Improved Treatment of the Independent Variables for the Deployment of Model Selection Criteria in the Analysis of Complex Systems. - Luca Spolladore; Michela Gelfusa; Riccardo Rossi; Andrea Murari (Entropy, 2021)

Complexity: Frontiers in Data-Driven Methods for Understanding, Prediction, and Control of Complex Systems 2022 on the Development of Information Theoretic Model Selection Criteria for the Analysis of Experimental Data. - Andrea Murari; Michele Lungaroni; Riccardo Rossi; Luca Spolladore; Michela Gelfusa (Complex., 2022)

Upgrades of Genetic Programming for Data-Driven Modeling of Time Series. - Andrea Murari; Emmanuele Peluso; Luca Spolladore; Riccardo Rossi; Michela Gelfusa (Evol. Comput., 2023)

Information theoretic and neural computational tools for meta-analysis of cumulative databases in the age of Big Physics experiments. - Andrea Murari; Michele Lungaroni; Luca Spolladore; Emmanuele Peluso; Riccardo Rossi; Michela Gelfusa (Neural Comput. Appl., 2023)

Combining dimensional and statistical analysis for efficient data driven modelling of complex systems. - Andrea Murari; Luca Spolladore; Riccardo Rossi; Michela Gelfusa (Inf. Sci., 2023)

A practical utility-based but objective approach to model selection for regression in scientific applications. - Andrea Murari; Riccardo Rossi; Luca Spolladore; Michele Lungaroni; Pasquale Gaudio; Michela Gelfusa (Artif. Intell. Rev., 2023)

Informed machine learning to reconcile interpretability with fidelity in scientific applications. - Andrea Murari; Riccardo Rossi; Luca Spolladore; Ivan Wyss; Michela Gelfusa (Artif. Intell. Rev., 2025)