Vincenzo Randazzo
Orcid: 0000-0003-3640-8561
According to our database1,
Vincenzo Randazzo
authored at least 31 papers
between 2007 and 2024.
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Bibliography
2024
Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing.
Integr. Comput. Aided Eng., 2024
Optimizing Battery Storage Systems in Energy Microgrids: A Reinforcement Learning Approach Comparing Multiple Reward Functions.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024
2023
Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events.
Sensors, November, 2023
2022
Sensors, 2022
Cogn. Comput., 2022
2021
Anytime ECG Monitoring through the Use of a Low-Cost, User-Friendly, Wearable Device.
Sensors, 2021
Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis.
IEEE Access, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
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.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Intelligent Computing Theories and Application, 2020
Proceedings of the Intelligent Computing Theories and Application, 2020
Proceedings of the Intelligent Computing Theories and Application, 2020
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2019
Proceedings of the IEEE International Conference on RFID Technology and Applications, 2019
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019
2018
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
Neural Networks, 2018
Proceedings of the 2018 IEEE Sensors Applications Symposium, 2018
Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017
2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2007
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007