Advanced Techniques for the Modeling and Simulation of Energy Networks von Stievano, Igor Simone, Trinchero, Riccardo

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A Data Compression Strategy for the Efficient Uncertainty Quantification of Time-Domain Circuit Responses von Manfredi, Paolo, Trinchero, Riccardo

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A high‐efficiency portable system for insulation condition assessment of wind farm inter‐array cables with double‐sided partial discharge detection and localisation von Yan, Yuan, Zhao, Yinsong, Zhao, Kun, Trinchero, Riccardo, Stievano, Igor Simone, Li, Hongjie

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Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices With a Large Number of Parameters von Trinchero, Riccardo, Larbi, Mourad, Torun, Hakki M., Canavero, Flavio G., Swaminathan, Madhavan

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A Statistical Assessment of Blending Hydrogen into Gas Networks von Vaccariello, Enrico, Trinchero, Riccardo, Stievano, Igor S., Leone, Pierluigi

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Multiple Delay Identification in Long Interconnects via LS-SVM Regression von Treviso, Felipe, Trinchero, Riccardo, Canavero, Flavio G.

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Compressed Machine Learning Models for the Uncertainty Quantification of Power Distribution Networks von Memon, Zain Anwer, Trinchero, Riccardo, Manfredi, Paolo, Canavero, Flavio, Stievano, Igor S.

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A Probabilistic Machine Learning Approach for the Uncertainty Quantification of Electronic Circuits Based on Gaussian Process Regression von Manfredi, Paolo, Trinchero, Riccardo

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An Iterative Scheme for the Power-Flow Analysis of Distribution Networks based on Decoupled Circuit Equivalents in the Phasor Domain von Memon, Zain Anwer, Trinchero, Riccardo, Xie, Yanzhao, Canavero, Flavio G., Stievano, Igor S.

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Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines von Manfredi, Paolo, Trinchero, Riccardo

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Behavioral, Parameterized, and Broadband Modeling of Wired Interconnects With Internal Discontinuities von Grivet-Talocia, Stefano, Trinchero, Riccardo

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Compressed Complex-Valued Least Squares Support Vector Machine Regression for Modeling of the Frequency-Domain Responses of Electromagnetic Structures von Soleimani, Nastaran, Trinchero, Riccardo

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Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications von Soleimani, Nastaran, Trinchero, Riccardo, Canavero, Flavio G.

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Machine Learning Regression Techniques for the Modeling of Complex Systems: An Overview von Trinchero, Riccardo, Canavero, Flavio

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A fast fuel cell parametric identification approach based on machine learning inverse models von Guarino, Antonio, Trinchero, Riccardo, Canavero, Flavio, Spagnuolo, Giovanni

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Analysis of the Coupling of Overhead Lines Excited by Indirect Lightning Considering Dispersive Soil Water Percentage von Yang, Chengpan, Zhu, Feng, Trinchero, Riccardo, Stievano, Igor Simone

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Steady-State Response of Periodically Switched Linear Circuits via Augmented Time-Invariant Nodal Analysis von Trinchero, Riccardo, Canavero, Flavio G., Stievano, Igor S.

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Compressed Machine Learning-Based Inverse Model for Design Optimization of Microwave Components von Sedaghat, Mostafa, Trinchero, Riccardo, Firouzeh, Zaker Hossein, Canavero, Flavio G.

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A perturbative stochastic Galerkin method for the uncertainty quantification of linear circuits von Manfredi, Paolo, Trinchero, Riccardo, Vande Ginste, Dries

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Combining LS-SVM and GP Regression for the Uncertainty Quantification of the EMI of Power Converters Affected by Several Uncertain Parameters von Trinchero, Riccardo, Canavero, Flavio G.

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