Giansalvo Cirrincione

Orcid: 0000-0002-2894-4164

According to our database1, Giansalvo Cirrincione authored at least 58 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Gradient-Based Competitive Learning: Theory.
Cogn. Comput., March, 2024

Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing.
Integr. Comput. Aided Eng., 2024

2023
Transformer-Based Approach to Melanoma Detection.
Sensors, 2023

Compact Convolutional Transformer Fourier analysis for GPR tunnels assessment.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

2022
A survey on data integration for multi-omics sample clustering.
Neurocomputing, 2022

A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction.
Cogn. Comput., 2022

Deep Learning Algorithms for Automatic COVID-19 Detection on Chest X-Ray Images.
IEEE Access, 2022

Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects' Automated Classification.
Proceedings of the Engineering Applications of Neural Networks, 2022

2021
Vision Transformers for femur fracture classification.
CoRR, 2021

Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis.
IEEE Access, 2021

Topological Gradient-based Competitive Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Neural Epistemology in Dynamical System Learning.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Understanding Cancer Phenomenon at Gene Expression Level by using a Shallow Neural Network Chain.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

DNA Microarray Classification: Evolutionary Optimization of Neural Network Hyper-parameters.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

The GH-EXIN neural network for hierarchical clustering.
Neural Networks, 2020

Gradient-based Competitive Learning: Theory.
CoRR, 2020

Topological Gradient-based Competitive Learning.
CoRR, 2020

Neural Recurrent Approches to Noninvasive Blood Pressure Estimation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Shallow Neural Network for Biometrics from the ECG-WATCH.
Proceedings of the Intelligent Computing Theories and Application, 2020

Double Channel Neural Non Invasive Blood Pressure Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2020

Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models.
Proceedings of the Intelligent Computing Theories and Application, 2020

Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network.
Proceedings of the Intelligent Computing Theories and Application, 2020

2019
Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

Supervised Gene Identification in Colorectal Cancer.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

Unsupervised Gene Identification in Colorectal Cancer.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

2018
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

The Growing Curvilinear Component Analysis (GCCA) neural network.
Neural Networks, 2018

Non-linear Autoregressive Neural Networks to Forecast Short-Term Solar Radiation for Photovoltaic Energy Predictions.
Proceedings of the Smart Cities, Green Technologies and Intelligent Transport Systems, 2018

Forecasting Short-term Solar Radiation for Photovoltaic Energy Predictions.
Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems, 2018

Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

1-D Convolutional Neural Network for ECG Arrhythmia Classification.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Discovering Hierarchical Neural Archetype Sets.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

2015
The on-line curvilinear component analysis (onCCA) for real-time data reduction.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013
Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks.
IEEE Trans. Ind. Electron., 2013

Parameter identification of a Double-Layer-Capacitor 2-branch model by a least-squares method.
Proceedings of the IECON 2013, 2013

2012
Bearing fault diagnosis by EXIN CCA.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Accurate bearing faults classification based on statistical-time features, curvilinear component analysis and neural networks.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012

2008
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., 2008

A Neural Inverse Control of a PEM-FC System by the Generalized Mapping Regressor (GMR).
Proceedings of the Industry Applications Society Annual Meeting, 2008

2007
Sensorless Control of Induction Motors by Reduced Order Observer With MCA EXIN + Based Adaptive Speed Estimation.
IEEE Trans. Ind. Electron., 2007

Sensorless Control of Induction Machines by a New Neural Algorithm: The TLS EXIN Neuron.
IEEE Trans. Ind. Electron., 2007

Neural Networks for Matching in Computer Vision.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

A Scroll Compressor with a High Performance Induction Motor Drive for the Air Management of a PEMFC System for Automotive Applications.
Proceedings of the Conference Record of the 2007 IEEE Industry Applications Conference Forty-Second IAS Annual Meeting, 2007

2005
Constrained minimization for parameter estimation of induction motors in saturated and unsaturated conditions.
IEEE Trans. Ind. Electron., 2005

2003
A Novel Self-Organizing Neural Network for Motion Segmentation.
Appl. Intell., 2003

2002
The MCA EXIN neuron for the minor component analysis.
IEEE Trans. Neural Networks, 2002

2001
The Neural Solids; For optimization problems.
Neural Process. Lett., 2001

2000
The GeTLS EXIN Neuron for Linear Regression.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Against the convergence of the minor component analysis neurons.
IEEE Trans. Neural Networks, 1999

Linear system identification using the TLS EXIN neuron.
Neurocomputing, 1999

Robust Neural Approach for the Estimation of the Essential Parameters in Computer Vision.
Int. J. Artif. Intell. Tools, 1999


  Loading...