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Risultati 1 - 14 di 14 (tempo di esecuzione: 0.027 secondi).
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
Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing
2023 Rosso, Marco Martino; Aloisio, Angelo; Randazzo, Vincenzo; Tanzi, Leonardo; Cirrincione, Giansalvo; Marano, Giuseppe Carlo
Gradient-Based Competitive Learning: Theory
2023 Cirrincione, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; Pasero, Eros
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.
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
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.
A wearable smart device to monitor multiple vital parameters—VITAL ECG
2020 Randazzo, V.; Ferretti, J.; Pasero, E.
The GH-EXIN neural network for hierarchical clustering
2020 Cirrincione, G.; Ciravegna, G.; Barbiero, P.; Randazzo, V.; Pasero, E.
The Growing Curvilinear Component Analysis (GCCA) neural network
2018 Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, Eros
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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(2023), pp. 213-232. [10.3233/ICA-230709] | 1-gen-2023 | Rosso, Marco MartinoRandazzo, VincenzoTanzi, LeonardoMarano, Giuseppe Carlo + | Comparative_DL_tunnel_monitoring_with_without_Fourier_rev2.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.pdf; GH_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.pdf; GCCA_journal_v23_postPrint_Author.pdf; NeuralNetworks_GCCA_1-s2.0-S0893608018301102-main.pdf |