Fabio La Foresta

Orcid: 0000-0002-8290-5019

According to our database1, Fabio La Foresta authored at least 46 papers between 2002 and 2022.

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

Timeline

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Bibliography

2022
Innovative Soft Computing Techniques for the Evaluation of the Mechanical Stress State of Steel Plates.
AII, 2022

2021
Graph Theory Applied to Brain Network Analysis in Alzheimer's Disease.
Proceedings of the Intelligent Distributed Computing XIV, 2021

2020
Estimating the Asymmetry of Brain Network Organization in Stroke Patients from High-Density EEG Signals.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Effect of Sensor Density on eLORETA Source Localization Accuracy.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Advanced Computational Intelligence Techniques to Detect and Reconstruct Damages in Reinforced Concrete for Industrial Applications.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

A Modified Heart Dipole Model for the Generation of Pathological ECG Signals.
Comput., 2020

2019
Evolution Characterization of Alzheimer's Disease Using eLORETA's Three-Dimensional Distribution of the Current Density and Small-World Network.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

2018
Investigating the Brain Connectivity Evolution in AD and MCI Patients Through the EEG Signals' Wavelet Coherence.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

2017
A Radial Basis Neural Network Based Agent Module Exploiting ECG Signals to Prevent Heart Diseases.
Proceedings of the 18th Workshop "From Objects to Agents", 2017

Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patients.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

eLORETA Active Source Reconstruction Applied to HD-EEG in Alzheimer's Disease.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

2016
Quantifying the Complexity of Epileptic EEG.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
On the Use of Empirical Mode Decomposition (EMD) for Alzheimer's Disease Diagnosis.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Effects of Artifacts Rejection on EEG Complexity in Alzheimer's Disease.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Learning Vector Quantization and Permutation Entropy to analyse epileptic electroencephalography.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013
EEG Complexity Modifications and Altered Compressibility in Mild Cognitive Impairment and Alzheimer's Disease.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

SVM classification of epileptic EEG recordings through multiscale permutation entropy.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
A New Fuzzy Geometrical Approach to Classify Defects in Composite Materials.
Int. J. Meas. Technol. Instrum. Eng., 2012

Multivariate Multi-Scale Permutation Entropy for Complexity Analysis of Alzheimer's Disease EEG.
Entropy, 2012

Measures of Brain Connectivity through Permutation Entropy in Epileptic Disorders.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

2011
Clustering of entropy topography in epileptic electroencephalography.
Neural Comput. Appl., 2011

Multiscale Entropy Analysis of Artifactual EEG Recordings.
Proceedings of the Neural Nets WIRN11, 2011

2010
Discovering Network Phenomena in the Epileptic Electroencephalography through Permutation Entropy Mapping.
Proceedings of the Neural Nets WIRN10, 2010

Remarks about Wavelet Analysis in the EEG Artifacts Detection.
Proceedings of the Neural Nets WIRN10, 2010

2009
PCA-ICA for automatic identification of critical events in continuous coma-EEG monitoring.
Biomed. Signal Process. Control., 2009

Algorithms and topographic mapping for epileptic seizures recognition and prediction.
Proceedings of the Neural Nets WIRN09, 2009

Dynamic Modeling of Heart Dipole Vector for the ECG and VCG Generation.
Proceedings of the Neural Nets WIRN09, 2009

Entropy spatial clustering in epileptic EEG.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
STLmax joint Mutual Information for quantifying independence in the epileptic brain.
Proceedings of the New Directions in Neural Networks, 2008

Multiresolution Minimization of Renyi's Mutual Information for fetal-ECG Extraction.
Proceedings of the New Directions in Neural Networks, 2008

Neural Networks for the Parameters Characterization of ECG Dynamical Model.
Proceedings of the New Directions in Neural Networks, 2008

Mutual information for measuring independence of STLmax time series in the epileptic brain.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Multiresolution ICA for Artifact Identification from Electroencephalographic Recordings.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Information Theoretic Learning for Inverse Problem Resolution in Bio-electromagnetism.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

A Kernel Based Learning by Sample Technique for Defect Identification Through the Inversion of a Typical Electric Problem.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Automatic Detection of Critical Epochs in coma-EEG Using Independent Component Analysis and Higher Order Statistics.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Analysis of the Automatic Detection of Critical Epochs from coma-EEG by Dominant Components and Features Extraction.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Artifact Cancellation from Electrocardiogram by Mixed Wavelet-ICA Filter.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004
A Comparison of ICA Algorithms in Biomedical Signal Processing.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Time-Frequency Analysis for Characterizing EMG Signals During fMRI Acquisitions.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

2003
Intracranial Pressure Signal Processing by Adaptive Fuzzy Network.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

2002
A New Approach to Detection of Muscle Activation by Independent Component Analysis and Wavelet Transform.
Proceedings of the Neural Nets, 13th Italian Workshop on Neural Nets, 2002


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