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    Author information
    First name: Bart De
    Last name: Moor
    DBLP: 66/3559
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    Below you find the publications which have been written by this author.

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    Conference paper
    Oliver Lauwers, Bart De Moor.
    A time series distance measure for efficient clustering of input output signals by their underlying dynamics.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Oliver Lauwers, Bart De Moor.
    A Time Series Distance Measure for Efficient Clustering of Input/Output Signals by Their Underlying Dynamics.
    IEEE Control Systems Letters 2017, Volume 1 (0) 2017
    Journal article
    Marc Claesen, Bart De Moor.
    Hyperparameter Search in Machine Learning.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    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 2015, Volume 160 (0) 2015
    Journal article
    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, Volume 0 (0) 2015
    Journal article
    Marc Claesen, Jesse Davis, Frank De Smet, Bart De Moor.
    Assessing binary classifiers using only positive and unlabeled data.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    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 Bioinformatics 2015, Volume 16 (0) 2015
    Conference paper
    Antoine Vandermeersch, Bart De Moor.
    A SVD approach to multivariate polynomial optimization problems.
    54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, December 15-18, 2015 2015 (0) 2015
    Conference paper
    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.
    IEEE Symposium Series on Computational Intelligence, SSCI 2015, Cape Town, South Africa, December 7-10, 2015 2015 (0) 2015
    Conference paper
    Dusan Popovic, Jesse Davis, Alejandro Sifrim, Bart De Moor.
    A Note on the Evaluation of Mutation Prioritization Algorithms.
    IEEE Symposium Series on Computational Intelligence, SSCI 2015, Cape Town, South Africa, December 7-10, 2015 2015 (0) 2015
    Journal article
    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, Volume 0 (0) 2014
    Journal article
    Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor.
    Fast Prediction with SVM Models Containing RBF Kernels.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor.
    EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Minta Thomas, Kris De Brabanter, Bart De Moor.
    New Bandwidth Selection Criterion for Kernel PCA: Approach to Dimensionality Reduction and Classification Problems.
    BMC Bioinformatics 2014, Volume 15 (0) 2014
    Journal article
    Marc Claesen, Frank De Smet, Johan A. K. Suykens, Bart De Moor.
    EnsembleSVM: a library for ensemble learning using support vector machines.
    Journal of Machine Learning Research 2014, Volume 15 (0) 2014
    Journal article
    Rocco Langone, Oscar Mauricio Agudelo, Bart De Moor, Johan A. K. Suykens.
    Incremental kernel spectral clustering for online learning of non-stationary data.
    Neurocomputing 2014, Volume 139 (0) 2014
    Conference paper
    Minta Thomas, Anneleen Daemen, Bart De Moor.
    Maximum Likelihood Estimation ofGEVD: Applications in Bioinformatics.
    IEEE/ACM Trans. Comput. Biology Bioinform. 2014, Volume 11 (0) 2014
    Journal article
    Kim Batselier, Philippe Dreesen, Bart De Moor.
    A fast recursive orthogonalization scheme for the Macaulay matrix.
    J. Computational Applied Mathematics 2014, Volume 267 (0) 2014
    Conference paper
    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.
    2014 IEEE 27th International Symposium on Computer-Based Medical Systems, New York, NY, USA, May 27-29, 2014 2014 (0) 2014
    Journal article
    Marc Claesen, Jaak Simm, Dusan Popovic, Yves Moreau, Bart De Moor.
    Easy Hyperparameter Search Using Optunity.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    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.
    2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, MCDM 2014, Orlando, FL, USA, December 9-12, 2014 2014 (0) 2014
    Conference paper
    Minta Thomas, Kris De Brabanter, Johan A. K. Suykens, Bart De Moor.
    Predicting breast cancer using an expression values weighted clinical classifier.
    BMC Bioinformatics 2014, Volume 15 (0) 2014
    Conference paper
    Kim Batselier, Philippe Dreesen, Bart De Moor.
    The Canonical Decomposition of
    SIAM J. Matrix Analysis Applications 2014, Volume 35 (0) 2014
    Conference paper
    Xinhai Liu, Shuiwang Ji, Wolfgang Glänzel, Bart De Moor.
    Multiview Partitioning via Tensor Methods.
    IEEE Trans. Knowl. Data Eng. 2013, Volume 25 (0) 2013
    Journal article
    Adeshola A. Adefioye, Xinhai Liu, Bart De Moor.
    Multi-view spectral clustering and its chemical application.
    I. J. Computational Biology and Drug Design 2013, Volume 6 (0) 2013
    Show item 1 to 25 of 265  

    Your query returned 265 matches in the database.