Archivio Istituzionale della RicercaRANDAZZO, VINCENZO
RANDAZZO, VINCENZO
Dipartimento di Elettronica e Telecomunicazioni
041562
1-D Convolutional Neural Network for ECG Arrhythmia Classification
2021 Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO
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 Neural Based Comparative Analysis for Feature Extraction from ECG Signals
2020 Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, Eros
A new unsupervised neural approach to stationary and non-stationary data
2021 Randazzo, V.; Cirrincione, G.; Pasero, E.
A survey on data integration for multi-omics sample clustering
2022 Lovino, M.; Randazzo, V.; Ciravegna, G.; Barbiero, P.; Ficarra, E.; Cirrincione, G.
A wearable smart device to monitor multiple vital parameters—VITAL ECG
2020 Randazzo, V.; Ferretti, J.; Pasero, E.
Analysis of stator faults in induction machines using growing curvilinear component analysis
2017 Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.
Anytime ecg monitoring through the use of a low-cost, user-friendly, wearable device
2021 Randazzo, V.; Ferretti, J.; Pasero, E.
Audio signal digital processing method and system thereof
2017 Pirrone, Vito; Tiberino, Maria Sole; Randazzo, Vincenzo; Ahmadi, Mehrnoosh; Zaretskaya, Maryia; Cornetto, Stefano; Strazzacapa, Martina
Development and Validation of an Algorithm for the Digitization of ECG Paper Images
2022 Randazzo, V.; Puleo, E.; Paviglianiti, A.; Vallan, A.; Pasero, E.
Double Channel Neural Non Invasive Blood Pressure Prediction
2020 Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E.
ECG WATCH: A real time wireless wearable ECG
2019 Randazzo, V.; Ferretti, Jacopo; 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.
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data
2017 Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, EROS GIAN ALESSANDRO
Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines
2020 Cirrincione, Giansalvo; Randazzo, Vincenzo; Kumar, Rahul R.; Cirrincione, Maurizio; Pasero, Eros
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.
Metodo di processo digitale di un segnale audio e relativo sistema per uso in un impianto produttivo con macchinari
2018 Cino, Marco; Zaretskaya, Maryia; Pirrone, Vito; Tiberino, Maria Sole; Cornetto, Stefano; Randazzo, Vincenzo
Neural feature extraction for the analysis of Parkinsonian patient handwriting
2021 Randazzo, Vincenzo; Cirrincione, Giansalvo; Paviglianiti, Annunziata; Pasero, EROS GIAN ALESSANDRO; Morabito, FRANCESCO CARLO
Neural Recurrent Approches to Noninvasive Blood Pressure Estimation
2020 Paviglianiti, Annunziata; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 1-D Convolutional Neural Network for ECG Arrhythmia Classification / Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO (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, 2021. - ISBN 978-981-15-5093-5. - pp. 269-279 [10.1007/978-981-15-5093-5_25] | 1-gen-2021 | Jacopo FerrettiVincenzo RandazzoGiansalvo CirrincioneEros Pasero | Wirn2019_ECG_DeepLearning_abstract.pdf; Wirn2019_ECG_DeepLearning_v5_final.pdf; bookExtracted_1-D Convolutional Neural Network for ECG Arrhythmia Classification.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 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.pdf; bookExtracted_A Neural Based Comparative Analysis for Feature Extraction from ECG Signals.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 |
| 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.Ficarra E.Cirrincione G. + | Randazzo-ASurvey.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 |
| Analysis of stator faults in induction machines using growing curvilinear component analysis / Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.. - (2017), pp. 1-6. (Intervento presentato al convegno 20th International Conference on Electrical Machines and Systems, ICEMS 2017 tenutosi a aus nel 2017) [10.1109/ICEMS.2017.8056240]. | 1-gen-2017 | Randazzo, V.Cirrincione, G.Pasero, E. + | - |
| 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 |
| Audio signal digital processing method and system thereof / Pirrone, Vito; Tiberino, Maria Sole; Randazzo, Vincenzo; Ahmadi, Mehrnoosh; Zaretskaya, Maryia; Cornetto, Stefano; Strazzacapa, Martina. - (2017). | 1-gen-2017 | RANDAZZO, VincenzoMEHRNOOSH, Ahmadi + | 102017000073663.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 |
| Double Channel Neural Non Invasive Blood Pressure Prediction / Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E.. - ELETTRONICO. - 12463:(2020), pp. 160-171. (Intervento presentato al convegno 16th International Conference on Intelligent Computing, ICIC 2020 tenutosi a ita nel 2020) [10.1007/978-3-030-60799-9_14]. | 1-gen-2020 | Paviglianiti A.Randazzo V.Cirrincione G.Pasero E. | bookExtracted_DoubleChannelNeuralNonInvasiveBloodPressurePrediction.pdf; v5_revisedAndsubmitted.pdf |
| ECG WATCH: A real time wireless wearable ECG / Randazzo, V.; Ferretti, Jacopo; Pasero, E.. - ELETTRONICO. - (2019), pp. 1-6. (Intervento presentato al convegno 2019 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2019 tenutosi a Kadir Has University (KHU), tur nel 2019) [10.1109/MeMeA.2019.8802210]. | 1-gen-2019 | Randazzo V.FERRETTI, JACOPOPasero E. | - |
| 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 |
| Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data / Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, EROS GIAN ALESSANDRO (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Multidisciplinary Approaches to Neural Computing / Esposito, A., Faundez-Zanuy, M., Morabito, F.C., Pasero, E.. - ELETTRONICO. - [s.l] : Springer International Publishing, 2017. - ISBN 978-3-319-56904-8. - pp. 151-160 [10.1007/978-3-319-56904-8_15] | 1-gen-2017 | CIRRINCIONE, GIANSALVORANDAZZO, VINCENZOPASERO, EROS GIAN ALESSANDRO | bookExtracted_Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data.pdf; WIRN2016_gCCAv.11 - UPLOADED.pdf |
| Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines / Cirrincione, Giansalvo; Randazzo, Vincenzo; Kumar, Rahul R.; Cirrincione, Maurizio; Pasero, Eros (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Neural Approaches to Dynamics of Signal Exchanges / Esposito A., Faundez-Zanuy M., Morabito F., Pasero E.. - ELETTRONICO. - [s.l] : Springer Singapore, 2020. - ISBN 978-981-13-8950-4. - pp. 235-244 [10.1007/978-981-13-8950-4_22] | 1-gen-2020 | Cirrincione, GiansalvoRandazzo, VincenzoPasero, Eros + | gCCA_onStatorMotors_subafterRev.pdf; bookExtracted_Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines.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 |
| Metodo di processo digitale di un segnale audio e relativo sistema per uso in un impianto produttivo con macchinari / Cino, Marco; Zaretskaya, Maryia; Pirrone, Vito; Tiberino, Maria Sole; Cornetto, Stefano; Randazzo, Vincenzo. - (2018). | 1-gen-2018 | RANDAZZO, Vincenzo + | 102018000002927.pdf |
| Neural feature extraction for the analysis of Parkinsonian patient handwriting / Randazzo, Vincenzo; Cirrincione, Giansalvo; Paviglianiti, Annunziata; Pasero, EROS GIAN ALESSANDRO; Morabito, FRANCESCO CARLO (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, 2021. - ISBN 978-981-15-5093-5. - pp. 243-253 [10.1007/978-981-15-5093-5_23] | 1-gen-2021 | Vincenzo RandazzoGiansalvo CirrincionePAVIGLIANITI, ANNUNZIATAEros Pasero + | Neural feature extraction for the analysis of Parkinsonian patient handwriting_v7.pdf; Neural feature extraction for the analysis of Parkinsonian patient handwriting_v9_revised.pdf; bookExtracted_Neural feature extraction for the analysis of Parkinsonian patient handwriting.pdf |
| Neural Recurrent Approches to Noninvasive Blood Pressure Estimation / Paviglianiti, Annunziata; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO. - ELETTRONICO. - (2020), pp. 1-7. (Intervento presentato al convegno 2020 International Joint Conference on Neural Networks, IJCNN 2020 tenutosi a Glasgow, United Kingdom, United Kingdom nel 19-24 July 2020) [10.1109/IJCNN48605.2020.9207317]. | 1-gen-2020 | Annunziata PaviglianitiVincenzo RandazzoGiansalvo CirrincioneEros Pasero | PID6437761.pdf; Paviglianiti-Neural.pdf |