G. Cirrincione

发表

Direct and neural techniques for the data least squares problem

S. Huffel, G. Cirrincione, G. Ganesan, 2000 .

Estimation of wind velocity over a complex terrain using the Generalized Mapping Regressor

G. Cirrincione, M. Beccali, A. Marvuglia, 2010 .

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

S. Van Huffel, G. Cirrincione, Chuang Lu, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Wind speed spatial estimation for energy planning in Sicily: Introduction and statistical analysis

A. Miraoui, G. Cirrincione, M. Cellura, 2008 .

A survey on data integration for multi-omics sample clustering

G. Cirrincione, E. Ficarra, Gabriele Ciravegna, 2021, Neurocomputing.

Speed sensorless control of induction motors based on MCA EXIN Pisarenko method

G. Cirrincione, M. Cirrincione, Binying Ye, 2015, 2015 IEEE Energy Conversion Congress and Exposition (ECCE).

Experimental application of least-squares technique for estimation of double layer super capacitor parameters

Giansalvo Cirrincione, Maurizio Cirrincione, Gianpaolo Vitale, 2017, 2017 20th International Conference on Electrical Machines and Systems (ICEMS).

A novel approach for modeling the internal behavior of a PEMFC by using electrical circuits

Davood Arab Khaburi, Abdesslem Djerdir, G. Cirrincione, 2017 .

The GeTLS EXIN neuron for linear regression

Sabine Van Huffel, Giansalvo Cirrincione, Maurizio Cirrincione, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Iteratively reweighted total least squares algorithms for different variances in observations and data

S. Huffel, G. Cirrincione, A. Premoli, 2001 .

Shallow Neural Network for Biometrics from the ECG-WATCH

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero, 2020, ICIC.

Advanced deep learning comparisons for non-invasive tunnel lining assessment from ground penetrating radar profiles

A. Aloisio, G. Cirrincione, R. Cucuzza, 2022, 8th European Congress on Computational Methods in Applied Sciences and Engineering.

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

G. Cirrincione, M. Cirrincione, E. Pasero, 2022, IEEE Access.

Effect of the Temperature Distribution on the Performance of PEMFC Stacks for Fault Diagnosis

G. Cirrincione, M. Cirrincione, A. Mohammadi, 2018, 2018 21st International Conference on Electrical Machines and Systems (ICEMS).

Fault Diagnosis using Shallow Neural Networks for Voltage Source Inverters in SynRM Drives

P. Zanchetta, G. Cirrincione, M. Cirrincione, 2022, 2022 IEEE Energy Conversion Congress and Exposition (ECCE).

Gradient-based Competitive Learning: Theory pdf

Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, 2020, Cogn. Comput..

Diagnosis of Three-Phase Converters using the VQP Neural Network

Maurizio Cirrincione, G. Vitale, G. Cirrincione, 1994 .

The GH-EXIN neural network for hierarchical clustering

Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, 2020, Neural Networks.

A Neural Non-linear Predictive Control for PEM-FC JES

Maurizio Cirrincione, M. Pucci, G. Cirrincione, 2005 .

The estimation of the induction motor parameters by the GeTLS EXIN neuron

Giansalvo Cirrincione, Maurizio Cirrincione, Marcello Pucci, 2010, 2010 IEEE Energy Conversion Congress and Exposition.

On the Application of TLS Techniques to AC Electrical Drives

Maurizio Cirrincione, Marcello Pucci, G. Cirrincione, 2007 .

A new experimental application of least-squares techniques for the estimation of the induction motor parameters

G.A. Capolino, M. Pucci, G. Cirrincione, 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

Vision Transformers for femur fracture classification pdf

Giansalvo Cirrincione, Enrico Vezzetti, Leonardo Tanzi, 2021, Injury.

Shallow Versus Deep Neural Networks in Gear Fault Diagnosis

Giansalvo Cirrincione, Shahin Hedayati Kia, Rahul Kumar, 2020, IEEE Transactions on Energy Conversion.

Unsupervised Gene Identification in Colorectal Cancer

Giansalvo Cirrincione, Eros Gian Alessandro Pasero, Pietro Barbiero, 2017, Quantifying and Processing Biomedical and Behavioral Signals.

Neural Minor Component Analysis and TLS

Maurizio Cirrincione, G. Cirrincione, G. Cirrincione, 2002 .

The MCA EXIN neuron for the minor component analysis

Sabine Van Huffel, Giansalvo Cirrincione, Maurizio Cirrincione, 2002, IEEE Trans. Neural Networks.

Linear system identification using the TLS EXIN neuron

Giansalvo Cirrincione, Maurizio Cirrincione, G. Cirrincione, 1999, Neurocomputing.

Robust total least squares by the nonlinear MCA EXIN neuron

Maurizio Cirrincione, G. Cirrincione, G. Cirrincione, 1998, Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174).

Sensorless control of induction motors by the MSA based MUSIC technique

Giansalvo Cirrincione, Maurizio Cirrincione, Marcello Pucci, 2015, 2015 IEEE Energy Conversion Congress and Exposition (ECCE).

A new TLS-based MRAS speed estimation with adaptive integration for high-performance induction machine drives

M. Pucci, G.-A. Capolino, G. Cirrincione, 2004, IEEE Transactions on Industry Applications.

A new adaptive integration methodology for estimating flux in induction machine drives

M. Pucci, G.-A. Capolino, G. Cirrincione, 2004, IEEE Transactions on Power Electronics.

A Comprehensive Review of Conventional and Intelligence-Based Approaches for the Fault Diagnosis and Condition Monitoring of Induction Motors

G. Cirrincione, M. Andriollo, A. Tortella, 2022, Energies.

A Topological Neural-Based Scheme for Classification of Faults in Induction Machines

Giansalvo Cirrincione, Maurizio Cirrincione, Mauro Andriollo, 2021, IEEE Transactions on Industry Applications.

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

Giansalvo Cirrincione, Humberto Henao, Miguel Delgado Prieto, 2013, IEEE Transactions on Industrial Electronics.

A novel condition monitoring scheme for bearing faults based on Curvilinear Component Analysis and hierarchical neural networks

A. Garcia, H. Henao, G. Cirrincione, 2012, 2012 XXth International Conference on Electrical Machines.

Induction Machine Fault Detection and Classification Using Non-Parametric, Statistical-Frequency Features and Shallow Neural Networks

Giansalvo Cirrincione, Maurizio Cirrincione, Mauro Andriollo, 2021, IEEE Transactions on Energy Conversion.

Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis

Giansalvo Cirrincione, Maurizio Cirrincione, Mauro Andriollo, 2021, IEEE Access.

Diagnosis of broken-bars fault in induction machines using higher order spectral analysis.

L Saidi, F Fnaiech, H Henao, 2013, ISA transactions.

Against the convergence of the minor component analysis neurons

Giansalvo Cirrincione, Anisse Taleb, A. Taleb, 1999, IEEE Trans. Neural Networks.

A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction

G. Cirrincione, E. Pasero, V. Randazzo, 2021, Cognitive Computation.

Neural Recurrent Approches to Noninvasive Blood Pressure Estimation

Giansalvo Cirrincione, Annunziata Paviglianiti, Eros Pasero, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Double Channel Neural Non Invasive Blood Pressure Prediction

Giansalvo Cirrincione, Annunziata Paviglianiti, Vincenzo Randazzo, 2020, ICIC.

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

Giansalvo Cirrincione, Pietro Barbiero, Andrea Bertotti, 2020, Neural Approaches to Dynamics of Signal Exchanges.

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

Giansalvo Cirrincione, Pietro Barbiero, Andrea Bertotti, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Supervised Gene Identification in Colorectal Cancer

Giansalvo Cirrincione, Pietro Barbiero, Eros Pasero, 2018, Quantifying and Processing Biomedical and Behavioral Signals.

Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing

G. Cirrincione, G. Marano, V. Randazzo, 2023, Integr. Comput. Aided Eng..

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

G. Cirrincione, G. Marano, A. Aloisio, 2022, EANN.

Mapping Approximation by the GMR Neural Network

Sabine Van Huffel, Maurizio Cirrincione, G. Cirrincione, 2000 .

Feasibility Study and Design of a Flywheel Energy System in a Microgrid for Small Village in Pacific Island State Countries

Giansalvo Cirrincione, Maurizio Cirrincione, Marcello Pucci, 2017 .

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

Giansalvo Cirrincione, Francesca Nonis, Federica Marcolin, 2017, IIH-MSP.

A new analytical and dynamical model of a scroll compressor with experimental validation

Benjamin Blunier, Abdellatif Miraoui, Y. Hervé, 2009 .

1-D Convolutional Neural Network for ECG Arrhythmia Classification

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero, 2017, IIH-MSP.

Neural Networks for Matching in Computer Vision

Giansalvo Cirrincione, Maurizio Cirrincione, G. Cirrincione, 2007, KES.

Forecasting Short-term Solar Radiation for Photovoltaic Energy Predictions

Giansalvo Cirrincione, Enrico Macii, Andrea Acquaviva, 2018, SMARTGREENS.

Topological Gradient-based Competitive Learning pdf

Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network

Giansalvo Cirrincione, Elisa Ficarra, Vincenzo Randazzo, 2020, ICIC.

Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition

Giansalvo Cirrincione, Federica Marcolin, Enrico Vezzetti, 2017, Neural Advances in Processing Nonlinear Dynamic Signals.

A Novel Self-Organizing Neural Network for Motion Segmentation

Giansalvo Cirrincione, Maurizio Cirrincione, G. Cirrincione, 2004, Applied Intelligence.

Compact Convolutional Transformer Fourier analysis for GPR tunnels assessment

G. Cirrincione, G. Marano, M. Rosso, 2023, 2023 International Conference on Control, Automation and Diagnosis (ICCAD).

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

Giansalvo Cirrincione, Gérard-André Capolino, Maurizio Cirrincione, 2007, IEEE Transactions on Industrial Electronics.

Generative adversarial networks review in earthquake-related engineering fields

G. Cirrincione, G. Marano, A. Aloisio, 2023, Bulletin of Earthquake Engineering.

Wind speed spatial estimation for energy planning in Sicily: A neural kriging application

Giansalvo Cirrincione, Maurizio Cellura, Antonino Marvuglia, 2008 .

A Topological and Neural Based Technique for Classification of Faults in Induction Machines

M. Andriollo, A. Tortella, M. Cirrincione, 2018, 2018 21st International Conference on Electrical Machines and Systems (ICEMS).

Linear Neural Networks applied to Power Converters and AC Electrical Drives

Maurizio Cirrincione, Gianpaolo Vitale, Marcello Pucci, 2013 .

A neural approach for the fault diagnostics in induction machines

G. A. Capolino, G. Cirrincione, C. Demian, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

The Neural Solids; For optimization problems

Giansalvo Cirrincione, Maurizio Cirrincione, G. Cirrincione, 2001, Neural Processing Letters.

Detection of Stator Fault in Synchronous Reluctance Machines Using Shallow Neural Networks

G. Cirrincione, M. Cirrincione, Rahul R. Kumar, 2021, 2021 IEEE Energy Conversion Congress and Exposition (ECCE).

Power Switch Open-Circuit Fault-Diagnosis Based on a Shallow Long-Short Term Memory Neural Network: Investigation of an Interleaved Buck Converter for Electrolyzer applications

G. Cirrincione, M. Cirrincione, D. Guilbert, 2021, 2021 IEEE Energy Conversion Congress and Exposition (ECCE).

Generating Neural Archetypes to Instruct Fast and Interpretable Decisions

Giansalvo Cirrincione, Giovanni Squillero, Pietro Barbiero, 2019 .

Discovering Hierarchical Neural Archetype Sets

Giansalvo Cirrincione, Giovanni Squillero, Pietro Barbiero, 2017, IIH-MSP.

Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network

G. Cirrincione, E. Pasero, V. Randazzo, 2023, ITISE 2023.

Deep CNN for 3D Face Recognition

G. Cirrincione, S. Tornincasa, F. Marcolin, 2019, Lecture Notes in Mechanical Engineering.

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

Giansalvo Cirrincione, Federica Marcolin, Pietro Barbiero, 2020, Neural Approaches to Dynamics of Signal Exchanges.

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

Giansalvo Cirrincione, Abdellatif Miraoui, Gianpaolo Vitale, 2008, 2008 IEEE Industry Applications Society Annual Meeting.

Induction Machine Fault Diagnosis Using Stator Current Subspace Spectral Estimation

M. Andriollo, A. Tortella, M. Cirrincione, 2018, 2018 21st International Conference on Electrical Machines and Systems (ICEMS).

VHDL implementation of a neural diagnosis system: application to induction machine fault detection

G. Cirrincione, R. Grisel, T. Dumartin, 2004, 2004 IEEE International Symposium on Industrial Electronics.

Constrained Least-Squares Parameter Estimation for a Double Layer Capacitor

G. Cirrincione, A. Mohammadi, Maurizio Cirrincione, 2023, Energies.

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

Giansalvo Cirrincione, Elisa Ficarra, Marta Lovino, 2020, ICIC.

Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting

Giansalvo Cirrincione, Francesco Carlo Morabito, Annunziata Paviglianiti, 2017, IIH-MSP.

A Novel Self-organizing Neural Technique for Wind Speed Mapping

Giansalvo Cirrincione, Antonino Marvuglia, G. Cirrincione, 2009 .

Neural model of the dynamic behaviour of a non-linear mechanical system

Giansalvo Cirrincione, Vicky Rouss, Willy Charon, 2009 .

Indoor Air-Temperature Forecast for Energy-Efficient Management in Smart Buildings

Giansalvo Cirrincione, Enrico Macii, Andrea Acquaviva, 2018, 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

Transformer-Based Approach to Melanoma Detection

S. Vitabile, C. Militello, G. Cirrincione, 2023, Sensors.

A Neural Based Comparative Analysis for Feature Extraction from ECG Signals

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Neural Epistemology in Dynamical System Learning

Giansalvo Cirrincione, Maurizio Cirrincione, Francesco Vaccarino, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Subspace features and statistical indicators for neural network-based damage detection

G. Cirrincione, G. Marano, A. Aloisio, 2023, Structures.

A new TLS based MRAS speed estimation with adaptive integration for high performance induction machine drives

Giansalvo Cirrincione, Maurizio Cirrincione, Gerard-Andre Capolino, 2003, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003..

Fault Detection in Cascaded H-Bridge Inverters using Spectrogram Analysis and Convolutional Neural Networks

G. Cirrincione, Maurizio Cirrincione, G. Tresca, 2023, 2023 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2023 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM).