Improving conformalized quantile regression through cluster-based feature relevance

Expert Systems with Applications

2024 | journal-article

Study on the usage feasibility of continuous-wave radar for emotion recognition

Biomedical Signal Processing and Control

2020 | journal-article

A recognition–verification system for noisy faces based on an empirical mode decomposition with Green’s functions

Soft Computing

2020 | journal-article

Machine Learning Methods for Radar-Based People Detection and Tracking

2019 | book-chapter

Frequency-resolved dynamic functional connectivity reveals scale-stable features of connectivity-states

Frontiers in Human Neuroscience

2018 | journal-article

MDSLAB: A toolbox for the analysis of point sets using multi-dimensional scaling, hartigan dip test and α-stable distributions

Biomedical Physics and Engineering Express

2018 | journal-article

Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets.

Signal Processing

2018 | journal-article

Towards lifelong assistive robotics: A tight coupling between object perception and manipulation

Neurocomputing

2018 | journal-article

A combined cICA-EEMD analysis of EEG recordings from depressed or schizophrenic patients during olfactory stimulation

Journal of Neural Engineering

2017 | journal-article

A multi-variate blind source separation algorithm

Computer Methods and Programs in Biomedicine

2017 | journal-article

A tool to automatically analyze electromagnetic tracking data from high dose rate brachytherapy of breast cancer patients

PLoS ONE

2017 | journal-article

Cognitive radio and spectrum sensing

Networks of the Future: Architectures, Technologies, and Implementations

2017 | book

Energy based clustering method to estimate channel occupation of LTE in unlicensed spectrum

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2017 | book

Object learning and grasping capabilities for robotic home assistants

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2017 | book

On the use of multi-dimensional scaling and electromagnetic tracking in high dose rate brachytherapy

Physics in Medicine and Biology

2017 | journal-article

On the use of particle filters for electromagnetic tracking in high dose rate brachytherapy

Physics in Medicine and Biology

2017 | journal-article

Z-images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2017 | book

3D object perception and perceptual learning in the RACE project

Robotics and Autonomous Systems

2016 | journal-article

A green's function-based Bi-dimensional empirical mode decomposition

Information Sciences

2016 | journal-article

Adaptive threshold spectrum sensing based on Expectation Maximization algorithm

Physical Communication

2016 | journal-article

Alzheimer’s disease brain areas: The machine learning support for blind localization

Current Alzheimer Research

2016 | journal-article

An orthographic descriptor for 3D object learning and recognition

IEEE International Conference on Intelligent Robots and Systems

2016 | conference-paper

Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions

Biomedical Signal Processing and Control

2016 | journal-article

Cognitive bio-radar: The natural evolution of bio-signals measurement

Journal of Medical Systems

2016 | journal-article

Combined EMD-sLORETA analysis of EEG data Collected during a Contour integration task

PLoS ONE

2016 | journal-article

Concurrent 3D Object Category Learning and Recognition Based on Topic Modelling and Human Feedback

Proceedings - 2016 International Conference on Autonomous Robot Systems and Competitions, ICARSC 2016

2016 | conference-paper

ERP correlates of error processing during performance on the Halstead Category Test

International Journal of Psychophysiology

2016 | journal-article

Functional biomedical images of Alzheimer’s disease. A green’s function-based empirical mode decomposition study

Current Alzheimer Research

2016 | journal-article

GOOD: A global orthographic object descriptor for 3D object recognition and manipulation

Pattern Recognition Letters

2016 | journal-article

Hierarchical object representation for open-ended object category learning and recognition

Advances in Neural Information Processing Systems

2016 | conference-paper

An adaptive object perception system based on environment exploration and Bayesian learning

Proceedings - 2015 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2015

2015 | conference-paper

Concurrent learning of visual codebooks and object categories in open-ended domains

IEEE International Conference on Intelligent Robots and Systems

2015 | conference-paper

EMDLAB: A toolbox for analysis of single-trial EEG dynamics using empirical mode decomposition

Journal of Neuroscience Methods

2015 | journal-article

Empirical mode decomposition for noninvasive atrial fibrillation dominant frequency estimation

2015 23rd European Signal Processing Conference, EUSIPCO 2015

2015 | conference-paper

Empirical mode decomposition of multiple ECG leads for catheter ablation long-term outcome prediction in persistent atrial fibrillation

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

2015 | conference-paper

Ensemble empirical mode decomposition analysis of EEG data collected during a contour integration task

PLoS ONE

2015 | journal-article

Face recognition by fast and stable bi-dimensional empirical mode decomposition

BIOSIGNALS 2015 - 8th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015

2015 | conference-paper

From binary NMF to variational bayes NMF: A probabilistic approach

Non-negative Matrix Factorization Techniques: Advances in Theory and Applications

2015 | book

Improving performance of bio-radars for remote heartbeat and breathing detection by using cyclostationary features

BIOSIGNALS 2015 - 8th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015

2015 | conference-paper

Interactive Open-Ended Learning for 3D Object Recognition: An Approach and Experiments

Journal of Intelligent and Robotic Systems: Theory and Applications

2015 | journal-article

A Bayesian approach to the Lee-Seung update rules for NMF

Pattern Recognition Letters

2014 | journal-article

A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection

Neurocomputing

2014 | journal-article

A perceptual memory system for grounding semantic representations in intelligent service robots

IEEE International Conference on Intelligent Robots and Systems

2014 | conference-paper

An interactive open-ended learning approach for 3D object recognition

2014 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2014

2014 | conference-paper

Bidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task

Biomedical Signal Processing and Control

2014 | journal-article

Blind detection of cyclostacionary signals taking advantage of cyclic spectrum leakage

European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuMIC 2014: 9th European Microwave Integrated Circuits Conference

2014 | conference-paper

Blind detection of cyclostacionary signals taking advantage of cyclic spectrum leakage

European Microwave Week 2014: Connecting the Future, EuMW 2014 - Conference Proceedings; EuMC 2014: 44th European Microwave Conference

2014 | conference-paper

EEG study on affective valence elicited by novel and familiar pictures using ERD/ERS and SVM-RFE

Medical and Biological Engineering and Computing

2014 | journal-article

Grounding language in perception for scene conceptualization in autonomous robots

AAAI Spring Symposium - Technical Report

2014 | conference-paper

Interactive teaching and experience extraction for learning about objects and robot activities

IEEE RO-MAN 2014 - 23rd IEEE International Symposium on Robot and Human Interactive Communication: Human-Robot Co-Existence: Adaptive Interfaces and Systems for Daily Life, Therapy, Assistance and Socially Engaging Interactions

2014 | conference-paper

Physarum Learner: A bio-inspired way of learning structure from data

Expert Systems with Applications

2014 | journal-article

Wideband spectrum sensing for Cognitive Radio

European Signal Processing Conference

2014 | conference-paper

A logistic non-negative matrix factorization approach to binary data sets

Multidimensional Systems and Signal Processing

2013 | journal-article

A new physarum learner for network structure learning from biomedical data

BIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

2013 | conference-paper

An ontology-based multi-level robot architecture for learning from experiences

AAAI Spring Symposium - Technical Report

2013 | conference-paper

Application of SVM-RFE on EEG signals for detecting the most relevant scalp regions linked to affective valence processing

Expert Systems with Applications

2013 | journal-article

Feature extraction and classification of biosignals: Emotion valence detection from EEG signals

BIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

2013 | conference-paper

Individual EEG differences in affective valence processing in women with low and high neuroticism

Clinical Neurophysiology

2013 | journal-article

Sliding empirical mode decomposition-brain status data analysis and modeling

Studies in Computational Intelligence

2013 | book

Spectral turbulence measuring as feature extraction method from EEG on affective computing

Biomedical Signal Processing and Control

2013 | journal-article

Visual detection of vehicles using a bag-of-features approach

Proceedings of the 2013 13th International Conference on Autonomous Robot Systems, ROBOTICA 2013

2013 | conference-paper

Weighted sliding empirical mode decomposition for online analysis of biomedical time series

Neural Processing Letters

2013 | journal-article

Brain connectivity analysis: A short survey

Computational Intelligence and Neuroscience

2012 | journal-article

Brain status data analysis by sliding EMD

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2011 | book

Singular spectrum analysis for an automated solvent artifact removal and baseline correction of 1D NMR spectra

Journal of Magnetic Resonance

2011 | journal-article

Sliding empirical mode decomposition for on-line analysis of biomedical time series

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2011 | book

Unsupervised feature extraction via kernel subspace techniques

Neurocomputing

2011 | journal-article

SSA of biomedical signals: A linear invariant systems approach

Statistics and Its Interface

2010 | journal-article

Advances in EEG-based biometry

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010 | book

Automated solvent artifact removal and base plane correction of multidimensional NMR protein spectra by AUREMOL-SSA

Journal of Biomolecular NMR

2010 | journal-article

Brain status data analyzed by empirical mode decomposition

Proceedings of the International Joint Conference on Neural Networks

2010 | conference-paper

Clustering evoked potential signals using subspace methods

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

2010 | conference-paper

Clustering evoked potential signals using subspace methods.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

2010 | journal-article

Empirical mode decomposition - An introduction

Proceedings of the International Joint Conference on Neural Networks

2010 | conference-paper

Exploratory matrix factorization for PET image analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010 | book

Exploratory matrix factorization for PET image analysis.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

2010 | journal-article

Machine learning techniques to identify marker genes for diagnostic classification of microarrays

Machine Learning Research Progress

2010 | book

Person identification using VEP signals and SVM classifiers

Proceedings of the International Joint Conference on Neural Networks

2010 | conference-paper

Sliding empirical mode decomposition

Proceedings of the International Joint Conference on Neural Networks

2010 | conference-paper

Spatiotemporal ICA applied to retinotopic fMRI data

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

2010 | conference-paper

Spatiotemporal ICA applied to retinotopic fMRI data.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

2010 | journal-article

A matrix factorization classifier for knowledge-based microarray analysis

Advances in Soft Computing

2009 | book

Automatic generation of biped walk behavior using genetic algorithms

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

Feature extraction using linear and non-linear subspace techniques

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

How to apply nonlinear subspace techniques to univariate biomedical time series

IEEE Transactions on Instrumentation and Measurement

2009 | journal-article

Minimum determinant constraint for non-negative matrix factorization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

Serial evolution

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

Comparison of unsupervised and supervised gene selection methods

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

2008 | conference-paper

Comparison of unsupervised and supervised gene selection methods.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

2008 | journal-article

Feature extraction using low-rank approximations of the kernel matrix

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2008 | book

Hybridizing sparse component analysis with genetic algorithms for microarray analysis

Neurocomputing

2008 | journal-article

ICA analysis of retina images for glaucoma classification

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

2008 | conference-paper

ICA analysis of retina images for glaucoma classification.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

2008 | journal-article

KPCA denoising and the pre-image problem revisited

Digital Signal Processing: A Review Journal

2008 | journal-article

Knowledge-based gene expression classification via matrix factorization

Bioinformatics

2008 | journal-article

Spatiotemporal group ICA applied to fMRI datasets

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

2008 | conference-paper

Spatiotemporal group ICA applied to fMRI datasets.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

2008 | journal-article

Subspace techniques to remove artifacts from EEG: A quantitative analysis

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

2008 | conference-paper

Subspace techniques to remove artifacts from EEG: a quantitative analysis.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

2008 | journal-article

Blind matrix decomposition techniques to identify marker genes from microarrays

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2007 | book

Blind matrix decomposition via genetic optimization of sparseness and nonnegativity constraints

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2007 | book

Exploiting blind matrix decomposition techniques to identify diagnostic marker genes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2007 | book

Exploiting low-rank approximations of kernel matrices in denoising applications

Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP

2007 | conference-paper

Exploring matrix factorization techniques for classification of gene expression profiles

2007 IEEE International Symposium on Intelligent Signal Processing, WISP

2007 | conference-paper

Greedy KPCA in biomedical signal processing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2007 | book

Greedy kernel PCA applied to single-channel EEG recordings

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

2007 | conference-paper

Greedy kernel PCA applied to single-channel EEG recordings.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

2007 | journal-article

How to extract marker genes from microarray data sets.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

2007 | journal-article

On the use of KPCA to extract artifacts in one-dimensional biomedical signals

Proceedings of the 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, MLSP 2006

2007 | conference-paper

Routes to identify marker genes for microarray classification

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

2007 | conference-paper

Single-channel electroencephalogram analysis using non-linear subspace techniques

2007 IEEE International Symposium on Intelligent Signal Processing, WISP

2007 | conference-paper

Sparse nonnegative matrix factorization with genetic algorithms for microarray analysis

IEEE International Conference on Neural Networks - Conference Proceedings

2007 | conference-paper

Analyzing gene expression profiles with ICA

Proceedings of the Fourth IASTED International Conference on Biomedical Engineering

2006 | conference-paper

Automatic removal of high-amplitude artefacts from single-channel electroencephalograms

Computer Methods and Programs in Biomedicine

2006 | journal-article

Denoising using local projective subspace methods

Neurocomputing

2006 | journal-article

Extraction and separation of high-amplitude artifacts in electroencephalograms from epileptic patients

Proceedings of the Fourth IASTED International Conference on Biomedical Engineering

2006 | conference-paper

Nonlinear projective techniques to extract artifacts in biomedical signals

European Signal Processing Conference

2006 | conference-paper

On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation

IEEE Transactions on Biomedical Engineering

2006 | journal-article

Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils

Neurocomputing

2006 | journal-article

Sparse nonnegative matrix factorization applied to microarray data sets

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2006 | book

The generalized eigendecomposition approach to the blind source separation problem

Digital Signal Processing: A Review Journal

2006 | journal-article

A hybridization of simulated annealing and local PCA for automatic component assignment within ICA

Lecture Notes in Computer Science

2005 | conference-paper

An algorithm for automatic assignment of artifact-related independent components in biomedical signal analysis

Proceedings of the International Joint Conference on Neural Networks

2005 | conference-paper

AutoAssign - An automatic assignment tool for independent components

Lecture Notes in Computer Science

2005 | conference-paper

DAMUSE - A new tool for denoising and blind source separation

Digital Signal Processing: A Review Journal

2005 | journal-article

Hybridizing sparse component analysis with genetic algorithms for blind source separation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2005 | book

On the use of clustering and local singular spectrum analysis to remove ocular artifacts from electroencephalograms

Proceedings of the International Joint Conference on Neural Networks

2005 | conference-paper

Blind source separation using time-delayed signals

IEEE International Conference on Neural Networks - Conference Proceedings

2004 | conference-paper

Delayed AMUSE - A tool for blind source separation and denoising

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2004 | book

Denoising using local ICA and Kernel-PCA

IEEE International Conference on Neural Networks - Conference Proceedings

2004 | conference-paper

Denoising using local ICA and a generalized eigendecomposition with time-delayed signals

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2004 | book

Kernel-PCA denoising of artifact-free protein NMR spectra

IEEE International Conference on Neural Networks - Conference Proceedings

2004 | conference-paper

The analysis of heart rate variability using independent component signals

Proceedings of the IASTED International Conference on Biomedical Engineering

2004 | conference-paper

A generalized eigendecomposition approach using matrix pencils to remove artefacts from 2D NMR spectra

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2003 | book

Approximate diagonalization approach to blind source separation with a subset of matrices

Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003

2003 | conference-paper

Removing water artefacts from 2D protein NMR spectra using GEVD with congruent matrix pencils

Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003

2003 | conference-paper

On-line source separation of temporally correlated signals

European Signal Processing Conference

2002 | conference-paper

Providing an environment to teach DSP algorithms

Proceedings of 2002 IEEE 10th Digital Signal Processing Workshop, DSP 2002 and 2nd Signal Processing Education Workshop, SPE 2002

2002 | conference-paper

Blind Source Separation using a matrix pencil

Proceedings of the International Joint Conference on Neural Networks

2000 | conference-paper

On the use of backward adaptation in a perceptual audio coder

IEEE Transactions on Speech and Audio Processing

2000 | journal-article

Generalized eigen-decomposition approach to blind source problems

Proceedings of the International Joint Conference on Neural Networks

1999 | conference-paper

Method to extract articulatory parameters from the speech signal using neural networks

International Conference on Digital Signal Processing, DSP

1997 | conference-paper

Practical course on real-time signal processing using C-50

Proceedings - Frontiers in Education Conference

1997 | conference-paper

Quantifying the objective quality of voxel based data visualizations produced by a ray caster: A proposal

Proceedings of the Information Visualization Conference

1997 | conference-paper

Visualization and storage of biological signals in neurophysiology laboratory

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

1997 | conference-paper

Teaching the Theory of Signals and Systems a proposal for a curriculum

ASEE Annual Conference Proceedings

1996 | conference-paper

Automated analysis of EEG: A new approach

Proceedings of the Annual Conference on Engineering in Medicine and Biology

1993 | conference-paper

Information processing models for sleep staging

Expert Systems With Applications

1993 | journal-article

Sleep data integration and analysis an object oriented approach

Proceedings of the Annual Conference on Engineering in Medicine and Biology

1993 | conference-paper

Information processing models for automatic sleep scoring

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

1989 | conference-paper

Performance and training strategies in feedforward neural networks: An application to sleep scoring

1989 | conference-paper

HIDRA: A HIERARCHICAL INSTRUMENT FOR DISTRIBUTED REAL-TIME ANALYSIS OF BIOLOGICAL SIGNALS.

IEEE Transactions on Biomedical Engineering

1988 | journal-article

HIDRA: a hierarchical instrument for distributed real-time analysis of biological signals.

1987 | journal-article

MULTI-PROCESSOR ELECTROENCEPHALOGRAM (EEG) ANALYZER.

1983 | conference-paper