Archivio Istituzionale della RicercaRANDAZZO, VINCENZO
RANDAZZO, VINCENZO
Dipartimento di Elettronica e Telecomunicazioni
041562
A Three-Class AI Model for Brugada Syndrome Detection to Improve Diagnostic Accuracy in ECG Analysis
2025 Randazzo, Vincenzo; Casella, Alessandro; Caligari, Silvia; Gaita, Fiorenzo; Giustetto, Carla; Pasero, Eros
Design and development of a wearable device for real-time health monitoring and telemedicine
2025 Randazzo, Vincenzo; Reineri, Matteo; Pasero, Eros
ECG6L: A Real Time Wireless Portable Six-Lead ECG
2025 Randazzo, Vincenzo; Sento, Marco; Pasero, Eros
Physics Informed Neural Network for Continuous and Cuffless Arterial Blood Pressure
2025 Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros
Towards Explainable AI in Cardiac Diagnostic: Attention-Based Interpretation of Brugada Syndrome
2025 Pasero, Eros; Casella, Alessandro; Randazzo, Vincenzo
A neural network approach for the prediction of arrhythmic events in patients with Brugada syndrome via ECG features analysis
2024 Caligari, Silvia; Randazzo, Vincenzo; Gaita, Fiorenzo; Giustetto, Carla; Millesimo, Michele; Pasero, Eros
Digital Twin Based Identification of Passive Parameters of Three-phase Boost Rectifier using a GRU Neural Network
2024 Di Nezio, G.; Di Benedetto, M.; Ghione, G.; Randazzo, V.; Solero, L.
Optimizing Battery Storage Systems in Energy Microgrids: A Reinforcement Learning Approach Comparing Multiple Reward Functions
2024 Ghione, Giorgia; Randazzo, Vincenzo; Badami, Marco; Pasero, Eros
PulsECG - A Cuffless Non-Invasive Blood Pressure Monitoring Device through Neural Network Analysis of ECG and PPG signals
2024 Randazzo, Vincenzo; Buccellato, Pietro; Ferretti, Jacopo; Delrio, Federico; Pasero, Eros
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
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Three-Class AI Model for Brugada Syndrome Detection to Improve Diagnostic Accuracy in ECG Analysis / Randazzo, Vincenzo; Casella, Alessandro; Caligari, Silvia; Gaita, Fiorenzo; Giustetto, Carla; Pasero, Eros. - ELETTRONICO. - (2025). (Intervento presentato al convegno 2025 IEEE Medical Measurements & Applications (MeMeA) tenutosi a Chania (Gre) nel 28-30 May 2025) [10.1109/memea65319.2025.11067974]. | 1-gen-2025 | Randazzo, VincenzoCasella, AlessandroCaligari, SilviaPasero, Eros + | A_Three-Class_AI_Model_for_Brugada_Syndrome_Detection_to_Improve_Diagnostic_Accuracy_in_ECG_Analysis.pdf; 1571123860 final.pdf |
| Design and development of a wearable device for real-time health monitoring and telemedicine / Randazzo, Vincenzo; Reineri, Matteo; Pasero, Eros. - ELETTRONICO. - (2025), pp. 1-6. (Intervento presentato al convegno 2025 10th International Conference on Smart and Sustainable Technologies (SpliTech) tenutosi a Bol and Split (Cro) nel 16-20 June 2025) [10.23919/splitech65624.2025.11091665]. | 1-gen-2025 | Randazzo, VincenzoPasero, Eros + | Splitech2025_TesiReineri_postPrint_v2.pdf; Design_and_development_of_a_wearable_device_for_real-time_health_monitoring_and_telemedicine.pdf |
| ECG6L: A Real Time Wireless Portable Six-Lead ECG / Randazzo, Vincenzo; Sento, Marco; Pasero, Eros. - ELETTRONICO. - (2025), pp. 1-6. (Intervento presentato al convegno 2025 IEEE Medical Measurements & Applications (MeMeA) tenutosi a Chania (Gre) nel 28-30 May 2025) [10.1109/memea65319.2025.11067984]. | 1-gen-2025 | Randazzo, VincenzoSento, MarcoPasero, Eros | ECG6L_A_Real_Time_Wireless_Portable_Six-Lead_ECG.pdf; 1571125991 final.pdf |
| Physics Informed Neural Network for Continuous and Cuffless Arterial Blood Pressure / Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros. - ELETTRONICO. - (2025), pp. 143-148. (Intervento presentato al convegno 2025 IEEE International Conference on Artificial Intelligence for Learning and Optimization (ICoAILO) tenutosi a Bali (Idn) nel 07-09 August 2025) [10.1109/icoailo66760.2025.11156047]. | 1-gen-2025 | Delrio, FedericoRandazzo, VincenzoPasero, Eros + | 2025_Conf_ICoAILO2025_Physics_Informed_Neural_Network_for_Arterial_Blood_Pressure.pdf; m50516-delrio paper_postPrint.pdf |
| Towards Explainable AI in Cardiac Diagnostic: Attention-Based Interpretation of Brugada Syndrome / Pasero, Eros; Casella, Alessandro; Randazzo, Vincenzo. - ELETTRONICO. - (2025), pp. 1-6. (Intervento presentato al convegno ICoAILO 2025 International Conference on Artificial Intelligence For Learning and Optimization tenutosi a Bali (Idn) nel 7-9 August 2025) [10.1109/ICoAILO66760.2025.11155988]. | 1-gen-2025 | Eros PaseroAlessandro CasellaVincenzo Randazzo | Towards_Explainable_AI_in_Cardiac_Diagnostic_Attention-Based_Interpretation_of_Brugada_Syndrome.pdf; icoailo_final.pdf |
| A neural network approach for the prediction of arrhythmic events in patients with Brugada syndrome via ECG features analysis / Caligari, Silvia; Randazzo, Vincenzo; Gaita, Fiorenzo; Giustetto, Carla; Millesimo, Michele; Pasero, Eros. - ELETTRONICO. - (2024), pp. 329-333. (Intervento presentato al convegno IEEE 22nd Mediterranean Electrotechnical Conference (MELECON) tenutosi a Porto (Portugal) nel 25-27 June 2024) [10.1109/melecon56669.2024.10608666]. | 1-gen-2024 | Caligari, SilviaRandazzo, VincenzoPasero, Eros + | Melecon_2024.pdf; A_neural_network_approach_for_the_prediction_of_arrhythmic_events_in_patients_with_Brugada_syndrome_via_ECG_features_analysis.pdf |
| Digital Twin Based Identification of Passive Parameters of Three-phase Boost Rectifier using a GRU Neural Network / Di Nezio, G.; Di Benedetto, M.; Ghione, G.; Randazzo, V.; Solero, L.. - ELETTRONICO. - (2024), pp. 4431-4436. (Intervento presentato al convegno 2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 tenutosi a Phoenix (USA) nel 20-24 October 2024) [10.1109/ECCE55643.2024.10860740]. | 1-gen-2024 | Ghione G.Randazzo V. + | Digital_Twin_Based_Identification_of_Passive_Parameters_of_Three-phase_Boost_Rectifier_using_a_GRU_Neural_Network.pdf; ECCE2024_R4.pdf |
| Optimizing Battery Storage Systems in Energy Microgrids: A Reinforcement Learning Approach Comparing Multiple Reward Functions / Ghione, Giorgia; Randazzo, Vincenzo; Badami, Marco; Pasero, Eros. - ELETTRONICO. - (2024), pp. 642-646. (Intervento presentato al convegno 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 tenutosi a Politecnico di Milano - Polo Territoriale di Lecco, ita nel 2024) [10.1109/rtsi61910.2024.10761708]. | 1-gen-2024 | Ghione, GiorgiaRandazzo, VincenzoBadami, MarcoPasero, Eros | - |
| PulsECG - A Cuffless Non-Invasive Blood Pressure Monitoring Device through Neural Network Analysis of ECG and PPG signals / Randazzo, Vincenzo; Buccellato, Pietro; Ferretti, Jacopo; Delrio, Federico; Pasero, Eros. - ELETTRONICO. - (2024), pp. 1030-1035. (Intervento presentato al convegno 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON) tenutosi a Oporto (Portogallo) nel 25-27 June 2024) [10.1109/melecon56669.2024.10608702]. | 1-gen-2024 | Randazzo, VincenzoBuccellato, PietroFerretti, JacopoDelrio, FedericoPasero, Eros | 1570993291.pdf; PulsECG_-_A_Cuffless_Non-Invasive_Blood_Pressure_Monitoring_Device_through_Neural_Network_Analysis_of_ECG_and_PPG_signals.pdf |
| 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 Dubrovnik (Cro) nel 25-28 May 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 | - |