How to Handle Error Bars in Symbolic Regression for Data Mining in Scientific Applications. - Andrea Murari; Emmanuele Peluso; Michela Gelfusa; Michele Lungaroni; Pasqualino Gaudio (SLDS, 2015)

A Metric to Improve the Robustness of Conformal Predictors in the Presence of Error Bars. - Andrea Murari; Saeed Talebzadeh; Jesús Vega; Emmanuele Peluso; Michela Gelfusa; Michele Lungaroni; Pasqualino Gaudio (COPA, 2016)

Complex networks for the analysis of the synchronization of time series relevant for plasma fusion diagnostics. - Teddy Craciunescu; Andrea Murari; Emmanuele Peluso; Michela Gelfusa; Michele Lungaroni; Pasqualino Gaudio (ECCTD, 2017)

Deriving Realistic Mathematical Models from Support Vector Machines for Scientific Applications. - Andrea Murari; Emmanuele Peluso; Saeed Talebzadeh; Pasqualino Gaudio; Michele Lungaroni; Ondrej Mikulin; Jesús Vega; Michela Gelfusa (KDIR, 2017)

Detection of Causal Relations in Time Series Affected by Noise in Tokamaks Using Geodesic Distance on Gaussian Manifolds. - Andrea Murari; Teddy Craciunescu; Emmanuele Peluso; Michela Gelfusa; J. E. T. Contributors (Entropy, 2017)

A New Approach to Bolometric Tomography in Tokamaks. - Teddy Craciunescu; Andrea Murari; Emmanuele Peluso; Michela Gelfusa (ISCAS, 2018)

On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals. - Andrea Murari; Michele Lungaroni; Emmanuele Peluso; Pasquale Gaudio; Ernesto Lerche; Luca Garzotti; Michela Gelfusa; J. E. T. Contributors (Entropy, 2018)

Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems. - Michele Lungaroni; Andrea Murari; Emmanuele Peluso; Pasqualino Gaudio; Michela Gelfusa (Complex., 2019)

On the Use of Entropy to Improve Model Selection Criteria. - Andrea Murari; Emmanuele Peluso; Francesco Cianfrani; Pasquale Gaudio; Michele Lungaroni (Entropy, 2019)

A Refinement of Recurrence Analysis to Determine the Time Delay of Causality in Presence of External Perturbations. - Emmanuele Peluso; Teddy Craciunescu; Andrea Murari (Entropy, 2020)

A systemic approach to classification for knowledge discovery with applications to the identification of boundary equations in complex systems. - Andrea Murari; Michela Gelfusa; Michele Lungaroni; Pasquale Gaudio; Emmanuele Peluso (Artif. Intell. Rev., 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)