Vincenzo Randazzo

40 papers B 8Misc 1Journal 13Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Three-Class AI Model for Brugada Syndrome Detection to Improve Diagnostic Accuracy in ECG Analysis. MeMeA Vincenzo Randazzo, Alessandro Casella, Silvia Caligari, Fiorenzo Gaita, Carla Giustetto, Eros Pasero
2025	—	`conf`	ECG6L: A Real Time Wireless Portable Six-Lead ECG. MeMeA Vincenzo Randazzo, Marco Sento, Eros Pasero
2025	B	`conf`	Improving Concrete Mix Design Predictions with Machine Learning Algorithms. IJCNN Jonathan Melchiorre, Costanza Anerdi, Vincenzo Randazzo, Giuseppe Carlo Marano
2025	J	`jnl`	Optimal Cogeneration Scheduling: A Comparison of Genetic and POMDP-Based Deep Reinforcement Learning Approaches. IEEE Access Giorgia Ghione, Vincenzo Randazzo, Eros Pasero, Marco Badami
2025	B	`conf`	Unsupervised Defect Detection in Automotive Quality Inspection with Convolutional Autoencoder. IJCNN Alessandro Casella, Vincenzo Randazzo, Eros Pasero
2024	J	`jnl`	Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing. Integr. Comput. Aided Eng. Marco Martino Rosso, Angelo Aloisio, Vincenzo Randazzo, Leonardo Tanzi, Giansalvo Cirrincione, Giuseppe Carlo Marano
2024	J	`jnl`	Gradient-Based Competitive Learning: Theory. Cogn. Comput. Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero
2024	—	`conf`	Optimizing Battery Storage Systems in Energy Microgrids: A Reinforcement Learning Approach Comparing Multiple Reward Functions. RTSI Giorgia Ghione, Vincenzo Randazzo, Marco Badami, Eros Pasero
2023	—	`conf`	A Machine Learning-Based Approach for Evaluating Concrete Mix Design Properties. WIRN Costanza Anerdi, Jonathan Melchiorre, Vincenzo Randazzo, Giuseppe Carlo Marano
2023	J	`jnl`	Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events. Sensors Eros Pasero, Fiorenzo Gaita, Vincenzo Randazzo, Pierre Meynet, Sergio Cannata, Philippe Maury, Carla Giustetto
2023	—	`conf`	Comparison of LSTM-Based Models for the 6-Hour-Ahead and Day-Ahead Forecasting of Photovoltaic Power Generation. WIRN Giorgia Ghione, Vincenzo Randazzo, Eros Pasero, Marco Badami
2023	—	`conf`	ECG Images Analysis for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome Based on a Vision Transformer Model. WIRN Silvia Caligari, Vincenzo Randazzo, Carla Giustetto, Fiorenzo Gaita, Eros Pasero
2023	—	`conf`	Enhancing ECG Analysis with a Hybrid Deep Learning Approach: Automatic Detection of Significant Features. WIRN Federico Delrio, Valentina De Vitis, Silvia Caligari, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
2022	J	`jnl`	A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction. Cogn. Comput. Annunziata Paviglianiti, Vincenzo Randazzo, Stefano Villata, Giansalvo Cirrincione, Eros Pasero
2022	J	`jnl`	A survey on data integration for multi-omics sample clustering. Neurocomputing Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione
2022	J	`jnl`	Development and Validation of an Algorithm for the Digitization of ECG Paper Images. Sensors Vincenzo Randazzo, Edoardo Puleo, Annunziata Paviglianiti, Alberto Vallan, Eros Pasero
2021	J	`jnl`	Anytime ECG Monitoring through the Use of a Low-Cost, User-Friendly, Wearable Device. Sensors Vincenzo Randazzo, Jacopo Ferretti, Eros Pasero
2021	J	`jnl`	Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis. IEEE Access Rahul R. Kumar, Vincenzo Randazzo, Giansalvo Cirrincione, Maurizio Cirrincione, Eros Pasero, Andrea Tortella, Mauro Andriollo
2021	B	`conf`	Topological Gradient-based Competitive Learning. IJCNN Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione
2020	—	`ch.`	A Neural Based Comparative Analysis for Feature Extraction from ECG Signals. Neural Approaches to Dynamics of Signal Exchanges Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero
2020	—	`conf`	Double Channel Neural Non Invasive Blood Pressure Prediction. ICIC (1) Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
2020	J	`jnl`	Gradient-based Competitive Learning: Theory. CoRR Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo
2020	—	`ch.`	Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines. Neural Approaches to Dynamics of Signal Exchanges Giansalvo Cirrincione, Vincenzo Randazzo, Rahul R. Kumar, Maurizio Cirrincione, Eros Pasero
2020	B	`conf`	Neural Recurrent Approches to Noninvasive Blood Pressure Estimation. IJCNN Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
2020	—	`conf`	Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG. I2MTC Annunziata Paviglianiti, Vincenzo Randazzo, Eros Pasero, Alberto Vallan
2020	—	`conf`	Shallow Neural Network for Biometrics from the ECG-WATCH. ICIC (1) Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
2020	J	`jnl`	The GH-EXIN neural network for hierarchical clustering. Neural Networks Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero
2020	J	`jnl`	Topological Gradient-based Competitive Learning. CoRR Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione
2020	B	`conf`	Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study. IJCNN Jacopo Ferretti, Pietro Barbiero, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
2020	—	`conf`	Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network. ICIC (1) Pietro Barbiero, Marta Lovino, Mattia Siviero, Gabriele Ciravegna, Vincenzo Randazzo, Elisa Ficarra, Giansalvo Cirrincione
2019	—	`conf`	ECG WATCH: a real time wireless wearable ECG. MeMeA Vincenzo Randazzo, Jacopo Ferretti, Eros Pasero
2019	—	`conf`	Ubiquitous fridge with natural language interaction. RFID-TA Renato Ferrero, Mohammad Ghazi Vakili, Edoardo Giusto, Mauro Guerrera, Vincenzo Randazzo
2018	—	`ch.`	Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data. Multidisciplinary Approaches to Neural Computing Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero
2018	B	`conf`	Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network. IJCNN Vincenzo Randazzo, Giansalvo Cirrincione, Gabriele Ciravegna, Eros Pasero
2018	J	`jnl`	The Growing Curvilinear Component Analysis (GCCA) neural network. Neural Networks Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero
2018	B	`conf`	VITAL-ECG: A portable wearable hospital. SAS Vincenzo Randazzo, Eros Pasero, Silvio Navaretti
2017	—	`conf`	1-D Convolutional Neural Network for ECG Arrhythmia Classification. IIH-MSP (1) Jacopo Ferretti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
2017	—	`conf`	Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting. IIH-MSP (1) Vincenzo Randazzo, Giansalvo Cirrincione, Annunziata Paviglianiti, Eros Pasero, Francesco Carlo Morabito
2015	B	`conf`	The on-line curvilinear component analysis (onCCA) for real-time data reduction. IJCNN Giansalvo Cirrincione, Jeanny Hérault, Vincenzo Randazzo
2007	Misc	`conf`	An Improvement of AdaBoost for Face-Detection with Motion and Color Information. ICIAP Vincenzo Randazzo, Lisa Usai