Ana Maria Tomé

According to our database1, Ana Maria Tomé authored at least 109 papers between 1996 and 2020.

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

Timeline

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Bibliography

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

Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

A Graph Neural Network Framework for Causal Inference in Brain Networks.
CoRR, 2020

Study on the usage feasibility of continuous-wave radar for emotion recognition.
Biomed. Signal Process. Control., 2020

2019
Decomposing Temperature Time Series with Non-Negative Matrix Factorization.
CoRR, 2019

A constrained ICA-EMD Model for Group Level fMRI Analysis.
CoRR, 2019

Machine Learning Methods for Radar-Based People Detection and Tracking by Mobile Robots.
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

Stroke Thrombus Segmentation on SWAN with Multi-Directional U-Nets.
Proceedings of the Ninth International Conference on Image Processing Theory, 2019

Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation.
Proceedings of the International Conference on Robotics and Automation, 2019

Machine Learning Methods for Radar-Based People Detection and Tracking.
Proceedings of the Progress in Artificial Intelligence, 2019

Hybridizing EMD with cICA for fMRI Analysis of Patient Groups.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Mining EEG scalp maps of independent components related to HCT tasks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets.
Signal Process., 2018

Towards lifelong assistive robotics: A tight coupling between object perception and manipulation.
Neurocomputing, 2018

Coping with Context Change in Open-Ended Object Recognition without Explicit Context Information.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Attention and concentration in normal and deaf gamers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Does music help to be more attentive while performing a task? A brain activity analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A multi-variate blind source separation algorithm.
Comput. Methods Programs Biomed., 2017

Energy Based Clustering Method to Estimate Channel Occupation of LTE in Unlicensed Spectrum.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

Z-Images.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016
3D object perception and perceptual learning in the RACE project.
Robotics Auton. Syst., 2016

GOOD: A global orthographic object descriptor for 3D object recognition and manipulation.
Pattern Recognit. Lett., 2016

Adaptive threshold spectrum sensing based on Expectation Maximization algorithm.
Phys. Commun., 2016

Cognitive bio-radar: The natural evolution of bio-signals measurement.
J. Medical Syst., 2016

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

Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions.
Biomed. Signal Process. Control., 2016

Object Learning and Grasping Capabilities for Robotic Home Assistants.
Proceedings of the RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30, 2016

Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

An orthographic descriptor for 3D object learning and recognition.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Concurrent 3D Object Category Learning and Recognition Based on Topic Modelling and Human Feedback.
Proceedings of the 2016 International Conference on Autonomous Robot Systems and Competitions, 2016

2015
A logistic non-negative matrix factorization approach to binary data sets.
Multidimens. Syst. Signal Process., 2015

Interactive Open-Ended Learning for 3D Object Recognition: An Approach and Experiments.
J. Intell. Robotic Syst., 2015

Concurrent learning of visual codebooks and object categories in open-ended domains.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

An Adaptive Object Perception System Based on Environment Exploration and Bayesian Learning.
Proceedings of the 2015 IEEE International Conference on Autonomous Robot Systems and Competitions, 2015

Empirical mode decomposition for noninvasive atrial fibrillation dominant frequency estimation.
Proceedings of the 23rd European Signal Processing Conference, 2015

Empirical mode decomposition of multiple ECG leads for catheter ablation long-term outcome prediction in persistent atrial fibrillation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Improving Performance of Bio-radars for Remote Heartbeat and Breathing Detection by using Cyclostationary Features.
Proceedings of the BIOSIGNALS 2015, 2015

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

2014
A Bayesian approach to the Lee-Seung update rules for NMF.
Pattern Recognit. Lett., 2014

EEG study on affective valence elicited by novel and familiar pictures using ERD/ERS and SVM-RFE.
Medical Biol. Eng. Comput., 2014

A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection.
Neurocomputing, 2014

Physarum Learner: A bio-inspired way of learning structure from data.
Expert Syst. Appl., 2014

Bidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task.
Biomed. Signal Process. Control., 2014

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

Interactive teaching and experience extraction for learning about objects and robot activities.
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

Combining EMD with ICA to Analyze Combined EEG-fMRI Data.
Proceedings of the Medical Image Understanding and Analysis, 2014

A perceptual memory system for grounding semantic representations in intelligent service robots.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

An interactive open-ended learning approach for 3D object recognition.
Proceedings of the 2014 IEEE International Conference on Autonomous Robot Systems and Competitions, 2014

Wideband spectrum sensing for Cognitive Radio.
Proceedings of the 22nd European Signal Processing Conference, 2014

Grounding Language in Perception for Scene Conceptualization in Autonomous Robots.
Proceedings of the 2014 AAAI Spring Symposia, 2014

2013
Weighted Sliding Empirical Mode Decomposition for Online Analysis of Biomedical Time Series.
Neural Process. Lett., 2013

Application of SVM-RFE on EEG signals for detecting the most relevant scalp regions linked to affective valence processing.
Expert Syst. Appl., 2013

Spectral turbulence measuring as feature extraction method from EEG on affective computing.
Biomed. Signal Process. Control., 2013

Computer game engines for accessibility assessment: The IST Alameda campus case-study.
Proceedings of the IEEE 2nd International Conference on Serious Games and Applications for Health, 2013

Approach on affective valence detection from EEG signals based on global field power measure and SVM-RFE algorithm.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals.
Proceedings of the BIOSIGNALS 2013, 2013

A New Physarum Learner for Network Structure Learning from Biomedical Data.
Proceedings of the BIOSIGNALS 2013, 2013


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

2011
Unsupervised feature extraction via kernel subspace techniques.
Neurocomputing, 2011

Weighted sliding Empirical Mode Decomposition.
Adv. Data Sci. Adapt. Anal., 2011

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

Sliding Empirical Mode Decomposition for On-line Analysis of Biomedical Time Series.
Proceedings of the Advances in Computational Intelligence, 2011

2010
Empirical Mode Decomposition - an introduction.
Proceedings of the International Joint Conference on Neural Networks, 2010

Brain status data analyzed by Empirical Mode Decomposition.
Proceedings of the International Joint Conference on Neural Networks, 2010

Person identification using VEP signals and SVM classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2010

Sliding Empirical Mode Decomposition.
Proceedings of the International Joint Conference on Neural Networks, 2010

Advances in EEG-Based Biometry.
Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

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

2009
How to Apply Nonlinear Subspace Techniques to Univariate Biomedical Time Series.
IEEE Trans. Instrum. Meas., 2009

Serial Evolution.
Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009

Automatic Generation of Biped Walk Behavior Using Genetic Algorithms.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Minimum Determinant Constraint for Non-negative Matrix Factorization.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Feature Extraction Using Linear and Non-linear Subspace Techniques.
Proceedings of the Artificial Neural Networks, 2009

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

KPCA denoising and the pre-image problem revisited.
Digit. Signal Process., 2008

Knowledge-based gene expression classification via matrix factorization.
Bioinform., 2008

A Matrix Factorization Classifier for Knowledge-Based Microarray Analysis.
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008

Feature Extraction Using Low-Rank Approximations of the Kernel Matrix.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

2007
Measurability, Representation and Interpretation of Spatial Usage in Knowledge-Sharing Environments - A Descriptive Model Based on WiFi Technologies.
Proceedings of the Workshop on Behaviour Monitoring and Interpretation BMI 2007, 2007

Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2007

Greedy KPCA in Biomedical Signal Processing.
Proceedings of the Artificial Neural Networks, 2007

Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints.
Proceedings of the Artificial Neural Networks, 2007

Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes.
Proceedings of the Artificial Neural Networks, 2007

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

2006
On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation.
IEEE Trans. Biomed. Eng., 2006

Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils.
Neurocomputing, 2006

Denoising using local projective subspace methods.
Neurocomputing, 2006

The generalized eigendecomposition approach to the blind source separation problem.
Digit. Signal Process., 2006

Automatic removal of high-amplitude artefacts from single-channel electroencephalograms.
Comput. Methods Programs Biomed., 2006

Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Nonlinear projective techniques to extract artifacts in biomedical signals.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
dAMUSE - A new tool for denoising and blind source separation.
Digit. Signal Process., 2005

A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

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

AutoAssign - An Automatic Assignment Tool for Independent Components.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

2004
Delayed AMUSE - A Tool for Blind Source Separation and Denoising.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Approximate diagonalization approach to blind source separation with a subset of matrices.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Removing water artefacts from 2D protein NMR spectra using GEVD with congruent matrix pencils.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

2002
On-line source separation of temporally correlated signals.
Proceedings of the 11th European Signal Processing Conference, 2002

Separation of a mixture of signals using linear filtering and second order statistics.
Proceedings of the ESANN 2002, 2002

2000
On the use of backward adaptation in a perceptual audio coder.
IEEE Trans. Speech Audio Process., 2000

Blind Source Separation Using a Matrix Pencil.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
The generalized eigen-decomposition approach to blind source problems.
Proceedings of the International Joint Conference Neural Networks, 1999

1997
Quantifying the Objective Quality of Voxel Based Data Visualizations Produced by a Ray Caster: a proposal.
Proceedings of the First International Conference on Information Visualisation, 1997

1996
A backward-adaptive perceptual audio coder.
Proceedings of the 8th European Signal Processing Conference, 1996


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