Javier Ramírez
Orcid: 0000-0002-6229-2921Affiliations:
- University of Granada, Department of Signal Theory, Telematics and Communications, Spain
According to our database1,
Javier Ramírez
authored at least 260 papers
between 2000 and 2024.
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Bibliography
2024
CoRR, 2024
2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion, December, 2023
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data.
Int. J. Neural Syst., August, 2023
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern.
Int. J. Neural Syst., April, 2023
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.
Int. J. Neural Syst., April, 2023
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression.
Appl. Soft Comput., February, 2023
A non-parametric statistical inference framework for Deep Learning in current neuroimaging.
Inf. Fusion, 2023
Uncertainty-driven ensembles of multi-scale deep architectures for image classification.
Inf. Fusion, 2023
Integr. Comput. Aided Eng., 2023
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.
CoRR, 2023
Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders.
CoRR, 2023
2022
A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model.
IEEE J. Biomed. Health Informatics, 2022
Neurocomputing, 2022
Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images.
Int. J. Neural Syst., 2022
Int. J. Neural Syst., 2022
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works.
Comput. Biol. Medicine, 2022
Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson's Disease.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
CAD System for Parkinson's Disease with Penalization of Non-significant or High-Variability Input Data Sources.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
2021
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities.
Inf. Fusion, 2021
Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy.
Neurocomputing, 2021
Expert Syst. Appl., 2021
CoRR, 2021
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
CoRR, 2021
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability.
CoRR, 2021
Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images.
CoRR, 2021
2020
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders.
IEEE J. Biomed. Health Informatics, 2020
Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data.
Neuroinformatics, 2020
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
Neurocomputing, 2020
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.
Int. J. Neural Syst., 2020
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease.
Int. J. Neural Syst., 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
Neurocomputing, 2019
Int. J. Neural Syst., 2019
Int. J. Neural Syst., 2019
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
Proceedings of the Understanding the Brain Function and Emotions, 2019
Proceedings of the Understanding the Brain Function and Emotions, 2019
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
CoRR, 2018
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
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
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2017
NeuroImage, 2017
Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support.
Int. J. Neural Syst., 2017
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
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
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
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
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
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
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
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
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
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
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
Frontiers Comput. Neurosci., 2014
Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach.
Frontiers Comput. Neurosci., 2014
Proceedings of the SIGMAP 2014, 2014
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
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
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
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
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
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
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
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
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
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging.
Artif. Intell. Medicine, 2012
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
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
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
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
Appl. Soft Comput., 2011
Appl. Soft Comput., 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
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
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
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
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
2009
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
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
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
Volcano-seismic Signal Detection and Classification Processing using Hidden Markov Models. Application to San Cristóbal Volcano, Nicaragua.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Proceedings of the International Conference on Image Processing, 2009
2008
IEEE Trans. Speech Audio Process., 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
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
IEEE Trans. Geosci. Remote. Sens., 2007
Improved Voice Activity Detection Using Contextual Multiple Hypothesis Testing for Robust Speech Recognition.
IEEE Trans. Speech Audio Process., 2007
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
Proceedings of the Computational and Ambient Intelligence, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Speech/non-speech discrimination based on contextual information integrated bispectrum LRT.
IEEE Signal Process. Lett., 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the INTERSPEECH 2006, 2006
Speech/non-speech discrimination combining advanced feature extraction and SVM learning.
Proceedings of the INTERSPEECH 2006, 2006
Proceedings of the INTERSPEECH 2006, 2006
Proceedings of the INTERSPEECH 2006, 2006
Proceedings of the Computational Science and Its Applications, 2006
Proceedings of the Computational Science, 2006
Proceedings of the Computational Science, 2006
Proceedings of the Computational Science, 2006
Proceedings of the Computational Science, 2006
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
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
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
An effective subband OSF-based VAD with noise reduction for robust speech recognition.
IEEE Trans. Speech Audio Process., 2005
Statistical voice activity detection using a multiple observation likelihood ratio test.
IEEE Signal Process. Lett., 2005
J. Circuits Syst. Comput., 2005
Proceedings of the Nonlinear Analyses and Algorithms for Speech Processing, 2005
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
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the 2005 International Conference on Field Programmable Logic and Applications (FPL), 2005
2004
Cepstral domain segmental nonlinear feature transformations for robust speech recognition.
IEEE Signal Process. Lett., 2004
IEEE Signal Process. Lett., 2004
Speech Commun., 2004
Proceedings of the INTERSPEECH 2004, 2004
Improved voice activity detection combining noise reduction and subband divergence measures.
Proceedings of the INTERSPEECH 2004, 2004
Voice activity detection with noise reduction and long-term spectral divergence estimation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
A new voice activity detector using subband order-statistics filters for robust speech recognition.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the Field Programmable Logic and Application, 2004
2003
Design and Implementation of High-Performance RNS Wavelet Processors Using Custom IC Technologies.
J. VLSI Signal Process., 2003
Implementation of RNS-Based Distributed Arithmetic Discrete Wavelet Transform Architectures Using Field-Programmable Logic.
J. VLSI Signal Process., 2003
A Fast QRNS-Based Algorithm for the DCT and Its Field-Programmable Logic Implementation.
J. Circuits Syst. Comput., 2003
Improved feature extraction based on spectral noise reduction and nonlinear feature normalization.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003
Proceedings of the Field Programmable Logic and Application, 13th International Conference, 2003
2002
Proceedings of the Integrated Circuit Design. Power and Timing Modeling, 2002
U. Meyer-Baese, A. Lloris: Fast RNS FPL-based Communications Receiver Design and Implementation.
Proceedings of the Field-Programmable Logic and Applications, 2002
Proceedings of the Field-Programmable Logic and Applications, 2002
2001
Implementation of the one dimensional discrete cosine transform using the residue number system.
Proceedings of the 2001 8th IEEE International Conference on Electronics, 2001
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
A new architecture to compute the discrete cosine transform using the quadratic residue number system.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000
Analysis of RNS-FPL Synergy for High Throughput DSP Applications: Discrete Wavelet Transform.
Proceedings of the Field-Programmable Logic and Applications, 2000
An efficient RNS architecture for the computation of discrete wavelet transforms on programmable devices.
Proceedings of the 10th European Signal Processing Conference, 2000