Archivio Istituzionale della RicercaRANDAZZO, VINCENZO
RANDAZZO, VINCENZO
Dipartimento di Elettronica e Telecomunicazioni
041562
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
Gradient-Based Competitive Learning: Theory
2024 Cirrincione, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; 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
A survey on data integration for multi-omics sample clustering
2022 Lovino, M.; Randazzo, V.; Ciravegna, G.; Barbiero, P.; Ficarra, E.; Cirrincione, G.
Development and Validation of an Algorithm for the Digitization of ECG Paper Images
2022 Randazzo, V.; Puleo, E.; Paviglianiti, A.; Vallan, A.; Pasero, E.
External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients
2022 Alfieri, F.; Ancona, A.; Tripepi, G.; Randazzo, V.; Paviglianiti, A.; Pasero, E.; Vecchi, L.; Politi, C.; Cauda, V.; Fagugli, R. M.
Lagrangian swarm of mini radio probes for atmospheric and environmental monitoring, and method of operation thereof
2022 Tordella, Daniela; Pasero, Eros; Paredes, Miryam; Abdunabiev, Shahbozbek; Allegretti, Marco; Randazzo, Vincenzo
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.
A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction
2021 Paviglianiti, A.; Randazzo, V.; Villata, S.; Cirrincione, G.; Pasero, E.
A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients
2021 Alfieri, Francesca; Ancona, Andrea; Tripepi, Giovanni; Crosetto, Dario; Randazzo, Vincenzo; Paviglianiti, Annunziata; Pasero, Eros; Vecchi, Luigi; Cauda, Valentina; Fagugli, Riccardo Maria
A new unsupervised neural approach to stationary and non-stationary data
2021 Randazzo, V.; Cirrincione, G.; Pasero, E.
Anytime ecg monitoring through the use of a low-cost, user-friendly, wearable device
2021 Randazzo, V.; Ferretti, J.; Pasero, E.
Induction Machine Stator Fault Tracking using the Growing Curvilinear Component Analysis
2021 Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.; Tortella, A.; Andriollo, M.
Topological Gradient-based Competitive Learning
2021 Barbiero, Pietro; Ciravegna, Gabriele; Randazzo, Vincenzo; Pasero, Eros; Cirrincione, Giansalvo
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| 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 |
| A survey on data integration for multi-omics sample clustering / Lovino, M.; Randazzo, V.; Ciravegna, G.; Barbiero, P.; Ficarra, E.; Cirrincione, G.. - In: NEUROCOMPUTING. - ISSN 0925-2312. - ELETTRONICO. - 488:(2022), pp. 494-508. [10.1016/j.neucom.2021.11.094] | 1-gen-2022 | Lovino M.Randazzo V.Ciravegna G.Ficarra E.Cirrincione G. + | Randazzo-ASurvey.pdf |
| Development and Validation of an Algorithm for the Digitization of ECG Paper Images / Randazzo, V.; Puleo, E.; Paviglianiti, A.; Vallan, A.; Pasero, E.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 22:19(2022), pp. 1-15. [10.3390/s22197138] | 1-gen-2022 | Randazzo V.Puleo E.Paviglianiti A.Vallan A.Pasero E. | sensors-22-07138-2 - Development and Validation of an Algorithm for the.pdf |
| External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients / Alfieri, F.; Ancona, A.; Tripepi, G.; Randazzo, V.; Paviglianiti, A.; Pasero, E.; Vecchi, L.; Politi, C.; Cauda, V.; Fagugli, R. M.. - In: JN. JOURNAL OF NEPHROLOGY. - ISSN 1121-8428. - ELETTRONICO. - (2022). [10.1007/s40620-022-01335-8] | 1-gen-2022 | Alfieri F.Ancona A.Randazzo V.Paviglianiti A.Pasero E.Cauda V. + | Alfieri2022_Article_ExternalValidationOfADeep-lear.pdf |
| Lagrangian swarm of mini radio probes for atmospheric and environmental monitoring, and method of operation thereof / Tordella, Daniela; Pasero, Eros; Paredes, Miryam; Abdunabiev, Shahbozbek; Allegretti, Marco; Randazzo, Vincenzo. - (2022). | 1-gen-2022 | Tordella, DanielaPasero, ErosParedes, MiryamAbdunabiev, ShahbozbekAllegretti, MarcoRandazzo, Vincenzo | WO2023223256A1.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 |
| A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction / Paviglianiti, A.; Randazzo, V.; Villata, S.; Cirrincione, G.; Pasero, E.. - In: COGNITIVE COMPUTATION. - ISSN 1866-9956. - ELETTRONICO. - (2021). [10.1007/s12559-021-09910-0] | 1-gen-2021 | Paviglianiti A.Randazzo V.Cirrincione G.Pasero E. + | Paviglianiti2021_Article_AComparisonOfDeepLearningTechn.pdf |
| A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients / Alfieri, Francesca; Ancona, Andrea; Tripepi, Giovanni; Crosetto, Dario; Randazzo, Vincenzo; Paviglianiti, Annunziata; Pasero, Eros; Vecchi, Luigi; Cauda, Valentina; Fagugli, Riccardo Maria. - In: JN. JOURNAL OF NEPHROLOGY. - ISSN 1121-8428. - ELETTRONICO. - (2021). [10.1007/s40620-021-01046-6] | 1-gen-2021 | Alfieri, FrancescaAncona, AndreaRandazzo, VincenzoPaviglianiti, AnnunziataPasero, ErosCauda, Valentina + | Alfieri2021_Article_ADeep-learningModelToContinuou.pdf |
| A new unsupervised neural approach to stationary and non-stationary data / Randazzo, V.; Cirrincione, G.; Pasero, E. (INTELLIGENT SYSTEMS REFERENCE LIBRARY). - In: Advances in Data Science: Methodologies and Applications / Phillips-Wren G., Esposito A., Jain L.C.. - STAMPA. - [s.l] : Springer, 2021. - ISBN 978-3-030-51869-1. - pp. 125-145 [10.1007/978-3-030-51870-7_7] | 1-gen-2021 | Randazzo V.Cirrincione G.Pasero E. | A new unsupervised neural approach to stationary and non-stationary data_v7.pdf; BookExctracted_A new unsupervised neural approach to stationary and non-stationary data.pdf |
| Anytime ecg monitoring through the use of a low-cost, user-friendly, wearable device / Randazzo, V.; Ferretti, J.; Pasero, E.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 21:18(2021). [10.3390/s21186036] | 1-gen-2021 | Randazzo V.Ferretti J.Pasero E. | sensors-21-06036.pdf |
| Induction Machine Stator Fault Tracking using the Growing Curvilinear Component Analysis / Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.; Tortella, A.; Andriollo, M.. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 9:(2021), pp. 2201-2212. [10.1109/ACCESS.2020.3047202] | 1-gen-2021 | Randazzo V.Cirrincione G.Pasero E. + | 09306809.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 |