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Vincenzo Randazzo
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Year
A comparison of deep learning techniques for arterial blood pressure prediction
A Paviglianiti, V Randazzo, S Villata, G Cirrincione, E Pasero
Cognitive Computation 14 (5), 1689-1710, 2022
402022
1-D convolutional neural network for ECG arrhythmia classification
J Ferretti, V Randazzo, G Cirrincione, E Pasero
Progresses in Artificial Intelligence and Neural Systems, 269-279, 2021
362021
ECG WATCH: a real time wireless wearable ECG
V Randazzo, J Ferretti, E Pasero
2019 IEEE International Symposium on Medical Measurements and Applications …, 2019
362019
A Wearable Smart Device to Monitor Multiple Vital Parameters—VITAL ECG
V Randazzo, J Ferretti, E Pasero
Electronics 9 (2), 300, 2020
332020
The GH-EXIN neural network for hierarchical clustering
G Cirrincione, G Ciravegna, P Barbiero, V Randazzo, E Pasero
Neural Networks 121, 57-73, 2020
322020
VITAL-ECG: A portable wearable hospital
V Randazzo, E Pasero, S Navaretti
2018 IEEE Sensors Applications Symposium (SAS), 1-6, 2018
282018
A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients
F Alfieri, A Ancona, G Tripepi, D Crosetto, V Randazzo, A Paviglianiti, ...
Journal of Nephrology 34 (6), 1875-1886, 2021
272021
The on-line curvilinear component analysis (onCCA) for real-time data reduction
G Cirrincione, J Hérault, V Randazzo
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
232015
A survey on data integration for multi-omics sample clustering
M Lovino, V Randazzo, G Ciravegna, P Barbiero, E Ficarra, G Cirrincione
Neurocomputing 488, 494-508, 2022
202022
Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG
A Paviglianiti, V Randazzo, E Pasero, A Vallan
2020 IEEE International Instrumentation and Measurement Technology …, 2020
172020
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals
G Cirrincione, V Randazzo, E Pasero
Neural Approaches to Dynamics of Signal Exchanges, 247-256, 2020
172020
The Growing Curvilinear Component Analysis (GCCA) neural network
G Cirrincione, V Randazzo, E Pasero
Neural Networks 103, 108-117, 2018
172018
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data
G Cirrincione, V Randazzo, E Pasero
Multidisciplinary Approaches to Neural Computing, 151-160, 2018
172018
Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis
RR Kumar, V Randazzo, G Cirrincione, M Cirrincione, E Pasero, ...
IEEE Access 9, 2201-2212, 2020
162020
Growing Curvilinear Component Analysis (GCCA) for stator fault detection in induction machines
G Cirrincione, V Randazzo, RR Kumar, M Cirrincione, E Pasero
Neural Approaches to Dynamics of Signal Exchanges, 235-244, 2020
162020
External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients
F Alfieri, A Ancona, G Tripepi, V Randazzo, A Paviglianiti, E Pasero, ...
Journal of Nephrology 35 (8), 2047-2056, 2022
132022
Anytime ECG Monitoring through the Use of a Low-Cost, User-Friendly, Wearable Device
V Randazzo, J Ferretti, E Pasero
Sensors 21 (18), 6036, 2021
132021
Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing
MM Rosso, A Aloisio, V Randazzo, L Tanzi, G Cirrincione, GC Marano
Integrated Computer-Aided Engineering, 1-20, 2023
122023
Ubiquitous fridge with natural language interaction
R Ferrero, MG Vakili, E Giusto, M Guerrera, V Randazzo
2019 IEEE International Conference on RFID Technology and Applications (RFID …, 2019
122019
Analysis of stator faults in induction machines using growing curvilinear component analysis
RR Kumar, V Randazzo, G Cirrincione, M Cirrincione, E Pasero
2017 20th International Conference on Electrical Machines and Systems (ICEMS …, 2017
122017
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Articles 1–20