Giansalvo Cirrincione

According to our database, Giansalvo Cirrincione authored at least 69 papers between 1999 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The geometry of BERT.

Matteo Bonino, Giorgia Ghione, Giansalvo Cirrincione

CoRR, February, 2025

An Optimized Rotational Position Encoding for 1-D Convolutional Transformer Hybrid Neural Network Fault Diagnosis on Power Converters.

Samuela Rokocakau, Giulia Tresca, Farnoush Shamsazad, Pericle Zanchetta, Giansalvo Cirrincione, Maurizio Cirrincione

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2025

2024

Gradient-Based Competitive Learning: Theory.

Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero

Cogn. Comput., March, 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

Enhancing neural network classification using fractional-order activation functions.

Meshach Kumar, Utkal Mehta, Giansalvo Cirrincione

AI Open, 2024

An Overview of Artificial Intelligence-Based Techniques for PEMFC System Diagnosis.

Priynka Sharma, Maurizio Cirrincione, Ali Mohammadi, Giansalvo Cirrincione, Rahul R. Kumar

IEEE Access, 2024

Gear Degradation Study Using Statistical Time Features and Shallow Neural Networks.

Shahil Kumar, Krish K. Raj, Maurizio Cirrincione, Giansalvo Cirrincione, Rahul R. Kumar

IEEE Access, 2024

2023

Transformer-Based Approach to Melanoma Detection.

Giansalvo Cirrincione, Sergio Cannata, Giovanni Cicceri, Francesco Prinzi, Tiziana Currieri, Marta Lovino, Carmelo Militello, Eros Pasero, Salvatore Vitabile

Sensors, 2023

Multi-objective Multi-layer Perceptron Architecture Optimization for Rapid Post-earthquake Damage Evaluation.

Marco M. Rosso, Angelo Aloisio, Andrea Matteo De Leo, Maria Basi, Giansalvo Cirrincione, Giuseppe Carlo Marano

Proceedings of the Advanced Neural Artificial Intelligence: Theories and Applications, 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

Proceedings of the Advanced Neural Artificial Intelligence: Theories and Applications, 2023

ViT-Based Classification of Mammogram Images: Impact of Data Augmentation Techniques.

Sergio Cannata, Giovanni Cicceri, Giansalvo Cirrincione, Tiziana Currieri, Marta Lovino, Carmelo Militello, Eros Pasero, Francesco Prinzi, Salvatore Vitabile

Proceedings of the Advanced Neural Artificial Intelligence: Theories and Applications, 2023

Compact Convolutional Transformer Fourier analysis for GPR tunnels assessment.

Jonathan Melchiorre, Marco Martino Rosso, Giansalvo Cirrincione, Giuseppe Carlo Marano

Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

Leveraging Diffuser Data Augmentation to Enhance ViT-Based Performance on Dermatoscopic Melanoma Images Classification.

Tiziana Currieri, Giovanni Cicceri, Sergio Cannata, Giansalvo Cirrincione, Marta Lovino, Carmelo Militello, Francesco Prinzi, Eros Pasero, Salvatore Vitabile

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2023

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

A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction.

Annunziata Paviglianiti, Vincenzo Randazzo, Stefano Villata, Giansalvo Cirrincione, Eros Pasero

Cogn. Comput., 2022

Deep Learning Algorithms for Automatic COVID-19 Detection on Chest X-Ray Images.

Sergio Cannata, Annunziata Paviglianiti, Eros Pasero, Giansalvo Cirrincione, Maurizio Cirrincione

IEEE Access, 2022

Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects' Automated Classification.

Giulia Marasco, Marco M. Rosso, Salvatore Aiello, Angelo Aloisio, Giansalvo Cirrincione, Bernardino Chiaia, Giuseppe Carlo Marano

Proceedings of the Engineering Applications of Neural Networks, 2022

2021

Vision Transformers for femur fracture classification.

Leonardo Tanzi, Andrea Audisio, Giansalvo Cirrincione, Alessandro Aprato, Enrico Vezzetti

CoRR, 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

Topological Gradient-based Competitive Learning.

Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

A Neural Based Comparative Analysis for Feature Extraction from ECG Signals.

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

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

Giansalvo Cirrincione, Vincenzo Randazzo, Rahul R. Kumar, Maurizio Cirrincione, Eros Pasero

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition.

Giansalvo Cirrincione, Federica Marcolin, S. Spada, Enrico Vezzetti

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network.

Gabriele Ciravegna, Giansalvo Cirrincione, Federica Marcolin, Pietro Barbiero, Nicole Dagnes, Elio Piccolo

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Neural Epistemology in Dynamical System Learning.

Pietro Barbiero, Giansalvo Cirrincione, Maurizio Cirrincione, Elio Piccolo, Francesco Vaccarino

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Understanding Cancer Phenomenon at Gene Expression Level by using a Shallow Neural Network Chain.

Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Elio Piccolo, Alberto Tonda

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

DNA Microarray Classification: Evolutionary Optimization of Neural Network Hyper-parameters.

Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Elio Piccolo

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

The GH-EXIN neural network for hierarchical clustering.

Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero

Neural Networks, 2020

Gradient-based Competitive Learning: Theory.

Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo

CoRR, 2020

Topological Gradient-based Competitive Learning.

Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione

CoRR, 2020

Neural Recurrent Approches to Noninvasive Blood Pressure Estimation.

Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero

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.

Jacopo Ferretti, Pietro Barbiero, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Shallow Neural Network for Biometrics from the ECG-WATCH.

Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero

Proceedings of the Intelligent Computing Theories and Application, 2020

Double Channel Neural Non Invasive Blood Pressure Prediction.

Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero

Proceedings of the Intelligent Computing Theories and Application, 2020

Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models.

Marta Lovino, Gianpaolo Bontempo, Giansalvo Cirrincione, Elisa Ficarra

Proceedings of the Intelligent Computing Theories and Application, 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

Proceedings of the Intelligent Computing Theories and Application, 2020

2019

Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition.

Giansalvo Cirrincione, Federica Marcolin, S. Spada, Enrico Vezzetti

Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

Supervised Gene Identification in Colorectal Cancer.

Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Eros Pasero, Elio Piccolo

Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

Unsupervised Gene Identification in Colorectal Cancer.

Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Eros Pasero, Elio Piccolo

Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

2018

Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data.

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero

Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

The Growing Curvilinear Component Analysis (GCCA) neural network.

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero

Neural Networks, 2018

Non-linear Autoregressive Neural Networks to Forecast Short-Term Solar Radiation for Photovoltaic Energy Predictions.

Alessandro Aliberti, Lorenzo Bottaccioli, Giansalvo Cirrincione, Enrico Macii, Andrea Acquaviva, Edoardo Patti

Proceedings of the Smart Cities, Green Technologies and Intelligent Transport Systems, 2018

Forecasting Short-term Solar Radiation for Photovoltaic Energy Predictions.

Alessandro Aliberti, Lorenzo Bottaccioli, Giansalvo Cirrincione, Enrico Macii, Andrea Acquaviva, Edoardo Patti

Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems, 2018

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

Vincenzo Randazzo, Giansalvo Cirrincione, Gabriele Ciravegna, Eros Pasero

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting.

Vincenzo Randazzo, Giansalvo Cirrincione, Annunziata Paviglianiti, Eros Pasero, Francesco Carlo Morabito

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition.

Francesca Nonis, Pietro Barbiero, Giansalvo Cirrincione, Elena Carlotta Olivetti, Federica Marcolin, Enrico Vezzetti

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

1-D Convolutional Neural Network for ECG Arrhythmia Classification.

Jacopo Ferretti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Discovering Hierarchical Neural Archetype Sets.

Gabriele Ciravegna, Pietro Barbiero, Giansalvo Cirrincione, Giovanni Squillero, Alberto Tonda

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

2015

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

Giansalvo Cirrincione, Jeanny Hérault, Vincenzo Randazzo

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013

Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks.

Miguel Delgado Prieto, Giansalvo Cirrincione, Antonio Garcia Espinosa, Juan Antonio Ortega Redondo, Humberto Henao

IEEE Trans. Ind. Electron., 2013

Parameter identification of a Double-Layer-Capacitor 2-branch model by a least-squares method.

Marcello Pucci, Gianpaolo Vitale, Giansalvo Cirrincione, Maurizio Cirrincione

Proceedings of the IECON 2013, 2013

2012

Bearing fault diagnosis by EXIN CCA.

Giansalvo Cirrincione, Humberto Henao, M. Delgado, Juan Antonio Ortega Redondo

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Accurate bearing faults classification based on statistical-time features, curvilinear component analysis and neural networks.

Miguel Delgado, Giansalvo Cirrincione, Antoni García, Juan Antonio Ortega, Humberto Henao

Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012

2008

A Scroll Compressor With a High-Performance Sensorless Induction Motor Drive for the Air Management of a PEMFC System for Automotive Applications.

Benjamin Blunier, Marcello Pucci, Giansalvo Cirrincione, Maurizio Cirrincione, Abdellatif Miraoui

IEEE Trans. Veh. Technol., 2008

A Neural Inverse Control of a PEM-FC System by the Generalized Mapping Regressor (GMR).

Giuseppe Marsala, D. Bouquin, Jay-Tawee Pukrushpan, Marcello Pucci, Giansalvo Cirrincione, Gianpaolo Vitale, Abdellatif Miraoui

Proceedings of the Industry Applications Society Annual Meeting, 2008

2007

Sensorless Control of Induction Motors by Reduced Order Observer With MCA EXIN + Based Adaptive Speed Estimation.

Maurizio Cirrincione, Marcello Pucci, Giansalvo Cirrincione, Gérard-André Capolino

IEEE Trans. Ind. Electron., 2007

Sensorless Control of Induction Machines by a New Neural Algorithm: The TLS EXIN Neuron.

Maurizio Cirrincione, Marcello Pucci, Giansalvo Cirrincione, Gérard-André Capolino

IEEE Trans. Ind. Electron., 2007

Neural Networks for Matching in Computer Vision.

Giansalvo Cirrincione, Maurizio Cirrincione

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

A Scroll Compressor with a High Performance Induction Motor Drive for the Air Management of a PEMFC System for Automotive Applications.

Benjamin Blunier, Marcello Pucci, Giansalvo Cirrincione, Abdellatif Miraoui

Proceedings of the Conference Record of the 2007 IEEE Industry Applications Conference Forty-Second IAS Annual Meeting, 2007

2005

Constrained minimization for parameter estimation of induction motors in saturated and unsaturated conditions.

Maurizio Cirrincione, Marcello Pucci, Giansalvo Cirrincione, Gérard-André Capolino

IEEE Trans. Ind. Electron., 2005

2003

A Novel Self-Organizing Neural Network for Motion Segmentation.

Giansalvo Cirrincione, Maurizio Cirrincione

Appl. Intell., 2003

A novel neural approach to inverse problems with discontinuities (the GMR neural network).

Giansalvo Cirrincione, Chuan Lu, Maurizio Cirrincione, Sabine Van Huffel

Proceedings of the International Joint Conference on Neural Networks, 2003

Direct torque control of induction motors by use of the GMR neural network.

Giansalvo Cirrincione, Maurizio Cirrincione, Chuan Lu, Marcello Pucci

Proceedings of the International Joint Conference on Neural Networks, 2003

2002

The MCA EXIN neuron for the minor component analysis.

Giansalvo Cirrincione, Maurizio Cirrincione, Jeanny Hérault, Sabine Van Huffel

IEEE Trans. Neural Networks, 2002

2001

The Neural Solids; For optimization problems.

Giansalvo Cirrincione, Maurizio Cirrincione

Neural Process. Lett., 2001

2000

The GeTLS EXIN Neuron for Linear Regression.

Giansalvo Cirrincione, Sabine Van Huffel, Maurizio Cirrincione

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Against the convergence of the minor component analysis neurons.

Anisse Taleb, Giansalvo Cirrincione

IEEE Trans. Neural Networks, 1999

Linear system identification using the TLS EXIN neuron.

Giansalvo Cirrincione, Maurizio Cirrincione

Neurocomputing, 1999

Robust Neural Approach for the Estimation of the Essential Parameters in Computer Vision.

Giansalvo Cirrincione, Maurizio Cirrincione

Int. J. Artif. Intell. Tools, 1999