Bart De Moor

According to our database1, Bart De Moor
  • authored at least 269 papers between 1988 and 2017.
  • has a "Dijkstra number"2 of four.

Awards

IEEE Fellow

IEEE Fellow 2004, "For contributions to algebraic and numerical methods for systems and control.".

Timeline

Legend:

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PhD thesis 
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Homepages:

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Bibliography

2017
A Time Series Distance Measure for Efficient Clustering of Input/Output Signals by Their Underlying Dynamics.
IEEE Control Systems Letters, 2017

A time series distance measure for efficient clustering of input output signals by their underlying dynamics.
CoRR, 2017

2015
A robust ensemble approach to learn from positive and unlabeled data using SVM base models.
Neurocomputing, 2015

Building Classifiers to Predict the Start of Glucose-Lowering Pharmacotherapy Using Belgian Health Expenditure Data.
CoRR, 2015

Hyperparameter Search in Machine Learning.
CoRR, 2015

Assessing binary classifiers using only positive and unlabeled data.
CoRR, 2015

Problems with the nested granularity of feature domains in bioinformatics: the eXtasy case.
BMC Bioinformatics, 2015

A Note on the Evaluation of Mutation Prioritization Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

A SVD approach to multivariate polynomial optimization problems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Maximum Likelihood Estimation ofGEVD: Applications in Bioinformatics.
IEEE/ACM Trans. Comput. Biology Bioinform., 2014

The Canonical Decomposition of Cnd and Numerical Gröbner and Border Bases.
SIAM J. Matrix Analysis Applications, 2014

EnsembleSVM: a library for ensemble learning using support vector machines.
Journal of Machine Learning Research, 2014

A fast recursive orthogonalization scheme for the Macaulay matrix.
J. Computational Applied Mathematics, 2014

Incremental kernel spectral clustering for online learning of non-stationary data.
Neurocomputing, 2014

EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines.
CoRR, 2014

Fast Prediction with SVM Models Containing RBF Kernels.
CoRR, 2014

A Robust Ensemble Approach to Learn From Positive and Unlabeled Data Using SVM Base Models.
CoRR, 2014

Easy Hyperparameter Search Using Optunity.
CoRR, 2014

Predicting breast cancer using an expression values weighted clinical classifier.
BMC Bioinformatics, 2014

New Bandwidth Selection Criterion for Kernel PCA: Approach to Dimensionality Reduction and Classification Problems.
BMC Bioinformatics, 2014

Gene interaction networks boost genetic algorithm performance in biomarker discovery.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

A Self-Tuning Genetic Algorithm with Applications in Biomarker Discovery.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Multiview Partitioning via Tensor Methods.
IEEE Trans. Knowl. Data Eng., 2013

Identification of a Noninsulated Distillation Column From Transient Response Data.
IEEE Trans. Instrumentation and Measurement, 2013

The Geometry of Multivariate Polynomial Division and Elimination.
SIAM J. Matrix Analysis Applications, 2013

Derivative estimation with local polynomial fitting.
Journal of Machine Learning Research, 2013

Multi-view spectral clustering and its chemical application.
I. J. Computational Biology and Drug Design, 2013

A Hybrid Approach to Feature Ranking for Microarray Data Classification.
Proceedings of the Engineering Applications of Neural Networks, 2013

A Genetic Algorithm for Pancreatic Cancer Diagnosis.
Proceedings of the Engineering Applications of Neural Networks, 2013

eXtasy simplified-towards opening the black box.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Optimal and hierarchical clustering of large-scale hybrid networks for scientific mapping.
Scientometrics, 2012

Confidence bands for least squares support vector machine classifiers: A regression approach.
Pattern Recognition, 2012

Optimized Data Fusion for Kernel k-Means Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

A bioinformatics e-dating story: computational prediction and prioritization of receptor-ligand pairs.
BMC Bioinformatics, 2012

ReLiance: a machine learning and literature-based prioritization of receptor - ligand pairings.
Bioinformatics, 2012

An unbiased evaluation of gene prioritization tools.
Bioinformatics, 2012

Improved modeling of clinical data with kernel methods.
Artificial Intelligence in Medicine, 2012

Towards Better Prioritization of Epigenetically Modified DNA Regions.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012

A Simple Genetic Algorithm for Biomarker Mining.
Proceedings of the Pattern Recognition in Bioinformatics, 2012

Robustness of kernel based regression: Influence and weight functions.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Joint Regression and Linear Combination of Time Series for Optimal Prediction.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Weighted/Structured Total Least Squares problems and polynomial system solving.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Deconvolution in nonparametric statistics.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

maximum likelihood estimation and polynomial system solving.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Model Predictive Control applied to a river system with two reaches.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Kernel-based Data Fusion for Machine Learning - Methods and Applications in Bioinformatics and Text Mining
Studies in Computational Intelligence 345, Springer, ISBN: 978-3-642-19405-4, 2011

Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression.
IEEE Trans. Neural Networks, 2011

Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data.
IEEE Signal Process. Lett., 2011

Hybrid clustering of multi-view data via Tucker-2 model and its application.
Scientometrics, 2011

Kernel Regression in the Presence of Correlated Errors.
Journal of Machine Learning Research, 2011

Predicting Receptor-Ligand Pairs through Kernel Learning.
BMC Bioinformatics, 2011

Optimized data fusion for K-means Laplacian clustering.
Bioinformatics, 2011

A guide to web tools to prioritize candidate genes.
Briefings in Bioinformatics, 2011

Assimilation of ozone measurements in the air quality model AURORA by using the Ensemble Kalman Filter.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database.
JASIST, 2010

On efficient computation of low-complexity controlled invariant sets for uncertain linear systems.
Int. J. Control, 2010

Optimized fixed-size kernel models for large data sets.
Computational Statistics & Data Analysis, 2010

An automatic initialization procedure in parameter estimation problems with parameter-affine dynamic models.
Computers & Chemical Engineering, 2010

Gene prioritization and clustering by multi-view text mining.
BMC Bioinformatics, 2010

L2-norm multiple kernel learning and its application to biomedical data fusion.
BMC Bioinformatics, 2010

Candidate gene prioritization by network analysis of differential expression using machine learning approaches.
BMC Bioinformatics, 2010

Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

Hybrid Clustering of Multiple Information Sources via HOSVD.
Proceedings of the Advances in Neural Networks, 2010

Polynomial componentwise LS-SVM: Fast variable selection using low rank updates.
Proceedings of the International Joint Conference on Neural Networks, 2010

Nuclear norm regularization for overparametrized Hammerstein systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Linear parametric noise models for Least Squares Support Vector Machines.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Flood control of rivers with nonlinear model predictive control and moving horizon estimation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Reduction of the computational burden of POD models with polynomial nonlinearities.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study.
Proceedings of the Computational Intelligence and Bioengineering, 2009

Least conservative support and tolerance tubes.
IEEE Trans. Information Theory, 2009

Positive Polynomial Constraints for POD-based Model Predictive Controllers.
IEEE Trans. Automat. Contr., 2009

Hybrid clustering for validation and improvement of subject-classification schemes.
Inf. Process. Manage., 2009

ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules.
BMC Bioinformatics, 2009

An experimental loop design for the detection of constitutional chromosomal aberrations by array CGH.
BMC Bioinformatics, 2009

ViTraM: visualization of transcriptional modules.
Bioinformatics, 2009

Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
Proceedings of the SIAM International Conference on Data Mining, 2009

Supervised Classification of Array CGH Data with HMM-Based Feature Selection.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

Layout and Post-Processing of Transcriptional Modules.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis.
Proceedings of the ICDM Workshops 2009, 2009

Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.
Proceedings of the Artificial Neural Networks, 2009

Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering.
Proceedings of the Artificial Neural Networks, 2009

A structure exploiting interior-point method for moving horizon estimation.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Robustness analysis for Least Squares kernel based regression: an optimization approach.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A convex approximation for parameter estimation involving parameter-affine dynamic models.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Equivalence of state representations for hidden Markov models.
Systems & Control Letters, 2008

A hybrid mapping of information science.
Scientometrics, 2008

Low rank updated LS-SVM classifiers for fast variable selection.
Neural Networks, 2008

ENDEAVOUR update: a web resource for gene prioritization in multiple species.
Nucleic Acids Research, 2008

On material transfer agreements and visibility of researchers in biotechnology.
J. Informetrics, 2008

Multiple-vector user profiles in support of knowledge sharing.
Inf. Sci., 2008

Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data.
Artificial Life, 2008

Discrete wavelet transform-based multivariate exploration of tissue via imaging mass spectrometry.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Integration of Microarray and Textual Data Improves the Prognosis Prediction of Breast, Lung, and Ovarian Cancer Patients.
Proceedings of the Biocomputing 2008, 2008

Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer.
Proceedings of the Biocomputing 2008, 2008

Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining.
Proceedings of the ECCB'08 Proceedings, 2008

A nonlinear least squares estimation procedure without initial parameter guesses.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Algorithm for reducing the number of constraints of POD-based predictive controllers.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
A Convex Approach to Validation-Based Learning of the Regularization Constant.
IEEE Trans. Neural Networks, 2007

Do material transfer agreements affect the choice of research agendas? The case of biotechnology in Belgium.
Scientometrics, 2007

Efficiently updating and tracking the dominant kernel principal components.
Neural Networks, 2007

Margin based Transductive Graph Cuts using Linear Programming.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Kalman filtering with constrained output injection.
Int. J. Control, 2007

Support and Quantile Tubes
CoRR, 2007

Geometric Analogue of Holographic Reduced Representation
CoRR, 2007

CALIB: a Bioconductor package for estimating absolute expression levels from two-color microarray data.
Bioinformatics, 2007

Query-driven module discovery in microarray data.
Bioinformatics, 2007

Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough.
Automatica, 2007

Unbiased minimum-variance input and state estimation for linear discrete-time systems.
Automatica, 2007

Prospective Exploration of Biochemical Tissue Composition via Imaging Mass Spectrometry Guided by Principal Component Analysis.
Proceedings of the Biocomputing 2007, 2007

A Risk Minimization Principle for a Class of Parzen Estimators.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Variable selection by rank-one updates for least squares support vector machines.
Proceedings of the International Joint Conference on Neural Networks, 2007

State-of-the-Art and Evolution in Public Data Sets and Competitions for System Identification, Time Series Prediction and Pattern Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2007

Convex optimization for the design of learning machines.
Proceedings of the ESANN 2007, 2007

A new approach for the identification of hidden Markov models.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

A mutual information based distance for multivariate Gaussian processes.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

POD-based predictive controller with temperature constraints for a tubular reactor.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Comments on: "Efficient robust constrained model predictive control with a time varying terminal constraint set" by Wan and Kothare.
Systems & Control Letters, 2006

Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods.
Machine Learning, 2006

Towards mapping library and information science.
Inf. Process. Manage., 2006

On Geometric Algebra representation of Binary Spatter Codes
CoRR, 2006

Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting.
Comput. Manag. Science, 2006

More robust detection of motifs in coexpressed genes by using phylogenetic information.
BMC Bioinformatics, 2006

SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms.
BMC Bioinformatics, 2006

A calibration method for estimating absolute expression levels from microarray data.
Bioinformatics, 2006

KSinBIT 2006 PC Co-chairs' Message.
Proceedings of the On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops, 2006

Ontology Guided Data Integration for Computational Prioritization of Disease Genes.
Proceedings of the On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops, 2006

Interpreting Gene Profiles from Biomedical Literature Mining with Self Organizing Maps.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Region-Based Statistical Background Modeling for Foreground Object Segmentation.
Proceedings of the International Conference on Image Processing, 2006

2005
A prewhitening-induced bound on the identification error in independent component analysis.
IEEE Trans. on Circuits and Systems, 2005

Application of structured total least squares for system identification and model reduction.
IEEE Trans. Automat. Contr., 2005

Subspace identification of Hammerstein systems using least squares support vector machines.
IEEE Trans. Automat. Contr., 2005

Kernel based partially linear models and nonlinear identification.
IEEE Trans. Automat. Contr., 2005

A note on persistency of excitation.
Systems & Control Letters, 2005

Min-max feedback MPC using a time-varying terminal constraint set and comments on "Efficient robust constrained model predictive control with a time-varying terminal constraint set".
Systems & Control Letters, 2005

Primal-Dual Monotone Kernel Regression.
Neural Processing Letters, 2005

Handling missing values in support vector machine classifiers.
Neural Networks, 2005

TOUCAN 2: the all-inclusive open source workbench for regulatory sequence analysis.
Nucleic Acids Research, 2005

Combining full text and bibliometric information in mapping scientific disciplines.
Inf. Process. Manage., 2005

Building sparse representations and structure determination on LS-SVM substrates.
Neurocomputing, 2005

The differogram: Non-parametric noise variance estimation and its use for model selection.
Neurocomputing, 2005

Subset based least squares subspace regression in RKHS.
Neurocomputing, 2005

Componentwise Least Squares Support Vector Machines
CoRR, 2005

arrayCGHbase: an analysis platform for comparative genomic hybridization microarrays.
BMC Bioinformatics, 2005

M@CBETH: a microarray classification benchmarking tool.
Bioinformatics, 2005

BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis.
Bioinformatics, 2005

Constrained linear MPC with time-varying terminal cost using convex combinations.
Automatica, 2005

Algorithms for deterministic balanced subspace identification.
Automatica, 2005

Linear dynamic filtering with noisy input and output.
Automatica, 2005

Identification of MIMO Hammerstein models using least squares support vector machines.
Automatica, 2005

Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data.
Proceedings of the Biocomputing 2005, 2005

Load Forecasting Using Fixed-Size Least Squares Support Vector Machines.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Componentwise Support Vector Machines for Structure Detection.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

M@CBETH: Optimizing Clinical Microarray Classification.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

2004
Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition.
SIAM J. Matrix Analysis Applications, 2004

Benchmarking Least Squares Support Vector Machine Classifiers.
Machine Learning, 2004

On homogeneous least-squares problems and the inconsistency introduced by mis-constraining.
Computational Statistics & Data Analysis, 2004

Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction.
Bioinformatics, 2004

Importing MAGE-ML format microarray data into BioConductor.
Bioinformatics, 2004

A genetic algorithm for the detection of new cis-regulatory modules in sets of coregulated genes.
Bioinformatics, 2004

Using literature and data to learn Bayesian networks as clinical models of ovarian tumors.
Artificial Intelligence in Medicine, 2004

Learning from General Label Constraints.
Proceedings of the Structural, 2004

Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Nonparametric regularized time delay estimation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Sparse LS-SVMs using additive regularization with a penalized validation criterion.
Proceedings of the ESANN 2004, 2004

2003
A support vector machine formulation to PCA analysis and its kernel version.
IEEE Trans. Neural Networks, 2003

A formant filtered physical model for wind instruments.
IEEE Trans. Speech and Audio Processing, 2003

Identification of positive real models in subspace identification by using regularization.
IEEE Trans. Automat. Contr., 2003

Constraints in channel shortening equalizer design for DMT-based systems.
Signal Processing, 2003

On a cepstral norm for an ARMA model and the polar plot of the logarithm of its transfer function.
Signal Processing, 2003

Meta-clustering of gene expression data and literature-based information.
SIGKDD Explorations, 2003

A QR-type reduction for computing the SVD of a general matrix product/quotient.
Numerische Mathematik, 2003

INCLUSive: a web portal and service registry for microarray and regulatory sequence analysis.
Nucleic Acids Research, 2003

Soccer and Data Mining.
Int. J. Comp. Sci. Sport, 2003

Bioinformatics: Organisms from Venus, Technology from Jupiter, Algorithms from Mars.
Eur. J. Control, 2003

MARAN: Normalizing Micro-array Data.
Bioinformatics, 2003

Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection.
Artificial Intelligence in Medicine, 2003

Text-Based Gene Profiling with Domain-Specific Views.
Proceedings of SWDB'03, 2003

Evaluation of the Vector Space Representation in Text-Based Gene Clustering.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Variogram based noise variance estimation and its use in kernel based regression.
Proceedings of the NNSP 2003, 2003

The Role of User Profiles in Vector-Based Information Retrieval.
Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23, 2003

Real-Time Acoustics Simulation using Mesh-Tracing.
Proceedings of the 2003 International Computer Music Conference, 2003

Non-linear guitar body models.
Proceedings of the 2003 International Computer Music Conference, 2003

Kernel PLS variants for regression.
Proceedings of the ESANN 2003, 2003

Biclustering microarray data by Gibbs sampling.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003

Computational detection of cis-regulatory modules.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003

Bankruptcy prediction with least squares support vector machine classifiers.
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

2002
The QR Decomposition and the Singular Value Decomposition in the Symmetrized Max-Plus Algebra Revisited.
SIAM Review, 2002

Subspace angles between ARMA models.
Systems & Control Letters, 2002

Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes.
Neural Processing Letters, 2002

The structured total least-squares approach for non-linearly structured matrices.
Numerical Lin. Alg. with Applic., 2002

Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis.
Neural Computation, 2002

A Gibbs Sampling Method to Detect Overrepresented Motifs in the Upstream Regions of Coexpressed Genes.
Journal of Computational Biology, 2002

Intelligence and Cooperative Search by Coupled Local Minimizers
CoRR, 2002

INCLUSive: INtegrated Clustering, Upstream sequence retrieval and motif Sampling.
Bioinformatics, 2002

Adaptive quality-based clustering of gene expression profiles.
Bioinformatics, 2002

Measurement of guitar string coupling.
Proceedings of the 2002 International Computer Music Conference, 2002

Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models.
Proceedings of the Artificial Neural Networks, 2002

On the blind separation of non-circular sources.
Proceedings of the 11th European Signal Processing Conference, 2002

Web-based Data Collection for Uterine Adnexal Tumors: A Case Study.
Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002

2001
Independent component analysis and (simultaneous) third-order tensor diagonalization.
IEEE Trans. Signal Processing, 2001

Financial time series prediction using least squares support vector machines within the evidence framework.
IEEE Trans. Neural Networks, 2001

Identification of stable models in subspace identification by using regularization.
IEEE Trans. Automat. Contr., 2001

IQML-like algorithms for solving structured total least squares problems: a unified view.
Signal Processing, 2001

Optimal control by least squares support vector machines.
Neural Networks, 2001

Improved Long-Term Temperature Prediction by Chaining of Neural Networks.
Int. J. Neural Syst., 2001

Knowledge discovery in a direct marketing case using least squares support vector machines.
Int. J. Intell. Syst., 2001

Intelligence and Cooperative Search by Coupled Local Minimizers.
I. J. Bifurcation and Chaos, 2001

On Frequency Weighted Balanced Truncation: Hankel Singular Values and Error Bounds.
Eur. J. Control, 2001

A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling.
Bioinformatics, 2001

Misfit versus latency.
Automatica, 2001

A Gibbs sampling method to detect over-represented motifs in the upstream regions of co-expressed genes.
Proceedings of the Fifth Annual International Conference on Computational Biology, 2001

Subband HTLS.
Proceedings of the 2001 International Computer Music Conference, 2001

Parameter estimation for dual-polarization plucked string models.
Proceedings of the 2001 International Computer Music Conference, 2001

Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines.
Proceedings of the Artificial Neural Networks, 2001

Automatic relevance determination for Least Squares Support Vector Machines classifiers.
Proceedings of the ESANN 2001, 2001

Annotated Bayesian Networks: A Tool to Integrate Textual and Probabilistic Medical Knowledge.
Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001

Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors.
Proceedings of the Artificial Intelligence Medicine, 2001

2000
Robust local stability of multilayer recurrent neural networks.
IEEE Trans. Neural Netw. Learning Syst., 2000

Fetal electrocardiogram extraction by blind source subspace separation.
IEEE Trans. Biomed. Engineering, 2000

On the Best Rank-1 and Rank-(R1 , R2, ... , RN) Approximation of Higher-Order Tensors.
SIAM J. Matrix Analysis Applications, 2000

A Multilinear Singular Value Decomposition.
SIAM J. Matrix Analysis Applications, 2000

On the Computation of the Restricted Singular Value Decomposition via the Cosine-Sine Decomposition.
SIAM J. Matrix Analysis Applications, 2000

An algebraic approach to the blind identification of paraunitary filters.
Proceedings of the 2000 IEEE Wireless Communications and Networking Conference, 2000

Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

An empirical assessment of kernel type performance for least squares support vector machine classifiers.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

SVD-based methodologies for fetal electrocardiogram extraction.
Proceedings of the IEEE International Conference on Acoustics, 2000

An algebraic ICA algorithm for 3 sources and 2 sensors.
Proceedings of the 10th European Signal Processing Conference, 2000

Blind MIMO system identification based on cross-polyspectra.
Proceedings of the 10th European Signal Processing Conference, 2000

Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations.
Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS 2000), 2000

1999
Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity.
IEEE Trans. Automat. Contr., 1999

Subspace identification of bilinear systems subject to white inputs.
IEEE Trans. Automat. Contr., 1999

On the Sequence of Consecutive Powers of a Matrix in a Boolean Algebra.
SIAM J. Matrix Analysis Applications, 1999

Statistical division based modeling for multimedia network traffic.
Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999

Information measure based stochastic system identification of ATM network traffic.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Application of NLq Neural Control Theory to a Ball and Beam System.
Eur. J. Control, 1998

Optimal Traffic Light Control for a Single Intersection.
Eur. J. Control, 1998

Stochastic system identification for ATM network traffic models: A time domain approach.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
NLq theory: checking and imposing stability of recurrent neural networks for nonlinear modeling.
IEEE Trans. Signal Processing, 1997

NLq Theory: A Neural Control Framework with Global Asymptotic Stability Criteria.
Neural Networks, 1997

A subspace algorithm for the identification of discrete time frequency domain power spectra.
Automatica, 1997

Generalized Linear Complementary Problems and the Analysis of Continuously Variable Systems and Discrete Event Systems.
Proceedings of the Hybrid and Real-Time Systems, 1997

The Extended Linear Complementary Problem and the Modeling and Analysis of Hybrid Systems.
Proceedings of the Hybrid Systems V, 1997

1996
On the equivalence of constrained total least squares and structured total least squares.
IEEE Trans. Signal Processing, 1996

Continuous-time frequency domain subspace system identification.
Signal Processing, 1996

Modelling the Belgian Gas Consumption Using Neural Networks.
Neural Processing Letters, 1996

A method to find all solutions of a system of multivariate polynomial equalities and inequalities in the max algebra.
Discrete Event Dynamic Systems, 1996

Structured total least squares methods in signal processing.
Proceedings of the 8th European Signal Processing Conference, 1996

Blind source separation by simultaneous third-order tensor diagonalization.
Proceedings of the 8th European Signal Processing Conference, 1996

Artificial neural networks for modelling and control of non-linear systems.
Kluwer, ISBN: 978-0-7923-9678-9, 1996

1995
The extended linear complementarity problem.
Math. Program., 1995

Choice of state-space basis in combined deterministic-stochastic subspace identification.
Automatica, 1995

A unifying theorem for three subspace system identification algorithms.
Automatica, 1995

Parameter identification of induction motor drives.
Automatica, 1995

NLq theory: unifications in the theory of neural networks, systems and control.
Proceedings of the ESANN 1995, 1995

1994
Total least squares for affinely structured matrices and the noisy realization problem.
IEEE Trans. Signal Processing, 1994

Robustness analysis and control system design for a hydraulic servo system.
IEEE Trans. Contr. Sys. Techn., 1994

Static and dynamic stabilizing neural controllers, applicable to transition between equilibrium points.
Neural Networks, 1994

N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems.
Automatica, 1994

L2-overbiased, L2-underbiased and L2-unbiased estimation of transfer functions.
Automatica, 1994

1993
The singular value decomposition and long and short spaces of noisy matrices.
IEEE Trans. Signal Processing, 1993

Subspace algorithms for the stochastic identification problem, .
Automatica, 1993

1992
The generalized linear complementarity problem and an algorithm to find all its solutions.
Math. Program., 1992

1991
Generalizations of the singular value and QR decompositions.
Signal Processing, 1991

1988
Computing all invariant states of a neural network.
Neural Networks, 1988


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