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Bart De Moor
Person information
- affiliation: Catholic University of Leuven, Belgium
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Books and Theses
- 2011
- [b3]Shi Yu, Léon-Charles Tranchevent, Bart De Moor, Yves Moreau
:
Kernel-based Data Fusion for Machine Learning - Methods and Applications in Bioinformatics and Text Mining. Studies in Computational Intelligence 345, Springer 2011, ISBN 978-3-642-19405-4, pp. 1-208 - 2002
- [b2]Johan A. K. Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle:
Least Squares Support Vector Machines. World Scientific 2002, ISBN 978-981-238-151-4, pp. 1-308 - 1996
- [b1]Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
Artificial neural networks for modelling and control of non-linear systems. Kluwer 1996, ISBN 978-0-7923-9678-9, pp. I-XII, 1-235
Journal Articles
- 2024
- [j178]Lyse Naomi Wamba Momo
, Nyalleng Moorosi, Elaine O. Nsoesie, Frank E. Rademakers
, Bart De Moor:
Length of stay prediction for hospital management using domain adaptation. Eng. Appl. Artif. Intell. 133: 108088 (2024) - [j177]Melanie Schoutteten
, Lucas Lindeboom, Hélène De Cannière
, Zoë Pieters
, Liesbeth Bruckers
, Astrid D. H. Brys, Patrick van der Heijden
, Bart De Moor, Jacques Peeters, Chris Van Hoof, Willemijn Groenendaal, Jeroen P. Kooman, Pieter M. Vandervoort:
The Feasibility of Semi-Continuous and Multi-Frequency Thoracic Bioimpedance Measurements by a Wearable Device during Fluid Changes in Hemodialysis Patients. Sensors 24(6): 1890 (2024) - 2023
- [j176]Christof Vermeersch
, Bart De Moor
:
Two Double Recursive Block Macaulay Matrix Algorithms to Solve Multiparameter Eigenvalue Problems. IEEE Control. Syst. Lett. 7: 319-324 (2023) - [j175]Sibren Lagauw
, Oscar Mauricio Agudelo
, Bart De Moor
:
Globally Optimal SISO H2-Norm Model Reduction Using Walsh's Theorem. IEEE Control. Syst. Lett. 7: 1670-1675 (2023) - [j174]Arun Pandey
, Hannes De Meulemeester
, Bart De Moor, Johan A. K. Suykens
:
Multi-view kernel PCA for time series forecasting. Neurocomputing 554: 126639 (2023) - [j173]Christof Vermeersch
, Bart De Moor:
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. 45(2): 596- (2023) - [j172]Konstantinos Theodorakos
, Oscar Mauricio Agudelo
, Joachim Schreurs, Johan A. K. Suykens
, Bart De Moor
:
Island Transpeciation: A Co-Evolutionary Neural Architecture Search, Applied to Country-Scale Air-Quality Forecasting. IEEE Trans. Evol. Comput. 27(4): 878-892 (2023) - [j171]Lola Botman
, Jonas Soenen
, Konstantinos Theodorakos
, Aras Yurtman
, Jessa Bekker
, Koen Vanthournout
, Hendrik Blockeel
, Bart De Moor
, Jesus Lago
:
A Scalable Ensemble Approach to Forecast the Electricity Consumption of Households. IEEE Trans. Smart Grid 14(1): 757-768 (2023) - 2022
- [j170]Oliver Lauwers, Christof Vermeersch
, Bart De Moor:
Cepstral identification of autoregressive systems. Autom. 139: 110214 (2022) - [j169]Thibaut Vaulet
, Maya Al-Memar, Hanine Fourie
, Shabnam Bobdiwala
, Srdjan Saso, Maria Pipi
, Catriona Stalder, Phillip R. Bennett
, Dirk Timmerman
, Tom Bourne
, Bart De Moor:
Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy. Comput. Methods Programs Biomed. 213: 106520 (2022) - 2021
- [j168]Xi Shi, Gorana Nikolic, Gorka Epelde, Mónica Arrúe, Joseba Bidaurrazaga Van-Dierdonck, Roberto Bilbao, Bart De Moor:
An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making. BMC Medical Informatics Decis. Mak. 21(1): 222 (2021) - [j167]Xi Shi, Charlotte Prins, Gijs Van Pottelbergh
, Pavlos Mamouris, Bert Vaes
, Bart De Moor:
An automated data cleaning method for Electronic Health Records by incorporating clinical knowledge. BMC Medical Informatics Decis. Mak. 21(1): 267 (2021) - 2020
- [j166]João Pita Costa, Marko Grobelnik, Flavio Fuart, Luka Stopar, Gorka Epelde, Scott Fischaber, Piotr Poliwoda, Debbie Rankin, Jonathan G. Wallace, Michaela M. Black, Raymond R. Bond, Maurice D. Mulvenna
, Dale Weston, Paul Carlin, Roberto Bilbao, Gorana Nikolic, Xi Shi
, Bart De Moor, Minna Pikkarainen, Jarmo Pääkkönen, Anthony Staines, Regina Connolly, Paul Davis:
Meaningful Big Data Integration for a Global COVID-19 Strategy. IEEE Comput. Intell. Mag. 15(4): 51-61 (2020) - [j165]Bart De Moor:
Least squares optimal realisation of autonomous LTI systems is an eigenvalue problem. Commun. Inf. Syst. 20(2): 163-207 (2020) - [j164]Gorka Epelde, Andoni Beristain, Roberto Álvarez
, Mónica Arrúe, Iker Ezkerra, Oihana Belar, Roberto Bilbao, Gorana Nikolic, Xi Shi
, Bart De Moor, Maurice D. Mulvenna
:
Quality of data measurements in the big data era: Lessons learned from MIDAS project. IEEE Instrum. Meas. Mag. 23(7): 18-24 (2020) - 2019
- [j163]Christof Vermeersch
, Bart De Moor:
Globally Optimal Least-Squares ARMA Model Identification is an Eigenvalue Problem. IEEE Control. Syst. Lett. 3(4): 1062-1067 (2019) - 2018
- [j162]Oliver Lauwers
, Oscar Mauricio Agudelo, Bart De Moor:
A Multiple-Input Multiple-Output Cepstrum. IEEE Control. Syst. Lett. 2(2): 272-277 (2018) - [j161]Philippe Dreesen, Kim Batselier, Bart De Moor:
Multidimensional realisation theory and polynomial system solving. Int. J. Control 91(12): 2692-2704 (2018) - 2017
- [j160]Oliver Lauwers
, Bart De Moor:
A Time Series Distance Measure for Efficient Clustering of Input/Output Signals by Their Underlying Dynamics. IEEE Control. Syst. Lett. 1(2): 286-291 (2017) - 2015
- [j159]Dusan Popovic, Alejandro Sifrim
, Jesse Davis
, Yves Moreau
, Bart De Moor:
Problems with the nested granularity of feature domains in bioinformatics: the eXtasy case. BMC Bioinform. 16(S-4): S2 (2015) - [j158]Marc Claesen
, Frank De Smet, Johan A. K. Suykens
, Bart De Moor:
A robust ensemble approach to learn from positive and unlabeled data using SVM base models. Neurocomputing 160: 73-84 (2015) - 2014
- [j157]Minta Thomas, Kris De Brabanter, Bart De Moor:
New Bandwidth Selection Criterion for Kernel PCA: Approach to Dimensionality Reduction and Classification Problems. BMC Bioinform. 15: 137 (2014) - [j156]Minta Thomas, Kris De Brabanter, Johan A. K. Suykens
, Bart De Moor:
Predicting breast cancer using an expression values weighted clinical classifier. BMC Bioinform. 15: 6603 (2014) - [j155]Rocco Langone
, Oscar Mauricio Agudelo, Bart De Moor, Johan A. K. Suykens
:
Incremental kernel spectral clustering for online learning of non-stationary data. Neurocomputing 139: 246-260 (2014) - [j154]Kim Batselier
, Philippe Dreesen, Bart De Moor:
A fast recursive orthogonalization scheme for the Macaulay matrix. J. Comput. Appl. Math. 267: 20-32 (2014) - [j153]Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor:
EnsembleSVM: a library for ensemble learning using support vector machines. J. Mach. Learn. Res. 15(1): 141-145 (2014) - [j152]Kim Batselier
, Philippe Dreesen, Bart De Moor:
The Canonical Decomposition of Cnd and Numerical Gröbner and Border Bases. SIAM J. Matrix Anal. Appl. 35(4): 1242-1264 (2014) - [j151]Minta Thomas, Anneleen Daemen, Bart De Moor:
Maximum Likelihood Estimation ofGEVD: Applications in Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. 11(4): 673-680 (2014) - 2013
- [j150]Adeshola A. Adefioye, Xinhai Liu, Bart De Moor:
Multi-view spectral clustering and its chemical application. Int. J. Comput. Biol. Drug Des. 6(1/2): 32-49 (2013) - [j149]Kris De Brabanter, Jos De Brabanter, Bart De Moor, Irène Gijbels:
Derivative estimation with local polynomial fitting. J. Mach. Learn. Res. 14(1): 281-301 (2013) - [j148]Kim Batselier
, Philippe Dreesen, Bart De Moor:
The Geometry of Multivariate Polynomial Division and Elimination. SIAM J. Matrix Anal. Appl. 34(1): 102-125 (2013) - [j147]Diana Ugryumova, Gerd Vandersteen
, Bart Huyck
, Filip Logist
, Jan F. M. Van Impe, Bart De Moor:
Identification of a Noninsulated Distillation Column From Transient Response Data. IEEE Trans. Instrum. Meas. 62(5): 1382-1391 (2013) - [j146]Xinhai Liu, Shuiwang Ji
, Wolfgang Glänzel, Bart De Moor:
Multiview Partitioning via Tensor Methods. IEEE Trans. Knowl. Data Eng. 25(5): 1056-1069 (2013) - 2012
- [j145]Anneleen Daemen, Dirk Timmerman
, Thierry Van den Bosch, Cecilia Bottomley, Emma Kirk, Caroline Van Holsbeke, Lil Valentin
, Tom Bourne
, Bart De Moor:
Improved modeling of clinical data with kernel methods. Artif. Intell. Medicine 54(2): 103-114 (2012) - [j144]Ernesto Iacucci, Léon-Charles Tranchevent
, Dusan Popovic, Georgios A. Pavlopoulos
, Bart De Moor, Reinhard Schneider
, Yves Moreau
:
ReLiance: a machine learning and literature-based prioritization of receptor - ligand pairings. Bioinform. 28(18): 569-574 (2012) - [j143]Daniela Börnigen, Léon-Charles Tranchevent
, Francisco Bonachela Capdevila, Koenraad Devriendt, Bart De Moor, Patrick De Causmaecker
, Yves Moreau
:
An unbiased evaluation of gene prioritization tools. Bioinform. 28(23): 3081-3088 (2012) - [j142]Ernesto Iacucci, Léon-Charles Tranchevent, Dusan Popovic, Georgios A. Pavlopoulos, Bart De Moor, Reinhard Schneider, Yves Moreau:
A bioinformatics e-dating story: computational prediction and prioritization of receptor-ligand pairs. BMC Bioinform. 13(S-18): A7 (2012) - [j141]Shi Yu, Léon-Charles Tranchevent
, Xinhai Liu, Wolfgang Glänzel, Johan A. K. Suykens
, Bart De Moor, Yves Moreau
:
Optimized Data Fusion for Kernel k-Means Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 1031-1039 (2012) - [j140]Kris De Brabanter, Peter Karsmakers
, Jos De Brabanter, Johan A. K. Suykens
, Bart De Moor:
Confidence bands for least squares support vector machine classifiers: A regression approach. Pattern Recognit. 45(6): 2280-2287 (2012) - [j139]Xinhai Liu, Wolfgang Glänzel, Bart De Moor:
Optimal and hierarchical clustering of large-scale hybrid networks for scientific mapping. Scientometrics 91(2): 473-493 (2012) - 2011
- [j138]Léon-Charles Tranchevent
, Francisco Bonachela Capdevila, Daniela Nitsch, Bart De Moor, Patrick De Causmaecker
, Yves Moreau
:
A guide to web tools to prioritize candidate genes. Briefings Bioinform. 12(1): 22-32 (2011) - [j137]Shi Yu, Xinhai Liu, Léon-Charles Tranchevent
, Wolfgang Glänzel, Johan A. K. Suykens
, Bart De Moor, Yves Moreau
:
Optimized data fusion for K-means Laplacian clustering. Bioinform. 27(1): 118-126 (2011) - [j136]Ernesto Iacucci, Fabian Ojeda, Bart De Moor, Yves Moreau
:
Predicting Receptor-Ligand Pairs through Kernel Learning. BMC Bioinform. 12: 336 (2011) - [j135]Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor:
Kernel Regression in the Presence of Correlated Errors. J. Mach. Learn. Res. 12: 1955-1976 (2011) - [j134]Xinhai Liu, Wolfgang Glänzel, Bart De Moor:
Hybrid clustering of multi-view data via Tucker-2 model and its application. Scientometrics 88(3): 819-839 (2011) - [j133]Marco Signoretto, Raf Van de Plas
, Bart De Moor, Johan A. K. Suykens
:
Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data. IEEE Signal Process. Lett. 18(7): 403-406 (2011) - [j132]Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens
, Bart De Moor:
Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression. IEEE Trans. Neural Networks 22(1): 110-120 (2011) - 2010
- [j131]Shi Yu, Léon-Charles Tranchevent
, Bart De Moor, Yves Moreau
:
Gene prioritization and clustering by multi-view text mining. BMC Bioinform. 11: 28 (2010) - [j130]Shi Yu, Tillmann Falck, Anneleen Daemen, Léon-Charles Tranchevent
, Johan A. K. Suykens
, Bart De Moor, Yves Moreau
:
L2-norm multiple kernel learning and its application to biomedical data fusion. BMC Bioinform. 11: 309 (2010) - [j129]Daniela Nitsch, Joana P. Gonçalves
, Fabian Ojeda, Bart De Moor, Yves Moreau
:
Candidate gene prioritization by network analysis of differential expression using machine learning approaches. BMC Bioinform. 11: 460 (2010) - [j128]Julian Bonilla Alarcon, Moritz Diehl, Filip Logist
, Bart De Moor, Jan F. M. Van Impe:
An automatic initialization procedure in parameter estimation problems with parameter-affine dynamic models. Comput. Chem. Eng. 34(6): 953-964 (2010) - [j127]Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens
, Bart De Moor:
Optimized fixed-size kernel models for large data sets. Comput. Stat. Data Anal. 54(6): 1484-1504 (2010) - [j126]Toni Barjas Blanco, Mark Cannon
, Bart De Moor:
On efficient computation of low-complexity controlled invariant sets for uncertain linear systems. Int. J. Control 83(7): 1339-1346 (2010) - [j125]Xinhai Liu, Shi Yu, Frizo A. L. Janssens, Wolfgang Glänzel, Yves Moreau
, Bart De Moor:
Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database. J. Assoc. Inf. Sci. Technol. 61(6): 1105-1119 (2010) - 2009
- [j124]Hong Sun, Karen Lemmens, Tim Van den Bulcke, Kristof Engelen
, Bart De Moor, Kathleen Marchal
:
ViTraM: visualization of transcriptional modules. Bioinform. 25(18): 2450-2451 (2009) - [j123]Joke Allemeersch, Steven Van Vooren
, Femke Hannes, Bart De Moor, Joris Robert Vermeesch
, Yves Moreau
:
An experimental loop design for the detection of constitutional chromosomal aberrations by array CGH. BMC Bioinform. 10: 380 (2009) - [j122]Hong Sun, Tijl De Bie, Valerie Storms, Qiang Fu, Thomas Dhollander, Karen Lemmens, Annemieke Verstuyf
, Bart De Moor, Kathleen Marchal
:
ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules. BMC Bioinform. 10(S-1) (2009) - [j121]Frizo A. L. Janssens, Lin Zhang
, Bart De Moor, Wolfgang Glänzel:
Hybrid clustering for validation and improvement of subject-classification schemes. Inf. Process. Manag. 45(6): 683-702 (2009) - [j120]Oscar Mauricio Agudelo, Michel Baes, Jairo Jose Espinosa, Moritz Diehl, Bart De Moor:
Positive Polynomial Constraints for POD-based Model Predictive Controllers. IEEE Trans. Autom. Control. 54(5): 988-999 (2009) - [j119]Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens
, Bart De Moor:
Least conservative support and tolerance tubes. IEEE Trans. Inf. Theory 55(8): 3799-3806 (2009) - 2008
- [j118]Koenraad Van Leemput, Tim Van den Bulcke, Thomas Dhollander, Bart De Moor, Kathleen Marchal
, Piet van Remortel:
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data. Artif. Life 14(1): 49-63 (2008) - [j117]Joris Vertommen, Frizo A. L. Janssens, Bart De Moor, Joost R. Duflou
:
Multiple-vector user profiles in support of knowledge sharing. Inf. Sci. 178(17): 3333-3346 (2008) - [j116]Victor Rodriguez, Frizo A. L. Janssens, Koenraad Debackere, Bart De Moor:
On material transfer agreements and visibility of researchers in biotechnology. J. Informetrics 2(1): 89-100 (2008) - [j115]Léon-Charles Tranchevent
, Roland Barriot
, Shi Yu, Steven Van Vooren, Peter Van Loo
, Bert Coessens, Bart De Moor, Stein Aerts
, Yves Moreau
:
ENDEAVOUR update: a web resource for gene prioritization in multiple species. Nucleic Acids Res. 36(Web-Server-Issue): 377-384 (2008) - [j114]Fabian Ojeda, Johan A. K. Suykens
, Bart De Moor:
Low rank updated LS-SVM classifiers for fast variable selection. Neural Networks 21(2-3): 437-449 (2008) - [j113]Frizo A. L. Janssens, Wolfgang Glänzel, Bart De Moor:
A hybrid mapping of information science. Scientometrics 75(3): 607-631 (2008) - [j112]Bart Vanluyten, Jan C. Willems, Bart De Moor:
Equivalence of state representations for hidden Markov models. Syst. Control. Lett. 57(5): 410-419 (2008) - 2007
- [j111]Steven Gillijns, Bart De Moor:
Unbiased minimum-variance input and state estimation for linear discrete-time systems. Autom. 43(1): 111-116 (2007) - [j110]Steven Gillijns, Bart De Moor:
Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough. Autom. 43(5): 934-937 (2007) - [j109]Hui Zhao, Kristof Engelen
, Bart De Moor, Kathleen Marchal
:
CALIB: a Bioconductor package for estimating absolute expression levels from two-color microarray data. Bioinform. 23(13): 1700-1701 (2007) - [j108]Thomas Dhollander, Qizheng Sheng, Karen Lemmens, Bart De Moor, Kathleen Marchal
, Yves Moreau
:
Query-driven module discovery in microarray data. Bioinform. 23(19): 2573-2580 (2007) - [j107]Jaganath Chandrasekar, Dennis S. Bernstein, Oscar Barrero, B. L. R. De Moor:
Kalman filtering with constrained output injection. Int. J. Control 80(12): 1863-1879 (2007) - [j106]Luc Hoegaerts, Lieven De Lathauwer, Ivan Goethals, Johan A. K. Suykens
, Joos Vandewalle, Bart De Moor:
Efficiently updating and tracking the dominant kernel principal components. Neural Networks 20(2): 220-229 (2007) - [j105]Victor Rodriguez, Frizo A. L. Janssens, Koenraad Debackere, Bart De Moor:
Do material transfer agreements affect the choice of research agendas? The case of biotechnology in Belgium. Scientometrics 71(2): 239-269 (2007) - [j104]Kristiaan Pelckmans, Johan A. K. Suykens
, Bart De Moor:
A Convex Approach to Validation-Based Learning of the Regularization Constant. IEEE Trans. Neural Networks 18(3): 917-920 (2007) - 2006
- [j103]Kristof Engelen
, Bart Naudts, Bart De Moor, Kathleen Marchal
:
A calibration method for estimating absolute expression levels from microarray data. Bioinform. 22(10): 1251-1258 (2006) - [j102]Tim Van den Bulcke, Koen Van Leemput, Bart Naudts, Piet van Remortel, Hongwu Ma, Alain Verschoren, Bart De Moor, Kathleen Marchal
:
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms. BMC Bioinform. 7: 43 (2006) - [j101]Pieter Monsieurs, Gert Thijs
, Abeer A. Fadda
, Sigrid C. J. De Keersmaecker
, Jozef Vanderleyden, Bart De Moor, Kathleen Marchal
:
More robust detection of motifs in coexpressed genes by using phylogenetic information. BMC Bioinform. 7: 160 (2006) - [j100]Marcelo Espinoza, Johan A. K. Suykens
, Bart De Moor:
Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting. Comput. Manag. Sci. 3(2): 113-129 (2006) - [j99]Frizo A. L. Janssens, Jacqueline Leta
, Wolfgang Glänzel, Bart De Moor:
Towards mapping library and information science. Inf. Process. Manag. 42(6): 1614-1642 (2006) - [j98]Kristiaan Pelckmans, Johan A. K. Suykens
, Bart De Moor:
Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods. Mach. Learn. 62(3): 217-252 (2006) - [j97]Zhaoyang Wan, Bert Pluymers, Mayuresh V. Kothare, Bart De Moor:
Comments on: "Efficient robust constrained model predictive control with a time varying terminal constraint set" by Wan and Kothare. Syst. Control. Lett. 55(7): 618-621 (2006) - 2005
- [j96]Ivan Markovsky, Bart De Moor:
Linear dynamic filtering with noisy input and output. Autom. 41(1): 167-171 (2005) - [j95]Ivan Markovsky, Jan C. Willems, Paolo Rapisarda, Bart De Moor:
Algorithms for deterministic balanced subspace identification. Autom. 41(5): 755-766 (2005) - [j94]Bert Pluymers, L. Roobrouck, J. Buijs, Johan A. K. Suykens
, Bart De Moor:
Constrained linear MPC with time-varying terminal cost using convex combinations. Autom. 41(5): 831-837 (2005) - [j93]Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Suykens
, Bart De Moor:
Identification of MIMO Hammerstein models using least squares support vector machines. Autom. 41(7): 1263-1272 (2005) - [j92]Nathalie Pochet
, Frizo A. L. Janssens, Frank De Smet
, Kathleen Marchal
, Johan A. K. Suykens
, Bart De Moor:
M@CBETH: a microarray classification benchmarking tool. Bioinform. 21(14): 3185-3186 (2005) - [j91]Steffen Durinck, Yves Moreau
, Arek Kasprzyk, Sean R. Davis
, Bart De Moor, Alvis Brazma
, Wolfgang Huber
:
BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis. Bioinform. 21(16): 3439-3440 (2005) - [j90]Björn Menten
, Filip Pattyn
, Katleen De Preter
, Piet Robbrecht, Evi Michels, Karen Buysse, Geert Mortier
, Anne De Paepe, Steven Van Vooren
, Joris Robert Vermeesch
, Yves Moreau
, Bart De Moor, Stefan Vermeulen
, Frank Speleman, Jo Vandesompele
:
arrayCGHbase: an analysis platform for comparative genomic hybridization microarrays. BMC Bioinform. 6: 124 (2005) - [j89]Jeroen Boets, Katrien De Cock, Marcelo Espinoza, Bart De Moor:
Clustering time series, subspace identification and cepstral distances. Commun. Inf. Syst. 5(1): 69-96 (2005) - [j88]Luc Hoegaerts, Johan A. K. Suykens
, Joos Vandewalle, Bart De Moor:
Subset based least squares subspace regression in RKHS. Neurocomputing 63: 293-323 (2005) - [j87]Kristiaan Pelckmans, Johan A. K. Suykens
, Bart De Moor:
Building sparse representations and structure determination on LS-SVM substrates. Neurocomputing 64: 137-159 (2005) - [j86]Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens
, Bart De Moor:
The differogram: Non-parametric noise variance estimation and its use for model selection. Neurocomputing 69(1-3): 100-122 (2005) - [j85]Patrick Glenisson, Wolfgang Glänzel, Frizo A. L. Janssens, Bart De Moor:
Combining full text and bibliometric information in mapping scientific disciplines. Inf. Process. Manag. 41(6): 1548-1572 (2005) - [j84]Stein Aerts
, Peter Van Loo
, Gert Thijs, Herbert Mayer, Rainer de Martin, Yves Moreau
, Bart De Moor:
TOUCAN 2: the all-inclusive open source workbench for regulatory sequence analysis. Nucleic Acids Res. 33(Web-Server-Issue): 393-396 (2005) - [j83]Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens
, Bart De Moor:
Handling missing values in support vector machine classifiers. Neural Networks 18(5-6): 684-692 (2005) - [j82]Kristiaan Pelckmans, Marcelo Espinoza, Jos De Brabanter, Johan A. K. Suykens
, Bart De Moor:
Primal-Dual Monotone Kernel Regression. Neural Process. Lett. 22(2): 171-182 (2005) - [j81]Jan C. Willems, Paolo Rapisarda, Ivan Markovsky, Bart De Moor:
A note on persistency of excitation. Syst. Control. Lett. 54(4): 325-329 (2005) - [j80]Bert Pluymers, Johan A. K. Suykens
, Bart De Moor:
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. 54(12): 1143-1148 (2005) - [j79]Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor, Rik Pintelon
:
Application of structured total least squares for system identification and model reduction. IEEE Trans. Autom. Control. 50(10): 1490-1500 (2005) - [j78]Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Suykens
, Bart De Moor:
Subspace identification of Hammerstein systems using least squares support vector machines. IEEE Trans. Autom. Control. 50(10): 1509-1519 (2005) - [j77]Marcelo Espinoza, Johan A. K. Suykens
, Bart De Moor:
Kernel based partially linear models and nonlinear identification. IEEE Trans. Autom. Control. 50(10): 1602-1606 (2005) - [j76]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
A prewhitening-induced bound on the identification error in independent component analysis. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(3): 546-554 (2005) - 2004
- [j75]Peter Antal
, Geert Fannes, Dirk Timmerman
, Yves Moreau
, Bart De Moor:
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. Artif. Intell. Medicine 30(3): 257-281 (2004) - [j74]Stein Aerts
, Peter Van Loo
, Yves Moreau
, Bart De Moor:
A genetic algorithm for the detection of new cis-regulatory modules in sets of coregulated genes. Bioinform. 20(12): 1974-1976 (2004) - [j73]Nathalie Pochet
, Frank De Smet
, Johan A. K. Suykens
, Bart De Moor:
Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction. Bioinform. 20(17): 3185-3195 (2004) - [j72]Steffen Durinck, Joke Allemeersch, Vincent Carey, Yves Moreau
, Bart De Moor:
Importing MAGE-ML format microarray data into BioConductor. Bioinform. 20(18): 3641-3642 (2004) - [j71]Arie Yeredor, Bart De Moor:
On homogeneous least-squares problems and the inconsistency introduced by mis-constraining. Comput. Stat. Data Anal. 47(3): 455-465 (2004) - [j70]Tony Van Gestel, Johan A. K. Suykens
, Bart Baesens, Stijn Viaene, Jan Vanthienen
, Guido Dedene, Bart De Moor, Joos Vandewalle:
Benchmarking Least Squares Support Vector Machine Classifiers. Mach. Learn. 54(1): 5-32 (2004) - [j69]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition. SIAM J. Matrix Anal. Appl. 26(2): 295-327 (2004) - 2003
- [j68]Peter Antal
, Geert Fannes, Dirk Timmerman
, Yves Moreau
, Bart De Moor:
Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection. Artif. Intell. Medicine 29(1-2): 39-60 (2003) - [j67]Kristof Engelen
, Bert Coessens, Kathleen Marchal
, Bart De Moor:
MARAN: Normalizing Micro-array Data. Bioinform. 19(7): 893-894 (2003) - [j66]Bart De Moor, Kathleen Marchal
, Janick Mathys, Yves Moreau
:
Bioinformatics: Organisms from Venus, Technology from Jupiter, Algorithms from Mars. Eur. J. Control 9(2-3): 237-278 (2003) - [j65]Emil-Mihal Muresan, Bart De Moor:
Soccer and Data Mining. Int. J. Comput. Sci. Sport 2(1) (2003) - [j64]Bert Coessens, Gert Thijs, Stein Aerts
, Kathleen Marchal
, Frank De Smet
, Kristof Engelen
, Patrick Glenisson, Yves Moreau
, Janick Mathys, Bart De Moor:
INCLUSive: a web portal and service registry for microarray and regulatory sequence analysis. Nucleic Acids Res. 31(13): 3468-3470 (2003) - [j63]Delin Chu, Lieven De Lathauwer, Bart De Moor:
A QR-type reduction for computing the SVD of a general matrix product/quotient. Numerische Mathematik 95(1): 101-121 (2003) - [j62]Patrick Glenisson, Janick Mathys, Bart De Moor:
Meta-clustering of gene expression data and literature-based information. SIGKDD Explor. 5(2): 101-112 (2003) - [j61]Katrien De Cock, Bernard Hanzon, Bart De Moor:
On a cepstral norm for an ARMA model and the polar plot of the logarithm of its transfer function. Signal Process. 83(2): 439-443 (2003) - [j60]Geert Ysebaert, Katleen Van Acker, Marc Moonen, Bart De Moor:
Constraints in channel shortening equalizer design for DMT-based systems. Signal Process. 83(3): 641-648 (2003) - [j59]Ivan Goethals, Tony Van Gestel, Johan A. K. Suykens
, Paul Van Dooren, Bart De Moor:
Identification of positive real models in subspace identification by using regularization. IEEE Trans. Autom. Control. 48(10): 1843-1847 (2003) - [j58]Axel Nackaerts
, Bart De Moor, Rudy Lauwereins:
A formant filtered physical model for wind instruments. IEEE Trans. Speech Audio Process. 11(1): 36-44 (2003) - [j57]Johan A. K. Suykens
, Tony Van Gestel, Joos Vandewalle, Bart De Moor:
A support vector machine formulation to PCA analysis and its kernel version. IEEE Trans. Neural Networks 14(2): 447-450 (2003) - 2002
- [j56]Gert Thijs, Yves Moreau
, Frank De Smet
, Janick Mathys, Magali Lescot
, Stephane Rombauts, Pierre Rouzé, Bart De Moor, Kathleen Marchal
:
INCLUSive: INtegrated Clustering, Upstream sequence retrieval and motif Sampling. Bioinform. 18(2): 331-332 (2002) - [j55]Frank De Smet
, Janick Mathys, Kathleen Marchal
, Gert Thijs, Bart De Moor, Yves Moreau
:
Adaptive quality-based clustering of gene expression profiles. Bioinform. 18(5): 735-746 (2002) - [j54]Gert Thijs
, Kathleen Marchal
, Magali Lescot
, Stephane Rombauts
, Bart De Moor, Pierre Rouzé, Yves Moreau
:
A Gibbs Sampling Method to Detect Overrepresented Motifs in the Upstream Regions of Coexpressed Genes. J. Comput. Biol. 9(2): 447-464 (2002) - [j53]Tony Van Gestel, Johan A. K. Suykens
, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle:
Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis. Neural Comput. 14(5): 1115-1147 (2002) - [j52]Philippe Lemmerling, Sabine Van Huffel, Bart De Moor:
The structured total least-squares approach for non-linearly structured matrices. Numer. Linear Algebra Appl. 9(4): 321-332 (2002) - [j51]Tony Van Gestel, Johan A. K. Suykens
, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle:
Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes. Neural Process. Lett. 15(1): 45-58 (2002) - [j50]Yves Moreau
, Frank De Smet, Gert Thijs, Kathleen Marchal
, Bart De Moor:
Functional bioinformatics of microarray data: from expression to regulation. Proc. IEEE 90(11): 1722-1743 (2002) - [j49]Katrien De Cock, Bart De Moor:
Subspace angles between ARMA models. Syst. Control. Lett. 46(4): 265-270 (2002) - [j48]Bart De Schutter
, Bart De Moor:
The QR Decomposition and the Singular Value Decomposition in the Symmetrized Max-Plus Algebra Revisited. SIAM Rev. 44(3): 417-454 (2002) - 2001
- [j47]Philippe Lemmerling, Bart De Moor:
Misfit versus latency. Autom. 37(12): 2057-2067 (2001) - [j46]Gert Thijs, Magali Lescot, Kathleen Marchal
, Stephane Rombauts, Bart De Moor, Pierre Rouzé, Yves Moreau
:
A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling. Bioinform. 17(12): 1113-1122 (2001) - [j45]Tony Van Gestel, Bart De Moor, Brian D. O. Anderson, Peter Van Overschee:
On Frequency Weighted Balanced Truncation: Hankel Singular Values and Error Bounds. Eur. J. Control 7(6): 584-592 (2001) - [j44]Johan A. K. Suykens
, Joos Vandewalle, Bart De Moor:
Intelligence and Cooperative Search by Coupled Local Minimizers. Int. J. Bifurc. Chaos 11(8): 2133-2144 (2001) - [j43]Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens
, Dirk Van den Poel
, Jan Vanthienen
, Bart De Moor, Guido Dedene:
Knowledge discovery in a direct marketing case using least squares support vector machines. Int. J. Intell. Syst. 16(9): 1023-1036 (2001) - [j42]Michel Duhoux, Johan A. K. Suykens
, Bart De Moor, Joos Vandewalle:
Improved Long-Term Temperature Prediction by Chaining of Neural Networks. Int. J. Neural Syst. 11(1): 1-10 (2001) - [j41]Johan A. K. Suykens
, Joos Vandewalle, Bart De Moor:
Optimal control by least squares support vector machines. Neural Networks 14(1): 23-35 (2001) - [j40]Philippe Lemmerling, Leentje Vanhamme, Sabine Van Huffel, Bart De Moor:
IQML-like algorithms for solving structured total least squares problems: a unified view. Signal Process. 81(9): 1935-1945 (2001) - [j39]Tony Van Gestel, Johan A. K. Suykens
, Paul Van Dooren, Bart De Moor:
Identification of stable models in subspace identification by using regularization. IEEE Trans. Autom. Control. 46(9): 1416-1420 (2001) - [j38]Tony Van Gestel, Johan A. K. Suykens
, Dirk-Emma Baestaens, Annemie Lambrechts, Gert R. G. Lanckriet, Bruno Vandaele, Bart De Moor, Joos Vandewalle:
Financial time series prediction using least squares support vector machines within the evidence framework. IEEE Trans. Neural Networks 12(4): 809-821 (2001) - [j37]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
Independent component analysis and (simultaneous) third-order tensor diagonalization. IEEE Trans. Signal Process. 49(10): 2262-2271 (2001) - 2000
- [j36]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
A Multilinear Singular Value Decomposition. SIAM J. Matrix Anal. Appl. 21(4): 1253-1278 (2000) - [j35]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
On the Best Rank-1 and Rank-(R1 , R2, ... , RN) Approximation of Higher-Order Tensors. SIAM J. Matrix Anal. Appl. 21(4): 1324-1342 (2000) - [j34]Delin Chu, Lieven De Lathauwer, Bart De Moor:
On the Computation of the Restricted Singular Value Decomposition via the Cosine-Sine Decomposition. SIAM J. Matrix Anal. Appl. 22(2): 580-601 (2000) - [j33]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
Fetal electrocardiogram extraction by blind source subspace separation. IEEE Trans. Biomed. Eng. 47(5): 567-572 (2000) - [j32]Johan A. K. Suykens
, Bart De Moor, Joos Vandewalle:
Robust local stability of multilayer recurrent neural networks. IEEE Trans. Neural Networks Learn. Syst. 11(1): 222-229 (2000) - 1999
- [j31]Bart De Schutter
, Bart De Moor:
On the Sequence of Consecutive Powers of a Matrix in a Boolean Algebra. SIAM J. Matrix Anal. Appl. 21(1): 328-354 (1999) - [j30]Johan A. K. Suykens
, Joos Vandewalle, Bart De Moor:
Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity. IEEE Trans. Autom. Control. 44(4): 770-774 (1999) - [j29]Wouter Favoreel, Bart De Moor, Peter Van Overschee:
Subspace identification of bilinear systems subject to white inputs. IEEE Trans. Autom. Control. 44(6): 1157-1165 (1999) - 1998
- [j28]Herman Verrelst, Kristel Van Acker
, Johan A. K. Suykens
, Bart Motmans
, Bart De Moor, Joos Vandewalle:
Application of NLq Neural Control Theory to a Ball and Beam System. Eur. J. Control 4(2): 148-157 (1998) - [j27]Bart De Schutter
, Bart De Moor:
Optimal Traffic Light Control for a Single Intersection. Eur. J. Control 4(3): 260-276 (1998) - [j26]Bart De Schutter
, Bart De Moor:
The QR Decomposition and the Singular Value Decomposition in the Symmetrized Max-Plus Algebra. SIAM J. Matrix Anal. Appl. 19(2): 378-406 (1998) - 1997
- [j25]Peter Van Overschee, Bart De Moor, Wouter Dehandschutter, Jan Swevers:
A subspace algorithm for the identification of discrete time frequency domain power spectra. Autom. 33(12): 2147-2157 (1997) - [j24]Johan A. K. Suykens
, Bart De Moor, Joos Vandewalle:
NLq Theory: A Neural Control Framework with Global Asymptotic Stability Criteria. Neural Networks 10(4): 615-637 (1997) - [j23]Jeroen Dehaene, Yi Cheng, Bart De Moor:
Calculation of the structured singular value with gradient-based optimization algorithms on a Lie group of structured unitary matrices. IEEE Trans. Autom. Control. 42(11): 1596-1600 (1997) - [j22]Johan A. K. Suykens
, Joos Vandewalle, Bart De Moor:
NLq theory: checking and imposing stability of recurrent neural networks for nonlinear modeling. IEEE Trans. Signal Process. 45(11): 2682-2691 (1997) - 1996
- [j21]Bart De Schutter
, Bart De Moor:
A method to find all solutions of a system of multivariate polynomial equalities and inequalities in the max algebra. Discret. Event Dyn. Syst. 6(2): 115-138 (1996) - [j20]Johan A. K. Suykens
, Philippe Lemmerling, Wouter Favoreel, Bart De Moor, M. Crepel, P. Briol:
Modelling the Belgian Gas Consumption Using Neural Networks. Neural Process. Lett. 4(3): 157-166 (1996) - [j19]Peter Van Overschee, Bart De Moor:
Continuous-time frequency domain subspace system identification. Signal Process. 52(2): 179-194 (1996) - [j18]Geert Schelfhout, Bart De Moor:
A note on closed-loop balanced truncation. IEEE Trans. Autom. Control. 41(10): 1498-1500 (1996) - [j17]Philippe Lemmerling, Bart De Moor, Sabine Van Huffel:
On the equivalence of constrained total least squares and structured total least squares. IEEE Trans. Signal Process. 44(11): 2908-2911 (1996) - 1995
- [j16]Christiaan Moons, Bart De Moor:
Parameter identification of induction motor drives. Autom. 31(8): 1137-1147 (1995) - [j15]Peter Van Overschee, Bart De Moor:
A unifying theorem for three subspace system identification algorithms. Autom. 31(12): 1853-1864 (1995) - [j14]Peter Van Overschee, Bart De Moor:
Choice of state-space basis in combined deterministic-stochastic subspace identification. Autom. 31(12): 1877-1883 (1995) - [j13]Bart De Schutter
, Bart De Moor:
The extended linear complementarity problem. Math. Program. 71: 289-325 (1995) - 1994
- [j12]Peter Van Overschee, Bart De Moor:
N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems. Autom. 30(1): 75-93 (1994) - [j11]Bart De Moor, Michel Gevers, Graham C. Goodwin:
L2-overbiased, L2-underbiased and L2-unbiased estimation of transfer functions. Autom. 30(5): 893-898 (1994) - [j10]Johan A. K. Suykens
, Bart De Moor, Joos Vandewalle:
Static and dynamic stabilizing neural controllers, applicable to transition between equilibrium points. Neural Networks 7(5): 819-831 (1994) - [j9]Bart De Moor:
On the Structure of Generalized Singular Value and QR Decompositions. SIAM J. Matrix Anal. Appl. 15(1): 347-358 (1994) - [j8]Yi Cheng, Bart De Moor:
Robustness analysis and control system design for a hydraulic servo system. IEEE Trans. Control. Syst. Technol. 2(3): 183-197 (1994) - [j7]Bart De Moor:
Total least squares for affinely structured matrices and the noisy realization problem. IEEE Trans. Signal Process. 42(11): 3104-3113 (1994) - 1993
- [j6]Peter Van Overschee, Bart De Moor:
Subspace algorithms for the stochastic identification problem, . Autom. 29(3): 649-660 (1993) - [j5]Bart De Moor:
The singular value decomposition and long and short spaces of noisy matrices. IEEE Trans. Signal Process. 41(9): 2826-2838 (1993) - 1992
- [j4]Bart De Moor, Lieven Vandenberghe, Joos Vandewalle:
The generalized linear complementarity problem and an algorithm to find all its solutions. Math. Program. 57: 415-426 (1992) - [j3]Bart De Moor, Paul Van Dooren:
Generalizations of the Singular Value and QR-Decompositions. SIAM J. Matrix Anal. Appl. 13(4): 993-1014 (1992) - 1991
- [j2]Bart De Moor:
Generalizations of the singular value and QR decompositions. Signal Process. 25(2): 135-146 (1991) - 1988
- [j1]Bart De Moor, Lieven Vandenberghe, Joos Vandewalle:
Computing all invariant states of a neural network. Neural Networks 1(Supplement-1): 89-90 (1988)
Conference and Workshop Papers
- 2024
- [c160]Sibren Lagauw, Lukas Vanpoucke, Bart De Moor:
Exact Characterization of the Global Optima of Least Squares Realization of Autonomous LTI Models as a Multiparameter Eigenvalue Problem. ECC 2024: 3446-3451 - 2023
- [c159]Christof Vermeersch
, Sibren Lagauw, Bart De Moor:
Multivariate Polynomial Optimization in Complex Variables Is a (Rectangular) Multiparameter Eigenvalue Problem. CDC 2023: 7305-7311 - [c158]Vincent Scheltjens
, Lyse Naomi Wamba Momo, Wouter Verbeke
, Bart De Moor:
Client Recruitment for Federated Learning in ICU Length of Stay Prediction. e-Science 2023: 1-9 - [c157]Giulia Rinaldi, Fernando Crema Garcia, Oscar Mauricio Agudelo, Thijs Becker, Koen Vanthournout, Willem Mestdagh, Bart De Moor:
A Framework for a Data Quality Module in Decision Support Systems: An Application with Smart Grid Time Series. ICEIS (1) 2023: 443-452 - 2022
- [c156]Arun Pandey
, Hannes De Meulemeester, Henri De Plaen
, Bart De Moor, Johan A. K. Suykens
:
Recurrent Restricted Kernel Machines for Time-series Forecasting. ESANN 2022 - 2021
- [c155]Joachim Schreurs
, Hannes De Meulemeester
, Michaël Fanuel
, Bart De Moor
, Johan A. K. Suykens
:
Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks. LOD 2021: 466-480 - [c154]Hannes De Meulemeester
, Joachim Schreurs
, Michaël Fanuel
, Bart De Moor
, Johan A. K. Suykens
:
The Bures Metric for Generative Adversarial Networks. ECML/PKDD (2) 2021: 52-66 - 2020
- [c153]Hannes De Meulemeester
, Bart De Moor:
Unsupervised Embeddings for Categorical Variables. IJCNN 2020: 1-8 - 2019
- [c152]Bart De Moor:
Least squares realization of LTI models is an eigenvalue problem. ECC 2019: 2270-2275 - 2018
- [c151]Bob Vergauwen, Oscar Mauricio Agudelo, Bart De Moor:
Order estimation of two dimensional systems based on rank decisions. CDC 2018: 1451-1456 - [c150]Bart De Moor, Yasamin Mostofi, Maryam Kamgarpour, Zdenko Kovacic, Maja Cepanec, Airlie Chapman, Mehran Mesbahi:
Plenary Lectures. MED 2018 - 2017
- [c149]Bob Vergauwen, Oscar Mauricio Agudelo, Raj Thilak Rajan
, Frank J. Pasveer, Bart De Moor:
Data-driven modeling techniques for indoor CO2 estimation. IEEE SENSORS 2017: 1-3 - 2015
- [c148]Antoine Vandermeersch, Bart De Moor:
A SVD approach to multivariate polynomial optimization problems. CDC 2015: 7232-7237 - [c147]Mandar Chandorkar, Raghvendra Mall
, Oliver Lauwers, Johan A. K. Suykens
, Bart De Moor:
Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification. SSCI 2015: 522-528 - [c146]Dusan Popovic, Jesse Davis
, Alejandro Sifrim
, Bart De Moor:
A Note on the Evaluation of Mutation Prioritization Algorithms. SSCI 2015: 1351-1357 - 2014
- [c145]Dusan Popovic, Charalampos N. Moschopoulos, Ryo Sakai, Alejandro Sifrim
, Jan Aerts
, Yves Moreau
, Bart De Moor:
A Self-Tuning Genetic Algorithm with Applications in Biomarker Discovery. CBMS 2014: 233-238 - [c144]Charalampos N. Moschopoulos, Dusan Popovic, Rocco Langone
, Johan A. K. Suykens
, Bart De Moor, Yves Moreau
:
Gene interaction networks boost genetic algorithm performance in biomarker discovery. MCDM 2014: 144-149 - 2013
- [c143]Dusan Popovic, Alejandro Sifrim
, Yves Moreau
, Bart De Moor:
eXtasy simplified-towards opening the black box. BIBM 2013: 24-28 - [c142]Charalampos N. Moschopoulos, Dusan Popovic, Alejandro Sifrim
, Grigorios N. Beligiannis
, Bart De Moor, Yves Moreau
:
A Genetic Algorithm for Pancreatic Cancer Diagnosis. EANN (2) 2013: 222-230 - [c141]Dusan Popovic, Alejandro Sifrim
, Charalampos N. Moschopoulos, Yves Moreau
, Bart De Moor:
A Hybrid Approach to Feature Ranking for Microarray Data Classification. EANN (2) 2013: 241-248 - [c140]Bart Huyck, Jos De Brabanter, Bart De Moor, Jan F. M. Van Impe, Filip Logist:
Model predictive control of a pilot-scale distillation column using a programmable automation controller. ECC 2013: 1053-1058 - 2012
- [c139]Maarten Breckpot, Oscar Mauricio Agudelo, Bart De Moor:
Model Predictive Control applied to a river system with two reaches. CDC 2012: 4549-4554 - [c138]Kim Batselier, Philippe Dreesen, Bart De Moor:
maximum likelihood estimation and polynomial system solving. ESANN 2012 - [c137]Kris De Brabanter, Bart De Moor:
Deconvolution in nonparametric statistics. ESANN 2012 - [c136]Philippe Dreesen, Kim Batselier, Bart De Moor:
Weighted/Structured Total Least Squares problems and polynomial system solving. ESANN 2012 - [c135]Dries Geebelen, Kim Batselier, Philippe Dreesen, Marco Signoretto, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle:
Joint Regression and Linear Combination of Time Series for Optimal Prediction. ESANN 2012 - [c134]Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens
, Joos Vandewalle, Bart De Moor:
Robustness of kernel based regression: Influence and weight functions. IJCNN 2012: 1-8 - [c133]Dusan Popovic, Alejandro Sifrim
, Georgios A. Pavlopoulos
, Yves Moreau
, Bart De Moor:
A Simple Genetic Algorithm for Biomarker Mining. PRIB 2012: 222-232 - [c132]Ernesto Iacucci, Dusan Popovic, Georgios A. Pavlopoulos
, Léon-Charles Tranchevent, Marijke Bauters, Bart De Moor, Yves Moreau
:
Towards Better Prioritization of Epigenetically Modified DNA Regions. SETN 2012: 270-277 - 2011
- [c131]Oscar Mauricio Agudelo, Oscar Barrero, Viaene Peter, Bart De Moor:
Assimilation of ozone measurements in the air quality model AURORA by using the Ensemble Kalman Filter. CDC/ECC 2011: 4430-4435 - 2010
- [c130]Maarten Breckpot, Toni Barjas Blanco, Bart De Moor:
Flood control of rivers with Model Predictive Control. ACC 2010: 2983-2988 - [c129]Kim Batselier
, Bart De Moor:
Maximum likelihood and polynomial system solving. BIBM Workshops 2010: 819-820 - [c128]Oscar Mauricio Agudelo, Jairo Jose Espinosa, Bart De Moor:
Reduction of the computational burden of POD models with polynomial nonlinearities. CDC 2010: 3457-3462 - [c127]Maarten Breckpot, Toni Barjas Blanco, Bart De Moor:
Flood control of rivers with nonlinear model predictive control and moving horizon estimation. CDC 2010: 6107-6112 - [c126]Tillmann Falck, Johan A. K. Suykens
, Bart De Moor:
Linear parametric noise models for Least Squares Support Vector Machines. CDC 2010: 6389-6394 - [c125]Tillmann Falck, Johan A. K. Suykens, Johan Schoukens, Bart De Moor:
Nuclear norm regularization for overparametrized Hammerstein systems. CDC 2010: 7202-7207 - [c124]Fabian Ojeda, Tillmann Falck, Bart De Moor, Johan A. K. Suykens
:
Polynomial componentwise LS-SVM: Fast variable selection using low rank updates. IJCNN 2010: 1-7 - [c123]Xinhai Liu, Lieven De Lathauwer, Frizo A. L. Janssens, Bart De Moor:
Hybrid Clustering of Multiple Information Sources via HOSVD. ISNN (2) 2010: 337-345 - [c122]Fabian Ojeda, Marco Signoretto, Raf Van de Plas
, Etienne Waelkens, Bart De Moor, Johan A. K. Suykens
:
Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging. PRIB 2010: 325-334 - 2009
- [c121]Niels Haverbeke, Moritz Diehl, Bart De Moor:
A structure exploiting interior-point method for moving horizon estimation. CDC 2009: 1273-1278 - [c120]Julian Bonilla Alarcon, Moritz Diehl, Filip Logist
, Bart De Moor, Jan F. M. Van Impe:
A convex approximation for parameter estimation involving parameter-affine dynamic models. CDC 2009: 4670-4675 - [c119]Tillmann Falck, Johan A. K. Suykens
, Bart De Moor:
Robustness analysis for Least Squares kernel based regression: an optimization approach. CDC 2009: 6774-6779 - [c118]Oscar Mauricio Agudelo, Jairo José Espinosa, Bart De Moor:
Acceleration of nonlinear POD models: A neural network approach. ECC 2009: 1547-1552 - [c117]Filip Logist, Bart Huyck, Maarten Fabré, Maarten Verwerft, Bert Pluymers, Jos De Brabanter, Bart De Moor, Jan F. M. Van Impe:
Identification and control of a pilot scale binary distillation column. ECC 2009: 4659-4664 - [c116]Kris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens
, Mia Hubert
, Bart De Moor:
Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes. ICANN (1) 2009: 100-110 - [c115]Carlos Alzate, Marcelo Espinoza, Bart De Moor, Johan A. K. Suykens
:
Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering. ICANN (2) 2009: 315-324 - [c114]Xinhai Liu, Shi Yu, Yves Moreau
, Frizo A. L. Janssens, Bart De Moor, Wolfgang Glänzel:
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis. ICDM Workshops 2009: 521-526 - [c113]Hong Sun, Tim Van den Bulcke
, Bart De Moor, Karen Lemmens, Kristof Engelen, Kathleen Marchal
:
Layout and Post-Processing of Transcriptional Modules. IJCBS 2009: 116-121 - [c112]Anneleen Daemen, Olivier Gevaert, Karin Leunen, Eric Legius, Ignace Vergote, Bart De Moor:
Supervised Classification of Array CGH Data with HMM-Based Feature Selection. Pacific Symposium on Biocomputing 2009: 468-479 - [c111]Xinhai Liu, Shi Yu, Yves Moreau, Bart De Moor, Wolfgang Glänzel, Frizo A. L. Janssens:
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets. SDM 2009: 49-60 - 2008
- [c110]Oscar Mauricio Agudelo, Jairo Jose Espinosa, Bart De Moor:
Algorithm for reducing the number of constraints of POD-based predictive controllers. CDC 2008: 4743-4748 - [c109]Julian Bonilla Alarcon, Moritz Diehl, Bart De Moor, Jan F. M. Van Impe:
A nonlinear least squares estimation procedure without initial parameter guesses. CDC 2008: 5519-5524 - [c108]Shi Yu, Steven Van Vooren, Léon-Charles Tranchevent
, Bart De Moor, Yves Moreau
:
Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining. ECCB 2008: 119-125 - [c107]Anneleen Daemen, Olivier Gevaert, Karin Leunen, Vanessa Vanspauwen, Geneviève Michils, Eric Legius
, Ignace Vergote, Bart De Moor:
Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations. KES (2) 2008: 165-172 - [c106]Anneleen Daemen, Olivier Gevaert, Tijl De Bie, Annelies Debucquoy, Jean-Pascal Machiels, Bart De Moor, Karin Haustermans:
Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer. Pacific Symposium on Biocomputing 2008: 166-177 - [c105]O. Gaevert, Steven Van Vooren, Bart De Moor:
Integration of Microarray and Textual Data Improves the Prognosis Prediction of Breast, Lung, and Ovarian Cancer Patients. Pacific Symposium on Biocomputing 2008: 279-290 - [c104]Raf Van de Plas
, Bart De Moor, Etienne Waelkens:
Discrete wavelet transform-based multivariate exploration of tissue via imaging mass spectrometry. SAC 2008: 1307-1308 - 2007
- [c103]Jeroen Boets, Katrien De Cock, Bart De Moor:
A mutual information based distance for multivariate Gaussian processes. CDC 2007: 3048-3053 - [c102]Oscar Mauricio Agudelo, Jairo Jose Espinosa, Bart De Moor:
POD-based predictive controller with temperature constraints for a tubular reactor. CDC 2007: 3537-3542 - [c101]Bart Vanluyten, Jan C. Willems, Bart De Moor:
A new approach for the identification of hidden Markov models. CDC 2007: 4901-4905 - [c100]Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
Convex optimization for the design of learning machines. ESANN 2007: 193-204 - [c99]Joos Vandewalle, Johan A. K. Suykens
, Bart De Moor, Amaury Lendasse
:
State-of-the-Art and Evolution in Public Data Sets and Competitions for System Identification, Time Series Prediction and Pattern Recognition. ICASSP (4) 2007: 1269-1272 - [c98]Fabian Ojeda, Johan A. K. Suykens
, Bart De Moor:
Variable selection by rank-one updates for least squares support vector machines. IJCNN 2007: 2283-2288 - [c97]Frizo A. L. Janssens, Wolfgang Glänzel, Bart De Moor:
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis. KDD 2007: 360-369 - [c96]Frizo Jansens, Wolfgang Glänzel, Bart De Moor:
Integrating Text Mining and Link Analysis. NATO ASI Mining Massive Data Sets for Security 2007: 243-244 - [c95]Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
A Risk Minimization Principle for a Class of Parzen Estimators. NIPS 2007: 1137-1144 - [c94]Raf Van de Plas, Fabian Ojeda, Maarten Dewil, Ludo Van Den Bosch, Bart De Moor, Etienne Waelkens:
Prospective Exploration of Biochemical Tissue Composition via Imaging Mass Spectrometry Guided by Principal Component Analysis. Pacific Symposium on Biocomputing 2007: 458-469 - [c93]Kristiaan Pelckmans, John Shawe-Taylor, Johan A. K. Suykens, Bart De Moor:
Margin based Transductive Graph Cuts using Linear Programming. AISTATS 2007: 363-370 - 2006
- [c92]Il Seop Choi, J. Anthony Rossiter, Bert Pluymers, Peter J. Fleming, Bart De Moor:
A robust MPC design for hot rolling mills: a polyhedral invariant sets approach. ACC 2006 - [c91]Steven Gillijns, Oscar Barrero, Jaganath Chandrasekar, B. L. R. De Moor, Dennis S. Bernstein, Aaron J. Ridley:
What is the ensemble Kalman filter and how well does it work? ACC 2006: 1-6 - [c90]Harish J. Palanthandalam-Madapusi, Steven Gillijns, Bart De Moor, Dennis S. Bernstein:
Subsystem identification for nonlinear model updating. ACC 2006: 1-6 - [c89]Bert Pluymers, Mayuresh V. Kothare, Johan A. K. Suykens
, Bart De Moor:
Robust synthesis of constrained linear state feedback using LMIs and polyhedral invariant sets. ACC 2006 - [c88]Ivan Markovsky, Jan C. Willems, Bart De Moor:
The Module Structure of ARMAX Systems. CDC 2006: 811-816 - [c87]Steven Gillijns, Bart De Moor:
Data-based Subsystem Identification for Dynamic Model Updating. CDC 2006: 3303-3308 - [c86]Bart Vanluyten, Jan C. Willems, Bart De Moor:
Matrix Factorization and Stochastic State Representations. CDC 2006: 4188-4193 - [c85]Tom Van Herpe, Bert Pluymers, Marcelo Espinoza, Greet Van den Berghe
, Bart De Moor:
A minimal model for glycemia control in critically ill patients. EMBC 2006: 5432-5435 - [c84]Kristof Op De Beeck, Irene Y. H. Gu
, Liyuan Li, Mats Viberg
, Bart De Moor:
Region-Based Statistical Background Modeling for Foreground Object Segmentation. ICIP 2006: 3317-3320 - [c83]Olivier Gevaert
, Frank De Smet
, Dirk Timmerman
, Yves Moreau
, Bart De Moor:
Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. ISMB (Supplement of Bioinformatics) 2006: 184-190 - [c82]Shi Yu, Steven Van Vooren, Bert Coessens, Bart De Moor:
Interpreting Gene Profiles from Biomedical Literature Mining with Self Organizing Maps. ISNN (2) 2006: 635-641 - [c81]Tom Bellemans, Bart De Schutter, Geert Wets, Bart De Moor:
Model Predictive Control for Ramp Metering Combined with Extended Kalman Filter-Based Traffic State Estimation. ITSC 2006: 406-411 - [c80]Maja Hadzic, Bart De Moor, Yves Moreau, Arek Kasprzyk:
KSinBIT 2006 PC Co-chairs' Message. OTM Workshops (1) 2006: 647 - [c79]Bert Coessens, Stijn Christiaens, Ruben Verlinden, Yves Moreau, Robert Meersman, Bart De Moor:
Ontology Guided Data Integration for Computational Prioritization of Disease Genes. OTM Workshops (1) 2006: 689-698 - [c78]Bart Vanluyten, Jan C. Willems, Bart De Moor:
Recursive Filtering Using Quasi-Realizations. POSTA 2006: 367-374 - 2005
- [c77]Bert Pluymers, John Anthony Rossiter, Johan A. K. Suykens
, Bart De Moor:
The efficient computation of polyhedral invariant sets for linear systems with polytopic uncertainty. ACC 2005: 804-809vol.2 - [c76]Bert Pluymers, John Anthony Rossiter, Johan A. K. Suykens
, Bart De Moor:
Interpolation based MPC for LPV systems using polyhedral invariant sets. ACC 2005: 810-815vol.2 - [c75]Oscar Barrero, Dennis S. Bernstein, Bart De Moor:
Spatially localized Kalman filtering for data assimilation. ACC 2005: 3468-3473 - [c74]J. Anthony Rossiter
, Yihang Ding, Bert Pluymers, Johan A. K. Suykens
, Bart De Moor:
Interpolation based robust MPC with exact constraint handling. CDC/ECC 2005: 302-307 - [c73]Bart Vanluyten, Jan C. Willems, Bart De Moor:
Model Reduction of Systems with Symmetries. CDC/ECC 2005: 826-831 - [c72]Ivan Markovsky, Jan C. Willems, Bart De Moor:
State Representations From Finite Time Series. CDC/ECC 2005: 832-835 - [c71]Kristiaan Pelckmans, Johan A. K. Suykens
, Ivan Goethals, Bart De Moor:
On Model Complexity Control in Identification of Hammerstein Systems. CDC/ECC 2005: 1203-1208 - [c70]Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor:
Software for Approximate Linear System Identification. CDC/ECC 2005: 1559-1564 - [c69]Marcelo Espinoza, Johan A. K. Suykens
, Bart De Moor:
Imposing Symmetry in Least Squares Support Vector Machines Regression. CDC/ECC 2005: 5716-5721 - [c68]Ivan Goethals, Kristiaan Pelckmans, Luc Hoegaerts, Johan A. K. Suykens
, Bart De Moor:
Subspace intersection identification of Hammerstein-Wiener systems. CDC/ECC 2005: 7108-7113 - [c67]Nathalie Pochet
, Frizo A. L. Janssens, Frank De Smet, Kathleen Marchal, Ignace Vergote, Johan A. K. Suykens
, Bart De Moor:
M@CBETH: Optimizing Clinical Microarray Classification. CSB Workshops 2005: 89-90 - [c66]Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
Componentwise Support Vector Machines for Structure Detection. ICANN (2) 2005: 643-648 - [c65]Marcelo Espinoza, Johan A. K. Suykens, Bart De Moor:
Load Forecasting Using Fixed-Size Least Squares Support Vector Machines. IWANN 2005: 1018-1026 - [c64]Tijl De Bie, Patrick Monsieurs, Kristof Engelen, Bart De Moor, Nello Cristianini, Kathleen Marchal:
Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. Pacific Symposium on Biocomputing 2005 - 2004
- [c63]Bert Pluymers, Johan A. K. Suykens
, Bart De Moor:
Linear MPC with time-varying terminal cost using sparse convex combinations and bisection search. CDC 2004: 2029-2034 - [c62]Bert Pluymers, Johan A. K. Suykens
, Bart De Moor:
Robust finite-horizon MPC using optimal worst-case closed-loop predictions. CDC 2004: 2503-2508 - [c61]Jaganath Chandrasekar, Oscar Barrero, Aaron J. Ridley, Dennis S. Bernstein, Bart De Moor:
State estimation for linearized MHD flow. CDC 2004: 2584-2589 - [c60]Jan C. Willems, Ivan Markovsky, Paolo Rapisarda, Bart De Moor:
A note on persistency of excitation. CDC 2004: 2630-2631 - [c59]Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor, Rik Pintelon
:
Application of structured total least squares for system identification. CDC 2004: 3382-3387 - [c58]Marcelo Espinoza, Johan A. K. Suykens
, Bart De Moor:
Partially linear models and least squares support vector machines. CDC 2004: 3388-3393 - [c57]Harish J. Palanthandalam-Madapusi, Steven Gillijns, Aaron J. Ridley, Dennis S. Bernstein, Bart De Moor:
Electric potential estimation with line-of-sight measurements using basis function optimization. CDC 2004: 3625-3630 - [c56]Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
Sparse LS-SVMs using additive regularization with a penalized validation criterion. ESANN 2004: 435-440 - [c55]Oscar Barrero, B. L. R. De Moor:
Nonparametric regularized time delay estimation. ICASSP (2) 2004: 541-544 - [c54]Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs. ICONIP 2004: 1216-1222 - [c53]Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines. ICONIP 2004: 1247-1253 - [c52]Tijl De Bie, Johan A. K. Suykens, Bart De Moor:
Learning from General Label Constraints. SSPR/SPR 2004: 671-679 - 2003
- [c51]Tom Bellemans, Bart De Schutter, Bart De Moor:
Anticipative model predictive control for ramp metering in freeway networks. ACC 2003: 4077-4082 - [c50]Marcelo Espinoza, Johan A. K. Suykens
, Bart De Moor:
Least squares support vector machines and primal space estimation. CDC 2003: 3451-3456 - [c49]Tony Van Gestel, Bart Baesens, Johan A. K. Suykens
, Marcelo Espinoza, Dirk-Emma Baestaens, Jan Vanthienen
, Bart De Moor:
Bankruptcy prediction with least squares support vector machine classifiers. CIFEr 2003: 1-8 - [c48]Stein Aerts, Peter Van Loo, Gert Thijs, Yves Moreau, Bart De Moor:
Computational detection of cis-regulatory modules. ECCB 2003: 5-14 - [c47]Qizheng Sheng, Yves Moreau, Bart De Moor:
Biclustering microarray data by Gibbs sampling. ECCB 2003: 196-205 - [c46]Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
Kernel PLS variants for regression. ESANN 2003: 200-208 - [c45]Andrei A. Tiagounov, Jeroen Buijs, Siep Weiland, Bart De Moor:
Long horizon model predictive control for nonlinear industrial processes. ECC 2003: 2041-2046 - [c44]Axel Nackaerts, Bert Schiettecatte, Bart De Moor:
Non-linear guitar body models. ICMC 2003 - [c43]Bert Schiettecatte, Axel Nackaerts, Bart De Moor:
Real-Time Acoustics Simulation using Mesh-Tracing. ICMC 2003 - [c42]B. Vandermeulen, Joost R. Duflou, Bart De Moor:
The Role of User Profiles in Vector-Based Information Retrieval. IKE 2003: 668-669 - [c41]Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens
, Bart De Moor:
Variogram based noise variance estimation and its use in kernel based regression. NNSP 2003: 199-208 - [c40]Patrick Glenisson, Peter Antal, Janick Mathys, Yves Moreau, Bart De Moor:
Evaluation of the Vector Space Representation in Text-Based Gene Clustering. Pacific Symposium on Biocomputing 2003: 391-402 - [c39]Patrick Glenisson, Bert Coessens, Steven Van Vooren, Yves Moreau, Bart De Moor:
Text-Based Gene Profiling with Domain-Specific Views. SWDB 2003: 15-31 - 2002
- [c38]Stein Aerts
, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau
:
Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. CBMS 2002: 282-287 - [c37]Ivan Markovsky, Jan C. Willems, Bart De Moor:
Continuous-time errors-in-variables filtering. CDC 2002: 2576-2581 - [c36]Lieven De Lathauwer, Bart De Moor:
On the blind separation of non-circular sources. EUSIPCO 2002: 1-4 - [c35]Bart Hamers, Johan A. K. Suykens, Bart De Moor:
Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models. ICANN 2002: 720-726 - [c34]Axel Nackaerts, Bart De Moor, Rudy Lauwereins:
Measurement of guitar string coupling. ICMC 2002 - 2001
- [c33]Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman
:
Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors. AIME 2001: 177-187 - [c32]Tom Bellemans, Bart De Schutter, Bart De Moor:
An improved first-order macroscopic flow model for highway traffic simulation. ACC 2001: 2105-2110 - [c31]Peter Antal, Bart De Moor, Tamás Mészáros, Tadeusz P. Dobrowiecki:
Annotated Bayesian Networks: A Tool to Integrate Textual and Probabilistic Medical Knowledge. CBMS 2001: 177-182 - [c30]Tony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle:
Automatic relevance determination for Least Squares Support Vector Machines classifiers. ESANN 2001: 13-18 - [c29]Tony Van Gestel, Bart De Moor, Brian D. O. Anderson, Peter Van Overschee:
On frequency weighted balanced truncation: A constructive counterexample to Enns' conjecture. ECC 2001: 2493-2498 - [c28]Tom Schouwenaars, Bart De Moor, Eric Feron, Jonathan P. How:
Mixed integer programming for multi-vehicle path planning. ECC 2001: 2603-2608 - [c27]Tony Van Gestel, Johan A. K. Suykens
, Jos De Brabanter, Bart De Moor, Joos Vandewalle:
Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines. ICANN 2001: 384-389 - [c26]Axel Nackaerts, Bart De Moor, Rudy Lauwereins:
Parameter estimation for dual-polarization plucked string models. ICMC 2001 - [c25]Tom Schouten, Bart De Moor:
Subband HTLS. ICMC 2001 - [c24]Gert Thijs, Kathleen Marchal, Magali Lescot, Stephane Rombauts, Bart De Moor, Pierre Rouzé, Yves Moreau:
A Gibbs sampling method to detect over-represented motifs in the upstream regions of co-expressed genes. RECOMB 2001: 305-312 - 2000
- [c23]Peter Antal, Herman Verrelst, Dirk Timmerman
, Sabine Van Huffel, Bart De Moor, Ignace Vergote:
Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. CBMS 2000: 103-108 - [c22]Tony Van Gestel, Johan A. K. Suykens
, Paul Van Dooren, Bart De Moor:
Imposing stability in subspace identification by regularization. CDC 2000: 1555-1560 - [c21]Katrien De Cock, Bart De Moor:
Subspace angles between linear stochastic models. CDC 2000: 1561-1566 - [c20]Binning Chen, Athina P. Petropulu, Lieven De Lathauwer, Bart De Moor:
Blind MIMO system identification based on cross-polyspectra. EUSIPCO 2000: 1-4 - [c19]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
An algebraic ICA algorithm for 3 sources and 2 sensors. EUSIPCO 2000: 1-4 - [c18]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
SVD-based methodologies for fetal electrocardiogram extraction. ICASSP 2000: 3771-3774 - [c17]Bart Baesens, Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen:
An empirical assessment of kernel type performance for least squares support vector machine classifiers. KES 2000: 313-316 - [c16]Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel
, Jan Vanthienen, Bart De Moor, Guido Dedene:
Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case. PKDD 2000: 657-664 - [c15]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
An algebraic approach to the blind identification of paraunitary filters. WCNC 2000: 1162-1165 - 1999
- [c14]Baibing Li, Bart De Moor:
Dynamic total least squares estimation of intersection traffic flow patterns. ECC 1999: 604-608 - [c13]Wouter Favoreel, Sabine Van Huffel, Bart De Moor, Vasile Sima, Michel Verhaegen:
Comparative study between three subspace identification algorithms. ECC 1999: 821-826 - [c12]Erik I. Verriest, Bart De Moor:
Multi-mode system identification. ECC 1999: 2608-2613 - [c11]Peter Van Overschee, Bart De Moor:
Optimal PID control of a chemical batch reactor. ECC 1999: 3262-3267 - [c10]Baibing Li, Bart De Moor:
Information measure based stochastic system identification of ATM network traffic. ICASSP 1999: 2683-2686 - [c9]Baibing Li, Bart De Moor:
Statistical division based modeling for multimedia network traffic. ISSPA 1999: 27-30 - 1998
- [c8]Katrien De Cock, Bart De Moor:
Stochastic system identification for ATM network traffic models: A time domain approach. EUSIPCO 1998: 1-4 - 1997
- [c7]Bart De Schutter, Bart De Moor:
The Extended Linear Complementary Problem and the Modeling and Analysis of Hybrid Systems. Hybrid Systems 1997: 70-85 - [c6]Bart De Schutter
, Bart De Moor:
Generalized Linear Complementary Problems and the Analysis of Continuously Variable Systems and Discrete Event Systems. HART 1997: 409-414 - [c5]Johan A. K. Suykens
, Bart De Moor, Joos Vandewalle:
Robust NLq neural control theory. ICNN 1997: 2396-2401 - 1996
- [c4]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
Blind source separation by simultaneous third-order tensor diagonalization. EUSIPCO 1996: 1-4 - [c3]Philippe Lemmerling, Sabine Van Huffel, Bart De Moor:
Structured total least squares methods in signal processing. EUSIPCO 1996: 1-4 - 1995
- [c2]Johan A. K. Suykens, Bart De Moor, Joos Vandewalle:
NLq theory: unifications in the theory of neural networks, systems and control. ESANN 1995 - 1988
- [c1]Bart De Moor, Marc Moonen, Lieven Vandenberghe, Joos Vandewalle:
A geometrical approach for the identification of state space models with singular value decomposition. ICASSP 1988: 2244-2247
Parts in Books or Collections
- 2009
- [p2]Ben Van Calster, Olivier Gevaert
, Caroline Van Holsbeke, Bart De Moor, Sabine Van Huffel, Dirk Timmerman
:
Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. Computational Intelligence and Bioengineering 2009: 111-128 - 2005
- [p1]Qizheng Sheng, Yves Moreau
, Frank De Smet
, Kathleen Marchal
, Bart De Moor:
Advances in Cluster Analysis of Microarray Data. Data Analysis and Visualization in Genomics and Proteomics 2005: 153-173
Informal and Other Publications
- 2023
- [i22]Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens:
Multi-view Kernel PCA for Time series Forecasting. CoRR abs/2301.09811 (2023) - [i21]Vincent Scheltjens
, Lyse Naomi Wamba Momo, Wouter Verbeke, Bart De Moor:
Client Recruitment for Federated Learning in ICU Length of Stay Prediction. CoRR abs/2304.14663 (2023) - [i20]Sonny Achten, Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens:
Duality in Multi-View Restricted Kernel Machines. CoRR abs/2305.17251 (2023) - [i19]Lyse Naomi Wamba Momo, Nyalleng Moorosi, Elaine O. Nsoesie, Frank E. Rademakers, Bart De Moor:
Length of Stay prediction for Hospital Management using Domain Adaptation. CoRR abs/2306.16823 (2023) - 2021
- [i18]Joachim Schreurs, Hannes De Meulemeester, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens:
Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks. CoRR abs/2104.02373 (2021) - 2020
- [i17]Hannes De Meulemeester, Joachim Schreurs, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens:
The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks. CoRR abs/2006.09096 (2020) - 2018
- [i16]Oliver Lauwers, Oscar Mauricio Agudelo, Bart De Moor:
A Multiple-Input Multiple-Output Cepstrum. CoRR abs/1803.03080 (2018) - [i15]Oliver Lauwers, Bart De Moor:
Applicability and interpretation of the deterministic weighted cepstral distance. CoRR abs/1803.03104 (2018) - [i14]Philippe Dreesen, Kim Batselier, Bart De Moor:
Multidimensional Realization Theory and Polynomial System Solving. CoRR abs/1805.02253 (2018) - 2017
- [i13]Oliver Lauwers, Bart De Moor:
A time series distance measure for efficient clustering of input output signals by their underlying dynamics. CoRR abs/1703.01923 (2017) - 2015
- [i12]Marc Claesen, Bart De Moor:
Hyperparameter Search in Machine Learning. CoRR abs/1502.02127 (2015) - [i11]Marc Claesen, Jesse Davis, Frank De Smet, Bart De Moor:
Assessing binary classifiers using only positive and unlabeled data. CoRR abs/1504.06837 (2015) - [i10]Marc Claesen, Frank De Smet, Pieter Gillard, Chantal Mathieu, Bart De Moor:
Building Classifiers to Predict the Start of Glucose-Lowering Pharmacotherapy Using Belgian Health Expenditure Data. CoRR abs/1504.07389 (2015) - 2014
- [i9]Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor:
A Robust Ensemble Approach to Learn From Positive and Unlabeled Data Using SVM Base Models. CoRR abs/1402.3144 (2014) - [i8]Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor:
Fast Prediction with SVM Models Containing RBF Kernels. CoRR abs/1403.0736 (2014) - [i7]Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor:
EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines. CoRR abs/1403.0745 (2014) - [i6]Marc Claesen, Jaak Simm, Dusan Popovic, Yves Moreau, Bart De Moor:
Easy Hyperparameter Search Using Optunity. CoRR abs/1412.1114 (2014) - 2007
- [i5]Diederik Aerts, Marek Czachor, Bart De Moor:
Geometric Analogue of Holographic Reduced Representation. CoRR abs/0710.2611 (2007) - [i4]Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor:
Support and Quantile Tubes. CoRR abs/cs/0703055 (2007) - 2006
- [i3]Diederik Aerts, Marek Czachor, Bart De Moor:
On Geometric Algebra representation of Binary Spatter Codes. CoRR abs/cs/0610075 (2006) - 2005
- [i2]Kristiaan Pelckmans, Ivan Goethals, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor:
Componentwise Least Squares Support Vector Machines. CoRR abs/cs/0504086 (2005) - 2002
- [i1]Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
Intelligence and Cooperative Search by Coupled Local Minimizers. CoRR cs.AI/0210030 (2002)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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