Vincenzo Randazzo

According to our database, Vincenzo Randazzo authored at least 30 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Gradient-Based Competitive Learning: Theory.

Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero

Cogn. Comput., March, 2024

Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing.

Marco Martino Rosso, Angelo Aloisio, Vincenzo Randazzo, Leonardo Tanzi, Giansalvo Cirrincione, Giuseppe Carlo Marano

Integr. Comput. Aided Eng., 2024

2023

Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events.

Eros Pasero, Fiorenzo Gaita, Vincenzo Randazzo, Pierre Meynet, Sergio Cannata, Philippe Maury, Carla Giustetto

Sensors, November, 2023

2022

Development and Validation of an Algorithm for the Digitization of ECG Paper Images.

Vincenzo Randazzo, Edoardo Puleo, Annunziata Paviglianiti, Alberto Vallan, Eros Pasero

Sensors, 2022

A survey on data integration for multi-omics sample clustering.

Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione

Neurocomputing, 2022

A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction.

Annunziata Paviglianiti, Vincenzo Randazzo, Stefano Villata, Giansalvo Cirrincione, Eros Pasero

Cogn. Comput., 2022

2021

Anytime ECG Monitoring through the Use of a Low-Cost, User-Friendly, Wearable Device.

Vincenzo Randazzo, Jacopo Ferretti, Eros Pasero

Sensors, 2021

Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis.

Rahul R. Kumar, Vincenzo Randazzo, Giansalvo Cirrincione, Maurizio Cirrincione, Eros Pasero, Andrea Tortella, Mauro Andriollo

IEEE Access, 2021

Topological Gradient-based Competitive Learning.

Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

A Neural Based Comparative Analysis for Feature Extraction from ECG Signals.

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines.

Giansalvo Cirrincione, Vincenzo Randazzo, Rahul R. Kumar, Maurizio Cirrincione, Eros Pasero

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

The GH-EXIN neural network for hierarchical clustering.

Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero

Neural Networks, 2020

Gradient-based Competitive Learning: Theory.

Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo

CoRR, 2020

Topological Gradient-based Competitive Learning.

Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione

CoRR, 2020

Neural Recurrent Approches to Noninvasive Blood Pressure Estimation.

Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study.

Jacopo Ferretti, Pietro Barbiero, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Shallow Neural Network for Biometrics from the ECG-WATCH.

Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero

Proceedings of the Intelligent Computing Theories and Application, 2020

Double Channel Neural Non Invasive Blood Pressure Prediction.

Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero

Proceedings of the Intelligent Computing Theories and Application, 2020

Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network.

Pietro Barbiero, Marta Lovino, Mattia Siviero, Gabriele Ciravegna, Vincenzo Randazzo, Elisa Ficarra, Giansalvo Cirrincione

Proceedings of the Intelligent Computing Theories and Application, 2020

Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG.

Annunziata Paviglianiti, Vincenzo Randazzo, Eros Pasero, Alberto Vallan

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019

Ubiquitous fridge with natural language interaction.

Renato Ferrero, Mohammad Ghazi Vakili, Edoardo Giusto, Mauro Guerrera, Vincenzo Randazzo

Proceedings of the IEEE International Conference on RFID Technology and Applications, 2019

ECG WATCH: a real time wireless wearable ECG.

Vincenzo Randazzo, Jacopo Ferretti, Eros Pasero

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019

2018

Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data.

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero

Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

The Growing Curvilinear Component Analysis (GCCA) neural network.

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero

Neural Networks, 2018

VITAL-ECG: A portable wearable hospital.

Vincenzo Randazzo, Eros Pasero, Silvio Navaretti

Proceedings of the 2018 IEEE Sensors Applications Symposium, 2018

Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network.

Vincenzo Randazzo, Giansalvo Cirrincione, Gabriele Ciravegna, Eros Pasero

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting.

Vincenzo Randazzo, Giansalvo Cirrincione, Annunziata Paviglianiti, Eros Pasero, Francesco Carlo Morabito

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

1-D Convolutional Neural Network for ECG Arrhythmia Classification.

Jacopo Ferretti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

2015

The on-line curvilinear component analysis (onCCA) for real-time data reduction.

Giansalvo Cirrincione, Jeanny Hérault, Vincenzo Randazzo

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2007

An Improvement of AdaBoost for Face-Detection with Motion and Color Information.

Vincenzo Randazzo, Lisa Usai

Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007