| 2008 |
|---|
| 91 | EE | 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 |
| 90 | EE | 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 |
| 89 | EE | 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) |
| 2007 |
|---|
| 88 | EE | 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 |
| 87 | EE | 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 |
| 86 | EE | 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 |
| 85 | EE | Steven Gillijns,
Bart De Moor:
Unbiased minimum-variance input and state estimation for linear discrete-time systems.
Automatica 43(1): 111-116 (2007) |
| 84 | EE | Steven Gillijns,
Bart De Moor:
Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough.
Automatica 43(5): 934-937 (2007) |
| 83 | EE | Hui Zhao,
Kristof Engelen,
Bart De Moor,
Kathleen Marchal:
CALIB: a Bioconductor package for estimating absolute expression levels from two-color microarray data.
Bioinformatics 23(13): 1700-1701 (2007) |
| 82 | EE | Thomas Dhollander,
Qizheng Sheng,
Karen Lemmens,
Bart De Moor,
Kathleen Marchal,
Yves Moreau:
Query-driven module discovery in microarray data.
Bioinformatics 23(19): 2573-2580 (2007) |
| 81 | EE | Diederik Aerts,
Marek Czachor,
Bart De Moor:
Geometric Analogue of Holographic Reduced Representation
CoRR abs/0710.2611: (2007) |
| 80 | EE | Kristiaan Pelckmans,
Jos De Brabanter,
Johan A. K. Suykens,
Bart De Moor:
Support and Quantile Tubes
CoRR abs/cs/0703055: (2007) |
| 79 | EE | Kristiaan Pelckmans,
Johan A. K. Suykens,
Bart De Moor:
A Convex Approach to Validation-Based Learning of the Regularization Constant.
IEEE Transactions on Neural Networks 18(3): 917-920 (2007) |
| 78 | EE | 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) |
| 77 | EE | 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) |
| 2006 |
|---|
| 76 | EE | 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 |
| 75 | EE | 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 |
| 74 | EE | 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 |
| 73 | EE | Maja Hadzic,
Bart De Moor,
Yves Moreau,
Arek Kasprzyk:
KSinBIT 2006 PC Co-chairs' Message.
OTM Workshops (1) 2006: 647 |
| 72 | EE | 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 |
| 71 | EE | 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 Bioinformatics 7: 160 (2006) |
| 70 | EE | 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 Bioinformatics 7: 43 (2006) |
| 69 | EE | Kristof Engelen,
Bart Naudts,
Bart De Moor,
Kathleen Marchal:
A calibration method for estimating absolute expression levels from microarray data.
Bioinformatics 22(10): 1251-1258 (2006) |
| 68 | EE | Diederik Aerts,
Marek Czachor,
Bart De Moor:
On Geometric Algebra representation of Binary Spatter Codes
CoRR abs/cs/0610075: (2006) |
| 67 | EE | Frizo A. L. Janssens,
Jacqueline Leta,
Wolfgang Glänzel,
Bart De Moor:
Towards mapping library and information science.
Inf. Process. Manage. 42(6): 1614-1642 (2006) |
| 66 | EE | Kristiaan Pelckmans,
Johan A. K. Suykens,
Bart De Moor:
Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods.
Machine Learning 62(3): 217-252 (2006) |
| 2005 |
|---|
| 65 | EE | 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 |
| 64 | EE | Kristiaan Pelckmans,
Johan A. K. Suykens,
Bart De Moor:
Componentwise Support Vector Machines for Structure Detection.
ICANN (2) 2005: 643-648 |
| 63 | EE | Marcelo Espinoza,
Johan A. K. Suykens,
Bart De Moor:
Load Forecasting Using Fixed-Size Least Squares Support Vector Machines.
IWANN 2005: 1018-1026 |
| 62 | EE | 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 |
| 61 | EE | Björn Menten,
Filip Pattyn,
Katleen De Preter,
Piet Robbrecht,
Evi Michels,
Karen Buysse,
Geert Mortier,
Anne De Paepe,
Steven Van Vooren,
Joris Vermeesch,
Yves Moreau,
Bart De Moor,
Stefan Vermeulen,
Frank Speleman,
Jo Vandesompele:
arrayCGHbase: an analysis platform for comparative genomic hybridization microarrays.
BMC Bioinformatics 6: 124 (2005) |
| 60 | EE | 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.
Bioinformatics 21(14): 3185-3186 (2005) |
| 59 | EE | Steffen Durinck,
Yves Moreau,
Arek Kasprzyk,
Sean Davis,
Bart De Moor,
Alvis Brazma,
Wolfgang Huber:
BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis.
Bioinformatics 21(16): 3439-3440 (2005) |
| 58 | EE | 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) |
| 57 | EE | Patrick Glenisson,
Wolfgang Glänzel,
Frizo A. L. Janssens,
Bart De Moor:
Combining full text and bibliometric information in mapping scientific disciplines.
Inf. Process. Manage. 41(6): 1548-1572 (2005) |
| 56 | EE | 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) |
| 55 | EE | Kristiaan Pelckmans,
Marcelo Espinoza,
Jos De Brabanter,
Johan A. K. Suykens,
Bart De Moor:
Primal-Dual Monotone Kernel Regression.
Neural Processing Letters 22(2): 171-182 (2005) |
| 54 | EE | Luc Hoegaerts,
Johan A. K. Suykens,
Joos Vandewalle,
Bart De Moor:
Subset based least squares subspace regression in RKHS.
Neurocomputing 63: 293-323 (2005) |
| 53 | EE | Kristiaan Pelckmans,
Johan A. K. Suykens,
Bart De Moor:
Building sparse representations and structure determination on LS-SVM substrates.
Neurocomputing 64: 137-159 (2005) |
| 52 | EE | 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) |
| 51 | EE | 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 Research 33(Web-Server-Issue): 393-396 (2005) |
| 2004 |
|---|
| 50 | EE | Kristiaan Pelckmans,
Johan A. K. Suykens,
Bart De Moor:
Sparse LS-SVMs using additive regularization with a penalized validation criterion.
ESANN 2004: 435-440 |
| 49 | EE | Kristiaan Pelckmans,
Johan A. K. Suykens,
Bart De Moor:
Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs.
ICONIP 2004: 1216-1222 |
| 48 | EE | 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 |
| 47 | EE | Tijl De Bie,
Johan A. K. Suykens,
Bart De Moor:
Learning from General Label Constraints.
SSPR/SPR 2004: 671-679 |
| 46 | EE | 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.
Artificial Intelligence in Medicine 30(3): 257-281 (2004) |
| 45 | EE | 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.
Bioinformatics 20(12): 1974-1976 (2004) |
| 44 | EE | 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.
Bioinformatics 20(17): 3185-3195 (2004) |
| 43 | EE | Steffen Durinck,
Joke Allemeersch,
Vincent Carey,
Yves Moreau,
Bart De Moor:
Importing MAGE-ML format microarray data into BioConductor.
Bioinformatics 20(18): 3641-3642 (2004) |
| 42 | EE | Arie Yeredor,
Bart De Moor:
On homogeneous least-squares problems and the inconsistency introduced by mis-constraining.
Computational Statistics & Data Analysis 47(3): 455-465 (2004) |
| 41 | EE | 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.
Machine Learning 54(1): 5-32 (2004) |
| 2003 |
|---|
| 40 | | Qizheng Sheng,
Yves Moreau,
Bart De Moor:
Biclustering microarray data by Gibbs sampling.
ECCB 2003: 196-205 |
| 39 | | Stein Aerts,
Peter Van Loo,
Gert Thijs,
Yves Moreau,
Bart De Moor:
Computational detection of cis-regulatory modules.
ECCB 2003: 5-14 |
| 38 | EE | Luc Hoegaerts,
Johan A. K. Suykens,
Joos Vandewalle,
Bart De Moor:
Kernel PLS variants for regression.
ESANN 2003: 200-208 |
| 37 | | B. Vandermeulen,
J. Duflou,
Bart De Moor:
The Role of User Profiles in Vector-Based Information Retrieval.
IKE 2003: 668-669 |
| 36 | EE | 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 |
| 35 | | Patrick Glenisson,
Bert Coessens,
Steven Van Vooren,
Yves Moreau,
Bart De Moor:
Text-Based Gene Profiling with Domain-Specific Views.
SWDB 2003: 15-31 |
| 34 | EE | 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.
Artificial Intelligence in Medicine 29(1-2): 39-60 (2003) |
| 33 | | Kristof Engelen,
Bert Coessens,
Kathleen Marchal,
Bart De Moor:
MARAN: Normalizing Micro-array Data.
Bioinformatics 19(7): 893-894 (2003) |
| 32 | | 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 Research 31(13): 3468-3470 (2003) |
| 31 | EE | Patrick Glenisson,
Janick Mathys,
Bart De Moor:
Meta-clustering of gene expression data and literature-based information.
SIGKDD Explorations 5(2): 101-112 (2003) |
| 30 | EE | 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 Processing 83(2): 439-443 (2003) |
| 29 | EE | Geert Ysebaert,
Katleen Van Acker,
Marc Moonen,
Bart De Moor:
Constraints in channel shortening equalizer design for DMT-based systems.
Signal Processing 83(3): 641-648 (2003) |
| 2002 |
|---|
| 28 | EE | 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 |
| 27 | EE | 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 |
| 26 | | 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.
Bioinformatics 18(2): 331-332 (2002) |
| 25 | | Frank De Smet,
Janick Mathys,
Kathleen Marchal,
Gert Thijs,
Bart De Moor,
Yves Moreau:
Adaptive quality-based clustering of gene expression profiles.
Bioinformatics 18(5): 735-746 (2002) |
| 24 | EE | Johan A. K. Suykens,
Joos Vandewalle,
Bart De Moor:
Intelligence and Cooperative Search by Coupled Local Minimizers
CoRR cs.AI/0210030: (2002) |
| 23 | | 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.
Journal of Computational Biology 9(2): 447-464 (2002) |
| 22 | EE | 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 Computation 14(5): 1115-1147 (2002) |
| 21 | | 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 Processing Letters 15(1): 45-58 (2002) |
| 2001 |
|---|
| 20 | EE | 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 |
| 19 | EE | 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 |
| 18 | EE | 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 |
| 17 | EE | 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 |
| 16 | EE | 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 |
| 15 | | 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.
Bioinformatics 17(12): 1113-1122 (2001) |
| 14 | | 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) |
| 13 | | 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) |
| 12 | EE | Johan A. K. Suykens,
Joos Vandewalle,
Bart De Moor:
Optimal control by least squares support vector machines.
Neural Networks 14(1): 23-35 (2001) |
| 11 | EE | Philippe Lemmerling,
Leentje Vanhamme,
Sabine Van Huffel,
Bart De Moor:
IQML-like algorithms for solving structured total least squares problems: a unified view.
Signal Processing 81(9): 1935-1945 (2001) |
| 2000 |
|---|
| 10 | EE | 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 |
| 9 | EE | 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 |
| 8 | EE | 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 |
| 1997 |
|---|
| 7 | | 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 |
| 6 | EE | Bart De Schutter,
Bart De Moor:
The Extended Linear Complementary Problem and the Modeling and Analysis of Hybrid Systems.
Hybrid Systems 1997: 70-85 |
| 5 | EE | 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) |
| 1996 |
|---|
| 4 | | Johan A. K. Suykens,
Philippe Lemmerling,
W. Favoreel,
Bart De Moor,
M. Crepel,
P. Briol:
Modelling the Belgian Gas Consumption Using Neural Networks.
Neural Processing Letters 4(3): 157-166 (1996) |
| 1995 |
|---|
| 3 | | Bart De Schutter,
Bart De Moor:
The extended linear complementarity problem.
Math. Program. 71: 289-325 (1995) |
| 1994 |
|---|
| 2 | EE | 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) |
| 1992 |
|---|
| 1 | | 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) |
