Emmanuele Peluso

13 papers C 1Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Information theoretic and neural computational tools for meta-analysis of cumulative databases in the age of Big Physics experiments. Neural Comput. Appl. Andrea Murari, Michele Lungaroni, Luca Spolladore, Emmanuele Peluso, Riccardo Rossi, Michela Gelfusa
2023	J	`jnl`	Upgrades of Genetic Programming for Data-Driven Modeling of Time Series. Evol. Comput. Andrea Murari, Emmanuele Peluso, Luca Spolladore, Riccardo Rossi, Michela Gelfusa
2022	J	`jnl`	A systemic approach to classification for knowledge discovery with applications to the identification of boundary equations in complex systems. Artif. Intell. Rev. Andrea Murari, Michela Gelfusa, Michele Lungaroni, Pasquale Gaudio, Emmanuele Peluso
2020	J	`jnl`	A Refinement of Recurrence Analysis to Determine the Time Delay of Causality in Presence of External Perturbations. Entropy Emmanuele Peluso, Teddy Craciunescu, Andrea Murari
2019	J	`jnl`	Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems. Complex. Michele Lungaroni, Andrea Murari, Emmanuele Peluso, Pasqualino Gaudio, Michela Gelfusa
2019	J	`jnl`	On the Use of Entropy to Improve Model Selection Criteria. Entropy Andrea Murari, Emmanuele Peluso, Francesco Cianfrani, Pasquale Gaudio, Michele Lungaroni
2018	C	`conf`	A New Approach to Bolometric Tomography in Tokamaks. ISCAS Teddy Craciunescu, Andrea Murari, Emmanuele Peluso, Michela Gelfusa
2018	J	`jnl`	On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals. Entropy Andrea Murari, Michele Lungaroni, Emmanuele Peluso, Pasquale Gaudio, Ernesto Lerche, Luca Garzotti, Michela Gelfusa, J. E. T. Contributors
2017	—	`conf`	Complex networks for the analysis of the synchronization of time series relevant for plasma fusion diagnostics. ECCTD Teddy Craciunescu, Andrea Murari, Emmanuele Peluso, Michela Gelfusa, Michele Lungaroni, Pasqualino Gaudio
2017	—	`conf`	Deriving Realistic Mathematical Models from Support Vector Machines for Scientific Applications. KDIR Andrea Murari, Emmanuele Peluso, Saeed Talebzadeh, Pasqualino Gaudio, Michele Lungaroni, Ondrej Mikulin, Jesús Vega, Michela Gelfusa
2017	J	`jnl`	Detection of Causal Relations in Time Series Affected by Noise in Tokamaks Using Geodesic Distance on Gaussian Manifolds. Entropy Andrea Murari, Teddy Craciunescu, Emmanuele Peluso, Michela Gelfusa, J. E. T. Contributors
2016	—	`conf`	A Metric to Improve the Robustness of Conformal Predictors in the Presence of Error Bars. COPA Andrea Murari, Saeed Talebzadeh, Jesús Vega, Emmanuele Peluso, Michela Gelfusa, Michele Lungaroni, Pasqualino Gaudio
2015	—	`conf`	How to Handle Error Bars in Symbolic Regression for Data Mining in Scientific Applications. SLDS Andrea Murari, Emmanuele Peluso, Michela Gelfusa, Michele Lungaroni, Pasqualino Gaudio