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2020 – today
- 2023
[j18]Andrea Murari
, Riccardo Rossi, Michela Gelfusa:
Combining neural computation and genetic programming for observational causality detection and causal modelling. Artif. Intell. Rev. 56(7): 6365-6401 (2023)- [j17]Andrea Murari, Riccardo Rossi, Luca Spolladore, Michele Lungaroni, Pasquale Gaudio, Michela Gelfusa:
A practical utility-based but objective approach to model selection for regression in scientific applications. Artif. Intell. Rev. 56(S2): 2825-2859 (2023) - [j16]Andrea Murari, Emmanuele Peluso, Luca Spolladore, Riccardo Rossi, Michela Gelfusa:
Upgrades of Genetic Programming for Data-Driven Modeling of Time Series. Evol. Comput. 31(4): 401-432 (2023) - [j15]Andrea Murari, Luca Spolladore, Riccardo Rossi, Michela Gelfusa:
Combining dimensional and statistical analysis for efficient data driven modelling of complex systems. Inf. Sci. 644: 119243 (2023) - [j14]Andrea Murari, Michele Lungaroni, Luca Spolladore, Emmanuele Peluso, Riccardo Rossi, Michela Gelfusa:
Information theoretic and neural computational tools for meta-analysis of cumulative databases in the age of Big Physics experiments. Neural Comput. Appl. 35(1): 469-486 (2023) - 2022
- [j13]Andrea Murari, Michela Gelfusa, Michele Lungaroni, Pasquale Gaudio, Emmanuele Peluso:
A systemic approach to classification for knowledge discovery with applications to the identification of boundary equations in complex systems. Artif. Intell. Rev. 55(1): 255-289 (2022) - [j12]Andrea Murari, Michele Lungaroni, Riccardo Rossi, Luca Spolladore, Michela Gelfusa:
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. Complex. 2022: 9518303:1-9518303:12 (2022) - 2021
- [j11]Riccardo Rossi, Michela Gelfusa, Filippo De Masi, Matteo Ossidi, Andrea Murari:
The Reciprocal Influence Criterion: An Upgrade of the Information Quality Ratio. Complex. 2021: 9426547:1-9426547:14 (2021) - [j10]Luca Spolladore, Michela Gelfusa, Riccardo Rossi, Andrea Murari:
Improved Treatment of the Independent Variables for the Deployment of Model Selection Criteria in the Analysis of Complex Systems. Entropy 23(9): 1202 (2021) - 2020
- [j9]Andrea Murari, Riccardo Rossi, Michele Lungaroni, Pasquale Gaudio, Michela Gelfusa:
Quantifying Total Influence between Variables with Information Theoretic and Machine Learning Techniques. Entropy 22(2): 141 (2020) - [j8]Riccardo Rossi, Andrea Murari, Pasquale Gaudio, Michela Gelfusa:
Upgrading Model Selection Criteria with Goodness of Fit Tests for Practical Applications. Entropy 22(4): 447 (2020) - [j7]Teddy Craciunescu, Andrea Murari, Ernesto Lerche, Michela Gelfusa, J. E. T. Contributors:
Image-Based Methods to Investigate Synchronization between Time Series Relevant for Plasma Fusion Diagnostics. Entropy 22(7): 775 (2020) - [j6]Riccardo Rossi, Michela Gelfusa, Andrea Malizia, Pasqualino Gaudio:
Adaptive Quasi-Unsupervised Detection of Smoke Plume by LiDAR. Sensors 20(22): 6602 (2020)
2010 – 2019
- 2019
- [j5]Michele Lungaroni, Andrea Murari, Emmanuele Peluso, Pasqualino Gaudio, Michela Gelfusa:
Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems. Complex. 2019: 5986562:1-5986562:24 (2019) - [j4]Teddy Craciunescu, Andrea Murari, Michela Gelfusa:
Causality Detection Methods Applied to the Investigation of Malaria Epidemics. Entropy 21(8): 784 (2019) - 2018
- [j3]Andrea Murari, Michele Lungaroni, Emmanuele Peluso, Pasquale Gaudio, Ernesto Lerche, Luca Garzotti, Michela Gelfusa, J. E. T. Contributors:
On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals. Entropy 20(9): 627 (2018) - [j2]Teddy Craciunescu, Andrea Murari, Michela Gelfusa:
Improving Entropy Estimates of Complex Network Topology for the Characterization of Coupling in Dynamical Systems. Entropy 20(11): 891 (2018) - [c5]Teddy Craciunescu, Andrea Murari, Emmanuele Peluso, Michela Gelfusa:
A New Approach to Bolometric Tomography in Tokamaks. ISCAS 2018: 1-4 - 2017
- [j1]Andrea Murari, Teddy Craciunescu, Emmanuele Peluso, Michela Gelfusa, J. E. T. Contributors:
Detection of Causal Relations in Time Series Affected by Noise in Tokamaks Using Geodesic Distance on Gaussian Manifolds. Entropy 19(10): 569 (2017) - [c4]Teddy Craciunescu, Andrea Murari, Emmanuele Peluso, Michela Gelfusa, Michele Lungaroni, Pasqualino Gaudio:
Complex networks for the analysis of the synchronization of time series relevant for plasma fusion diagnostics. ECCTD 2017: 1-4 - [c3]Andrea Murari, Emmanuele Peluso, Saeed Talebzadeh, Pasqualino Gaudio, Michele Lungaroni, Ondrej Mikulin, Jesús Vega, Michela Gelfusa:
Deriving Realistic Mathematical Models from Support Vector Machines for Scientific Applications. KDIR 2017: 102-113 - 2016
- [c2]Andrea Murari, Saeed Talebzadeh, Jesús Vega, Emmanuele Peluso, Michela Gelfusa, Michele Lungaroni, Pasqualino Gaudio:
A Metric to Improve the Robustness of Conformal Predictors in the Presence of Error Bars. COPA 2016: 105-115 - 2015
- [c1]Andrea Murari, Emmanuele Peluso, Michela Gelfusa, Michele Lungaroni, Pasqualino Gaudio:
How to Handle Error Bars in Symbolic Regression for Data Mining in Scientific Applications. SLDS 2015: 347-355
Coauthor Index
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