Giansalvo Cirrincione

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 30

Top Topics

Component Analysis

Top Venues

Publications

Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero
Gradient-Based Competitive Learning: Theory. Cogn. Comput. 16 (2) (2024)
Marco Martino Rosso, Angelo Aloisio, Vincenzo Randazzo, Leonardo Tanzi, Giansalvo Cirrincione, Giuseppe Carlo Marano
Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing. Integr. Comput. Aided Eng. 31 (2) (2024)
Meshach Kumar, Utkal Mehta, Giansalvo Cirrincione
Enhancing neural network classification using fractional-order activation functions. AI Open 5 (2024)
Jonathan Melchiorre, Marco Martino Rosso, Giansalvo Cirrincione, Giuseppe Carlo Marano
Compact Convolutional Transformer Fourier analysis for GPR tunnels assessment. ICCAD (2023)
Giansalvo Cirrincione, Sergio Cannata, Giovanni Cicceri, Francesco Prinzi, Tiziana Currieri, Marta Lovino, Carmelo Militello, Eros Pasero, Salvatore Vitabile
Transformer-Based Approach to Melanoma Detection. Sensors 23 (12) (2023)
Giulia Marasco, Marco M. Rosso, Salvatore Aiello, Angelo Aloisio, Giansalvo Cirrincione, Bernardino Chiaia, Giuseppe Carlo Marano
Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects' Automated Classification. EANN (2022)
Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione
A survey on data integration for multi-omics sample clustering. Neurocomputing 488 (2022)
Sergio Cannata, Annunziata Paviglianiti, Eros Pasero, Giansalvo Cirrincione, Maurizio Cirrincione
Deep Learning Algorithms for Automatic COVID-19 Detection on Chest X-Ray Images. IEEE Access 10 (2022)
Annunziata Paviglianiti, Vincenzo Randazzo, Stefano Villata, Giansalvo Cirrincione, Eros Pasero
A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction. Cogn. Comput. 14 (5) (2022)
Rahul R. Kumar, Vincenzo Randazzo, Giansalvo Cirrincione, Maurizio Cirrincione, Eros Pasero, Andrea Tortella, Mauro Andriollo
Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis. IEEE Access 9 (2021)
Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione
Topological Gradient-based Competitive Learning. IJCNN (2021)
Leonardo Tanzi, Andrea Audisio, Giansalvo Cirrincione, Alessandro Aprato, Enrico Vezzetti
Vision Transformers for femur fracture classification. CoRR (2021)
Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione
Topological Gradient-based Competitive Learning. CoRR (2020)
Marta Lovino, Gianpaolo Bontempo, Giansalvo Cirrincione, Elisa Ficarra
Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models. ICIC (2) (2020)
Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero
The GH-EXIN neural network for hierarchical clustering. Neural Networks 121 (2020)
Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
Shallow Neural Network for Biometrics from the ECG-WATCH. ICIC (1) (2020)
Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo
Gradient-based Competitive Learning: Theory. CoRR (2020)
Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
Double Channel Neural Non Invasive Blood Pressure Prediction. ICIC (1) (2020)
Pietro Barbiero, Marta Lovino, Mattia Siviero, Gabriele Ciravegna, Vincenzo Randazzo, Elisa Ficarra, Giansalvo Cirrincione
Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network. ICIC (1) (2020)
Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
Neural Recurrent Approches to Noninvasive Blood Pressure Estimation. IJCNN (2020)
Jacopo Ferretti, Pietro Barbiero, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study. IJCNN (2020)
Vincenzo Randazzo, Giansalvo Cirrincione, Gabriele Ciravegna, Eros Pasero
Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network. IJCNN (2018)
Alessandro Aliberti, Lorenzo Bottaccioli, Giansalvo Cirrincione, Enrico Macii, Andrea Acquaviva, Edoardo Patti
Forecasting Short-term Solar Radiation for Photovoltaic Energy Predictions. SMARTGREENS (2018)
Alessandro Aliberti, Lorenzo Bottaccioli, Giansalvo Cirrincione, Enrico Macii, Andrea Acquaviva, Edoardo Patti
Non-linear Autoregressive Neural Networks to Forecast Short-Term Solar Radiation for Photovoltaic Energy Predictions. SMARTGREENS/VEHITS (Selected Papers) (2018)
Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero
The Growing Curvilinear Component Analysis (GCCA) neural network. Neural Networks 103 (2018)
Vincenzo Randazzo, Giansalvo Cirrincione, Annunziata Paviglianiti, Eros Pasero, Francesco Carlo Morabito
Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting. IIH-MSP (1) (2017)
Francesca Nonis, Pietro Barbiero, Giansalvo Cirrincione, Elena Carlotta Olivetti, Federica Marcolin, Enrico Vezzetti
Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition. IIH-MSP (1) (2017)
Jacopo Ferretti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
1-D Convolutional Neural Network for ECG Arrhythmia Classification. IIH-MSP (1) (2017)
Gabriele Ciravegna, Pietro Barbiero, Giansalvo Cirrincione, Giovanni Squillero, Alberto Tonda
Discovering Hierarchical Neural Archetype Sets. IIH-MSP (1) (2017)
Giansalvo Cirrincione, Jeanny Hérault, Vincenzo Randazzo
The on-line curvilinear component analysis (onCCA) for real-time data reduction. IJCNN (2015)
Miguel Delgado Prieto, Giansalvo Cirrincione, Antonio Garcia Espinosa, Juan Antonio Ortega Redondo, Humberto Henao
Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks. IEEE Trans. Ind. Electron. 60 (8) (2013)
Marcello Pucci, Gianpaolo Vitale, Giansalvo Cirrincione, Maurizio Cirrincione
Parameter identification of a Double-Layer-Capacitor 2-branch model by a least-squares method. IECON (2013)
Miguel Delgado, Giansalvo Cirrincione, Antoni García, Juan Antonio Ortega, Humberto Henao
Accurate bearing faults classification based on statistical-time features, curvilinear component analysis and neural networks. IECON (2012)
Giansalvo Cirrincione, Humberto Henao, M. Delgado, Juan Antonio Ortega Redondo
Bearing fault diagnosis by EXIN CCA. IJCNN (2012)
Benjamin Blunier, Marcello Pucci, Giansalvo Cirrincione, Maurizio Cirrincione, Abdellatif Miraoui
A Scroll Compressor With a High-Performance Sensorless Induction Motor Drive for the Air Management of a PEMFC System for Automotive Applications. IEEE Trans. Veh. Technol. 57 (6) (2008)
Giuseppe Marsala, D. Bouquin, Jay-Tawee Pukrushpan, Marcello Pucci, Giansalvo Cirrincione, Gianpaolo Vitale, Abdellatif Miraoui
A Neural Inverse Control of a PEM-FC System by the Generalized Mapping Regressor (GMR). IAS (2008)
Giansalvo Cirrincione, Maurizio Cirrincione
Neural Networks for Matching in Computer Vision. KES (1) (2007)
Benjamin Blunier, Marcello Pucci, Giansalvo Cirrincione, Abdellatif Miraoui
A Scroll Compressor with a High Performance Induction Motor Drive for the Air Management of a PEMFC System for Automotive Applications. IAS (2007)
Maurizio Cirrincione, Marcello Pucci, Giansalvo Cirrincione, Gérard-André Capolino
Sensorless Control of Induction Machines by a New Neural Algorithm: The TLS EXIN Neuron. IEEE Trans. Ind. Electron. 54 (1) (2007)
Maurizio Cirrincione, Marcello Pucci, Giansalvo Cirrincione, Gérard-André Capolino
Sensorless Control of Induction Motors by Reduced Order Observer With MCA EXIN + Based Adaptive Speed Estimation. IEEE Trans. Ind. Electron. 54 (1) (2007)
Maurizio Cirrincione, Marcello Pucci, Giansalvo Cirrincione, Gérard-André Capolino
Constrained minimization for parameter estimation of induction motors in saturated and unsaturated conditions. IEEE Trans. Ind. Electron. 52 (5) (2005)
Giansalvo Cirrincione, Maurizio Cirrincione
A Novel Self-Organizing Neural Network for Motion Segmentation. Appl. Intell. 18 (1) (2003)
Giansalvo Cirrincione, Maurizio Cirrincione, Jeanny Hérault, Sabine Van Huffel
The MCA EXIN neuron for the minor component analysis. IEEE Trans. Neural Networks 13 (1) (2002)
Giansalvo Cirrincione, Maurizio Cirrincione
The Neural Solids; For optimization problems. Neural Process. Lett. 13 (1) (2001)
Giansalvo Cirrincione, Sabine Van Huffel, Maurizio Cirrincione
The GeTLS EXIN Neuron for Linear Regression. IJCNN (6) (2000)
Giansalvo Cirrincione, Maurizio Cirrincione
Linear system identification using the TLS EXIN neuron. Neurocomputing 28 (1-3) (1999)
Giansalvo Cirrincione, Maurizio Cirrincione
Robust Neural Approach for the Estimation of the Essential Parameters in Computer Vision. Int. J. Artif. Intell. Tools 8 (3) (1999)
Anisse Taleb, Giansalvo Cirrincione
Against the convergence of the minor component analysis neurons. IEEE Trans. Neural Networks 10 (1) (1999)