Jordi Solé i Casals

Orcid: 0000-0002-6534-1979

According to our database1, Jordi Solé i Casals authored at least 121 papers between 1999 and 2024.

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

Timeline

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Bibliography

2024
Assessing the Potential of Data Augmentation in EEG Functional Connectivity for Early Detection of Alzheimer's Disease.
Cogn. Comput., January, 2024

Enabling temporal-spectral decoding in multi-class single-side upper limb classification.
Eng. Appl. Artif. Intell., 2024

Optimizing graph neural network architectures for schizophrenia spectrum disorder prediction using evolutionary algorithms.
Comput. Methods Programs Biomed., 2024

An Insight Into Neurodegeneration: Harnessing Functional MRI Connectivity in the Diagnosis of Mild Cognitive Impairment.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
Special Issue "Machine Learning Methods for Biomedical Data Analysis".
Sensors, December, 2023

Effect of Foot Orthoses on Angular Velocity of Feet.
Sensors, November, 2023

Multi-Class Classification of Upper Limb Movements With Filter Bank Task-Related Component Analysis.
IEEE J. Biomed. Health Informatics, August, 2023

Underwater sEMG-based recognition of hand gestures using tensor decomposition.
Pattern Recognit. Lett., January, 2023

A Brain-Controlled Vehicle System Based on Steady State Visual Evoked Potentials.
Cogn. Comput., January, 2023

Brain Simulation and Spiking Neural Networks.
Cogn. Comput., 2023

A Reliable Method to Estimate the Bispectral Index Value Using a Single Frontal EEG Channel for Intra and Inter Subject Variability.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

2022
Domain classifier-based transfer learning for visual attention prediction.
World Wide Web, 2022

A Machine Learning Approach for Predicting Non-Suicidal Self-Injury in Young Adults.
Sensors, 2022

Clustering Users to Determine the Most Suitable Gamification Elements.
Sensors, 2022

Enabling Temporal-Spectral Decoding in Pre-movement Detection.
CoRR, 2022

Multi-class versus One-class classifier in spontaneous speech analysis oriented to Alzheimer Disease diagnosis.
CoRR, 2022

Selection of entropy based features for the analysis of the Archimedes' spiral applied to essential tremor.
CoRR, 2022

HAIDA: Biometric technological therapy tools for neurorehabilitation of Cognitive Impairment.
CoRR, 2022

Towards Multi-class Pre-movement Classification.
CoRR, 2022

Improving Pre-movement Pattern Detection with Filter Bank Selection.
CoRR, 2022

Tensor completion algorithms for estimating missing values in multi-channel audio signals.
Comput. Electr. Eng., 2022

Data augmentation for Convolutional LSTM based brain computer interface system.
Appl. Soft Comput., 2022

Preliminary Results on the Generation of Artificial Handwriting Data Using a Decomposition-Recombination Strategy.
Proceedings of the IEEE International Conference on Acoustics, 2022

Preliminary Results on the Use of Classification Trees to Predict Non-suicidal Self-injury with Data Collected through a Mobile App.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021
IMU-Based Effects Assessment of the Use of Foot Orthoses in the Stance Phase during Running and Asymmetry between Extremities.
Sensors, 2021

Serial-EMD: Fast empirical mode decomposition method for multi-dimensional signals based on serialization.
Inf. Sci., 2021

Component-mixing strategy: A decomposition-based data augmentation algorithm for motor imagery signals.
Neurocomputing, 2021

A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition.
Entropy, 2021

A multimodal emotion recognition method based on facial expressions and electroencephalography.
Biomed. Signal Process. Control., 2021

WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks.
IEEE Access, 2021

Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Multi-feature Fusion for Epileptic Focus Localization Based on Tensor Representation.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

EEG-Based BCIs for Elderly Rehabilitation Enhancement Exploiting Artificial Data.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

Novel EEG-based BCIs for Elderly Rehabilitation Enhancement.
Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2021 co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), 2021

2020
A recognition-verification system for noisy faces based on an empirical mode decomposition with Green's functions.
Soft Comput., 2020

Learning from Incomplete Data by Simultaneous Training of Neural Networks and Sparse Coding.
CoRR, 2020

Classification of Epileptic IEEG Signals by CNN and Data Augmentation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals.
IEEE Access, 2019

2018
Preliminary Study on Implications of Cursive Handwriting Learning in Schools.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Effects of the pre-processing algorithms in fault diagnosis of wind turbines.
Environ. Model. Softw., 2018

Automatic Analysis of Archimedes' Spiral for Characterization of Genetic Essential Tremor Based on Shannon's Entropy and Fractal Dimension.
Entropy, 2018

Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach.
Cogn. Comput., 2018

Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease.
Cogn. Comput., 2018

A New Algorithm for Speech Enhancement Based on Multivariate Empirical Mode Decomposition.
Proceedings of the Artificial Intelligence Research and Development, 2018

2017
Impact of target variable distribution type over the regression analysis in wind turbine data.
Proceedings of the International Conference and Workshop on Bioinspired Intelligence, 2017

2016
Multi-class Versus One-Class Classifier in Spontaneous Speech Analysis Oriented to Alzheimer Disease Diagnosis.
Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

Recent Advances in Nonlinear Speech Processing: Directions and Challenges.
Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

EEG signal preprocessing for biometric recognition.
Mach. Vis. Appl., 2016

A green's function-based Bi-dimensional empirical mode decomposition.
Inf. Sci., 2016

Selection of Entropy Based Features for Automatic Analysis of Essential Tremor.
Entropy, 2016

2015
Towards Semi-Automatic Artifact Rejection for the Improvement of Alzheimer's Disease Screening from EEG Signals.
Sensors, 2015

Feature selection for automatic analysis of emotional response based on nonlinear speech modeling suitable for diagnosis of Alzheimer's disease.
Neurocomputing, 2015

Feature selection for spontaneous speech analysis to aid in Alzheimer's disease diagnosis: A fractal dimension approach.
Comput. Speech Lang., 2015

Alternative Techniques of Neural Signal Processing in Neuroengineering.
Cogn. Comput., 2015

On Automatic Diagnosis of Alzheimer's Disease Based on Spontaneous Speech Analysis and Emotional Temperature.
Cogn. Comput., 2015

Selection of entropy based features for the analysis of the Archimedes' spiral applied to essential tremor.
Proceedings of the 4th International Work Conference on Bioinspired Intelligence, 2015

A Preliminary Review of Behavioural Biometrics for Health Monitoring in the Elderly.
Proceedings of the BIOSIGNALS 2015, 2015

Face Recognition by Fast and Stable Bi-dimensional Empirical Mode Decomposition.
Proceedings of the BIOSIGNALS 2015, 2015

2014
On the Alzheimer's Disease Diagnosis: Automatic Spontaneous Speech Analysis.
Trans. Comput. Collect. Intell., 2014

Detection of severe obstructive sleep apnea through voice analysis.
Appl. Soft Comput., 2014

Detection and Tracking of the Human Hot Spot.
Proceedings of the BIOSIGNALS 2014, 2014

Population Ageing and ICT - An Exploratory Review of Technology Innovation trough Digital Applications.
Proceedings of the BIOSIGNALS 2014, 2014

2013
On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis.
Sensors, 2013

A Fast Gradient Approximation for Nonlinear Blind Signal Processing.
Cogn. Comput., 2013

Automatic Detection of Laryngeal Pathologies in Running Speech Based on the HMM Transformation of the Nonlinear Dynamics.
Proceedings of the Advances in Nonlinear Speech Processing - 6th International Conference, 2013

Speech Enhancement: A Multivariate Empirical Mode Decomposition Approach.
Proceedings of the Advances in Nonlinear Speech Processing - 6th International Conference, 2013

Towards a Low-Complex Breathing Monitoring System Based on Acoustic Signals.
Proceedings of the Advances in Nonlinear Speech Processing - 6th International Conference, 2013

Feature Extraction Approach Based on Fractal Dimension for Spontaneous Speech Modelling Oriented to Alzheimer Disease Diagnosis.
Proceedings of the Advances in Nonlinear Speech Processing - 6th International Conference, 2013

Improving Early Diagnosis of Alzheimer's Disease Using Synchrony Measures.
Proceedings of the Artificial Intelligence Research and Development, 2013

Parameterization of Written Signatures based on EFD.
Proceedings of the BIOSIGNALS 2013, 2013

Empirical Mode Decomposition-based Face Recognition System.
Proceedings of the BIOSIGNALS 2013, 2013

Differences of Functional Connectivity Brain Network in Emotional Judgment.
Proceedings of the BIOSIGNALS 2013, 2013

EEG Based User Recognition Using BUMP Modelling.
Proceedings of the 2013 BIOSIG, 2013

2012
New Approaches for Alzheimer's Disease Diagnosis Based on Automatic Spontaneous Speech Analysis and Emotional Temperature.
Proceedings of the Ambient Assisted Living and Home Care - 4th International Workshop, 2012

Alzheimer Disease Diagnosis based on Automatic Spontaneous Speech Analysis.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

EEG Signal Analysis via a Cleaning Procedure based on Multivariate Empirical Mode Decomposition.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

Adaptive Smoothing Applied to fMRI Data.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

Smoothing FMRI Data Using an Adaptive Wiener Filter.
Proceedings of the Computational Intelligence - International Joint Conference, 2012

Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Exploring mEMD for Face Recognition.
Proceedings of the BIOSIGNALS 2012, 2012

2011
Integrative Analysis of the Regulatory Region of the FGFR3 Oncogene.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

A Simple Approximation for Fast Nonlinear Deconvolution.
Proceedings of the Advances in Nonlinear Speech Processing, 2011

Application of Multivariate Empirical Mode Decomposition for Cleaning Eye Blinks Artifacts from EEG Signals.
Proceedings of the NCTA 2011, 2011

Statistical Analysis of Functional MRI Data using Independent Component Analysis.
Proceedings of the NCTA 2011, 2011

Face Detection Algorithm using EMD - Application to Biometric Recognition System.
Proceedings of the BIOSIGNALS 2011, 2011

2010
Non-Linear and Non-Conventional Speech Processing: Alternative Techniques.
Cogn. Comput., 2010

A Non-Linear VAD for Noisy Environments.
Cogn. Comput., 2010

Sparse Bump Modeling of mildAD Patients - Modeling Transient Oscillations in the EEG of Patients with Mild Alzheimer's Disease.
Proceedings of the BIOSIGNALS 2010, 2010

Feature and Computational Time Reduction on Hand Biometric System.
Proceedings of the BIOSIGNALS 2010, 2010

Automatic Identification of DNA Markers based on Features Reduction.
Proceedings of the BIOSIGNALS 2010, 2010

ICA Cleaning Procedure for EEG Signals Analysis - Application to Alzheimer's Disease Detection.
Proceedings of the BIOSIGNALS 2010, 2010

Cerebral Correlates of the Continous Performance Test-identical Pairs Version - An fMRI Study.
Proceedings of the BIOSIGNALS 2010, 2010

2009
Maximum likelihood linear programming data fusion for speaker recognition.
Speech Commun., 2009

Applications of Cumulants in Speech Processing.
Proceedings of the Advances in Nonlinear Speech Processing, 2009

Mathematical Morphology Preprocessing to Mitigate AWGN Effects: Improving Pitch Tracking Performance in Hard Noise Conditions.
Proceedings of the Advances in Nonlinear Speech Processing, 2009

Score Function for Voice Activity Detection.
Proceedings of the Advances in Nonlinear Speech Processing, 2009

Coding of Biosignals Using the Discrete Wavelet Decomposition.
Proceedings of the Advances in Nonlinear Speech Processing, 2009

Coherency and Sharpness Measures by using ICA Algorithms - An Investigation for Alzheimer's Disease Discrimination.
Proceedings of the BIOSIGNALS 2009, 2009

Automatic Recognition of Leaves by Shape Detection Pre-processing with ICA.
Proceedings of the BIOSIGNALS 2009, 2009

2008
Improving a Leaves Automatic Recognition Process Using PCA.
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008

Improved Sparse Bump Modeling for Electrophysiological Data.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Improving the Quality of EEG Data in Patients with Alzheimer's Disease Using ICA.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Investigation of ICA Algorithms for Feature Extraction of EEG Signals in Discrimination of Alzheimer Disease.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007
EEG Windowed Statisticalwavelet Deviation for Estimation of Muscular Artifacts.
Proceedings of the IEEE International Conference on Acoustics, 2007

An Evolutionary Approach for Blind Inversion of Wiener Systems.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Application of the mutual information minimization to speaker recognition/identification improvement.
Neurocomputing, 2006

A Canonical Genetic Algorithm for Blind Inversion of Linear Channels.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
Fast approximation of nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems.
Signal Process., 2005

Blind Channel Deconvolution of Real World Signals Using Source Separation Techniques.
Proceedings of the Nonlinear Analyses and Algorithms for Speech Processing, 2005

A Robust Multiple Feature Approach to Endpoint Detection in Car Environment Based on Advanced Classifiers.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Speaker verification improvement using blind inversion of distortions.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

2004
ICA as a Preprocessing Technique for Classification.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Application of the Mutual Information Minimization to Speaker Recognition / Verification Improvement.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Speaker recognition improvement using blind inversion of distortions.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Initialisation of Nonlinearities for PNL and Wiener Systems Inversion.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2002
Parametric approach to blind deconvolution of nonlinear channels.
Neurocomputing, 2002

Nonlinear prediction based on score function.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Quasi-nonparametric blind inversion of Wiener systems.
IEEE Trans. Signal Process., 2001

Feature Selection, Ranking of Each Feature and Classification for the Diagnosis of Community Acquired Legionella Pneumonia.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

2000
Source separation techniques applied to speech linear prediction.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1999
Blind Inversion of Wiener Systems.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999


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