Michela Gelfusa

27 papers B 1C 1Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the use of autoencoders to study the dynamics and the causality relations of complex systems with applications to nuclear fusion. Comput. Phys. Commun. Riccardo Rossi, Andrea Murari, Teddy Craciunescu, Novella Rutigliano, Ivan Wyss, Jesús Vega, Pasquale Gaudio, Michela Gelfusa
2025	J	`jnl`	A deep learning framework for feature selection and dimensional analysis: Variational explainable neural networks. Knowl. Based Syst. Riccardo Rossi, Andrea Murari, Michela Gelfusa
2025	B	`conf`	Direct-Modelling in Nuclear Fusion by Combining Data-Integration and Physics-Informed Neural Networks. IJCNN Riccardo Rossi, Michela Gelfusa, Novella Rutigliano, Pasquale Gaudio, Andrea Murari
2025	J	`jnl`	Informed machine learning to reconcile interpretability with fidelity in scientific applications. Artif. Intell. Rev. Andrea Murari, Riccardo Rossi, Luca Spolladore, Ivan Wyss, Michela Gelfusa
2023	J	`jnl`	A practical utility-based but objective approach to model selection for regression in scientific applications. Artif. Intell. Rev. Andrea Murari, Riccardo Rossi, Luca Spolladore, Michele Lungaroni, Pasquale Gaudio, Michela Gelfusa
2023	J	`jnl`	Combining dimensional and statistical analysis for efficient data driven modelling of complex systems. Inf. Sci. Andrea Murari, Luca Spolladore, Riccardo Rossi, Michela Gelfusa
2023	J	`jnl`	Combining neural computation and genetic programming for observational causality detection and causal modelling. Artif. Intell. Rev. Andrea Murari, Riccardo Rossi, Michela Gelfusa
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
2022	J	`jnl`	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. Andrea Murari, Michele Lungaroni, Riccardo Rossi, Luca Spolladore, Michela Gelfusa
2021	J	`jnl`	Improved Treatment of the Independent Variables for the Deployment of Model Selection Criteria in the Analysis of Complex Systems. Entropy Luca Spolladore, Michela Gelfusa, Riccardo Rossi, Andrea Murari
2021	J	`jnl`	The Reciprocal Influence Criterion: An Upgrade of the Information Quality Ratio. Complex. Riccardo Rossi, Michela Gelfusa, Filippo De Masi, Matteo Ossidi, Andrea Murari
2020	J	`jnl`	Adaptive Quasi-Unsupervised Detection of Smoke Plume by LiDAR. Sensors Riccardo Rossi, Michela Gelfusa, Andrea Malizia, Pasqualino Gaudio
2020	J	`jnl`	Image-Based Methods to Investigate Synchronization between Time Series Relevant for Plasma Fusion Diagnostics. Entropy Teddy Craciunescu, Andrea Murari, Ernesto Lerche, Michela Gelfusa, J. E. T. Contributors
2020	J	`jnl`	Quantifying Total Influence between Variables with Information Theoretic and Machine Learning Techniques. Entropy Andrea Murari, Riccardo Rossi, Michele Lungaroni, Pasquale Gaudio, Michela Gelfusa
2020	J	`jnl`	Upgrading Model Selection Criteria with Goodness of Fit Tests for Practical Applications. Entropy Riccardo Rossi, Andrea Murari, Pasquale Gaudio, Michela Gelfusa
2019	J	`jnl`	Causality Detection Methods Applied to the Investigation of Malaria Epidemics. Entropy Teddy Craciunescu, Andrea Murari, Michela Gelfusa
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
2018	C	`conf`	A New Approach to Bolometric Tomography in Tokamaks. ISCAS Teddy Craciunescu, Andrea Murari, Emmanuele Peluso, Michela Gelfusa
2018	J	`jnl`	Improving Entropy Estimates of Complex Network Topology for the Characterization of Coupling in Dynamical Systems. Entropy Teddy Craciunescu, Andrea Murari, 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