Personal information

Italy

Biography

Vincenzo Randazzo is a researcher at the Politecnico di Torino on the topic “Neural networks for telemedicine”. He got his PhD cum laude at the Politecnico di Torino with a final thesis on “Novel Neural Approaches to Data Topology Analysis and Telemedicine”. He graduated with honors in Computer Engineering from the University of Palermo. He has published on Neural Networks (Elsevier), Electronics (MDPI) and has several chapters of Springer books to his credit; Furthermore, his works have been accepted at SAS2018, IJCNN2018, WIRN2018, WIRN2019, MEMEA2019, I2MTC2020, IJCNN2020. His current research interests include: neural networks, data analysis and intrinsic dimension estimation, pattern recognition, diagnosis of nonlinear systems, medical and biomedical applications. He is a member of the IEEE student branch and former treasurer of the same at the Polytechnic of Turin. He also won the "Technology transfer: prototyping and business development activities in entrepreneurship start-up programs" research fellowship to promote the culture of innovation and entrepreneurship among young talents. He is an IEEE Young Professionals and the former treasurer of Politecnico di Torino IEEE Student Branch.
He has also been the student representative both into the IEEC Doctoral council and into the DET Department council.
He has successfully participated to several programs about innovation, both as a mentor and as a student, such as EIA2017 and Innovation For Change 2017.

Activities

Employment (1)

Politecnico di Torino: Torino, Piemonte, IT

2016-06-01 to present (DET - Department of Electronics and Telecommunications )
Employment
Source: Self-asserted source
Vincenzo Randazzo

Education and qualifications (1)

Politecnico di Torino: Turin, IT

2016-11-01 to 2020-09-22 | Ph.D. cum laude in Electrical, Electronics and Communications Engineering (Department of Electronics and Telecommunication)
Education
Source: Self-asserted source
Vincenzo Randazzo

Works (36)

A Vision Transformer Model for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome

Sensors
2025-01 | Journal article | Author
Contributors: Vincenzo Randazzo; Silvia Caligari; Eros Pasero; Carla GIUSTETTO; Andrea Saglietto; William Bertarello; Amir Averbuch; Mira Marcus-Kalish; Valery Zheludev; Fiorenzo Gaita
Source: check_circle
Multidisciplinary Digital Publishing Institute

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

Sensors
2023-11 | Journal article | Author
Contributors: Eros Pasero; Fiorenzo Gaita; Vincenzo Randazzo; Pierre Meynet; SERGIO CANNATA; Philippe Maury; Carla GIUSTETTO
Source: check_circle
Multidisciplinary Digital Publishing Institute

Gradient-Based Competitive Learning: Theory

Cognitive Computation
2023-11-23 | Journal article | Author
Part of ISSN: 1866-9956
Part of ISSN: 1866-9964
Contributors: Giansalvo Cirrincione; Vincenzo Randazzo; Pietro Barbiero; Gabriele Ciravegna; Eros Pasero
Source: Self-asserted source
Vincenzo Randazzo

Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network

Engineering Proceedings
2023-07 | Journal article | Author
Contributors: Federico Delrio; Vincenzo Randazzo; Giansalvo Cirrincione; Eros Pasero
Source: check_circle
Multidisciplinary Digital Publishing Institute

A survey on data integration for multi-omics sample clustering

Neurocomputing
2022 | Journal article
EID:

2-s2.0-85121118733

Contributors: Lovino, M.; Randazzo, V.; Ciravegna, G.; Barbiero, P.; Ficarra, E.; Cirrincione, G.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients

Journal of Nephrology
2022 | Journal article
EID:

2-s2.0-85129900716

Part of ISSN: 17246059 11218428
Contributors: Alfieri, F.; Ancona, A.; Tripepi, G.; Randazzo, V.; Paviglianiti, A.; Pasero, E.; Vecchi, L.; Politi, C.; Cauda, V.; Fagugli, R.M.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Tracking Evolution of Stator-based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network

2022 25th International Conference on Electrical Machines and Systems (ICEMS)
2022-11-29 | Conference paper
Contributors: Rahul R Kumar; Vincenzo Randazzo; Giansalvo Cirrincione; Maurizio Cirrinicone
Source: Self-asserted source
Vincenzo Randazzo

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

Sensors
2022-09 | Journal article | Author
Contributors: Vincenzo Randazzo; Edoardo Puleo; Annunziata Paviglianiti; Alberto Vallan; Eros Pasero
Source: check_circle
Multidisciplinary Digital Publishing Institute

1-D Convolutional Neural Network for ECG Arrhythmia Classification

Smart Innovation, Systems and Technologies
2021 | Book
EID:

2-s2.0-85088478446

Contributors: Ferretti, J.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction

Cognitive Computation
2021 | Journal article
EID:

2-s2.0-85113688217

Part of ISSN: 18669964 18669956
Contributors: Paviglianiti, A.; Randazzo, V.; Villata, S.; Cirrincione, G.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients

Journal of Nephrology
2021 | Journal article
EID:

2-s2.0-85105272981

Part of ISSN: 17246059 11218428
Contributors: Alfieri, F.; Ancona, A.; Tripepi, G.; Crosetto, D.; Randazzo, V.; Paviglianiti, A.; Pasero, E.; Vecchi, L.; Cauda, V.; Fagugli, R.M.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

A new unsupervised neural approach to stationary and non-stationary data

Intelligent Systems Reference Library
2021 | Book
EID:

2-s2.0-85090531539

Contributors: Randazzo, V.; Cirrincione, G.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Anytime ecg monitoring through the use of a low-cost, user-friendly, wearable device

Sensors
2021 | Journal article
EID:

2-s2.0-85114556134

Part of ISSN: 14248220
Contributors: Randazzo, V.; Ferretti, J.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier
grade
Preferred source (of 2)‎

Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis

IEEE Access
2021 | Journal article
EID:

2-s2.0-85098795036

Part of ISSN: 21693536
Contributors: Kumar, R.R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.; Tortella, A.; Andriollo, M.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting

Smart Innovation, Systems and Technologies
2021 | Book
EID:

2-s2.0-85088428816

Contributors: Randazzo, V.; Cirrincione, G.; Paviglianiti, A.; Pasero, E.; Morabito, F.C.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Topological Gradient-based Competitive Learning

Proceedings of the International Joint Conference on Neural Networks
2021 | Conference paper
EID:

2-s2.0-85116447807

Contributors: Barbiero, P.; Ciravegna, G.; Randazzo, V.; Pasero, E.; Cirrincione, G.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier
grade
Preferred source (of 3)‎

A Neural Based Comparative Analysis for Feature Extraction from ECG Signals

Smart Innovation, Systems and Technologies
2020 | Book
EID:

2-s2.0-85073162896

Contributors: Cirrincione, G.; Randazzo, V.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

A wearable smart device to monitor multiple vital parameters—VITAL ECG

Electronics (Switzerland)
2020 | Journal article
EID:

2-s2.0-85079558818

Part of ISBN:

20799292

Contributors: Randazzo, V.; Ferretti, J.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Double Channel Neural Non Invasive Blood Pressure Prediction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | Book
EID:

2-s2.0-85093849270

Part of ISSN: 16113349 03029743
Contributors: Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Gradient-based competitive learning: Theory

arXiv
2020 | Other
EID:

2-s2.0-85098387135

Part of ISSN: 23318422
Contributors: Cirrincione, G.; Barbiero, P.; Ciravegna, G.; Randazzo, V.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

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

Smart Innovation, Systems and Technologies
2020 | Book
EID:

2-s2.0-85073165920

Contributors: Cirrincione, G.; Randazzo, V.; Kumar, R.R.; Cirrincione, M.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Neural Recurrent Approches to Noninvasive Blood Pressure Estimation

Proceedings of the International Joint Conference on Neural Networks
2020 | Conference paper
EID:

2-s2.0-85093834737

Contributors: Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG

I2MTC 2020 - International Instrumentation and Measurement Technology Conference, Proceedings
2020 | Conference paper
EID:

2-s2.0-85088285182

Contributors: Paviglianiti, A.; Randazzo, V.; Pasero, E.; Vallan, A.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Shallow Neural Network for Biometrics from the ECG-WATCH

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | Book
EID:

2-s2.0-85093849263

Part of ISSN: 16113349 03029743
Contributors: Randazzo, V.; Cirrincione, G.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

The GH-EXIN neural network for hierarchical clustering

Neural Networks
2020 | Journal article
EID:

2-s2.0-85072190233

Contributors: Cirrincione, G.; Ciravegna, G.; Barbiero, P.; Randazzo, V.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study

Proceedings of the International Joint Conference on Neural Networks
2020 | Conference paper
EID:

2-s2.0-85093875151

Contributors: Ferretti, J.; Barbiero, P.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | Book
EID:

2-s2.0-85093858960

Part of ISSN: 16113349 03029743
Contributors: Barbiero, P.; Lovino, M.; Siviero, M.; Ciravegna, G.; Randazzo, V.; Ficarra, E.; Cirrincione, G.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

ECG WATCH: A real time wireless wearable ECG

Medical Measurements and Applications, MeMeA 2019 - Symposium Proceedings
2019 | Conference paper
EID:

2-s2.0-85071732402

Contributors: Randazzo, V.; Ferretti, J.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Ubiquitous fridge with natural language interaction

2019 IEEE International Conference on RFID Technology and Applications, RFID-TA 2019
2019 | Conference paper
EID:

2-s2.0-85075750875

Contributors: Ferrero, R.; Vakili, M.G.; Giusto, E.; Guerrera, M.; Randazzo, V.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

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

Proceedings of the International Joint Conference on Neural Networks
2018 | Conference paper
EID:

2-s2.0-85056537347

Contributors: Randazzo, V.; Cirrincione, G.; Ciravegna, G.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Power Switch Open-Circuit Fault Detection in an Interleaved DC/DC Buck Converter for Electrolyzer Applications by Using Curvilinear Component Analysis

ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems
2018 | Conference paper
EID:

2-s2.0-85060030678

Contributors: Cirrincione, G.; Cirrincione, M.; Guilbert, D.; Mohammadi, A.; Randazzo, V.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

The Growing Curvilinear Component Analysis (GCCA) neural network

Neural Networks
2018 | Journal article
EID:

2-s2.0-85045640876

Contributors: Cirrincione, G.; Randazzo, V.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

VITAL-ECG: A portable wearable hospital

2018 IEEE Sensors Applications Symposium, SAS 2018 - Proceedings
2018 | Conference paper
EID:

2-s2.0-85050080320

Contributors: Randazzo, V.; Pasero, E.; Navaretti, S.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Analysis of stator faults in induction machines using growing curvilinear component analysis

2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017
2017 | Conference paper
EID:

2-s2.0-85034643909

Contributors: Kumar, R.R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Growing curvilinear component analysis (GCCA) for dimensionality reduction of nonstationary data

Smart Innovation, Systems and Technologies
2017 | Book
EID:

2-s2.0-85029173032

Contributors: Cirrincione, G.; Randazzo, V.; Pasero, E.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

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

Proceedings of the International Joint Conference on Neural Networks
2015 | Conference paper
EID:

2-s2.0-84951003155

Contributors: Cirrincione, G.; Hérault, J.; Randazzo, V.
Source: Self-asserted source
Vincenzo Randazzo via Scopus - Elsevier

Peer review (8 reviews for 5 publications/grants)

Review activity for Computers in biology and medicine. (2)
Review activity for Electronics. (1)
Review activity for International journal of environmental research and public health (3)
Review activity for Sensors. (1)
Review activity for Technologies (1)