Archivio Istituzionale della RicercaRANDAZZO, VINCENZO
RANDAZZO, VINCENZO
Dipartimento di Elettronica e Telecomunicazioni
041562
Lateral Leads Drive Risk Prediction in Brugada Syndrome: A Deep Learning Study
2026 Randazzo, Vincenzo; Casella, Alessandro; Pasero, Eros; Giustetto, Carla; Casu, Gavino; Berne, Paola; Fancello, Tatiana; Gaita, Fiorenzo
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
Improving Concrete Mix Design Predictions with Machine Learning Algorithms
2025 Melchiorre, Jonathan; Anerdi, Costanza; Randazzo, Vincenzo; Marano, Giuseppe Carlo
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
Unsupervised Defect Detection in Automotive Quality Inspection with Convolutional Autoencoder
2025 Casella, Alessandro; Randazzo, Vincenzo; Pasero, Eros
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.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Lateral Leads Drive Risk Prediction in Brugada Syndrome: A Deep Learning Study / Randazzo, V., Casella, A., Pasero, E., Giustetto, C., Casu, G., Berne, P., Fancello, T., Gaita, F.. - ELETTRONICO. - (2026). (2026 IEEE Medical Measurements & Applications (MeMeA) Montevideo (Ury) 7-10 April 2026) [10.1109/MeMeA69746.2026.11537375]. | 1-gen-2026 | Vincenzo RandazzoAlessandro CasellaEros Pasero + | Lateral_Leads_Drive_Risk_Prediction_in_Brugada_Syndrome_A_Deep_Learning_Study_mini.pdf; MEMEA_2026__CameraReady_mini.pdf |
| A Three-Class AI Model for Brugada Syndrome Detection to Improve Diagnostic Accuracy in ECG Analysis / Randazzo, V., Casella, A., Caligari, S., Gaita, F., Giustetto, C., Pasero, E.. - ELETTRONICO. - (2025). (2025 IEEE Medical Measurements & Applications (MeMeA) Chania (Gre) 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, V., Reineri, M., Pasero, E.. - ELETTRONICO. - (2025), pp. 1-6. (2025 10th International Conference on Smart and Sustainable Technologies (SpliTech) Bol and Split (Cro) 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, V., Sento, M., Pasero, E.. - ELETTRONICO. - (2025), pp. 1-6. (2025 IEEE Medical Measurements & Applications (MeMeA) Chania (Gre) 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 |
| Improving Concrete Mix Design Predictions with Machine Learning Algorithms / Melchiorre, J., Anerdi, C., Randazzo, V., Marano, G.C.. - ELETTRONICO. - (2025), pp. 1-7. (International Joint Conference on Neural Networks (IJCNN) Roma (Italy) 30 June - 5 July 2025) [10.1109/ijcnn64981.2025.11228960]. | 1-gen-2025 | Melchiorre, JonathanAnerdi, CostanzaRandazzo, VincenzoMarano, Giuseppe Carlo | Improving_Concrete_Mix_Design_Predictions_with_Machine_Learning_Algorithms.pdf; IJCNN_2024.pdf |
| Physics Informed Neural Network for Continuous and Cuffless Arterial Blood Pressure / Delrio, F., Randazzo, V., Cirrincione, G., Pasero, E.. - ELETTRONICO. - (2025), pp. 143-148. (2025 IEEE International Conference on Artificial Intelligence for Learning and Optimization (ICoAILO) Bali (Idn) 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, E., Casella, A., Randazzo, V.. - ELETTRONICO. - (2025), pp. 1-6. (ICoAILO 2025 International Conference on Artificial Intelligence For Learning and Optimization Bali (Idn) 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 |
| Unsupervised Defect Detection in Automotive Quality Inspection with Convolutional Autoencoder / Casella, A., Randazzo, V., Pasero, E.. - ELETTRONICO. - (2025), pp. 1-8. (International Joint Conference on Neural Networks (IJCNN) Roma (Ita) 30 June - 5 July 2025) [10.1109/ijcnn64981.2025.11228358]. | 1-gen-2025 | Alessandro CasellaVincenzo RandazzoEros Pasero | Unsupervised_Defect_Detection_in_Automotive_Quality_Inspection_with_Convolutional_Autoencoder.pdf; Paper_IJCNN_2025.pdf |
| A neural network approach for the prediction of arrhythmic events in patients with Brugada syndrome via ECG features analysis / Caligari, S., Randazzo, V., Gaita, F., Giustetto, C., Millesimo, M., Pasero, E.. - ELETTRONICO. - (2024), pp. 329-333. (IEEE 22nd Mediterranean Electrotechnical Conference (MELECON) Porto (Portugal) 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. (2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 Phoenix (USA) 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, G., Randazzo, V., Badami, M., Pasero, E.. - ELETTRONICO. - (2024), pp. 642-646. (8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 Politecnico di Milano - Polo Territoriale di Lecco, ita 2024) [10.1109/rtsi61910.2024.10761708]. | 1-gen-2024 | Ghione, GiorgiaRandazzo, VincenzoBadami, MarcoPasero, Eros | 2024202473.pdf; 2024_Conf_RTSI2024_Optimizing_Battery_Storage_Systems_in_Energy_Microgrids.pdf |
| PulsECG - A Cuffless Non-Invasive Blood Pressure Monitoring Device through Neural Network Analysis of ECG and PPG signals / Randazzo, V., Buccellato, P., Ferretti, J., Delrio, F., Pasero, E.. - ELETTRONICO. - (2024), pp. 1030-1035. (2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON) Oporto (Portogallo) 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, G., Randazzo, V., Recchia, A., Pasero, E., Badami, M.. - ELETTRONICO. - (2023), pp. 1-7. (2023 8th International Conference on Smart and Sustainable Technologies (SpliTech) Split/Bol (Croatia) 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. (2022 25th International Conference on Electrical Machines and Systems (ICEMS) Chiang Mai, Thailand 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, P., Ciravegna, G., Randazzo, V., Pasero, E., Cirrincione, G.. - ELETTRONICO. - (2021), pp. 1-8. (2021 International Joint Conference on Neural Networks, IJCNN 2021 Shenzhen, China 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. (16th International Conference on Intelligent Computing, ICIC 2020 ita 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, A., Randazzo, V., Cirrincione, G., Pasero, E.G.A.. - ELETTRONICO. - (2020), pp. 1-7. (2020 International Joint Conference on Neural Networks, IJCNN 2020 Glasgow, United Kingdom, United Kingdom 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. (2020 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2020 Dubrovnik (Cro) 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. (16th International Conference on Intelligent Computing, ICIC 2020 ita 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. (2020 International Joint Conference on Neural Networks, IJCNN 2020 gbr 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 |