RANDAZZO, VINCENZO

RANDAZZO, VINCENZO  

Dipartimento di Elettronica e Telecomunicazioni  

041562  

Mostra records
Risultati 1 - 14 di 14 (tempo di esecuzione: 0.023 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.pdfica-31-ica230709.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
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
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
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
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
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
The GH-EXIN neural network for hierarchical clustering / Cirrincione, G.; Ciravegna, G.; Barbiero, P.; Randazzo, V.; Pasero, E.. - In: NEURAL NETWORKS. - ISSN 0893-6080. - ELETTRONICO. - 121:(2020), pp. 57-73. [10.1016/j.neunet.2019.07.018] 1-gen-2020 Cirrincione G.Ciravegna G.Randazzo V.Pasero E. + 1-s2.0-S0893608019302060-main.pdfGH_EXIN__Growing_Neural_Network_for_Hierarchical_Clustering_revisionSubmitted.pdf
The Growing Curvilinear Component Analysis (GCCA) neural network / Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, Eros. - In: NEURAL NETWORKS. - ISSN 0893-6080. - ELETTRONICO. - 103:(2018), pp. 108-117. [10.1016/j.neunet.2018.03.017] 1-gen-2018 Randazzo, VincenzoPasero, Eros + NEUNET-S-17-00989_prePrint.pdfGCCA_journal_v23_postPrint_Author.pdfNeuralNetworks_GCCA_1-s2.0-S0893608018301102-main.pdf