Archivio Istituzionale della RicercaRANDAZZO, VINCENZO
RANDAZZO, VINCENZO
Dipartimento di Elettronica e Telecomunicazioni
041562
A Machine Learning-Based Approach for Evaluating Concrete Mix Design Properties
2025 Anerdi, Costanza; Melchiorre, Jonathan; Randazzo, Vincenzo; Marano, Giuseppe C.
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
A Vision Transformer Model for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome
2025 Randazzo, V.; Caligari, S.; Pasero, E.; Giustetto, C.; Saglietto, A.; Bertarello, W.; Averbuch, A.; Marcus-Kalish, M.; Zheludev, V.; Gaita, F.
Comparison of LSTM-Based Models for the 6-Hour-Ahead and Day-Ahead Forecasting of Photovoltaic Power Generation
2025 Ghione, G.; Randazzo, V.; Pasero, E.; Badami, M.
Design and development of a wearable device for real-time health monitoring and telemedicine
2025 Randazzo, Vincenzo; Reineri, Matteo; Pasero, Eros
ECG Images Analysis for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome Based on a Vision Transformer Model
2025 Caligari, S.; Randazzo, V.; Giustetto, C.; Gaita, F.; Pasero, E.
ECG6L: A Real Time Wireless Portable Six-Lead ECG
2025 Randazzo, Vincenzo; Sento, Marco; Pasero, Eros
Enhancing ECG Analysis with a Hybrid Deep Learning Approach: Automatic Detection of Significant Features
2025 Delrio, F.; De Vitis, V.; Caligari, S.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Optimal Cogeneration Scheduling: A Comparison of Genetic and POMDP-Based Deep Reinforcement Learning Approaches
2025 Ghione, Giorgia; Randazzo, Vincenzo; Pasero, Eros; Badami, Marco
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
Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing
2024 Rosso, Marco Martino; Aloisio, Angelo; Randazzo, Vincenzo; Tanzi, Leonardo; Cirrincione, Giansalvo; Marano, Giuseppe Carlo
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.
Gradient-Based Competitive Learning: Theory
2024 Cirrincione, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; Pasero, Eros
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
Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events
2023 Pasero, Eros; Gaita, Fiorenzo; Randazzo, Vincenzo; Meynet, Pierre; Cannata, Sergio; Maury, Philippe; Giustetto, Carla
Comparison of Genetic and Reinforcement Learning Algorithms for Energy Cogeneration Optimization
2023 Ghione, Giorgia; Randazzo, Vincenzo; Recchia, Alessandra; Pasero, Eros; Badami, Marco
Dual Deep Clustering
2023 Cirrincione, G.; Randazzo, V.; Barbiero, P.; Ciravegna, G.; Pasero, E.
Learning-Based Approach to Predict Fatal Events in Brugada Syndrome
2023 Randazzo, V.; Marchetti, G.; Giustetto, C.; Gugliermina, E.; Kumar, R.; Cirrincione, G.; Gaita, F.; Pasero, E.
Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network
2023 Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Machine Learning-Based Approach for Evaluating Concrete Mix Design Properties / Anerdi, Costanza; Melchiorre, Jonathan; Randazzo, Vincenzo; Marano, Giuseppe C. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Advanced Neural Artificial Intelligence: Theories and Applications[s.l] : Springer, 2025. - ISBN 9789819609932. - pp. 235-244 [10.1007/978-981-96-0994-9_22] | 1-gen-2025 | Costanza AnerdiJonathan MelchiorreVincenzo RandazzoGiuseppe C. Marano | WIRN2023___A_Machine_Learning_Based_Approach_for_Evaluating_Concrete_Mix_Design_Properties__FULL_PAPER_.pdf |
| 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 |
| A Vision Transformer Model for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome / Randazzo, V.; Caligari, S.; Pasero, E.; Giustetto, C.; Saglietto, A.; Bertarello, W.; Averbuch, A.; Marcus-Kalish, M.; Zheludev, V.; Gaita, F.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 25:3(2025). [10.3390/s25030824] | 1-gen-2025 | Randazzo V.Caligari S.Pasero E. + | 2025_Journal_sensors_Brugada_ViT.pdf |
| Comparison of LSTM-Based Models for the 6-Hour-Ahead and Day-Ahead Forecasting of Photovoltaic Power Generation / Ghione, G.; Randazzo, V.; Pasero, E.; Badami, M. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Smart Innovation, Systems and Technologies / Esposito A., Faundez-Zanuy M., Morabito F. C., Pasero E., Cordasco G.. - STAMPA. - Singapore : Springer Nature, 2025. - ISBN 9789819609932. - pp. 45-54 [10.1007/978-981-96-0994-9_5] | 1-gen-2025 | Ghione G.Randazzo V.Pasero E.Badami M. | 2025_bookExtracted_WIRN2023_Comparison of LSTM-Based Models_Ghione.pdf; 2023_WIRN_PVPF_CameraReady_ReviewCorrections.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 |
| ECG Images Analysis for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome Based on a Vision Transformer Model / Caligari, S.; Randazzo, V.; Giustetto, C.; Gaita, F.; Pasero, E. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Advanced Neural Artificial Intelligence: Theories and Applications / Esposito A., Faundez-Zanuy M., Morabito F. C., Pasero E., Cordasco G.. - STAMPA. - Singapore : Springer, 2025. - ISBN 9789819609932. - pp. 13-22 [10.1007/978-981-96-0994-9_2] | 1-gen-2025 | Caligari S.Randazzo V.Pasero E. + | 2025_bookExtracted_WIRN2023_Brugada_Caligari.pdf; WIRN2023_paper_16_postPrint_v2.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 |
| Enhancing ECG Analysis with a Hybrid Deep Learning Approach: Automatic Detection of Significant Features / Delrio, F.; De Vitis, V.; Caligari, S.; Randazzo, V.; Cirrincione, G.; Pasero, E. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Smart Innovation, Systems and Technologies / Esposito A., Faundez-Zanuy M., Morabito F. C., Pasero E., Cordasco G.. - STAMPA. - Singapore : Springer Nature, 2025. - ISBN 9789819609932. - pp. 23-33 [10.1007/978-981-96-0994-9_3] | 1-gen-2025 | Delrio F.De Vitis V.Caligari S.Randazzo V.Pasero E. + | 2025_bookExtracted_WIRN2023_ECG features extraction_Tesi_DeVitis.pdf; WIRN2023_paper_20_postPrint.pdf |
| Optimal Cogeneration Scheduling: A Comparison of Genetic and POMDP-Based Deep Reinforcement Learning Approaches / Ghione, Giorgia; Randazzo, Vincenzo; Pasero, Eros; Badami, Marco. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 13:(2025), pp. 128562-128581. [10.1109/access.2025.3590255] | 1-gen-2025 | Ghione, GiorgiaRandazzo, VincenzoPasero, ErosBadami, Marco | Optimal_Cogeneration_Scheduling_A_Comparison_of_Genetic_and_POMDP-Based_Deep_Reinforcement_Learning_Approaches.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 |
| Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing / Rosso, Marco Martino; Aloisio, Angelo; Randazzo, Vincenzo; Tanzi, Leonardo; Cirrincione, Giansalvo; Marano, Giuseppe Carlo. - In: INTEGRATED COMPUTER-AIDED ENGINEERING. - ISSN 1069-2509. - ELETTRONICO. - 31:2(2024), pp. 213-232. [10.3233/ICA-230709] | 1-gen-2024 | Rosso, Marco MartinoRandazzo, VincenzoTanzi, LeonardoMarano, Giuseppe Carlo + | Comparative_DL_tunnel_monitoring_with_without_Fourier_rev2.pdf; ica-31-ica230709.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 |
| Gradient-Based Competitive Learning: Theory / Cirrincione, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; Pasero, Eros. - In: COGNITIVE COMPUTATION. - ISSN 1866-9956. - ELETTRONICO. - 16:(2024), pp. 608-623. [10.1007/s12559-023-10225-5] | 1-gen-2024 | Randazzo, VincenzoCiravegna, GabrielePasero, Eros + | Randazzo-Gradient.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 |
| Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events / Pasero, Eros; Gaita, Fiorenzo; Randazzo, Vincenzo; Meynet, Pierre; Cannata, Sergio; Maury, Philippe; Giustetto, Carla. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 23:21(2023). [10.3390/s23218900] | 1-gen-2023 | Pasero, ErosRandazzo, VincenzoCannata, Sergio + | sensors-23-08900-v2.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 |
| Dual Deep Clustering / Cirrincione, G.; Randazzo, V.; Barbiero, P.; Ciravegna, G.; Pasero, E. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Applications of Artificial Intelligence and Neural Systems to Data Science / Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero. - STAMPA. - [s.l] : Springer, 2023. - ISBN 978-981-99-3591-8. - pp. 51-62 [10.1007/978-981-99-3592-5_5] | 1-gen-2023 | Randazzo V.Ciravegna G.Pasero E. + | bookExtracted_Dual Deep Clustering.pdf; WIRN_2022___Dual_deep_clustering_v4_authorPostPrint.pdf |
| Learning-Based Approach to Predict Fatal Events in Brugada Syndrome / Randazzo, V.; Marchetti, G.; Giustetto, C.; Gugliermina, E.; Kumar, R.; Cirrincione, G.; Gaita, F.; Pasero, E. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Applications of Artificial Intelligence and Neural Systems to Data Science / Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero. - STAMPA. - [s.l] : Springer, 2023. - ISBN 978-981-99-3591-8. - pp. 63-72 [10.1007/978-981-99-3592-5_6] | 1-gen-2023 | Randazzo V.Marchetti G.Pasero E. + | bookExtracted_Learning-Based Approach to Predict Fatal Events in Brugada Syndrome.pdf; Learning-based approach to predict fatal events in Brugada Syndrome_turnitin.pdf |
| Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network / Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 39:(2023). [10.3390/engproc2023039078] | 1-gen-2023 | Federico DelrioVincenzo RandazzoEros Pasero + | engproc-39-00078.pdf |