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RANDAZZO, VINCENZO
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Risultati 1 - 16 di 16 (tempo di esecuzione: 0.036 secondi).
Comparison of Genetic and Reinforcement Learning Algorithms for Energy Cogeneration Optimization
2023 Ghione, Giorgia; Randazzo, Vincenzo; Recchia, Alessandra; Pasero, Eros; Badami, Marco
Tracking Evolution of Stator-based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network
2022 Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrinicone, M.
Topological Gradient-based Competitive Learning
2021 Barbiero, Pietro; Ciravegna, Gabriele; Randazzo, Vincenzo; Pasero, Eros; Cirrincione, Giansalvo
Double Channel Neural Non Invasive Blood Pressure Prediction
2020 Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Neural Recurrent Approches to Noninvasive Blood Pressure Estimation
2020 Paviglianiti, Annunziata; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO
Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG
2020 Paviglianiti, A.; Randazzo, V.; Pasero, E.; Vallan, A.
Shallow Neural Network for Biometrics from the ECG-WATCH
2020 Randazzo, V.; Cirrincione, G.; Pasero, E.
Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study
2020 Ferretti, J.; Barbiero, P.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network
2020 Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo
ECG WATCH: A real time wireless wearable ECG
2019 Randazzo, V.; Ferretti, Jacopo; Pasero, E.
Ubiquitous fridge with natural language interaction
2019 Ferrero, Renato; GHAZI VAKILI, Mohammad; Giusto, Edoardo; Guerrera, Mauro; Randazzo, Vincenzo
Nonstationary topological learning with bridges and convex polytopes: The G-EXIN neural network
2018 Randazzo, Vincenzo; Cirrincione, Giansalvo; Ciravegna, Gabriele; Pasero, Eros
Power Switch Open-Circuit Fault Detection in an Interleaved DC/DC Buck Converter for Electrolyzer Applications by Using Curvilinear Component Analysis
2018 Cirrincione, G.; Cirrincione, M.; Guilbert, D.; Mohammadi, A.; Randazzo, V.
VITAL-ECG: A portable wearable hospital
2018 Randazzo, Vincenzo; Pasero, Eros; Navaretti, Silvio
Analysis of stator faults in induction machines using growing curvilinear component analysis
2017 Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.
The on-line curvilinear component analysis (onCCA) for real-time data reduction
2015 Cirrincione, G.; Hérault, J.; Randazzo, V.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Comparison of Genetic and Reinforcement Learning Algorithms for Energy Cogeneration Optimization / Ghione, Giorgia; Randazzo, Vincenzo; Recchia, Alessandra; Pasero, Eros; Badami, Marco. - ELETTRONICO. - (2023), pp. 1-7. (Intervento presentato al convegno 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech) tenutosi a Split/Bol (Croatia) nel 20-23 June 2023) [10.23919/SpliTech58164.2023.10193518]. | 1-gen-2023 | Ghione, GiorgiaRandazzo, VincenzoRecchia, AlessandraPasero, ErosBadami, Marco | COMPAR~1.PDF; 1570894786 final.pdf |
| Tracking Evolution of Stator-based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network / Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrinicone, M.. - ELETTRONICO. - (2022), pp. 1-5. (Intervento presentato al convegno 2022 25th International Conference on Electrical Machines and Systems (ICEMS) tenutosi a Chiang Mai, Thailand nel 29 November 2022 - 02 December 2022) [10.1109/ICEMS56177.2022.9983026]. | 1-gen-2022 | Randazzo V.Cirrincione G. + | Tracking_Evolution_of_Stator-based_Fault_in_Induction_Machines_using_the_GCCA.pdf; Paper ID - 1570816545_postPrint.pdf |
| Topological Gradient-based Competitive Learning / Barbiero, Pietro; Ciravegna, Gabriele; Randazzo, Vincenzo; Pasero, Eros; Cirrincione, Giansalvo. - ELETTRONICO. - (2021), pp. 1-8. (Intervento presentato al convegno 2021 International Joint Conference on Neural Networks, IJCNN 2021 tenutosi a Shenzhen, China nel 18-22 July 2021) [10.1109/IJCNN52387.2021.9533411]. | 1-gen-2021 | Ciravegna GabrieleRandazzo VincenzoPasero ErosCirrincione Giansalvo + | Topological_Gradient-based_Competitive_Learning.pdf; N-0454.pdf |
| Double Channel Neural Non Invasive Blood Pressure Prediction / Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E.. - ELETTRONICO. - 12463:(2020), pp. 160-171. (Intervento presentato al convegno 16th International Conference on Intelligent Computing, ICIC 2020 tenutosi a ita nel 2020) [10.1007/978-3-030-60799-9_14]. | 1-gen-2020 | Paviglianiti A.Randazzo V.Cirrincione G.Pasero E. | bookExtracted_DoubleChannelNeuralNonInvasiveBloodPressurePrediction.pdf; v5_revisedAndsubmitted.pdf |
| Neural Recurrent Approches to Noninvasive Blood Pressure Estimation / Paviglianiti, Annunziata; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO. - ELETTRONICO. - (2020), pp. 1-7. (Intervento presentato al convegno 2020 International Joint Conference on Neural Networks, IJCNN 2020 tenutosi a Glasgow, United Kingdom, United Kingdom nel 19-24 July 2020) [10.1109/IJCNN48605.2020.9207317]. | 1-gen-2020 | Annunziata PaviglianitiVincenzo RandazzoGiansalvo CirrincioneEros Pasero | PID6437761.pdf; Paviglianiti-Neural.pdf |
| Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG / Paviglianiti, A.; Randazzo, V.; Pasero, E.; Vallan, A.. - ELETTRONICO. - (2020), pp. 1-5. (Intervento presentato al convegno 2020 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2020 tenutosi a hrv nel 2020) [10.1109/I2MTC43012.2020.9129361]. | 1-gen-2020 | Paviglianiti A.Randazzo V.Pasero E.Vallan A. | 1570614204.pdf; 09129361.pdf |
| Shallow Neural Network for Biometrics from the ECG-WATCH / Randazzo, V.; Cirrincione, G.; Pasero, E.. - ELETTRONICO. - 12463:(2020), pp. 259-269. (Intervento presentato al convegno 16th International Conference on Intelligent Computing, ICIC 2020 tenutosi a ita nel 2020) [10.1007/978-3-030-60799-9_22]. | 1-gen-2020 | Randazzo V.Cirrincione G.Pasero E. | NeuralBiometricECGWatch.pdf; Shallow neural network for biometrics from the ECG-WATCH_cameraReady.pdf; bookExtracted_Shallow neural network for biometrics from the ECG-WATCH.pdf |
| Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study / Ferretti, J.; Barbiero, P.; Randazzo, V.; Cirrincione, G.; Pasero, E.. - ELETTRONICO. - (2020), pp. 1-7. (Intervento presentato al convegno 2020 International Joint Conference on Neural Networks, IJCNN 2020 tenutosi a gbr nel 2020) [10.1109/IJCNN48605.2020.9207360]. | 1-gen-2020 | Ferretti J.Randazzo V.Cirrincione G.Pasero E. + | Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN_the ECG Case Study.pdf; 1D_CNN_Feature_Correlation_v4_submitted.pdf |
| Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network / Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo. - ELETTRONICO. - 12463:(2020), pp. 172-182. (Intervento presentato al convegno 16th International Conference on Intelligent Computing, ICIC 2020 tenutosi a Bari (ita) nel Ottobre 2020) [10.1007/978-3-030-60799-9_15]. | 1-gen-2020 | Marta LovinoGabriele CiravegnaVincenzo RandazzoElisa FicarraGiansalvo Cirrincione + | ICIC_2020_barbiero_Lovino.pdf; bookExtracted_Unsupervised Multi-omic Data Fusion.pdf; Neural Graph Learning for Multi-Omic Data Fusion_4_cameraReady.pdf |
| ECG WATCH: A real time wireless wearable ECG / Randazzo, V.; Ferretti, Jacopo; Pasero, E.. - ELETTRONICO. - (2019), pp. 1-6. (Intervento presentato al convegno 2019 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2019 tenutosi a Kadir Has University (KHU), tur nel 2019) [10.1109/MeMeA.2019.8802210]. | 1-gen-2019 | Randazzo V.FERRETTI, JACOPOPasero E. | - |
| Ubiquitous fridge with natural language interaction / Ferrero, Renato; GHAZI VAKILI, Mohammad; Giusto, Edoardo; Guerrera, Mauro; Randazzo, Vincenzo. - ELETTRONICO. - (2019), pp. 404-409. (Intervento presentato al convegno 2019 IEEE International Conference on RFID Technology and Applications (RFID-TA) tenutosi a Pisa (Italia) nel 25-27 Settembre 2019) [10.1109/RFID-TA.2019.8892025]. | 1-gen-2019 | Renato FerreroMohammad Ghazi VakiliEdoardo GiustoGUERRERA, MAUROVincenzo Randazzo | - |
| Nonstationary topological learning with bridges and convex polytopes: The G-EXIN neural network / Randazzo, Vincenzo; Cirrincione, Giansalvo; Ciravegna, Gabriele; Pasero, Eros. - ELETTRONICO. - 2018-:(2018), pp. 1-6. (Intervento presentato al convegno 2018 International Joint Conference on Neural Networks, IJCNN 2018 tenutosi a Rio de Janeiro(Bra) nel 8-13 July 2018) [10.1109/IJCNN.2018.8489186]. | 1-gen-2018 | Randazzo, VincenzoCirrincione, GiansalvoCiravegna, GabrielePasero, Eros | - |
| Power Switch Open-Circuit Fault Detection in an Interleaved DC/DC Buck Converter for Electrolyzer Applications by Using Curvilinear Component Analysis / Cirrincione, G.; Cirrincione, M.; Guilbert, D.; Mohammadi, A.; Randazzo, V.. - ELETTRONICO. - (2018), pp. 2221-2225. (Intervento presentato al convegno 2018 21st International Conference on Electrical Machines and Systems (ICEMS) tenutosi a Jeju (South Korea) nel 7-10 Oct. 2018) [10.23919/ICEMS.2018.8549112]. | 1-gen-2018 | Cirrincione, G.Randazzo, V. + | - |
| VITAL-ECG: A portable wearable hospital / Randazzo, Vincenzo; Pasero, Eros; Navaretti, Silvio. - ELETTRONICO. - Volume 2018-January:(2018), pp. 1-6. (Intervento presentato al convegno Sensors Applications Symposium (SAS), 2018 IEEE tenutosi a Seoul, Korea (South), Korea (South) nel 12-14 March 2018) [10.1109/SAS.2018.8336776]. | 1-gen-2018 | Randazzo, VincenzoPasero, Eros + | - |
| Analysis of stator faults in induction machines using growing curvilinear component analysis / Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.. - (2017), pp. 1-6. (Intervento presentato al convegno 20th International Conference on Electrical Machines and Systems, ICEMS 2017 tenutosi a aus nel 2017) [10.1109/ICEMS.2017.8056240]. | 1-gen-2017 | Randazzo, V.Cirrincione, G.Pasero, E. + | - |
| The on-line curvilinear component analysis (onCCA) for real-time data reduction / Cirrincione, G.; Hérault, J.; Randazzo, V.. - 2015-:(2015), pp. 1-8. (Intervento presentato al convegno International Joint Conference on Neural Networks, IJCNN 2015 tenutosi a irl nel 2015) [10.1109/IJCNN.2015.7280318]. | 1-gen-2015 | Cirrincione, G.Randazzo, V. + | - |