis. - Flaminia Tani; Gloria Bertoli; Bruno Giovanni Galuzzi (CIBB, 2024)

Adjusting for false discoveries in constraint-based differential metabolic flux analysis. - Bruno G. Galuzzi; Luca Milazzo; Chiara Damiani (J. Biomed. Informatics, 2024)

Classification methods based on κ-logistic models. - Mauro Maria Baldi; Bruno Giovanni Galuzzi; Enza Messina; Giorgio Kaniadakis (Math. Comput. Simul., 2026)