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ORCIDGiansalvo Cirrincione
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2020 – today
- 2024
[j22]Shahil Kumar
, Krish K. Raj, Maurizio Cirrincione, Giansalvo Cirrincione, Rahul R. Kumar:
Gear Degradation Study Using Statistical Time Features and Shallow Neural Networks. IEEE Access 12: 111411-111421 (2024)- [j21]Meshach Kumar, Utkal Mehta, Giansalvo Cirrincione:
Enhancing neural network classification using fractional-order activation functions. AI Open 5: 10-22 (2024) - [j20]Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero:
Gradient-Based Competitive Learning: Theory. Cogn. Comput. 16(2): 608-623 (2024) - [j19]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): 213-232 (2024) - 2023
- [j18]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): 5677 (2023) - [c24]Jonathan Melchiorre, Marco Martino Rosso, Giansalvo Cirrincione, Giuseppe Carlo Marano:
Compact Convolutional Transformer Fourier analysis for GPR tunnels assessment. ICCAD 2023: 1-6 - 2022
- [j17]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: 119905-119913 (2022) - [j16]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): 1689-1710 (2022) - [j15]Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione:
A survey on data integration for multi-omics sample clustering. Neurocomputing 488: 494-508 (2022) - [c23]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: 165-176 - 2021
- [j14]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: 2201-2212 (2021) - [c22]Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione:
Topological Gradient-based Competitive Learning. IJCNN 2021: 1-8 - [i3]Leonardo Tanzi, Andrea Audisio, Giansalvo Cirrincione, Alessandro Aprato, Enrico Vezzetti:
Vision Transformers for femur fracture classification. CoRR abs/2108.03414 (2021) - 2020
- [j13]Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero:
The GH-EXIN neural network for hierarchical clustering. Neural Networks 121: 57-73 (2020) - [c21]Marta Lovino, Gianpaolo Bontempo, Giansalvo Cirrincione, Elisa Ficarra:
Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models. ICIC (2) 2020: 32-42 - [c20]Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
Double Channel Neural Non Invasive Blood Pressure Prediction. ICIC (1) 2020: 160-171 - [c19]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: 172-182 - [c18]Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
Shallow Neural Network for Biometrics from the ECG-WATCH. ICIC (1) 2020: 259-269 - [c17]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: 1-7 - [c16]Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
Neural Recurrent Approches to Noninvasive Blood Pressure Estimation. IJCNN 2020: 1-7 - [p11]Giansalvo Cirrincione, Federica Marcolin, S. Spada, Enrico Vezzetti:
Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 153-164 - [p10]Pietro Barbiero, Giansalvo Cirrincione, Maurizio Cirrincione, Elio Piccolo, Francesco Vaccarino:
Neural Epistemology in Dynamical System Learning. Neural Approaches to Dynamics of Signal Exchanges 2020: 213-221 - [p9]Gabriele Ciravegna, Giansalvo Cirrincione, Federica Marcolin, Pietro Barbiero, Nicole Dagnes, Elio Piccolo:
Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network. Neural Approaches to Dynamics of Signal Exchanges 2020: 223-233 - [p8]Giansalvo Cirrincione, Vincenzo Randazzo, Rahul R. Kumar, Maurizio Cirrincione, Eros Pasero:
Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines. Neural Approaches to Dynamics of Signal Exchanges 2020: 235-244 - [p7]Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero:
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals. Neural Approaches to Dynamics of Signal Exchanges 2020: 247-256 - [p6]Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Elio Piccolo, Alberto Tonda:
Understanding Cancer Phenomenon at Gene Expression Level by using a Shallow Neural Network Chain. Neural Approaches to Dynamics of Signal Exchanges 2020: 281-290 - [p5]Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Elio Piccolo:
DNA Microarray Classification: Evolutionary Optimization of Neural Network Hyper-parameters. Neural Approaches to Dynamics of Signal Exchanges 2020: 305-311 - [i2]Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione:
Topological Gradient-based Competitive Learning. CoRR abs/2008.09477 (2020) - [i1]Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo:
Gradient-based Competitive Learning: Theory. CoRR abs/2009.02799 (2020)
2010 – 2019
- 2019
- [p4]Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Eros Pasero, Elio Piccolo:
Unsupervised Gene Identification in Colorectal Cancer. Quantifying and Processing Biomedical and Behavioral Signals 2019: 219-227 - [p3]Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Eros Pasero, Elio Piccolo:
Supervised Gene Identification in Colorectal Cancer. Quantifying and Processing Biomedical and Behavioral Signals 2019: 243-251 - [p2]Giansalvo Cirrincione, Federica Marcolin, S. Spada, Enrico Vezzetti:
Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition. Quantifying and Processing Biomedical and Behavioral Signals 2019: 253-264 - 2018
- [j12]Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero:
The Growing Curvilinear Component Analysis (GCCA) neural network. Neural Networks 103: 108-117 (2018) - [c15]Vincenzo Randazzo, Giansalvo Cirrincione, Gabriele Ciravegna, Eros Pasero:
Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network. IJCNN 2018: 1-6 - [c14]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: 3-22 - [c13]Alessandro Aliberti, Lorenzo Bottaccioli, Giansalvo Cirrincione, Enrico Macii, Andrea Acquaviva, Edoardo Patti:
Forecasting Short-term Solar Radiation for Photovoltaic Energy Predictions. SMARTGREENS 2018: 44-53 - [p1]Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero:
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data. Multidisciplinary Approaches to Neural Computing 2018: 151-160 - 2017
- [c12]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: 243-253 - [c11]Gabriele Ciravegna, Pietro Barbiero, Giansalvo Cirrincione, Giovanni Squillero, Alberto Tonda:
Discovering Hierarchical Neural Archetype Sets. IIH-MSP (1) 2017: 255-267 - [c10]Jacopo Ferretti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
1-D Convolutional Neural Network for ECG Arrhythmia Classification. IIH-MSP (1) 2017: 269-279 - [c9]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: 281-290 - 2015
- [c8]Giansalvo Cirrincione, Jeanny Hérault, Vincenzo Randazzo:
The on-line curvilinear component analysis (onCCA) for real-time data reduction. IJCNN 2015: 1-8 - 2013
- [j11]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): 3398-3407 (2013) - [c7]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: 6770-6776 - 2012
- [c6]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: 3854-3861 - [c5]Giansalvo Cirrincione, Humberto Henao, M. Delgado, Juan Antonio Ortega Redondo:
Bearing fault diagnosis by EXIN CCA. IJCNN 2012: 1-7
2000 – 2009
- 2008
- [j10]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): 3413-3427 (2008) - [c4]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: 1-12 - 2007
- [j9]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): 127-149 (2007) - [j8]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): 150-166 (2007) - [c3]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: 969-976 - [c2]Giansalvo Cirrincione, Maurizio Cirrincione:
Neural Networks for Matching in Computer Vision. KES (1) 2007: 688-695 - 2005
- [j7]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): 1391-1402 (2005) - 2003
- [j6]Giansalvo Cirrincione, Maurizio Cirrincione:
A Novel Self-Organizing Neural Network for Motion Segmentation. Appl. Intell. 18(1): 27-35 (2003) - 2002
- [j5]Giansalvo Cirrincione, Maurizio Cirrincione, Jeanny Hérault, Sabine Van Huffel:
The MCA EXIN neuron for the minor component analysis. IEEE Trans. Neural Networks 13(1): 160-187 (2002) - 2001
- [j4]Giansalvo Cirrincione, Maurizio Cirrincione:
The Neural Solids; For optimization problems. Neural Process. Lett. 13(1): 1-15 (2001) - 2000
- [c1]Giansalvo Cirrincione, Sabine Van Huffel, Maurizio Cirrincione:
The GeTLS EXIN Neuron for Linear Regression. IJCNN (6) 2000: 285-289
1990 – 1999
- 1999
- [j3]Giansalvo Cirrincione, Maurizio Cirrincione:
Robust Neural Approach for the Estimation of the Essential Parameters in Computer Vision. Int. J. Artif. Intell. Tools 8(3): 255-274 (1999) - [j2]Giansalvo Cirrincione, Maurizio Cirrincione:
Linear system identification using the TLS EXIN neuron. Neurocomputing 28(1-3): 53-74 (1999) - [j1]Anisse Taleb, Giansalvo Cirrincione:
Against the convergence of the minor component analysis neurons. IEEE Trans. Neural Networks 10(1): 207-210 (1999)
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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