Juan Manuel Górriz

According to our database1, Juan Manuel Górriz authored at least 251 papers between 2003 and 2021.

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

Timeline

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Bibliography

2021
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network.
Inf. Fusion, 2021

Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities.
Inf. Fusion, 2021

2020
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders.
IEEE J. Biomed. Health Informatics, 2020

Hardware implementation of real-time pedestrian detection system.
Neural Comput. Appl., 2020

Neural Computation links Neuroscience: a synergistic approach.
Neural Comput. Appl., 2020

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation.
Inf. Fusion, 2020

Granger causality-based information fusion applied to electrical measurements from power transformers.
Inf. Fusion, 2020

Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning.
Inf. Fusion, 2020

Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer's disease.
Neurocomputing, 2020

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications.
Neurocomputing, 2020

Expectation-Maximization algorithm for finite mixture of α-stable distributions.
Neurocomputing, 2020

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.
Int. J. Neural Syst., 2020

Multivariate Pattern Analysis Techniques for Electroencephalography Data to Study Flanker Interference Effects.
Int. J. Neural Syst., 2020

Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks.
Int. J. Neural Syst., 2020

Introduction.
Int. J. Neural Syst., 2020

Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease.
Int. J. Neural Syst., 2020

Editorial: Deep Learning in Aging Neuroscience.
Frontiers Neuroinformatics, 2020

A connection between the pattern classification problem and the General Linear Model for statistical inference.
CoRR, 2020

Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images.
CoRR, 2020

Optimized One vs One Approach in Multiclass Classification for Early Alzheimer's Disease and Mild Cognitive Impairment Diagnosis.
IEEE Access, 2020

2019
On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging.
Pattern Recognit., 2019

Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes.
Neurocomputing, 2019

Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology.
Int. J. Neural Syst., 2019

Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling.
Int. J. Neural Syst., 2019

A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms.
Int. J. Neural Syst., 2019

Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression.
Integr. Comput. Aided Eng., 2019

Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks.
Frontiers Neuroinformatics, 2019

Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities.
CoRR, 2019

Periodogram Connectivity of EEG Signals for the Detection of Dyslexia.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Multivariate Pattern Analysis of Electroencephalography Data in a Demand-Selection Task.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Support Vector Machine Failure in Imbalanced Datasets.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Comparison Between Affine and Non-affine Transformations Applied to I ^[123] [ 123 ] -FP-CIT SPECT Images Used for Parkinson's Disease Diagnosis.
Proceedings of the Understanding the Brain Function and Emotions, 2019

2018
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
Int. J. Neural Syst., 2018

Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders.
Log. J. IGPL, 2018

Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease.
Frontiers Neuroinformatics, 2018

Automated non-mass enhancing lesion detection and segmentation in breast DCE-MRI.
CoRR, 2018

Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Classification Improvement for Parkinson's Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

3D Gabor Filters for Chest Segmentation in DCE-MRI.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support.
Int. J. Neural Syst., 2017

Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism.
Frontiers Neuroinformatics, 2017

Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease.
Frontiers Neuroinformatics, 2017

Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases.
Frontiers Neuroinformatics, 2017

A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI.
Frontiers Neuroinformatics, 2017

P300 brainwave extraction from EEG signals: An unsupervised approach.
Expert Syst. Appl., 2017

A semi-supervised learning approach for model selection based on class-hypothesis testing.
Expert Syst. Appl., 2017

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM.
IEEE Access, 2017

Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Case-based statistical learning applied to SPECT image classification.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Preliminary Study on Unilateral Sensorineural Hearing Loss Identification via Dual-Tree Complex Wavelet Transform and Multinomial Logistic Regression.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

PET Image Classification Using HHT-Based Features Through Fractal Sampling.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

On a Heavy-Tailed Intensity Normalization of the Parkinson's Progression Markers Initiative Brain Database.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

A proposed computer-aided diagnosis system for Parkinson's disease classification using <sup>123</sup>I-FP-CIT imaging.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2016
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.
Int. J. Neural Syst., 2016

A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease.
Int. J. Neural Syst., 2016

Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning.
Frontiers Comput. Neurosci., 2016

Using frequency analysis to improve the precision of human body posture algorithms based on Kalman filters.
Comput. Biol. Medicine, 2016

Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016

Multiclass classification of <sup>18</sup>F-DMFP-PET data to assist the diagnosis of parkinsonism.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

Improving short-term prediction from MCI to AD by applying searchlight analysis.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Building a FP-CIT SPECT Brain Template Using a Posterization Approach.
Neuroinformatics, 2015

Intensity normalization in the analysis of functional DaTSCAN SPECT images: The α-stable distribution-based normalization method vs other approaches.
Neurocomputing, 2015

Early diagnosis of Alzheimer's disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images.
Neurocomputing, 2015

Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks.
Frontiers Comput. Neurosci., 2015

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis.
Frontiers Comput. Neurosci., 2015

Digital image analysis for automatic enumeration of malaria parasites using morphological operations.
Expert Syst. Appl., 2015

Intensity normalization of DaTSCAN SPECT imaging using a model-based clustering approach.
Appl. Soft Comput., 2015

A Posterization Strategy for the Registration of [123I]FP-CIT SPECT Brain Images.
Proceedings of the VISAPP 2015, 2015

Automated Diagnosis of Alzheimer's Disease by Integrating Genetic Biomarkers and Tissue Density Information.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer's Disease.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Independent Component Analysis-Based Classification of Alzheimer's Disease from Segmented MRI Data.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Intensity Normalization of 123 I-ioflupane-SPECT Brain Images Using a Model-Based Multivariate Linear Regression Approach.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Study of the Histogram of the Hippocampus in MRI Using the α-stable Distribution.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

2014
Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering.
Inf. Sci., 2014

Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging.
Neurocomputing, 2014

Identifying endophenotypes of autism: a multivariate approach.
Frontiers Comput. Neurosci., 2014

Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach.
Frontiers Comput. Neurosci., 2014

Advanced Computer Vision Approaches in Biomedical Image Analysis.
Comput. Math. Methods Medicine, 2014

Bidimensional Ensemble Empirical mode Decomposition of Functional Biomedical Images.
Adv. Data Sci. Adapt. Anal., 2014

Why Using the Alpha-stable Distribution in Neuroimage?.
Proceedings of the SIGMAP 2014, 2014

PETRA: Multivariate analyses for neuroimaging data.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Affine registration of [123I]FP-CIT SPECT brain images.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Statistical Significance in the Selection of the Regions of Interest for Parkinson Brain Image Processing.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Gated Sensor Fusion: A way to Improve the Precision of Ambulatory Human Body Motion Estimation.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Projecting MRI brain images for the detection of Alzheimer's Disease.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Linear intensity normalization of DaTSCAN images using Mean Square Error and a model-based clustering approach.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Applications of Gaussian mixture models and mean squared error within DatSCAN SPECT imaging.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A simplified QRS decision stage based on the DFT coefficients.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Automatic Determination of Validity of Input Data Used in Ellipsoid Fitting MARG Calibration Algorithms.
Sensors, 2013

LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease.
Pattern Recognit. Lett., 2013

Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution.
NeuroImage, 2013

Computer-aided diagnosis of Alzheimer's type dementia combining support vector machines and discriminant set of features.
Inf. Sci., 2013

Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization.
Neurocomputing, 2013

Early diagnosis of Alzheimer's disease based on Partial Least Squares and Support Vector Machine.
Expert Syst. Appl., 2013

Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease.
Expert Syst. Appl., 2013

Component-based technique for determining the effects of acupuncture for fighting migraine using SPECT images.
Expert Syst. Appl., 2013

Integrating discretization and association rule-based classification for Alzheimer's disease diagnosis.
Expert Syst. Appl., 2013

Functional activity maps based on significance measures and Independent Component Analysis.
Comput. Methods Programs Biomed., 2013

Improving the Convergence Rate in Affine Registration of PET and SPECT Brain Images Using Histogram Equalization.
Comput. Math. Methods Medicine, 2013

Segmentation of Brain MRI Using SOM-FCM-Based Method and 3D Statistical Descriptors.
Comput. Math. Methods Medicine, 2013

Parameterization of the distribution of white and grey matter in MRI using the <i>α</i>α-stable distribution.
Comput. Biol. Medicine, 2013

Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies.
Appl. Soft Comput., 2013

Erratum to "Unsupervised Neural Techniques Applied to MR Brain Image Segmentation".
Adv. Artif. Neural Syst., 2013

Automatic Differentiation between Alzheimer's Disease and Mild Cognitive Impairment Combining PET Data and Psychological Scores.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Early Computer Aided Diagnosis of Parkinson's Disease Based on Nearest Neighbor Strategy and striatum Activation Threshold.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

Texture Features Based Detection of Parkinson's Disease on DaTSCAN Images.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

Automatic Orientation of Functional Brain Images for Multiplataform Software.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

Automatic ROI Selection Using SOM Modelling in Structural Brain MRI.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

2012
NMF-SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's Disease.
IEEE Trans. Medical Imaging, 2012

Detection of (In)activity Periods in Human Body Motion Using Inertial Sensors: A Comparative Study.
Sensors, 2012

Functional brain image classification using association rules defined over discriminant regions.
Pattern Recognit. Lett., 2012

Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.
BMC Medical Informatics Decis. Mak., 2012

A comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database.
Neurocomputing, 2012

Computer Aided Diagnosis tool for Alzheimer's Disease based on Mann-Whitney-Wilcoxon U-Test.
Expert Syst. Appl., 2012

On the empirical mode decomposition applied to the analysis of brain SPECT images.
Expert Syst. Appl., 2012

Association rule-based feature selection method for Alzheimer's disease diagnosis.
Expert Syst. Appl., 2012

Brain Connectivity Analysis: A Short Survey.
Comput. Intell. Neurosci., 2012

Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging.
Artif. Intell. Medicine, 2012

Unsupervised Neural Techniques Applied to MR Brain Image Segmentation.
Adv. Artif. Neural Syst., 2012

Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine.
Adv. Artif. Neural Syst., 2012

Automatic differentiation between controls and Parkinson's disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Optimized segmentation of Brain MRI using GHSOM and evolutive computing.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

SPECT Computer-Aided Diagnosis System based on the Empirical Mode Decomposition.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Effective voxel selection method over FDG-PET database based on Association Rules.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

A Decision Support System for the assisted diagnosis of brain tumors: A feasibility study for <sup>18</sup>F-FDG PET preclinical studies.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Wagyromag: Wireless sensor network for monitoring and processing human body movement in healthcare applications.
J. Syst. Archit., 2011

<sup>18</sup>F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis.
Inf. Sci., 2011

Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease.
Neurocomputing, 2011

Two approaches to selecting set of voxels for the diagnosis of Alzheimerʼs disease using brain SPECT images.
Digit. Signal Process., 2011

Computer aided diagnosis of Alzheimer's disease using component based SVM.
Appl. Soft Comput., 2011

GMM based SPECT image classification for the diagnosis of Alzheimer's disease.
Appl. Soft Comput., 2011

Brain Status Data Analysis by Sliding EMD.
Proceedings of the New Challenges on Bioinspired Applications, 2011

MRI Brain Image Segmentation with Supervised SOM and Probability-Based Clustering Method.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Analysis of Spect Brain Images Using Wilcoxon and Relative Entropy Criteria and Quadratic Multivariate Classifiers for the Diagnosis of Alzheimer's Disease.
Proceedings of the New Challenges on Bioinspired Applications, 2011

A Quantitative Study on Acupuncture Effects for Fighting Migraine Using SPECT Images.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Distance Metric Learning as Feature Reduction Technique for the Alzheimer's Disease Diagnosis.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Effective Diagnosis of Alzheimer's Disease by Means of Distance Metric Learning and Random Forest.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Bayesian Segmentation of Magnetic Resonance Images Using the <i>α</i>-Stable Distribution.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

SVM with Bounds of Confidence and PLS for Quantifying the Effects of Acupuncture on Migraine Patients.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Effective Diagnosis of Alzheimer's Disease by Means of Distance Metric Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010
Improved likelihood ratio test based voice activity detector applied to speech recognition.
Speech Commun., 2010

Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer's disease.
Pattern Recognit. Lett., 2010

Early Alzheimer's disease diagnosis using partial least squares and random forests.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Accurate Human Limb Angle Measurement in Telerehabilitation: Sensor Fusion through Kalman, LMS and RLS Adaptive Filtering.
Proceedings of the Ambient Intelligence and Future Trends, 2010

Partial Least Squares for Feature Extraction of SPECT Images.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Selecting Regions of Interest in SPECT Images Using Wilcoxon Test for the Diagnosis of Alzheimer's Disease.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer's Disease.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Sensor Fusion Adaptive Filtering for Position Monitoring in Intense Activities.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Exploratory Matrix Factorization for PET Image Analysis.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Exploring Symmetry to Assist Alzheimer's Disease Diagnosis.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Effective Diagnosis of Alzheimer's Disease by Means of Association Rules.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
A Novel LMS Algorithm Applied to Adaptive Noise Cancellation.
IEEE Signal Process. Lett., 2009

Analysis of Brain SPECT Images for the Diagnosis of Alzheimer Disease Using First and Second Order Moments.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Functional Brain Image Classification Techniques for Early Alzheimer Disease Diagnosis.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Support Vector Machines and Neural Networks for the Alzheimer's Disease Diagnosis Using PCA.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Classification of SPECT Images Using Clustering Techniques Revisited.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Selecting Regions of Interest for the Diagnosis of Alzheimer's Disease in Brain SPECT Images Using Welch's t-Test.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

SPECT Image Classification Techniques for Computer Aided Diagnosis of the Alzheimer Disease.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Automatic System for Alzheimer's Disease Diagnosis Using Eigenbrains and Bayesian Classification Rules.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Alzheimer's Diagnosis Using Eigenbrains and Support Vector Machines.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Selecting Regions of Interest for the Diagnosis of Alzheimer Using Brain SPECT Images.
Proceedings of the Advances in Neural Networks, 2009

Effective Detection of the Alzheimer Disease by Means of Coronal NMSE SVM Feature Classification.
Proceedings of the Advances in Neural Networks, 2009

Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Independent Component Analysis of SPECT Images to Assist the Alzheimer's Disease Diagnosis.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Skewness as feature for the diagnosis of Alzheimer's disease using SPECT images.
Proceedings of the International Conference on Image Processing, 2009

2008
Jointly Gaussian PDF-Based Likelihood Ratio Test for Voice Activity Detection.
IEEE Trans. Speech Audio Process., 2008

Hybridizing sparse component analysis with genetic algorithms for microarray analysis.
Neurocomputing, 2008

Computer Aided Diagnosis of Alzheimer Disease Using Support Vector Machines and Classification Trees.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Early Detection of the Alzheimer Disease Combining Feature Selection and Kernel Machines.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Automatic Classification System for the Diagnosis of Alzheimer Disease Using Component-Based SVM Aggregations.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data.
Proceedings of the Computational Science, 2008

A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Improved Voice Activity Detection Using Contextual Multiple Hypothesis Testing for Robust Speech Recognition.
IEEE Trans. Speech Audio Process., 2007

Higher-order Statistics Interpretation. Application to Power-Quality Characterization.
Proceedings of the SIGMAP 2007, 2007

An Efficient VAD Based on a Generalized Gaussian PDF.
Proceedings of the Advances in Nonlinear Speech Processing, 2007

Improved Likelihood Ratio Test Detector Using a Jointly Gaussian Probability Distribution Function.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

An Efficient VAD Based on a Hang-Over Scheme and a Likelihood Ratio Test.
Proceedings of the Computational and Ambient Intelligence, 2007

Revised Contextual LRT for Voice Activity Detection.
Proceedings of the IEEE International Conference on Acoustics, 2007

Power Transients Characterization and Classification Using Higher-Order Cumulants and Competitive Layers.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Noisy image processing using the independent component analysis algorithm AMUSE.
Proceedings of the Artificial Neural Networks and Intelligent Information Processing, 2007

2006
Speech/non-speech discrimination based on contextual information integrated bispectrum LRT.
IEEE Signal Process. Lett., 2006

Generalized LRT-Based Voice Activity Detector.
IEEE Signal Process. Lett., 2006

Hard C-means clustering for voice activity detection.
Speech Commun., 2006

Maximization of statistical moments for blind separation of sources revisited.
Neurocomputing, 2006

Denoising using local projective subspace methods.
Neurocomputing, 2006

Optimizing blind source separation with guided genetic algorithms.
Neurocomputing, 2006

Comparison of Two ICA Algorithms in BSS Applied to Non-destructive Vibratory Tests.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

SVM-Enabled Voice Activity Detection.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Speech/non-speech discrimination combining advanced feature extraction and SVM learning.
Proceedings of the INTERSPEECH 2006, 2006

An efficient bispectrum phase entropy-based algorithm for VAD.
Proceedings of the INTERSPEECH 2006, 2006

Frequency Calibrations with Conventional Time Interval Counters via GPS Traceability.
Proceedings of the ICEIS 2006, 2006

Noise Subspace Fuzzy C-Means Clustering for Robust Speech Recognition.
Proceedings of the Computational Science and Its Applications, 2006

Speech Event Detection Using Support Vector Machines.
Proceedings of the Computational Science, 2006

Third-Order Spectral Characterization of Termite's Emission Track.
Proceedings of the Computational Science, 2006

C-Means Clustering Applied to Speech Discrimination.
Proceedings of the Computational Science, 2006

Independent Component Analysis Applied to Voice Activity Detection.
Proceedings of the Computational Science, 2006

Fuzzy Logic Speech/Non-speech Discrimination for Noise Robust Speech Processing.
Proceedings of the Computational Science, 2006

Gaialab: A Weblab Project for Digital Communications Distributed Learning.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Effective Speech/Pause Discrimination Using an Integrated Bispectrum Likelihood Ratio Test.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Effective Speech/Pause Discrimination Combining Noise Suppression and Fuzzy Logic Rules.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Two ICA Algorithms Applied to BSS in Non-destructive Vibratory Tests.
Proceedings of the Artificial Neural Networks, 2006

On the Performance of a HOS-Based ICA Algorithm in BSS of Acoustic Emission Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
A Survey of Forecasting Preprocessing Techniques using RNs.
Informatica (Slovenia), 2005

Testing for Independence and Lrt for VAD.
Int. J. Inf. Acquis., 2005

GA-ICA algorithms applied to image processing.
Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005

Bispectrum Estimators for Voice Activity Detection and Speech Recognition.
Proceedings of the Nonlinear Analyses and Algorithms for Speech Processing, 2005

Bispectra Analysis-Based VAD for Robust Speech Recognition.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Convergence Analysis of a GA-ICA Algorithm.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Connections Between ICA and Sparse Coding Revisited.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Voice Activity Detection Using Higher Order Statistics.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Matched Filter as Pre-processing Tool for Multi-user Detection in DS-CDMA System.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Guided GA-ICA Algorithms.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation.
Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005

Assessing the Performance of Several Fitness Functions in a Genetic Algorithm for Nonlinear Separation of Sources.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Wavelets Transforms Applied to Termite Detection.
Proceedings of the ICEIS 2005, 2005

Wavelets and Wavelet Packets Applied to Termite Detection.
Proceedings of the Computational Science, 2005

Simulated Annealing Based-GA Using Injective Contrast Functions for BSS.
Proceedings of the Computational Science, 2005

Recognition of Insect Emissions Applying the Discrete Wavelet Transform.
Proceedings of the Pattern Recognition and Data Mining, 2005

Bispectrum-Based Statistical Tests for VAD.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
A new model for time-series forecasting using radial basis functions and exogenous data.
Neural Comput. Appl., 2004

A Genetic Algorithm for Solving BSS-ICA.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

Parallelization of Time Series Forecasting Model.
Proceedings of the 12th Euromicro Workshop on Parallel, 2004

Preprocessing time series with ICA and savitzky-golay filtering.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Hybrid SOM-SVM Algorithm for Real Time Series Forecasting.
Proceedings of the ICINCO 2004, 2004

An Application of the Independent Component Analysis to Monitor Acoustic Emission Signals Generated by Termite Activity in Wood.
Proceedings of the ICINCO 2004, 2004

Improving ICA Algorithms Applied to Predicting Stock Returns.
Proceedings of the ICETE 2004, 2004

Meta-heuristics hybridizing independent component analysis with genetic algorithms.
Proceedings of the 2004 11th IEEE International Conference on Electronics, 2004

Online Algorithm for Time Series Prediction Based on Support Vector Machine Philosophy.
Proceedings of the Computational Science, 2004

Hybridizing Genetic Algorithms with ICA in Higher Dimension.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

An Application of ICA to Identify Vibratory Low-Level Signals Generated by Termites.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Theoretical Method for Solving BSS-ICA Using SVM.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Characterization of the Sources in Convolutive Mixtures: A Cumulant-Based Approach.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

On-line support vector machines and optimization strategies.
Proceedings of the ESANN 2004, 2004

2003
New Method for Filtered ICA Signals Applied to Volatile Time Series.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003


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