Robust Neural Approach for the Estimation of the Essential Parameters in Computer Vision. - Giansalvo Cirrincione; Maurizio Cirrincione (Int. J. Artif. Intell. Tools, 1999)

Linear system identification using the TLS EXIN neuron. - Giansalvo Cirrincione; Maurizio Cirrincione (Neurocomputing, 1999)

Against the convergence of the minor component analysis neurons. - Anisse Taleb; Giansalvo Cirrincione (IEEE Trans. Neural Networks, 1999)

The GeTLS EXIN Neuron for Linear Regression. - Giansalvo Cirrincione; Sabine Van Huffel; Maurizio Cirrincione (IJCNN (6), 2000)

The Neural Solids; For optimization problems. - Giansalvo Cirrincione; Maurizio Cirrincione (Neural Process. Lett., 2001)

The MCA EXIN neuron for the minor component analysis. - Giansalvo Cirrincione; Maurizio Cirrincione; Jeanny Hérault; Sabine Van Huffel (IEEE Trans. Neural Networks, 2002)

Direct torque control of induction motors by use of the GMR neural network. - Giansalvo Cirrincione; Maurizio Cirrincione; Chuan Lu; Marcello Pucci (IJCNN, 2003)

A novel neural approach to inverse problems with discontinuities (the GMR neural network). - Giansalvo Cirrincione; Chuan Lu; Maurizio Cirrincione; Sabine Van Huffel (IJCNN, 2003)

A Novel Self-Organizing Neural Network for Motion Segmentation. - Giansalvo Cirrincione; Maurizio Cirrincione (Appl. Intell., 2003)

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)

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 (IAS, 2007)

Neural Networks for Matching in Computer Vision. - Giansalvo Cirrincione; Maurizio Cirrincione (KES (1), 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)

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)

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 (IAS, 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)

Accurate bearing faults classification based on statistical-time features, curvilinear component analysis and neural networks. - Miguel Delgado 002; Giansalvo Cirrincione; Antoni García; Juan Antonio Ortega 002; Humberto Henao (IECON, 2012)

Bearing fault diagnosis by EXIN CCA. - Giansalvo Cirrincione; Humberto Henao; M. Delgado; Juan Antonio Ortega Redondo (IJCNN, 2012)

Parameter identification of a Double-Layer-Capacitor 2-branch model by a least-squares method. - Marcello Pucci; Gianpaolo Vitale; Giansalvo Cirrincione; Maurizio Cirrincione (IECON, 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)

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

Discovering Hierarchical Neural Archetype Sets. - Gabriele Ciravegna; Pietro Barbiero; Giansalvo Cirrincione; Giovanni Squillero; Alberto Tonda (IIH-MSP (1), 2017)

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

Forecasting Short-term Solar Radiation for Photovoltaic Energy Predictions. - Alessandro Aliberti; Lorenzo Bottaccioli; Giansalvo Cirrincione; Enrico Macii; Andrea Acquaviva; Edoardo Patti (SMARTGREENS, 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 (SMARTGREENS/VEHITS (Selected Papers), 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)

Unsupervised Gene Identification in Colorectal Cancer. - Pietro Barbiero; Andrea Bertotti; Gabriele Ciravegna; Giansalvo Cirrincione; Eros Pasero; Elio Piccolo (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 (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition. - Giansalvo Cirrincione; Federica Marcolin; S. Spada; Enrico Vezzetti (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

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)

Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models. - Marta Lovino; Gianpaolo Bontempo; Giansalvo Cirrincione; Elisa Ficarra (ICIC (2), 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)

DNA Microarray Classification: Evolutionary Optimization of Neural Network Hyper-parameters. - Pietro Barbiero; Andrea Bertotti; Gabriele Ciravegna; Giansalvo Cirrincione; Elio Piccolo (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 (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Neural Epistemology in Dynamical System Learning. - Pietro Barbiero; Giansalvo Cirrincione; Maurizio Cirrincione; Elio Piccolo; Francesco Vaccarino (Neural Approaches to Dynamics of Signal Exchanges, 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 (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 (Neural Advances in Processing Nonlinear Dynamic Signals, 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)

Vision Transformers for femur fracture classification. - Leonardo Tanzi; Andrea Audisio; Giansalvo Cirrincione; Alessandro Aprato; Enrico Vezzetti (CoRR, 2021)

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 (EANN, 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)

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)

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 (CIBB, 2023)

Compact Convolutional Transformer Fourier analysis for GPR tunnels assessment. - Jonathan Melchiorre; Marco Martino Rosso; Giansalvo Cirrincione; Giuseppe Carlo Marano (ICCAD, 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 (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)

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 (WIRN, 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)

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)

An Overview of Artificial Intelligence-Based Techniques for PEMFC System Diagnosis. - Priynka Sharma; Maurizio Cirrincione; Ali Mohammadi 006; Giansalvo Cirrincione; Rahul R. Kumar (IEEE Access, 2024)

Enhancing neural network classification using fractional-order activation functions. - Meshach Kumar; Utkal Mehta; Giansalvo Cirrincione (AI Open, 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)

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 (IAS, 2025)

The geometry of BERT. - Matteo Bonino; Giorgia Ghione; Giansalvo Cirrincione (CoRR, 2025)