An Improvement of AdaBoost for Face-Detection with Motion and Color Information. - Vincenzo Randazzo; Lisa Usai (ICIAP, 2007)

The on-line curvilinear component analysis (onCCA) for real-time data reduction. - Giansalvo Cirrincione; Jeanny Hérault; Vincenzo Randazzo (IJCNN, 2015)

1-D Convolutional Neural Network for ECG Arrhythmia Classification. - Jacopo Ferretti; Vincenzo Randazzo; Giansalvo Cirrincione; Eros Pasero (IIH-MSP (1), 2017)

Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting. - Vincenzo Randazzo; Giansalvo Cirrincione; Annunziata Paviglianiti; Eros Pasero; Francesco Carlo Morabito (IIH-MSP (1), 2017)

Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network. - Vincenzo Randazzo; Giansalvo Cirrincione; Gabriele Ciravegna; Eros Pasero (IJCNN, 2018)

VITAL-ECG: A portable wearable hospital. - Vincenzo Randazzo; Eros Pasero; Silvio Navaretti (SAS, 2018)

The Growing Curvilinear Component Analysis (GCCA) neural network. - Giansalvo Cirrincione; Vincenzo Randazzo; Eros Pasero (Neural Networks, 2018)

Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data. - Giansalvo Cirrincione; Vincenzo Randazzo; Eros Pasero (Multidisciplinary Approaches to Neural Computing, 2018)

ECG WATCH: a real time wireless wearable ECG. - Vincenzo Randazzo; Jacopo Ferretti; Eros Pasero (MeMeA, 2019)

Ubiquitous fridge with natural language interaction. - Renato Ferrero; Mohammad Ghazi Vakili; Edoardo Giusto; Mauro Guerrera; Vincenzo Randazzo (RFID-TA, 2019)

Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG. - Annunziata Paviglianiti; Vincenzo Randazzo; Eros Pasero; Alberto Vallan (I2MTC, 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 (ICIC (1), 2020)

Double Channel Neural Non Invasive Blood Pressure Prediction. - Annunziata Paviglianiti; Vincenzo Randazzo; Giansalvo Cirrincione; Eros Pasero (ICIC (1), 2020)

Shallow Neural Network for Biometrics from the ECG-WATCH. - Vincenzo Randazzo; Giansalvo Cirrincione; Eros Pasero (ICIC (1), 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 (IJCNN, 2020)

Neural Recurrent Approches to Noninvasive Blood Pressure Estimation. - Annunziata Paviglianiti; Vincenzo Randazzo; Giansalvo Cirrincione; Eros Pasero (IJCNN, 2020)

Topological Gradient-based Competitive Learning. - Pietro Barbiero; Gabriele Ciravegna; Vincenzo Randazzo; Giansalvo Cirrincione (CoRR, 2020)

Gradient-based Competitive Learning: Theory. - Giansalvo Cirrincione; Pietro Barbiero; Gabriele Ciravegna; Vincenzo Randazzo (CoRR, 2020)

The GH-EXIN neural network for hierarchical clustering. - Giansalvo Cirrincione; Gabriele Ciravegna; Pietro Barbiero; Vincenzo Randazzo; Eros Pasero (Neural Networks, 2020)

Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines. - Giansalvo Cirrincione; Vincenzo Randazzo; Rahul R. Kumar; Maurizio Cirrincione; Eros Pasero (Neural Approaches to Dynamics of Signal Exchanges, 2020)

A Neural Based Comparative Analysis for Feature Extraction from ECG Signals. - Giansalvo Cirrincione; Vincenzo Randazzo; Eros Pasero (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Topological Gradient-based Competitive Learning. - Pietro Barbiero; Gabriele Ciravegna; Vincenzo Randazzo; Eros Pasero; Giansalvo Cirrincione (IJCNN, 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)

Anytime ECG Monitoring through the Use of a Low-Cost, User-Friendly, Wearable Device. - Vincenzo Randazzo; Jacopo Ferretti; Eros Pasero (Sensors, 2021)

A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction. - Annunziata Paviglianiti; Vincenzo Randazzo; Stefano Villata; Giansalvo Cirrincione; Eros Pasero (Cogn. Comput., 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)

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 Machine Learning-Based Approach for Evaluating Concrete Mix Design Properties. - Costanza Anerdi; Jonathan Melchiorre; Vincenzo Randazzo; Giuseppe Carlo Marano (WIRN, 2023)

ECG Images Analysis for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome Based on a Vision Transformer Model. - Silvia Caligari; Vincenzo Randazzo; Carla Giustetto; Fiorenzo Gaita; Eros Pasero (WIRN, 2023)

Enhancing ECG Analysis with a Hybrid Deep Learning Approach: Automatic Detection of Significant Features. - Federico Delrio; Valentina De Vitis; Silvia Caligari; Vincenzo Randazzo; Giansalvo Cirrincione; Eros Pasero (WIRN, 2023)

Comparison of LSTM-Based Models for the 6-Hour-Ahead and Day-Ahead Forecasting of Photovoltaic Power Generation. - Giorgia Ghione; Vincenzo Randazzo; Eros Pasero; Marco Badami (WIRN, 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, 2023)

Optimizing Battery Storage Systems in Energy Microgrids: A Reinforcement Learning Approach Comparing Multiple Reward Functions. - Giorgia Ghione; Vincenzo Randazzo; Marco Badami; Eros Pasero (RTSI, 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)

Gradient-Based Competitive Learning: Theory. - Giansalvo Cirrincione; Vincenzo Randazzo; Pietro Barbiero; Gabriele Ciravegna; Eros Pasero (Cogn. Comput., 2024)

A Three-Class AI Model for Brugada Syndrome Detection to Improve Diagnostic Accuracy in ECG Analysis. - Vincenzo Randazzo; Alessandro Casella; Silvia Caligari; Fiorenzo Gaita; Carla Giustetto; Eros Pasero (MeMeA, 2025)

ECG6L: A Real Time Wireless Portable Six-Lead ECG. - Vincenzo Randazzo; Marco Sento; Eros Pasero (MeMeA, 2025)

Optimal Cogeneration Scheduling: A Comparison of Genetic and POMDP-Based Deep Reinforcement Learning Approaches. - Giorgia Ghione; Vincenzo Randazzo; Eros Pasero; Marco Badami (IEEE Access, 2025)