MALIBOO: When Machine Learning meets Bayesian Optimization. - Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi (SmartCloud, 2022)

Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach. - Gianluca Palermo; Gianmarco Accordi; Davide Gadioli; Emanuele Vitali; Cristina Silvano; Bruno Guindani; Danilo Ardagna; Andrea Rosario Beccari; Domenico Bonanni; Carmine Talarico; Filippo Lunghini; Jan Martinovic; et al. (CF, 2023)

aMLLibrary: An AutoML Approach For Performance Prediction. - Bruno Guindani; Marco Lattuada 001; Danilo Ardagna (ECMS, 2023)

OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications. - Enrico Galimberti; Bruno Guindani; Federica Filippini; Hamta Sedghani; Danilo Ardagna; Germán Moltó; Miguel Caballer (ICPE (Companion), 2023)

LIGATE - LIgand Generator and portable drug discovery platform AT Exascale. - Gianluca Palermo; Gianmarco Accordi; Davide Gadioli; Yuedong Zhang; Emanuele Vitali; Bruno Guindani; Danilo Ardagna; Cristina Silvano; Andrea Rosario Beccari; Domenico Bonanni; Carmine Talarico; Filippo Lunghini; et al. (CF (Companion), 2024)

d-MALIBOO: a Bayesian Optimization framework for dealing with Discrete Variables. - Roberto Sala; Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi (MASCOTS, 2024)

Exploring the Utility of Graph Methods in HPC Thermal Modeling. - Bruno Guindani; Martin Molan; Andrea Bartolini; Luca Benini (ICPE (Companion), 2024)

Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems. - Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi; Roberto Rocco; Gianluca Palermo (IEEE Trans. Cloud Comput., 2024)

Leveraging LLMs to Automate Software Architecture Design from Informal Specifications. - Alberto Tagliaferro; Simone Corbo; Bruno Guindani (ICSA Companion, 2025)

Efficient parameter tuning for a structure-based virtual screening HPC application. - Bruno Guindani; Davide Gadioli; Roberto Rocco; Danilo Ardagna; Gianluca Palermo (J. Parallel Distributed Comput., 2025)

OSCAR-P and aMLLibrary: Profiling and predicting the performance of FaaS-based applications in computing continua. - Roberto Sala; Bruno Guindani; Enrico Galimberti; Federica Filippini; Hamta Sedghani; Danilo Ardagna; Sebastián Risco; Germán Moltó; Miguel Caballer (J. Syst. Softw., 2025)

BayesMix: Bayesian Mixture Models in C++. - Mario Beraha; Bruno Guindani; Matteo Gianella; Alessandra Guglielmi (J. Stat. Softw., 2025)

Discrete Bayesian Optimization via Machine Learning. - Roberto Sala; Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi (Perform. Evaluation, 2025)