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Vincenzo Randazzo
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2020 – today
- 2024
- [j10]Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero:
Gradient-Based Competitive Learning: Theory. Cogn. Comput. 16(2): 608-623 (2024) - [j9]Marco Martino Rosso, Angelo Aloisio, Vincenzo Randazzo, Leonardo Tanzi, Giansalvo Cirrincione, Giuseppe Carlo Marano:
Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing. Integr. Comput. Aided Eng. 31(2): 213-232 (2024) - [c16]Giorgia Ghione, Vincenzo Randazzo, Marco Badami, Eros Pasero:
Optimizing Battery Storage Systems in Energy Microgrids: A Reinforcement Learning Approach Comparing Multiple Reward Functions. RTSI 2024: 642-646 - 2023
- [j8]Eros Pasero, Fiorenzo Gaita, Vincenzo Randazzo, Pierre Meynet, Sergio Cannata, Philippe Maury, Carla Giustetto:
Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events. Sensors 23(21): 8900 (2023) - 2022
- [j7]Annunziata Paviglianiti, Vincenzo Randazzo, Stefano Villata, Giansalvo Cirrincione, Eros Pasero:
A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction. Cogn. Comput. 14(5): 1689-1710 (2022) - [j6]Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione:
A survey on data integration for multi-omics sample clustering. Neurocomputing 488: 494-508 (2022) - [j5]Vincenzo Randazzo, Edoardo Puleo, Annunziata Paviglianiti, Alberto Vallan, Eros Pasero:
Development and Validation of an Algorithm for the Digitization of ECG Paper Images. Sensors 22(19): 7138 (2022) - 2021
- [j4]Rahul R. Kumar, Vincenzo Randazzo, Giansalvo Cirrincione, Maurizio Cirrincione, Eros Pasero, Andrea Tortella, Mauro Andriollo:
Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis. IEEE Access 9: 2201-2212 (2021) - [j3]Vincenzo Randazzo, Jacopo Ferretti, Eros Pasero:
Anytime ECG Monitoring through the Use of a Low-Cost, User-Friendly, Wearable Device. Sensors 21(18): 6036 (2021) - [c15]Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione:
Topological Gradient-based Competitive Learning. IJCNN 2021: 1-8 - 2020
- [j2]Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero:
The GH-EXIN neural network for hierarchical clustering. Neural Networks 121: 57-73 (2020) - [c14]Annunziata Paviglianiti, Vincenzo Randazzo, Eros Pasero, Alberto Vallan:
Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG. I2MTC 2020: 1-5 - [c13]Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
Double Channel Neural Non Invasive Blood Pressure Prediction. ICIC (1) 2020: 160-171 - [c12]Pietro Barbiero, Marta Lovino, Mattia Siviero, Gabriele Ciravegna, Vincenzo Randazzo, Elisa Ficarra, Giansalvo Cirrincione:
Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network. ICIC (1) 2020: 172-182 - [c11]Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
Shallow Neural Network for Biometrics from the ECG-WATCH. ICIC (1) 2020: 259-269 - [c10]Jacopo Ferretti, Pietro Barbiero, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study. IJCNN 2020: 1-7 - [c9]Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
Neural Recurrent Approches to Noninvasive Blood Pressure Estimation. IJCNN 2020: 1-7 - [p3]Giansalvo Cirrincione, Vincenzo Randazzo, Rahul R. Kumar, Maurizio Cirrincione, Eros Pasero:
Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines. Neural Approaches to Dynamics of Signal Exchanges 2020: 235-244 - [p2]Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero:
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals. Neural Approaches to Dynamics of Signal Exchanges 2020: 247-256 - [i2]Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione:
Topological Gradient-based Competitive Learning. CoRR abs/2008.09477 (2020) - [i1]Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo:
Gradient-based Competitive Learning: Theory. CoRR abs/2009.02799 (2020)
2010 – 2019
- 2019
- [c8]Vincenzo Randazzo, Jacopo Ferretti, Eros Pasero:
ECG WATCH: a real time wireless wearable ECG. MeMeA 2019: 1-6 - [c7]Renato Ferrero, Mohammad Ghazi Vakili, Edoardo Giusto, Mauro Guerrera, Vincenzo Randazzo:
Ubiquitous fridge with natural language interaction. RFID-TA 2019: 404-409 - 2018
- [j1]Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero:
The Growing Curvilinear Component Analysis (GCCA) neural network. Neural Networks 103: 108-117 (2018) - [c6]Vincenzo Randazzo, Giansalvo Cirrincione, Gabriele Ciravegna, Eros Pasero:
Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network. IJCNN 2018: 1-6 - [c5]Vincenzo Randazzo, Eros Pasero, Silvio Navaretti:
VITAL-ECG: A portable wearable hospital. SAS 2018: 1-6 - [p1]Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero:
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data. Multidisciplinary Approaches to Neural Computing 2018: 151-160 - 2017
- [c4]Vincenzo Randazzo, Giansalvo Cirrincione, Annunziata Paviglianiti, Eros Pasero, Francesco Carlo Morabito:
Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting. IIH-MSP (1) 2017: 243-253 - [c3]Jacopo Ferretti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
1-D Convolutional Neural Network for ECG Arrhythmia Classification. IIH-MSP (1) 2017: 269-279 - 2015
- [c2]Giansalvo Cirrincione, Jeanny Hérault, Vincenzo Randazzo:
The on-line curvilinear component analysis (onCCA) for real-time data reduction. IJCNN 2015: 1-8
2000 – 2009
- 2007
- [c1]Vincenzo Randazzo, Lisa Usai:
An Improvement of AdaBoost for Face-Detection with Motion and Color Information. ICIAP 2007: 518-523
Coauthor Index
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