RANDAZZO, VINCENZO

RANDAZZO, VINCENZO  

Dipartimento di Elettronica e Telecomunicazioni  

041562  

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Citazione Data di pubblicazione Autori File
Enhanced Neural Real-Time Digital Twin for Electrical Drives / Di Benedetto, M., Randazzo, V., Lidozzi, A., Accetta, A., Ghione, G., Solero, L., Cirrincione, G., Pasero, E.G.A.. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 16:8(2026). [10.3390/app16083955] 1-gen-2026 Randazzo, VincenzoLidozzi, AlessandroGhione, GiorgiaPasero, Eros Gian Alessandro + 2026_Journal_appliedSciences_PRIN_Digital Twin.pdf
A Vision Transformer Model for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome / Randazzo, V., Caligari, S., Pasero, E., Giustetto, C., Saglietto, A., Bertarello, W., Averbuch, A., Marcus-Kalish, M., Zheludev, V., Gaita, F.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 25:3(2025). [10.3390/s25030824] 1-gen-2025 Randazzo V.Caligari S.Pasero E. + 2025_Journal_sensors_Brugada_ViT.pdf
Optimal Cogeneration Scheduling: A Comparison of Genetic and POMDP-Based Deep Reinforcement Learning Approaches / Ghione, G., Randazzo, V., Pasero, E., Badami, M.. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 13:(2025), pp. 128562-128581. [10.1109/access.2025.3590255] 1-gen-2025 Ghione, GiorgiaRandazzo, VincenzoPasero, ErosBadami, Marco Optimal_Cogeneration_Scheduling_A_Comparison_of_Genetic_and_POMDP-Based_Deep_Reinforcement_Learning_Approaches.pdf
Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing / Rosso, M.M., Aloisio, A., Randazzo, V., Tanzi, L., Cirrincione, G., Marano, G.C.. - 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
Gradient-Based Competitive Learning: Theory / Cirrincione, G., Randazzo, V., Barbiero, P., Ciravegna, G., Pasero, E.. - In: COGNITIVE COMPUTATION. - ISSN 1866-9956. - ELETTRONICO. - 16:(2024), pp. 608-623. [10.1007/s12559-023-10225-5] 1-gen-2024 Randazzo, VincenzoCiravegna, GabrielePasero, Eros + Randazzo-Gradient.pdf
Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events / Pasero, E., Gaita, F., Randazzo, V., Meynet, P., Cannata, S., Maury, P., Giustetto, C.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 23:21(2023). [10.3390/s23218900] 1-gen-2023 Pasero, ErosRandazzo, VincenzoCannata, Sergio + sensors-23-08900-v2.pdf
Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network / Delrio, F., Randazzo, V., Cirrincione, G., Pasero, E.. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 39:(2023). [10.3390/engproc2023039078] 1-gen-2023 Federico DelrioVincenzo RandazzoEros Pasero + engproc-39-00078.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. - (2022). [10.1007/s12559-021-09910-0] 1-gen-2022 Paviglianiti A.Randazzo V.Cirrincione G.Pasero E. + Paviglianiti2021_Article_AComparisonOfDeepLearningTechn.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 deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients / Alfieri, F., Ancona, A., Tripepi, G., Crosetto, D., Randazzo, V., Paviglianiti, A., Pasero, E., Vecchi, L., Cauda, V., Fagugli, R.M.. - 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, G., Randazzo, V., Pasero, E.. - 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