Bart De Moor
Orcid: 0000-0002-1154-5028Affiliations:
- Catholic University of Leuven, Belgium
According to our database1,
Bart De Moor
authored at least 356 papers
between 1988 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2004, "For contributions to algebraic and numerical methods for systems and control.".
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on dl.acm.org
On csauthors.net:
Bibliography
2024
The Feasibility of Semi-Continuous and Multi-Frequency Thoracic Bioimpedance Measurements by a Wearable Device during Fluid Changes in Hemodialysis Patients.
Sensors, March, 2024
Eng. Appl. Artif. Intell., 2024
Constructing Multidimensional Difference Equations From a State-Space Representation Using the Generalized Cayley-Hamilton Theorem.
IEEE Control. Syst. Lett., 2024
Exact Characterization of the Global Optima of Least Squares Realization of Autonomous LTI Models as a Multiparameter Eigenvalue Problem.
Proceedings of the European Control Conference, 2024
2023
Recursive Algorithms to Update a Numerical Basis Matrix of the Null Space of the Block Row, (Banded) Block Toeplitz, and Block Macaulay Matrix.
SIAM J. Sci. Comput., April, 2023
IEEE Trans. Smart Grid, 2023
Island Transpeciation: A Co-Evolutionary Neural Architecture Search, Applied to Country-Scale Air-Quality Forecasting.
IEEE Trans. Evol. Comput., 2023
Two Double Recursive Block Macaulay Matrix Algorithms to Solve Multiparameter Eigenvalue Problems.
IEEE Control. Syst. Lett., 2023
IEEE Control. Syst. Lett., 2023
A Framework for a Data Quality Module in Decision Support Systems: An Application with Smart Grid Time Series.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023
Proceedings of the 19th IEEE International Conference on e-Science, 2023
Multivariate Polynomial Optimization in Complex Variables Is a (Rectangular) Multiparameter Eigenvalue Problem.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy.
Comput. Methods Programs Biomed., 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2021
An automated data cleaning method for Electronic Health Records by incorporating clinical knowledge.
BMC Medical Informatics Decis. Mak., 2021
An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making.
BMC Medical Informatics Decis. Mak., 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
2020
Quality of data measurements in the big data era: Lessons learned from MIDAS project.
IEEE Instrum. Meas. Mag., 2020
CoRR, 2020
Least squares optimal realisation of autonomous LTI systems is an eigenvalue problem.
Commun. Inf. Syst., 2020
IEEE Comput. Intell. Mag., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
IEEE Control. Syst. Lett., 2019
Proceedings of the 17th European Control Conference, 2019
2018
Int. J. Control, 2018
CoRR, 2018
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
A Time Series Distance Measure for Efficient Clustering of Input/Output Signals by Their Underlying Dynamics.
IEEE Control. Syst. Lett., 2017
Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 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
Problems with the nested granularity of feature domains in bioinformatics: the eXtasy case.
BMC Bioinform., 2015
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
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
The Canonical Decomposition of <i>C</i><sup>n<sub>d</sub></sup> and Numerical Gröbner and Border Bases.
SIAM J. Matrix Anal. Appl., 2014
J. Mach. Learn. Res., 2014
J. Comput. Appl. Math., 2014
Neurocomputing, 2014
BMC Bioinform., 2014
New Bandwidth Selection Criterion for Kernel PCA: Approach to Dimensionality Reduction and Classification Problems.
BMC Bioinform., 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
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014
2013
IEEE Trans. Instrum. Meas., 2013
SIAM J. Matrix Anal. Appl., 2013
Int. J. Comput. Biol. Drug Des., 2013
Model predictive control of a pilot-scale distillation column using a programmable automation controller.
Proceedings of the 12th European Control Conference, 2013
Proceedings of the Engineering Applications of Neural Networks, 2013
Proceedings of the Engineering Applications of Neural Networks, 2013
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 Recognit., 2012
IEEE Trans. Pattern Anal. Mach. Intell., 2012
A bioinformatics e-dating story: computational prediction and prioritization of receptor-ligand pairs.
BMC Bioinform., 2012
ReLiance: a machine learning and literature-based prioritization of receptor - ligand pairings.
Bioinform., 2012
Artif. Intell. Medicine, 2012
Proceedings of the Artificial Intelligence: Theories and Applications, 2012
Proceedings of the Pattern Recognition in Bioinformatics, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
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
IEEE Signal Process. Lett., 2011
Scientometrics, 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.
J. Assoc. Inf. Sci. Technol., 2010
On efficient computation of low-complexity controlled invariant sets for uncertain linear systems.
Int. J. Control, 2010
Comput. Stat. Data Anal., 2010
An automatic initialization procedure in parameter estimation problems with parameter-affine dynamic models.
Comput. Chem. Eng., 2010
BMC Bioinform., 2010
Candidate gene prioritization by network analysis of differential expression using machine learning approaches.
BMC Bioinform., 2010
Proceedings of the Pattern Recognition in Bioinformatics, 2010
Proceedings of the Advances in Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
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
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
Proceedings of the American Control Conference, 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
IEEE Trans. Autom. Control., 2009
Inf. Process. Manag., 2009
ModuleDigger: an itemset mining framework for the detection of <i>cis</i>-regulatory modules.
BMC Bioinform., 2009
An experimental loop design for the detection of constitutional chromosomal aberrations by array CGH.
BMC Bioinform., 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009
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
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the 10th European Control Conference, 2009
Proceedings of the 10th European Control Conference, 2009
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
Syst. Control. Lett., 2008
Neural Networks, 2008
Nucleic Acids Res., 2008
J. Informetrics, 2008
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data.
Artif. 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
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
IEEE Trans. Neural Networks, 2007
Do material transfer agreements affect the choice of research agendas? The case of biotechnology in Belgium.
Scientometrics, 2007
Neural Networks, 2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
CALIB: a Bioconductor package for estimating absolute expression levels from two-color microarray data.
Bioinform., 2007
Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough.
Autom., 2007
Unbiased minimum-variance input and state estimation for linear discrete-time systems.
Autom., 2007
Prospective Exploration of Biochemical Tissue Composition via Imaging Mass Spectrometry Guided by Principal Component Analysis.
Proceedings of the Biocomputing 2007, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Mining Massive Data Sets for Security, 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
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
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
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.
Syst. Control. Lett., 2006
Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods.
Mach. Learn., 2006
Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting.
Comput. Manag. Sci., 2006
More robust detection of motifs in coexpressed genes by using phylogenetic information.
BMC Bioinform., 2006
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms.
BMC Bioinform., 2006
Bioinform., 2006
Proceedings of the Positive Systems, 2006
Proceedings of the On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops, 2006
Proceedings of the On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops, 2006
Model Predictive Control for Ramp Metering Combined with Extended Kalman Filter-Based Traffic State Estimation.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 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
Proceedings of the International Conference on Image Processing, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
Robust synthesis of constrained linear state feedback using LMIs and polyhedral invariant sets.
Proceedings of the American Control Conference, 2006
Proceedings of the American Control Conference, 2006
Proceedings of the American Control Conference, 2006
Proceedings of the American Control Conference, 2006
2005
A prewhitening-induced bound on the identification error in independent component analysis.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
Application of structured total least squares for system identification and model reduction.
IEEE Trans. Autom. Control., 2005
Subspace identification of Hammerstein systems using least squares support vector machines.
IEEE Trans. Autom. Control., 2005
IEEE Trans. Autom. Control., 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".
Syst. Control. Lett., 2005
Nucleic Acids Res., 2005
Inf. Process. Manag., 2005
Neurocomputing, 2005
The differogram: Non-parametric noise variance estimation and its use for model selection.
Neurocomputing, 2005
Commun. Inf. Syst., 2005
arrayCGHbase: an analysis platform for comparative genomic hybridization microarrays.
BMC Bioinform., 2005
BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis.
Bioinform., 2005
Autom., 2005
Identification of MIMO Hammerstein models using least squares support vector machines.
Autom., 2005
Proceedings of the Biocomputing 2005, 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 Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
Proceedings of the American Control Conference, 2005
The efficient computation of polyhedral invariant sets for linear systems with polytopic uncertainty.
Proceedings of the American Control Conference, 2005
Proceedings of the American Control Conference, 2005
Proceedings of the Data Analysis and Visualization in Genomics and Proteomics, 2005
2004
Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition.
SIAM J. Matrix Anal. Appl., 2004
On homogeneous least-squares problems and the inconsistency introduced by mis-constraining.
Comput. Stat. Data Anal., 2004
Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction.
Bioinform., 2004
A genetic algorithm for the detection of new cis-regulatory modules in sets of coregulated genes.
Bioinform., 2004
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors.
Artif. Intell. Medicine, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
Linear MPC with time-varying terminal cost using sparse convex combinations and bisection search.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
Electric potential estimation with line-of-sight measurements using basis function optimization.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
2003
IEEE Trans. Neural Networks, 2003
IEEE Trans. Speech Audio Process., 2003
Identification of positive real models in subspace identification by using regularization.
IEEE Trans. Autom. Control., 2003
Signal Process., 2003
On a cepstral norm for an ARMA model and the polar plot of the logarithm of its transfer function.
Signal Process., 2003
SIGKDD Explor., 2003
Numerische Mathematik, 2003
INCLUSive: a web portal and service registry for microarray and regulatory sequence analysis.
Nucleic Acids Res., 2003
Soccer and Data Mining.
Int. J. Comput. Sci. Sport, 2003
Eur. J. Control, 2003
Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection.
Artif. Intell. Medicine, 2003
Text-Based Gene Profiling with Domain-Specific Views.
Proceedings of SWDB'03, 2003
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003
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
Proceedings of the 2003 International Computer Music Conference, 2003
Proceedings of the 2003 International Computer Music Conference, 2003
Proceedings of the 7th European Control Conference, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 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
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
Proceedings of the American Control Conference, 2003
2002
The QR Decomposition and the Singular Value Decomposition in the Symmetrized Max-Plus Algebra Revisited.
SIAM Rev., 2002
Proc. IEEE, 2002
Neural Process. Lett., 2002
Numer. Linear Algebra Appl., 2002
Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis.
Neural Comput., 2002
A Gibbs Sampling Method to Detect Overrepresented Motifs in the Upstream Regions of Coexpressed Genes.
J. Comput. Biol., 2002
Bioinform., 2002
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
Proceedings of the 11th European Signal Processing Conference, 2002
Proceedings of the 41st IEEE Conference on Decision and Control, 2002
Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002
World Scientific, ISBN: 978-981-4487-59-7, 2002
2001
Independent component analysis and (simultaneous) third-order tensor diagonalization.
IEEE Trans. Signal Process., 2001
Financial time series prediction using least squares support vector machines within the evidence framework.
IEEE Trans. Neural Networks, 2001
IEEE Trans. Autom. Control., 2001
IQML-like algorithms for solving structured total least squares problems: a unified view.
Signal Process., 2001
Int. J. Neural Syst., 2001
Knowledge discovery in a direct marketing case using least squares support vector machines.
Int. J. Intell. Syst., 2001
Int. J. Bifurc. Chaos, 2001
Eur. J. Control, 2001
A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling.
Bioinform., 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
Proceedings of the 2001 International Computer Music Conference, 2001
Proceedings of the Artificial Neural Networks, 2001
Proceedings of the 6th European Control Conference, 2001
On frequency weighted balanced truncation: A constructive counterexample to Enns' conjecture.
Proceedings of the 6th European Control Conference, 2001
Automatic relevance determination for Least Squares Support Vector Machines classifiers.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 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
Proceedings of the American Control Conference, 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
IEEE Trans. Neural Networks Learn. Syst., 2000
IEEE Trans. Biomed. Eng., 2000
On the Best Rank-1 and Rank-(<i>R</i><sub>1</sub> , <i>R</i><sub>2</sub>, ... , <i>R<sub>N</sub></i>) Approximation of Higher-Order Tensors.
SIAM J. Matrix Anal. Appl., 2000
On the Computation of the Restricted Singular Value Decomposition via the Cosine-Sine Decomposition.
SIAM J. Matrix Anal. Appl., 2000
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
Proceedings of the IEEE International Conference on Acoustics, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
Proceedings of the 39th IEEE Conference on Decision and Control, 2000
Proceedings of the 39th IEEE Conference on Decision and Control, 2000
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. Autom. Control., 1999
IEEE Trans. Autom. Control., 1999
SIAM J. Matrix Anal. Appl., 1999
Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
Proceedings of the 5th European Control Conference, 1999
Proceedings of the 5th European Control Conference, 1999
Proceedings of the 5th European Control Conference, 1999
Proceedings of the 5th European Control Conference, 1999
1998
The QR Decomposition and the Singular Value Decomposition in the Symmetrized Max-Plus Algebra.
SIAM J. Matrix Anal. Appl., April, 1998
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
NL<sub>q</sub> theory: checking and imposing stability of recurrent neural networks for nonlinear modeling.
IEEE Trans. Signal Process., 1997
Calculation of the structured singular value with gradient-based optimization algorithms on a Lie group of structured unitary matrices.
IEEE Trans. Autom. Control., 1997
NL<sub>q</sub> 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.
Autom., 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 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 Process., 1996
Signal Process., 1996
Neural Process. Lett., 1996
A method to find all solutions of a system of multivariate polynomial equalities and inequalities in the max algebra.
Discret. Event Dyn. Syst., 1996
Proceedings of the 8th European Signal Processing Conference, 1996
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
Choice of state-space basis in combined deterministic-stochastic subspace identification.
Autom., 1995
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995
1994
SIAM J. Matrix Anal. Appl., January, 1994
Total least squares for affinely structured matrices and the noisy realization problem.
IEEE Trans. Signal Process., 1994
IEEE Trans. Control. Syst. Technol., 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.
Autom., 1994
L<sub>2</sub>-overbiased, L<sub>2</sub>-underbiased and L<sub>2</sub>-unbiased estimation of transfer functions.
Autom., 1994
1993
IEEE Trans. Signal Process., 1993
Autom., 1993
1992
SIAM J. Matrix Anal. Appl., 1992
The generalized linear complementarity problem and an algorithm to find all its solutions.
Math. Program., 1992
1991
1988
A geometrical approach for the identification of state space models with singular value decomposition.
Proceedings of the IEEE International Conference on Acoustics, 1988