Bart De Moor

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 49

Top Venues

CoRR

IEEE Control. Syst. Lett.

CDC

Neurocomputing

Publications

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 (2024)
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) (2024)
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)
Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, Bart De Moor
Client Recruitment for Federated Learning in ICU Length of Stay Prediction. CoRR (2023)
Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens
Multi-view kernel PCA for time series forecasting. Neurocomputing 554 (2023)
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) (2023)
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 (2023)
Christof Vermeersch, Sibren Lagauw, Bart De Moor
Multivariate Polynomial Optimization in Complex Variables Is a (Rectangular) Multiparameter Eigenvalue Problem. CDC (2023)
Christof Vermeersch, Bart De Moor
Two Double Recursive Block Macaulay Matrix Algorithms to Solve Multiparameter Eigenvalue Problems. IEEE Control. Syst. Lett. 7 (2023)
Sonny Achten, Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens
Duality in Multi-View Restricted Kernel Machines. CoRR (2023)
Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens
Multi-view Kernel PCA for Time series Forecasting. CoRR (2023)
Sibren Lagauw, Oscar Mauricio Agudelo, Bart De Moor
-Norm Model Reduction Using Walsh's Theorem. IEEE Control. Syst. Lett. 7 (2023)
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)
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)
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) (2023)
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) (2023)
Oliver Lauwers, Christof Vermeersch, Bart De Moor
Cepstral identification of autoregressive systems. Autom. 139 (2022)
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 (2022)
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)
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)
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 (2021)
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)
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) (2021)
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) (2021)
Hannes De Meulemeester, Bart De Moor
Unsupervised Embeddings for Categorical Variables. IJCNN (2020)
Bart De Moor
Least squares optimal realisation of autonomous LTI systems is an eigenvalue problem. Commun. Inf. Syst. 20 (2) (2020)
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) (2020)
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 (2020)
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) (2020)
Christof Vermeersch, Bart De Moor
Globally Optimal Least-Squares ARMA Model Identification is an Eigenvalue Problem. IEEE Control. Syst. Lett. 3 (4) (2019)
Bart De Moor
Least squares realization of LTI models is an eigenvalue problem. ECC (2019)
Bob Vergauwen, Oscar Mauricio Agudelo, Bart De Moor
Order estimation of two dimensional systems based on rank decisions. CDC (2018)
Oliver Lauwers, Oscar Mauricio Agudelo, Bart De Moor
A Multiple-Input Multiple-Output Cepstrum. CoRR (2018)
Oliver Lauwers, Bart De Moor
Applicability and interpretation of the deterministic weighted cepstral distance. CoRR (2018)
Oliver Lauwers, Oscar Mauricio Agudelo, Bart De Moor
A Multiple-Input Multiple-Output Cepstrum. IEEE Control. Syst. Lett. 2 (2) (2018)
Bart De Moor, Yasamin Mostofi, Maryam Kamgarpour, Zdenko Kovacic, Maja Cepanec, Airlie Chapman, Mehran Mesbahi
Plenary Lectures. MED (2018)
Philippe Dreesen, Kim Batselier, Bart De Moor
Multidimensional realisation theory and polynomial system solving. Int. J. Control 91 (12) (2018)
Philippe Dreesen, Kim Batselier, Bart De Moor
Multidimensional Realization Theory and Polynomial System Solving. CoRR (2018)
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) (2017)
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)
Oliver Lauwers, Bart De Moor
A time series distance measure for efficient clustering of input output signals by their underlying dynamics. CoRR (2017)
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 (2015)
Marc Claesen, Bart De Moor
Hyperparameter Search in Machine Learning. CoRR (2015)
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)
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 (2015)
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) (2015)
Dusan Popovic, Jesse Davis, Alejandro Sifrim, Bart De Moor
A Note on the Evaluation of Mutation Prioritization Algorithms. SSCI (2015)
Antoine Vandermeersch, Bart De Moor
A SVD approach to multivariate polynomial optimization problems. CDC (2015)
Marc Claesen, Jesse Davis, Frank De Smet, Bart De Moor
Assessing binary classifiers using only positive and unlabeled data. CoRR (2015)
Minta Thomas, Anneleen Daemen, Bart De Moor
Maximum Likelihood Estimation ofGEVD: Applications in Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (4) (2014)
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 (2014)
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 (2014)
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)
Marc Claesen, Jaak Simm, Dusan Popovic, Yves Moreau, Bart De Moor
Easy Hyperparameter Search Using Optunity. CoRR (2014)
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) (2014)
Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor
Fast Prediction with SVM Models Containing RBF Kernels. CoRR (2014)
Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor
EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines. CoRR (2014)
Kim Batselier, Philippe Dreesen, Bart De Moor
A fast recursive orthogonalization scheme for the Macaulay matrix. J. Comput. Appl. Math. 267 (2014)
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)
Kim Batselier, Philippe Dreesen, Bart De Moor
and Numerical Gröbner and Border Bases. SIAM J. Matrix Anal. Appl. 35 (4) (2014)
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 (2014)
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 (2014)
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) (2013)
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) (2013)
Kris De Brabanter, Jos De Brabanter, Bart De Moor, Irène Gijbels
Derivative estimation with local polynomial fitting. J. Mach. Learn. Res. 14 (1) (2013)
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)
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)
Dusan Popovic, Alejandro Sifrim, Yves Moreau, Bart De Moor
eXtasy simplified-towards opening the black box. BIBM (2013)
Xinhai Liu, Shuiwang Ji, Wolfgang Glänzel, Bart De Moor
Multiview Partitioning via Tensor Methods. IEEE Trans. Knowl. Data Eng. 25 (5) (2013)
Kim Batselier, Philippe Dreesen, Bart De Moor
The Geometry of Multivariate Polynomial Division and Elimination. SIAM J. Matrix Anal. Appl. 34 (1) (2013)
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)
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) (2012)
Dusan Popovic, Alejandro Sifrim, Georgios A. Pavlopoulos, Yves Moreau, Bart De Moor
A Simple Genetic Algorithm for Biomarker Mining. PRIB (2012)
Xinhai Liu, Wolfgang Glänzel, Bart De Moor
Optimal and hierarchical clustering of large-scale hybrid networks for scientific mapping. Scientometrics 91 (2) (2012)
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) (2012)
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)
Philippe Dreesen, Kim Batselier, Bart De Moor
Weighted/Structured Total Least Squares problems and polynomial system solving. ESANN (2012)
Kris De Brabanter, Bart De Moor
Deconvolution in nonparametric statistics. ESANN (2012)
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)
Kim Batselier, Philippe Dreesen, Bart De Moor
maximum likelihood estimation and polynomial system solving. ESANN (2012)
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) (2012)
Maarten Breckpot, Oscar Mauricio Agudelo, Bart De Moor
Model Predictive Control applied to a river system with two reaches. CDC (2012)
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)
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) (2012)
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) (2012)
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) (2012)
Xinhai Liu, Wolfgang Glänzel, Bart De Moor
Hybrid clustering of multi-view data via Tucker-2 model and its application. Scientometrics 88 (3) (2011)
Ernesto Iacucci, Fabian Ojeda, Bart De Moor, Yves Moreau
Predicting Receptor-Ligand Pairs through Kernel Learning. BMC Bioinform. 12 (2011)
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) (2011)
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) (2011)
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 (2011)
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) (2011)
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) (2011)
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)
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) (2010)
Oscar Mauricio Agudelo, Jairo Jose Espinosa, Bart De Moor
Reduction of the computational burden of POD models with polynomial nonlinearities. CDC (2010)
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 (2010)
Maarten Breckpot, Toni Barjas Blanco, Bart De Moor
Flood control of rivers with nonlinear model predictive control and moving horizon estimation. CDC (2010)
Xinhai Liu, Lieven De Lathauwer, Frizo A. L. Janssens, Bart De Moor
Hybrid Clustering of Multiple Information Sources via HOSVD. ISNN (2) (2010)
Maarten Breckpot, Toni Barjas Blanco, Bart De Moor
Flood control of rivers with Model Predictive Control. ACC (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bart De Moor