RANDAZZO, VINCENZO

RANDAZZO, VINCENZO  

Dipartimento di Elettronica e Telecomunicazioni  

041562  

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Risultati 1 - 20 di 41 (tempo di esecuzione: 0.028 secondi).
Citazione Data di pubblicazione Autori File
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
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.PDF1570894786 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.pdfWIRN_2022___Dual_deep_clustering_v4_authorPostPrint.pdf
Gradient-Based Competitive Learning: Theory / Cirrincione, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; Pasero, Eros. - In: COGNITIVE COMPUTATION. - ISSN 1866-9956. - ELETTRONICO. - (2023). [10.1007/s12559-023-10225-5] 1-gen-2023 Randazzo, VincenzoCiravegna, GabrielePasero, Eros + s12559-023-10225-5.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.pdfLearning-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
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.pdfPaper 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.pdfBookExctracted_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.pdfN-0454.pdf
1-D Convolutional Neural Network for ECG Arrhythmia Classification / Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Progresses in Artificial Intelligence and Neural Systems / Esposito A., Faundez-Zanuy M., Morabito F., Pasero E.. - ELETTRONICO. - [s.l] : Springer Singapore, 2020. - ISBN 978-981-15-5093-5. - pp. 269-279 [10.1007/978-981-15-5093-5_25] 1-gen-2020 Jacopo FerrettiVincenzo RandazzoGiansalvo CirrincioneEros Pasero Wirn2019_ECG_DeepLearning_abstract.pdfWirn2019_ECG_DeepLearning_v5_final.pdfbookExtracted_1-D Convolutional Neural Network for ECG Arrhythmia Classification.pdf
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals / Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, Eros (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Neural Approaches to Dynamics of Signal ExchangesELETTRONICO. - [s.l] : Springer Singapore, 2020. - ISBN 978-981-13-8952-8. - pp. 247-256 [10.1007/978-981-13-8950-4_23] 1-gen-2020 Cirrincione, GiansalvoRandazzo, VincenzoPasero, Eros Wirn2018_ECG_v10_reviewed.pdfbookExtracted_A Neural Based Comparative Analysis for Feature Extraction from ECG Signals.pdf
A wearable smart device to monitor multiple vital parameters—VITAL ECG / Randazzo, V.; Ferretti, J.; Pasero, E.. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 9:2(2020), p. 300. [10.3390/electronics9020300] 1-gen-2020 Randazzo V.Ferretti J.Pasero E. electronics-09-00300 (1).pdf