RANDAZZO, VINCENZO

RANDAZZO, VINCENZO  

Dipartimento di Elettronica e Telecomunicazioni  

041562  

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1-D Convolutional Neural Network for ECG Arrhythmia Classification / Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO. - ELETTRONICO. - 184:(2021), pp. 269-279. [10.1007/978-981-15-5093-5_25] 1-gen-2021 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
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. + PID4894221.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
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
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
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.pdfv5_revisedAndsubmitted.pdf
ECG WATCH: A real time wireless wearable ECG / Randazzo, V.; Ferretti, J.; 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. 08802210_ECG WATCH a real time wireless wearable ECG.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
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
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data / Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, EROS GIAN ALESSANDRO. - ELETTRONICO. - 69:(2017), 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.pdfWIRN2016_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. - ELETTRONICO. - 151:(2020), pp. 235-244. [10.1007/978-981-13-8950-4_22] 1-gen-2020 Cirrincione, GiansalvoRandazzo, VincenzoPasero, Eros + gCCA_onStatorMotors_subafterRev.pdfbookExtracted_Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines.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
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
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals / Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, Eros. - ELETTRONICO. - 151:(2020), 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
Neural feature extraction for the analysis of Parkinsonian patient handwriting / Randazzo, Vincenzo; Cirrincione, Giansalvo; Paviglianiti, Annunziata; Pasero, EROS GIAN ALESSANDRO; Morabito, FRANCESCO CARLO. - ELETTRONICO. - 184:(2021), 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.pdfNeural feature extraction for the analysis of Parkinsonian patient handwriting_v9_revised.pdfbookExtracted_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.pdfPaviglianiti-Neural.pdf
A new unsupervised neural approach to stationary and non-stationary data / Randazzo, V.; Cirrincione, G.; Pasero, E.. - STAMPA. - 189:(2021), 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
Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG / Paviglianiti, A.; Randazzo, V.; Pasero, E.; Vallan, A.. - ELETTRONICO. - (2020), pp. 1-5. ((Intervento presentato al convegno 2020 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2020 tenutosi a hrv nel 2020 [10.1109/I2MTC43012.2020.9129361]. 1-gen-2020 Paviglianiti A.Randazzo V.Pasero E.Vallan A. 1570614204.pdf09129361.pdf