TRINCHERO, RICCARDO

TRINCHERO, RICCARDO  

Dipartimento di Elettronica e Telecomunicazioni  

029126  

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Risultati 1 - 20 di 35 (tempo di esecuzione: 0.032 secondi).
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
Surrogate Eye Modeling for the Statistical Assessment of a Smart Textile Interconnect / Telescu, Mihai; Trinchero, Riccardo; Tanguy, Noel; Stievano, Igor S.. - ELETTRONICO. - (2023). (Intervento presentato al convegno SPI 2023 - 27th IEEE Workshop on Signal and Power Integrity tenutosi a Aveiro, Portugal nel May 7-10, 2023) [10.1109/spi57109.2023.10145573]. 1-gen-2023 Trinchero, RiccardoStievano, Igor S. + cnf-2023-spi-stkeye-author.pdfcnf-2023-spi-stkeye-ieee.pdf
A probabilistic Gaussian process regression approach to uncertainty quantification in electromagnetic compatibility investigations / Manfredi, Paolo; Trinchero, Riccardo. - ELETTRONICO. - (2022), pp. 1-1. (Intervento presentato al convegno 3rd URSI Atlantic Radio Science meeting (AT-AP-RASC 2022) tenutosi a Gran Canaria, Spagna nel 29 maggio - 3 giugno 2022). 1-gen-2022 paolo manfrediriccardo trinchero manfredi-AT-AP-RASC-2022-abstract-ieee-compliant.pdf
Machine Learning-Based Uncertainty Quantification of Passive Intermodulation in Aluminum Contact / Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G.. - ELETTRONICO. - (2022), pp. 1-4. (Intervento presentato al convegno 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC) tenutosi a Gran Canaria, Spain nel 30 May 2022 - 04 June 2022) [10.23919/AT-AP-RASC54737.2022.9814426]. 1-gen-2022 Treviso, FelipeTrinchero, RiccardoCanavero, Flavio G. YSASummaryTrevisoFelipe.pdfTreviso-MachineLearning.pdf
Vector Fitting of Noisy Frequency Responses via Smoothing Regularization / Carlucci, A.; Zanco, A.; Trinchero, R.; Grivet-Talocia, S.. - ELETTRONICO. - (2022), pp. 1-3. (Intervento presentato al convegno 2022 IEEE 26th Workshop on Signal and Power Integrity (SPI) tenutosi a Siegen, Germany nel 22-25 May 2022) [10.1109/SPI54345.2022.9874941]. 1-gen-2022 Carlucci, A.Zanco, A.Trinchero, R.Grivet-Talocia, S. cnf-2022-spi-vf-smoothing-ieee.pdfcnf-2022-spi-vf-smoothing.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
Worst-Case Optimization of a Digital Link for Wearable Electronics in a Stochastic Framework / Telescu, M.; Trinchero, R.; Stievano, I. S.; Tanguy, N.. - ELETTRONICO. - (2022), pp. 1-4. (Intervento presentato al convegno 2022 IEEE 26th Workshop on Signal and Power Integrity (SPI) tenutosi a Siegen, Germany nel May 22-25, 2022) [10.1109/SPI54345.2022.9874928]. 1-gen-2022 Trinchero R.Stievano I. S. + cnf-2022-SPI-ieee.pdfcnf-2022-SPI-authorscopy.pdf
A Nonparametric Surrogate Model for Stochastic Crosstalk Analysis Including Confidence Bounds / Manfredi, Paolo; Trinchero, Riccardo. - ELETTRONICO. - (2021), pp. 1-4. (Intervento presentato al convegno 2021 IEEE 25th Workshop on Signal and Power Integrity tenutosi a Siegen, Germany nel 10-12 May 2021) [10.1109/spi52361.2021.9505176]. 1-gen-2021 Paolo ManfrediRiccardo Trinchero manfredi-SPI-2021-final.pdfcnf-2021-SPI.pdf
Compressed Machine Learning-Based Inverse Model for the Design of Microwave Filters / Sedaghat, Mostafa; Trinchero, Riccardo; Canavero, Flavio. - ELETTRONICO. - (2021). (Intervento presentato al convegno MTT-S International Microwave Symposium (IMS) tenutosi a Atlanta, GA, USA nel 7-25 June 2021) [10.1109/IMS19712.2021.9574884]. 1-gen-2021 Mostafa, SedaghatRiccardo, TrincheroFlavio, Canavero IMS2021_Mostafa Sedaghat.pdfSedaghat-Compressed.pdf
Statistical crosstalk analysis via probabilistic machine learning surrogates / Manfredi, Paolo; Trinchero, Riccardo. - ELETTRONICO. - (2021), pp. 1-3. (Intervento presentato al convegno IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS 2021) tenutosi a Austin, TX, USA nel 17-20 ottobre 2021) [10.1109/EPEPS51341.2021.9609229]. 1-gen-2021 Manfredi, PaoloTrinchero, Riccardo manfredi-EPEPS-2021-final.pdfcnf-2021-EPEPS.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
Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems / Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G.. - ELETTRONICO. - (2020), pp. 1-4. (Intervento presentato al convegno 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science tenutosi a Rome, Italy nel 29 Aug.-5 Sept. 2020) [10.23919/URSIGASS49373.2020.9232325]. 1-gen-2020 Treviso, FelipeTrinchero, RiccardoCanavero, Flavio G. Treviso2020-machine learning id delay.pdfTreviso-Machine.pdf
Modeling of the Maximum Induced Currents in Automotive Radiated Immunity Tests via Thevenin-based Metamodels / Trinchero, R.; Stievano, I. S.; Canavero, F.. - ELETTRONICO. - (2020), pp. 1-4. (Intervento presentato al convegno 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, EMC EUROPE 2020 tenutosi a ita nel 2020) [10.1109/EMCEUROPE48519.2020.9245759]. 1-gen-2020 Trinchero R.Stievano I. S.Canavero F. 09245759.pdfPID6443239.pdf
Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices / Trinchero, Riccardo; Canavero, Flavio. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 3:(2020), p. 3. (Intervento presentato al convegno 1st International Electronic Conference - Futuristic Applications on Electronics session nel 01/11/2020 - 30/11/2020) [10.3390/iec2020-06967]. 1-gen-2020 Riccardo TrincheroFlavio Canavero Trinchero_IEC2020_GP+AL_approved.pdfmanuscript.pdf
A Hierarchical Approach to the Stochastic Analysis of Transmission Lines via Polynomial Chaos / Manfredi, P.; Trinchero, R.. - ELETTRONICO. - (2019), pp. 1-4. (Intervento presentato al convegno 23rd IEEE Workshop on Signal and Power Integrity (SPI 2019) tenutosi a Chambery (Francia) nel 2019) [10.1109/SaPIW.2019.8781644]. 1-gen-2019 Manfredi P.Trinchero R. manfredi-paper-final.pdf
Design of high-speed links via a machine learning surrogate model for the inverse problem / Trinchero, R.; Dolatsara, M. A.; Roy, K.; Swaminathan, M.; Canavero, F.. - (2019), pp. 1-3. (Intervento presentato al convegno 2019 Electrical Design of Advanced Packaging and Systems Symposium, EDAPS 2019 tenutosi a Taiwan nel 2019) [10.1109/EDAPS47854.2019.9011627]. 1-gen-2019 Trinchero R.Canavero F. + 09011627.pdfPID6225283.pdf
Inverse Design of Transmission Lines with Deep Learning / Roy, K.; Dolatsara, M. A.; Torun, H. M.; Trinchero, R.; Swaminathan, M.. - ELETTRONICO. - (2019), pp. 1-3. (Intervento presentato al convegno 28th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2019 tenutosi a McGill University Campus, can nel 2019) [10.1109/EPEPS47316.2019.193220]. 1-gen-2019 Trinchero R. + 09073168.pdfEPEPS_2019_Kallol_Roy_Inverse_Design.pdf
Machine Learning for the Design of a Distribution Network for High-Speed Signals / Trinchero, R.; Canavero, F. G.. - ELETTRONICO. - (2019), pp. 1038-1041. (Intervento presentato al convegno 2019 International Conference on Electromagnetics in Advanced Applications (ICEAA) tenutosi a Granada, Spain, Spain nel 9-13 Sept. 2019) [10.1109/ICEAA.2019.8879415]. 1-gen-2019 Trinchero, R.Canavero, F. G. -