SOLEIMANI, NASTARAN

SOLEIMANI, NASTARAN  

Dipartimento di Elettronica e Telecomunicazioni  

060366  

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Citazione Data di pubblicazione Autori File
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Parametric Modeling of the Frequency-Response of a High-Speed Link / Soleimani, Nastaran; Trinchero, Riccardo. - ELETTRONICO. - (2023). (Intervento presentato al convegno 35th URSI General Assembly and Scientific Symposium (URSI GASS 2023) tenutosi a Sapporo, Japan nel 19-26 August 2023) [10.23919/URSIGASS57860.2023.10265393]. 1-gen-2023 Soleimani, NastaranTrinchero, Riccardo URSI_GASS2023_Sylv_vector_KRR.pdfEfficient_Implementation_of_the_Vector-Valued_Kernel_Ridge_Regression_for_the_Parametric_Modeling_of_the_Frequency-Response_of_a_High-Speed_Link.pdf
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier / Soleimani, Nastaran; Manfredi, Paolo; Trinchero, Riccardo. - ELETTRONICO. - (2023), pp. 143-146. (Intervento presentato al convegno IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO'2023) tenutosi a Winnipeg, MB, Canada nel 28-30 June 2023). 1-gen-2023 Soleimani, NastaranManfredi, PaoloTrinchero, Riccardo NEMO2023_UQ_LNA_Vector_Valued_KRR (2).pdfSoleimani-Efficient.pdf
Modeling of a High-Speed Link Based on an Efficient Implementation of Vector-Valued Machine Learning Kernel Regression / Soleimani, Nastaran; Trinchero, Riccardo; Canavero, Flavio. - ELETTRONICO. - (2023). (Intervento presentato al convegno 21ème Colloque International et Exposition sur la Compatibilité ÉlectroMagnétique (CEM 2023) tenutosi a Toulouse, France nel 13-15 juin 2023). 1-gen-2023 Soleimani, NastaranTrinchero, RiccardoCanavero, Flavio CEM2023_NoisyMO_KRR.pdf
Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links / Soleimani, Nastaran; Trinchero, Riccardo; Canavero, Flavio. - ELETTRONICO. - (2022), pp. 1-4. (Intervento presentato al convegno 2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO) tenutosi a Limoges, France nel 06-08 July 2022) [10.1109/NEMO51452.2022.10038963]. 1-gen-2022 Soleimani, NastaranTrinchero, RiccardoCanavero, Flavio Soleimani_NEMO2022_FINAL.pdfVector-Valued_Kernel_Ridge_Regression_for_the_Modeling_of_High-Speed_Links.pdf
Application of Different Learning Methods for the Modelling of Microstrip Characteristics / Soleimani, N.; Trinchero, R.; Canavero, F.. - 2020-:(2020), pp. 1-3. (Intervento presentato al convegno 2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020 tenutosi a chn nel 2020) [10.1109/EDAPS50281.2020.9312887]. 1-gen-2020 Soleimani N.Trinchero R.Canavero F. EDAPS20_Soleimani.pdf09312887.pdf