Giansalvo Cirrincione

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Double Channel Neural Non Invasive Blood Pressure Prediction

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

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

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

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 .

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

Giansalvo Cirrincione, Vicky Rouss, Willy Charon, 2009 .

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).

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 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.

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

Giansalvo Cirrincione, Maurizio Cirrincione, Vincenzo Randazzo, 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.

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.

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.

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

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

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

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

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

Giansalvo Cirrincione, Jeanny Hérault, V. Randazzo, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

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).

Shallow Versus Deep Neural Networks in Gear Fault Diagnosis

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

Neural Networks for Matching in Computer Vision

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

The MCA EXIN neuron for the minor component analysis

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

Topological Gradient-based Competitive Learning pdf

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

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

Giansalvo Cirrincione, Gérard-André Capolino, Maurizio Cirrincione, 2005, IEEE Transactions on Industrial Electronics.

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

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

Discovering Hierarchical Neural Archetype Sets

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

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

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

The Neural Solids; For optimization problems

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

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..

Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study

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

The GH-EXIN neural network for hierarchical clustering

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

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

Giansalvo Cirrincione, Abdellatif Miraoui, Maurizio Cirrincione, 2008, IEEE Transactions on Vehicular Technology.

1-D Convolutional Neural Network for ECG Arrhythmia Classification

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

Forecasting Short-term Solar Radiation for Photovoltaic Energy Predictions

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

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

Giansalvo Cirrincione, Maurizio Cirrincione, Gerard-Andre Capolino, 2002 .

Linear system identification using the TLS EXIN neuron

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

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

Giansalvo Cirrincione, Maurizio Cirrincione, Marcello Pucci, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

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.

Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting

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

Neural-Based Orthogonal Data Fitting: The EXIN Neural Networks

Giansalvo Cirrincione, Maurizio Cirrincione, 2010 .

Unsupervised Gene Identification in Colorectal Cancer

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

MCA EXIN Neuron

Giansalvo Cirrincione, Maurizio Cirrincione, 2011 .

Gradient-based Competitive Learning: Theory pdf

Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, 2020, ArXiv.

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

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

Bearing fault diagnosis by EXIN CCA

Giansalvo Cirrincione, Humberto Henao, Juan Antonio Ortega Redondo, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Shallow Neural Network for Biometrics from the ECG-WATCH

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

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

Giansalvo Cirrincione, Maurizio Cirrincione, 1999, Int. J. Artif. Intell. Tools.

Against the convergence of the minor component analysis neurons

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

Generating Neural Archetypes to Instruct Fast and Interpretable Decisions

Giansalvo Cirrincione, Giovanni Squillero, Pietro Barbiero, 2019 .

Sensorless Control of Synchronous Reluctance Motor Drives Based on the TLS EXIN Neuron

Giansalvo Cirrincione, Maurizio Cirrincione, Salah Laghrouche, 2019, 2019 IEEE International Electric Machines & Drives Conference (IEMDC).

Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition

Giansalvo Cirrincione, Federica Marcolin, Enrico Vezzetti, 2019, Quantifying and Processing Biomedical and Behavioral Signals.

Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis

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

Dedicated hierarchy of neural networks applied to bearings degradation assessment

Giansalvo Cirrincione, Humberto Henao, Miguel Delgado, 2013, 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED).

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.

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

Giansalvo Cirrincione, Eros Gian Alessandro Pasero, Vincenzo Randazzo, 2018, Multidisciplinary Approaches to Neural Computing.

A New Unsupervised Neural Approach to Stationary and Non-stationary Data

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero, 2021 .

A Novel Self-organizing Neural Technique for Wind Speed Mapping

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

Application of higher order spectral analysis for rotor broken bar detection in induction machines

Giansalvo Cirrincione, Humberto Henao, Farhat Fnaiech, 2011, 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives.

A Novel Self-Organizing Neural Network for Motion Segmentation

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

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

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

On-line wind speed estimation in IM wind generation systems by using adaptive direct and inverse modelling of the wind turbine

Giansalvo Cirrincione, Maurizio Cirrincione, Marcello Pucci, 2016, 2016 IEEE Energy Conversion Congress and Exposition (ECCE).

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.

Sensorless induction machine drive for fly-wheel generation unit based on a TLS-based non-linear observer

Giansalvo Cirrincione, Maurizio Cirrincione, Marcello Pucci, 2016, 2016 IEEE Symposium on Sensorless Control for Electrical Drives (SLED).

Sensorless Control of Induction Motor Drives by New Linear Neural Techniques

Giansalvo Cirrincione, Maurizio Cirrincione, Gerard-Andre Capolino, 2006, 2006 12th International Power Electronics and Motion Control Conference.

Neural Recurrent Approches to Noninvasive Blood Pressure Estimation

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

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

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

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.

Adaptive and Learning Systems for Signal Processing, Communication, and Control

Giansalvo Cirrincione, Maurizio Cirrincione, 2010 .

The Growing Curvilinear Component Analysis (GCCA) neural network

Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero, 2018, Neural Networks.

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.

TLS AND CONSTRAINED TLS NEURAL NETWORKS FOR COMPUTER VISION

Giansalvo Cirrincione, 2002 .

Neural Epistemology in Dynamical System Learning

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

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

Giansalvo Cirrincione, Maurizio Cellura, Antonino Marvuglia, 2008 .

Vision Transformers for femur fracture classification pdf

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

Constrained least‐squares method for the estimation of the electrical parameters of an induction motor

Giansalvo Cirrincione, Maurizio Cirrincione, Gerard-Andre Capolino, 2003 .

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).

Novel Geometrical Model of Scroll Compressors for the Analytical Description of the Chamber Volumes

Giansalvo Cirrincione, Abdellatif Miraoui, Benjamin Blunier, 2006 .