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

Optimizing Battery Storage Systems in Energy Microgrids: A Reinforcement Learning Approach Comparing Multiple Reward Functions - Giorgia Ghione; Vincenzo Randazzo; Marco Badami; Eros Pasero (8th IEEE Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024, Milano, Italy, September 18-20, 2024, 2024)

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)

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)

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)

Topological Gradient-based Competitive Learning - Pietro Barbiero; Gabriele Ciravegna; Vincenzo Randazzo; Eros Pasero; Giansalvo Cirrincione (International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021)

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

Noninvasive Arterial Blood Pressure Estimation using ABPNet and VITAL-ECG - Annunziata Paviglianiti; Vincenzo Randazzo; Eros Pasero; Alberto Vallan (2020 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2020, Dubrovnik, Croatia, May 25-28, 2020, 2020)

Double Channel Neural Non Invasive Blood Pressure Prediction - Annunziata Paviglianiti; Vincenzo Randazzo; Giansalvo Cirrincione; Eros Pasero (Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part I, 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 (Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part I, 2020)

Shallow Neural Network for Biometrics from the ECG-WATCH - Vincenzo Randazzo; Giansalvo Cirrincione; Eros Pasero (Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part I, 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 (2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, 2020)

Neural Recurrent Approches to Noninvasive Blood Pressure Estimation - Annunziata Paviglianiti; Vincenzo Randazzo; Giansalvo Cirrincione; Eros Pasero (2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, 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; Giansalvo Cirrincione (CoRR, 2020)

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

ECG WATCH: a real time wireless wearable ECG - Vincenzo Randazzo; Jacopo Ferretti; Eros Pasero (IEEE International Symposium on Medical Measurements and Applications, MeMeA 2019, Istanbul, Turkey, June 26-28, 2019, 2019)

Ubiquitous fridge with natural language interaction - Renato Ferrero; Mohammad Ghazi Vakili; Edoardo Giusto; Mauro Guerrera; Vincenzo Randazzo (IEEE International Conference on RFID Technology and Applications, RFID-TA 2019, Pisa, Italy, September 25-27, 2019, 2019)

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

Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network - Vincenzo Randazzo; Giansalvo Cirrincione; Gabriele Ciravegna; Eros Pasero (2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, 2018)

VITAL-ECG: A portable wearable hospital - Vincenzo Randazzo; Eros Pasero; Silvio Navaretti (2018 IEEE Sensors Applications Symposium, SAS 2018, Seoul, South Korea, March 12-14, 2018, 2018)

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

Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting - Vincenzo Randazzo; Giansalvo Cirrincione; Annunziata Paviglianiti; Eros Pasero; Francesco Carlo Morabito (Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceedings of the Thirteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017, August, 12-15, 2017, Matsue, Shimane, Japan, Part I, 2017)

1-D Convolutional Neural Network for ECG Arrhythmia Classification - Jacopo Ferretti; Vincenzo Randazzo; Giansalvo Cirrincione; Eros Pasero (Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceedings of the Thirteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017, August, 12-15, 2017, Matsue, Shimane, Japan, Part I, 2017)

The on-line curvilinear component analysis (onCCA) for real-time data reduction - Giansalvo Cirrincione; Jeanny Hérault; Vincenzo Randazzo (2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015, 2015)

An Improvement of AdaBoost for Face-Detection with Motion and Color Information - Vincenzo Randazzo; Lisa Usai (14th International Conference on Image Analysis and Processing (ICIAP 2007), 10-14 September 2007, Modena, Italy, 2007)