RECT
Place de l'Université 1/L0.01.02
1348 Louvain-la-Neuve
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- Michel Verleysen
Michel Verleysen
Professeur ordinaire
Germany Morrison, Enrique Ignacio ; Teixeira, Igor ; Danthine, Venethia ; Santalucia, Roberto ; Cakiroglu, Inci ; Torres Sánchez, Andrés ; Verleysen, Michel ; Delbeke, Jean ; Nonclercq, Antoine ; El Tahry, Riëm. Functional brain connectivity indexes derived from low-density EEG of pre-implanted patients as VNS outcome predictors. In: Journal of Neural Engineering, (2023). doi:10.1088/1741-2552/acf1cd (Accepté/Sous presse).
Walter Serna-Serna ; De Bodt, Cyril ; Andres M. Alvarez-Meza ; Lee, John Aldo ; Verleysen, Michel ; Alvaro A. Orozco-Gutierrez. Semi-supervised t-SNE with multi-scale neighborhood preservation. In: Neurocomputing, Vol. 550, no.1, p. 126496 (2023). doi:10.1016/j.neucom.2023.126496.
van den Elzen, Stef ; Andrienko, Gennady ; Andrienko, Natalia ; Fisher, Brian D ; Martins, Rafael M ; Peltonen, Jaakko ; Telea, Alexandru C ; Verleysen, Michel. The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. In: IEEE Computer Graphics and Applications, Vol. 43, no.2, p. 78-88 (2023).
Lambert, Pierre ; De Bodt, Cyril ; Verleysen, Michel ; Lee, John Aldo. SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. In: Neurocomputing, Vol. 503, p. 17-27 (2022).
Degeest, Alexandra ; Frénay, Benoît ; Verleysen, Michel. Reading grid for feature selection relevance criteria in regression. In: Pattern Recognition Letters, Vol. 148, p. 92-99 (2021). doi:10.1016/j.patrec.2021.04.031.
Mulders, Dounia ; De Bodt, Cyril ; Lejeune, Nicolas ; Courtin, Arthur ; Liberati, Giulia ; Verleysen, Michel ; Mouraux, André. Dynamics of the perception and EEG signals triggered by tonic warm and cool stimulation. In: PloS one, Vol. 15, no. 4, p. e0231698 [1-25] (2020). doi:10.1371/journal.pone.0231698.
De Bodt, Cyril ; Mulders, Dounia ; Verleysen, Michel ; Lee, John Aldo. Fast Multiscale Neighbor Embedding. In: IEEE Transactions on Neural Networks and Learning Systems, Vol. 33, no. 4, p. 1546 - 1560 (2022). doi:10.1109/TNNLS.2020.3042807.
Mulders, Dounia ; De Bodt, Cyril ; Bjelland, Johannes ; Pentland, Alex ; Verleysen, Michel ; de Montjoye, Yves-Alexandre. Inference of node attributes from social network assortativity. In: Neural Computing and Applications, Vol. 32, no. /, p. 18023-18043 (December 2020). doi:10.1007/s00521-018-03967-z.
Coelho, Frederico ; Costa, Marcelo ; Verleysen, Michel ; Braga, Antônio P.. LASSO multi-objective learning algorithm for feature selection. In: Soft Computing, Vol. 24, no.4, p. 9 (2020). doi:10.1007/s00500-020-04734-w.
De Bodt, Cyril ; Mulders, Dounia ; Verleysen, Michel ; Lee, John Aldo. Nonlinear Dimensionality Reduction with Missing Data using Parametric Multiple Imputations. In: I E E E Transactions on Neural Networks and Learning Systems, Vol. 30, no. 4, p. 1166-1179 (2019). doi:10.1109/TNNLS.2018.2861891.
Kesiman, Made Windu Antara ; Valy, Dona ; Burie, Jean-Christophe ; Paulus, Erick ; Suryani, Mira ; Hadi, Setiawan ; Verleysen, Michel ; Chhun, Sophea ; Ogier, Jean-Marc. Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia. In: Journal of Imaging, Vol. 4, no.43, p. 27 (2018). doi:10.3390/jimaging4020043.
El Mahrsi, Mohamed K. ; Come, Etienne ; Oukhellou, Latifa ; Verleysen, Michel. Clustering smart card data for urban mobility analysis. In: IEEE Transactions on Intelligent Transportation Systems, Vol. 18, no.3, p. 712-728 (2017). doi:10.1109/tits.2016.2600515.
Feraud, Baptiste ; Munaut, Carine ; Martin, Manon ; Verleysen, Michel ; Govaerts, Bernadette. Combining strong sparsity and competitive predictive power with the L-sOPLS approach for biomarker discovery in metabolomics. In: Metabolomics, Vol. 13, no. 130, p. 15 (2017). doi:10.1007/s11306-017-1275-y.
Feraud, Baptiste ; Rousseau, Rejane ; Tullio, Pascal de ; Verleysen, Michel ; Govaerts, Bernadette. Independent Component Analysis and Statistical Modelling for the Identification of Metabolomics Biomarkers in 1H-NMR Spectroscopy. In: Journal of Biometrics & Biostatistics, Vol. 8, no. 4 (2017) (2017). doi:10.4172/2155-6180.1000367.
Alvarez-Meza, A.M. ; Lee, John Aldo ; Verleysen, Michel ; Castellanos-Dominguez, G.. Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity. In: Neurocomputing, Vol. 222, no./, p. 36-46 (2017). doi:10.1016/j.neucom.2016.10.004.
Coelho, Frederico ; Castro, Cristiano ; Braga, Antônio P. ; Verleysen, Michel. Semi-supervised relevance index for feature selection. In: Neural Computing and Applications, Vol. 31, p. 989-997 (2017). doi:10.1007/s00521-017-3062-0.
Keim, Daniel A. ; Munzner, Tamara ; Rossi, Fabrice ; Verleysen, Michel. Bridging Information Visualization with Machine Learning. In: Dagstuhl Reports, Vol. 5, no. 3, p. 1-27 (2015). doi:10.4230/DagRep.5.3.1.
Frénay, Benoît ; Verleysen, Michel. Classification in the Presence of Label Noise: a Survey. In: IEEE Transactions on Neural Networks and Learning Systems, Vol. 25, no. 5, p. 845-869 (10/04/2015). doi:10.1109/TNNLS.2013.2292894.
Bernard, Guillaume ; Verleysen, Michel ; Lee, John Aldo. Incremental classification of objects in scenes: Application to the delineation of images. In: Neurocomputing, Vol. 152, no.1, p. 45-57 (2015). doi:10.1016/j.neucom.2014.11.020.
Lee, John Aldo ; Peluffo-Ordóñez, Diego H. ; Verleysen, Michel. Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. In: Neurocomputing, Vol. 169, no./, p. 246-261 (2015). doi:10.1016/j.neucom.2014.12.095.
Frénay, Benoît ; Verleysen, Michel. Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers. In: IEEE Transactions on Cybernetics, no. 99, p. 13 (17/12/2015). doi:10.1109/TCYB.2015.2504404.
Feraud, Baptiste ; Govaerts, Bernadette ; Verleysen, Michel ; de Tullio, Pascal. Statistical treatment of 2D NMR COSY spectra in metabolomics: data preparation, clustering-based evaluation of the Metabolomic Informative Content and comparison with 1H-NMR. In: Metabolomics, Vol. 11, no. 6, p. 1756-1768 (2015). doi:10.1007/s11306-015-0830-7.
Frénay, Benoît ; Doquire, Gauthier ; Verleysen, Michel. Estimating Mutual information for feature selection in the presence of label noise. In: Computational Statistics & Data Analysis, Vol. 71, p. 832-848 (1 May 2013). doi:10.1016/j.csda.2013.05.001.
Frénay, Benoît ; Verleysen, Michel. Pointwise probability reinforcements for robust statistical inference. In: Neural Networks, Vol. 50, p. 124-141 (14 November 2013). doi:10.1016/j.neunet.2013.11.012.
Bernard, G. ; Verleysen, Michel ; Lee, John Aldo. SU-C-18A-03: Automatic Organ at Risk Delineation with Machine Learning Techniques. In: Medical Physics, Vol. 41, no.6, p. 101 (2014). doi:10.1118/1.4887830.
Peluffo Ordoñez, Diego Hernan ; Lee, John Aldo ; Verleysen, Michel. Short review of dimensionality reduction methods based on stochastic neighbour embedding. In: Advances in Self-Organizing Maps and Learning Vector Quantization, Vol. 295, no.part I, p. 65-74 (2014). doi:10.1007/978-3-319-07695-9_6.
Doquire, Gauthier ; Verleysen, Michel. A graph Laplacian based approach to semi-supervised feature selection for regression problems. In: Neurocomputing, Vol. 121, p. 5-13 (09/12/2013). doi:10.1016/j.neucom.2012.10.028.
Eirola, Emile ; Doquire, Gauthier ; Verleysen, Michel ; Landasse, Amaury. Distance estimation in numerical data sets with missing values. In: Information Sciences, Vol. 240, p. 115-128 (10/08/2013). doi:10.1016/j.ins.2013.03.043.
Frénay, Benoît ; van Heeswijk, Mark ; Miche, Yoan ; Verleysen, Michel ; Lendasse, Amaury. Feature selection for nonlinear models with extreme learning machines. In: Neurocomputing, Vol. 102, p. 111-124 (15 February 2013). doi:10.1016/j.neucom.2011.12.055.
Frénay, Benoît ; Doquire, Gauthier ; Verleysen, Michel. Is mutual information adequate for feature selection in regression?. In: Neural Networks, Vol. 48, p. 1-7 (4 July 2013). doi:10.1016/j.neunet.2013.07.003.
Doquire, Gauthier ; Verleysen, Michel. Mutual information-based feature selection for multilabel classification. In: Neurocomputing, Vol. 122, p. 148-155 (25/12/2013). doi:10.1016/j.neucom.2013.06.035.
Frénay, Benoît ; Doquire, Gauthier ; Verleysen, Michel. Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification. In: Neurocomputing, Vol. 112, p. 64-78 (2013). doi:10.1016/j.neucom.2012.12.051.
de Montjoye, Yves-Alexandre ; Hidalgo, César A. ; Verleysen, Michel ; Blondel, Vincent. Unique in the Crowd: The privacy bounds of human mobility. In: Scientific Reports, Vol. 3, no.1376, p. 1-5 (March 2013). doi:10.1038/srep01376.
Doquire, Gauthier ; Verleysen, Michel. Feature selection with missing data using mutual information estimators. In: Neurocomputing, Vol. 90, no.1, p. 3-11 (August 2012). doi:10.1016/j.neucom.2012.02.031.
de Lannoy, Gaël ; François, Damien ; Delbeke, Jean ; Verleysen, Michel. Weighted conditional random fields for supervised interpatient heartbeat classification. In: IEEE Transactions on Biomedical Engineering, Vol. 59, no. 1, p. 241-7 (2012). doi:10.1109/TBME.2011.2171037.
Doquire, Gauthier ; de Lannoy, Gaël ; François, Damien ; Verleysen, Michel. Feature selection for supervised inter-patient heart beat classification. In: Computational Intelligence and Neuroscience, Vol. 2011, no. 643816, p. 1-9 (2011). doi:10.1155/2011/643816.
De Decker, Arnaud ; François, Damien ; Verleysen, Michel ; Lee, John Aldo. Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising. In: Neurocomputing, Vol. 74, no. 9, p. 1402-1410 (April 2011). doi:10.1016/j.neucom.2010.12.013.
Frénay, Benoît ; Verleysen, Michel. Parameter-insensitive kernel in extreme learning for non-linear support vector regression. In: Neurocomputing, Vol. 74, no.16, p. 2526-2531 (September 2011). doi:10.1016/j.neucom.2010.11.037.
De Decker, Arnaud ; Lee, John Aldo ; Verleysen, Michel. A principled approach to image denoising with similarity kernels involving patches. In: Neurocomputing, Vol. 73, no. 7-9, p. 1199-1209 (2010). doi:10.1016/j.neucom.2009.12.022.
Thomas, Isabelle ; Frankhauser, Pierre ; Frénay, Benoît ; Verleysen, Michel. Clustering patterns of urban built-up areas with curves of fractal scaling behaviour. In: Environment and Planning B. Planning and Design, Vol. 37, no. 5, p. 942-954 (2010). doi:10.1068/b36039.
Lee, John Aldo ; Verleysen, Michel. Scale-independent quality criteria for dimensionality reduction. In: Pattern Recognition Letters, Vol. 31, no. 14, p. 2248-2257 (2010). doi:10.1016/j.patrec.2010.04.013.
Gomez-Verdejo, Vanessa ; Verleysen, Michel ; Fleury, Jerome. Information-theoretic feature selection for functional data classification. In: Neurocomputing, Vol. 72, no. 16-18, p. 3580-3589 (2009). doi:10.1016/j.neucom.2008.12.035.
Garcia-Laencina, Pedro J. ; Sancho-Gomez, Jose-Luis ; Figueiras-Vidal, Anibal R. ; Verleysen, Michel. K nearest neighbours with mutual information for simultaneous classification and missing data imputation. In: Neurocomputing, Vol. 72, no. 7-9, p. 1483-1493 (2009). doi:10.1016/j.neucom.2008.11.026.
Onclinx, Victor ; Wertz, Vincent ; Verleysen, Michel. Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity. In: Neurocomputing, Vol. 72, no. 7-9, p. 1444-1454 (2009). doi:10.1016/j.neucom.2008.12.018.
Lee, John Aldo ; Verleysen, Michel. Quality assessment of dimensionality reduction: Rank-based criteria. In: Neurocomputing, Vol. 72, no. 7-9, p. 1431-1443 (2009). doi:10.1016/j.neucom.2008.12.017.
Liitiainen, Elia ; Verleysen, Michel ; Corona, Francesco ; Lendasse, Amaury. Residual variance estimation in machine learning. In: Neurocomputing, Vol. 72, no. 16-18, p. 3692-3703 (2009). doi:10.1016/j.neucom.2009.07.004.
Assenza, Alex ; Valle, Maurizio ; Verleysen, Michel. A Comparative Study of Various Probability Density Estimation Methods for Data Analysis. In: International Journal Of Computational Intelligence Systems, Vol. 1, no. 2, p. 188-201 (2008). doi:10.1080/18756891.2008.9727616.
Krier, Catherine ; Rossi, Fabrice ; François, Damien ; Verleysen, Michel. A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis. In: Chemometrics and Intelligent Laboratory Systems, Vol. 91, no. 1, p. 43-53 (2008). doi:10.1016/j.chemolab.2007.09.004.
Lee, John Aldo ; Vrins, Frédéric ; Verleysen, Michel. Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition. In: Neurocomputing, Vol. 72, no. 1-3, p. 47-56 (2008). doi:10.1016/j.neucom.2007.12.047.
Delannay, Nicolas ; Verleysen, Michel. Collaborative filtering with interlaced generalized linear models. In: Neurocomputing, Vol. 71, no. 7-9, p. 1300-1310 (2008). doi:10.1016/j.neucom.2007.12.021.
Rousseau, Réjane ; Govaerts, Bernadette ; Verleysen, Michel ; Boulanger, Bruno. Comparison of some chemometric tools for metabonomics biomarker identification. In: Chemometrics and Intelligent Laboratory Systems, Vol. 91, no. 1, p. 54-66 (2008). doi:10.1016/j.chemolab.2007.06.008.
de Lannoy, Gaël ; Marin, Jorge ; Verleysen, Michel ; Delbeke, Jean. Filtering Heart Related Activity from Vagus Nerve Recordings in Rats. In: Biomedical Technology, Vol. 53, no. supp.1, p. 16-18 (2008).
Archambeau, Cedric ; Delannay, Nicolas ; Verleysen, Michel. Mixtures of robust probabilistic principal component analyzers. In: Neurocomputing, Vol. 71, no. 7-9, p. 1274-1282 (2008). doi:10.1016/j.neucom.2007.11.029.
Mujica, L. E. ; Vehi, J. ; Ruiz, M. ; Verleysen, Michel ; Staszewski, W. ; Worden, K.. Multivariate statistics process control for dimensionality reduction in structural assessment. In: Mechanical Systems and Signal Processing, Vol. 22, no. 1, p. 155-171 (2008). doi:10.1016/j.ymssp.2007.05.001.
Pham, Dinh-Tuan ; Vrins, Frédéric ; Verleysen, Michel. On the risk of using Renyi's entropy for blind source separation. In: IEEE Transactions on Signal Processing, Vol. 56, no. 10, p. 4611-4620. doi:10.1109/TSP.2008.928109.
Vrins, Frédéric ; Lee, John Aldo ; Verleysen, Michel. A minimum-range approach to blind extraction of bounded sources.. In: IEEE Transactions on Neural Networks, Vol. 18, no. 3, p. 809-822 (2007). doi:10.1109/TNN.2006.889941.
Lespinats, Sylvain ; Verleysen, Michel ; Giron, Alain ; Fertil, Bernard. DD-HDS: A method for visualization and exploration of high-dimensional data. In: IEEE Transactions on Neural Networks, Vol. 18, no. 5, p. 1265-1279 (2007). doi:10.1109/TNN.2007.891682.
Rossi, Fabrice ; François, Damien ; Wertz, Vincent ; Meurens, Marc ; Verleysen, Michel. Fast selection of spectral variables with B-spline compression. In: Chemometrics and Intelligent Laboratory Systems, Vol. 86, no. 2, p. 208-218 (2007). doi:10.1016/j.chemolab.2006.06.007.
Simon, Geoffroy ; Lee, John Aldo ; Cottrell, Marie ; Verleysen, Michel. Forecasting the CATS benchmark with the Double Vector Quantization method. In: Neurocomputing, Vol. 70, no. 13-15, p. 2400-2409 (2007). doi:10.1016/j.neucom.2005.12.137.
Simon, Geoffroy ; Verleysen, Michel. High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria. In: Neurocomputing, Vol. 70, no. 7-9, p. 1265-1275 (2007). doi:10.1016/j.neucom.2006.10.150.
Biga Diambeidou, Mahamadou ; Wertz, Vincent ; Verleysen, Michel ; Janssen, Frank ; Gailly, Benoît ; François, Damien. Les trajectoires de croissance des jeunes entreprises. In: Gestion 2000, Vol. 24, no. 3, p. 83-102 (2007).
Vrins, Frédéric ; Pham, Dinh-Tuan ; Verleysen, Michel. Mixing and non-mixing local minima of the entropy contrast for blind source separation. In: IEEE Transactions on Information Theory, Vol. 53, no. 3, p. 1030-1042 (2007). doi:10.1109/TIT.2006.890716.
Caetano, Sonia ; Krier, Catherine ; Verleysen, Michel ; Heyden, Yvan Vander. Modelling the quality of enantiomeric separations using Mutual Information as an alternative variable selection technique. In: Analytica Chimica Acta, Vol. 602, no. 1, p. 37-46 (2007). doi:10.1016/j.aca.2007.08.048.
François, Damien ; Rossi, Fabrice ; Wertz, Vincent ; Verleysen, Michel. Resampling methods for parameter-free and robust feature selection with mutual information. In: Neurocomputing, Vol. 70, no. 7-9, p. 1265-1275 (2007). doi:10.1016/j.neucom.2006.11.019.
Archambeau, Cédric ; Verleysen, Michel. Robust Bayesian clustering.. In: Neural networks : the official journal of the International Neural Network Society, Vol. 20, no. 1, p. 129-138 (2007). doi:10.1016/j.neunet.2006.06.009.
François, Damien ; Wertz, Vincent ; Verleysen, Michel. The concentration of fractional distances. In: IEEE Transactions on Knowledge & Data Engineering, Vol. 19, no. 7, p. 873-886 (2007). doi:10.1109/TKDE.2007.1037.
Lendasse, Amaury ; Oja, Erkki ; Simula, Olli ; Verleysen, Michel. Time series prediction competition: The CATS benchmark. In: Neurocomputing, Vol. 70, no. 13-15, p. 2325-2329 (2007). doi:10.1016/j.neucom.2007.02.013.
Cottrell, Marie ; Verleysen, Michel. Advances in self-organizing maps - Introduction. In: Neural Networks, Vol. 19, no. 6-7, p. 721-722 (2006). doi:10.1016/j.neunet.2006.05.011.
Rossi, Fabrice ; Lendasse, Amaury ; François, Damien ; Wertz, Vincent ; Verleysen, Michel. Mutual information for the selection of relevant variables in spectrometric nonlinear modelling. In: Chemometrics and Intelligent Laboratory Systems, Vol. 80, no. 2, p. 215-226 (2006). doi:10.1016/j.chemolab.2005.06.010.
Simon, Geoffroy ; Lee, John Aldo ; Verleysen, Michel. Unfolding preprocessing for meaningful time series clustering.. In: Neural networks : the official journal of the International Neural Network Society, Vol. 19, no. 6-7, p. 877-888 (2006). doi:10.1016/j.neunet.2006.05.020.
Vrins, Frédéric ; Verleysen, Michel. Information theoretic versus cumulant-based contrasts for multimodal source separation. In: IEEE Signal Processing Letters, Vol. 12, no. 3, p. 190-193 (Mars 2005). doi:10.1109/LSP.2004.840863.
Lee, John Aldo ; Verleysen, Michel. Nonlinear dimensionality reduction of data manifolds with essential loops. In: Neurocomputing, Vol. 67, p. 29-53 (2005). doi:10.1016/j.neucom.2004.11.042.
Vrins, Frédéric ; Verleysen, Michel. On the entropy minimization of a linear mixture of variables for source separation. In: Signal Processing, Vol. 85, no. 5, p. 1029-1044 (2005). doi:10.1016/j.sigpro.2004.11.026.
Lendasse, Amaury ; François, Damien ; Wertz, Vincent ; Verleysen, Michel. Vector quantization: a weighted version for time series forecasting. In: Future Generation Computer Systems, Vol. 21, no.7, p. 1056-1067 (07/2005). doi:10.1016/j.future.2004.03.006.
Benoudjit, Nabil ; Cools, E ; Meurens, Marc ; Verleysen, Michel. Chemometric calibration of infrared spectrometers: selection and validation of variables by non-linear models. In: Chemometrics and Intelligent Laboratory Systems, Vol. 70, no. 1-2, p. 47-53 (2004). doi:10.1016/j.chemolab.2003.10.008.
Dualibe, Carlos ; Jespers, Paul ; Verleysen, Michel. Designing Mixed-signal programmable fuzzy logic controllers as embedded subsystems in standard CMOS technologies. In: Journal of Integrated Circuits and Systems, Vol. 1, no. 1, p. 14-22 (March 2004).
Simon, Geoffroy ; Lendasse, Amaury ; Cottrell, Marie ; Fort, Jean-Claude ; Verleysen, Michel. Double quantization of the regressor space for long-term time series prediction: method and proof of stability.. In: Neural networks : the official journal of the International Neural Network Society, Vol. 17, no. 8-9, p. 1169-1181 (Octobre-Novembre 2004). doi:10.1016/j.neunet.2004.08.008.
Lee, John Aldo ; Lendasse, Amaury ; Verleysen, Michel. Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. In: Neurocomputing, Vol. 57, p. 49-76 (03/2004). doi:10.1016/j.neucom.2004.01.007.
de Bodt, Eric ; Cottrell, Marie ; Letremy, Patrick ; Verleysen, Michel. On the use of self-organizing maps to accelerate vector quantization. In: Neurocomputing, Vol. 56, p. 187-203 (2004). doi:10.1016/j.neucom.2003.09.009.
Archambeau, Cédric ; Delbeke, Jean ; Veraart, Claude ; Verleysen, Michel. Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind. In: Artificial Intelligence in Medicine, Vol. 32, no. 3, p. 183-194 (2004). doi:10.1016/j.artmed.2004.02.004.
Lendasse, Amaury ; Cardon, P. ; Wertz, Vincent ; de Bodt, Eric ; Verleysen, Michel. Self-organizing Feature Maps for the Classificaion of Investment Funds. In: European Journal of Economic and Social Systems, Vol. 17, no. 1-2, p. 183-195 (2004).
Amerijckx, Christophe ; Legat, Jean-Didier ; Verleysen, Michel. Image Compression Using Self-Organizing Maps. In: Systems Analysis Modelling Simulation, Vol. 43, no. 11, p. 1529-1543 (2003). doi:10.1080/0232929032000115182.
Benoudjit, Nabil ; Verleysen, Michel. On the kernel widths in radial-basis function networks. In: Neural Processing Letters, Vol. 18, no. 2, p. 139-154 (2003). doi:10.1023/A:1026289910256.
De Lima, Jader A. ; Silva, Sidney F. ; Cordeiro, Adriano S. ; Verleysen, Michel. A CMOS/SOI single-input PWM discriminator for low-voltage body-implanted applications. In: VLSI Design, Vol. 15, no. 1, p. 469-476 (2002). doi:10.1080/1065514021000012075.
Verleysen, Michel ; Vandewalle, J.. Fundamental and information processing aspects of neurocomputing. In: Neurocomputing, Vol. 136, no. special (2014).
Lee, John Aldo ; Verleysen, Michel. Self-organizing maps with recursive neighborhood adaptation.. In: Neural networks : the official journal of the International Neural Network Society, Vol. 15, no. 8-9, p. 993-1003 (2002).
Verleysen, Michel ; Vandewalle, J.. Special issue on fundamental and information processing aspects of neurocomputing. In: Neurocomputing, Vol. 48, no. 1-4, p. 1-2 (2002). doi:10.1016/S0925-2312(01)00667-1.
de Bodt, Eric ; Cottrell, Marie ; Verleysen, Michel. Statistical tools to assess the reliability of self-organizing maps. In: Neural Networks, Vol. 15, no. 8-9, p. 967-978 (2002). doi:10.1016/S0893-6080(02)00071-0.
Lendasse, Amaury ; Lee, John Aldo ; de Bodt, Eric ; Wertz, Vincent ; Verleysen, Michel. Dimension reduction of technical indicators for the prediction of financial time series - Application to the BEL20 Market Index. In: European Journal of Economic and Social Systems, Vol. 15, no. 2, p. 31-48 (2001). doi:10.1051/ejess:2001114.
Lendasse, Amaury ; de Bodt, Eric ; Wertz, Vincent ; Verleysen, Michel. Non linear financial time series forecasting - Aplication to the Bel 20 stock market index. In: European Journal of Economic and Social Systems, Vol. 14, no. 1, p. 81-91 (2000). doi:10.1051/ejess:2000110.
Amerijckx, C ; Legat, Jean-Didier ; Verleysen, Michel ; Thissen, P.. Image compression by self-organized Kohonen map. In: IEEE Transactions on Neural Networks, Vol. 9, no. 3, p. 503-507 (1998). doi:10.1109/72.668891.
Dualibe, C ; Jespers, Paul ; Verleysen, Michel. Two-quadrant CMOS analogue divider. In: Electronics Letters, Vol. 34, no. 12, p. 1164-1165 (1998). doi:10.1049/el:19980861.
Hlavackova, Katerina ; Verleysen, Michel. Placing spline knots in neural networks using splines as activation functions. In: Neurocomputing, Vol. 17, no. 3-4, p. 159-167 (November 1997). doi:10.1016/S0925-2312(97)00053-2.
Madrenas, J. ; Verleysen, Michel ; Thissen, P. ; Voz, JL.. A CMOS analog circuit for Gaussian functions. In: IEEE Transactions on Circuits and Systems Part 2: Analog and Digital Signal Processing, Vol. 43, no. 1, p. 70-74 (1996). doi:10.1109/82.481479.
Verleysen, Michel ; Thissen, P. ; Voz, JL. ; Madrenas, J.. An Analog Processor Architecture for a Neural-network Classifier. In: IEEE Micro, Vol. 14, no. 3, p. 16-28 (1994). doi:10.1109/40.285221.
Verleysen, Michel ; Cabestany, Joan. Projet ESPRIT ELENA. Réalisations VLSI de réseaux de neurones. In: Revue VALGO, bulletin de l'ACTH n°94-1, Vol. 94, no. 1, p. 75-87 (January 1994).
Macq, D. ; Jespers, Paul ; Legat, Jean-Didier ; Verleysen, Michel. Analog Implementation of a Kohonen Map With On-chip Learning. In: IEEE Transactions on Neural Networks, Vol. 4, no. 3, p. 456-461 (1993). doi:10.1109/72.217188.
Verleysen, Michel ; Sirletti, B. ; Vandemeulebroecke, A. ; Jespers, PGA.. A High-storage Capacity Content-addressable Memory and its Learning Algorithm. In: IEEE Transactions on Circuits and Systems, Vol. 36, no. 5, p. 762-766 (1989). doi:10.1109/31.31325.
Verleysen, Michel ; Jespers, PGA.. An Analog Vlsi Implementation of Hopfield's Neural Network. In: IEEE Micro, Vol. 9, no. 6, p. 46-55 (1989). doi:10.1109/40.42986.
Verleysen, Michel ; Sirletti, Bruno ; Vandemeulebroecke, André ; Jespers, Paul. Neural networks for high-storage content-addressable memories: VLSI circuit and learning algorithm. In: IEEE Journal of Solid State Circuits, Vol. 24, no. 3, p. 562-569 (June 1989). doi:10.1109/4.32008.
Verleysen, Michel. ESANN 2021, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2021: Proceedings, 2021. 9782875870810.
Verleysen, Michel. 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2020. 978-2-87587-073-5.
Verleysen, Michel. 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning , 2019. 978-287587065-0.
Verleysen, Michel. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2015: Proceedings, Michel Verleysen, 2015. 978-287587014-8. 613 p.
Verleysen, Michel. 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine learning 2014: Proceedings, Michel Verleysen, 2014. 978-287419095-7. 730 p.
Verleysen, Michel. 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: Proceedings, i6doc.com: Louvain-la-Neuve (Belgium), 2013. 978-2-8741-9081-0. 598 p.
Borgelt, C. ; Gil, Maria Angeles ; Souza, Joao M.C. ; Verleysen, Michel. Towards Advanced Data Analysis by Combining Soft Computing and Statistics, Springer: Berlin, 2013. 978-3-642-30277-0. 378 p.
Verleysen, Michel. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2012: Proceedings, i6doc.com, 2012. 978-2-87419-049-0. 664 p.
ESANN 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2011: Proceedings, éd. Verleysen, Michel, i6doc.com: Louvain-la-Neuve (Belgium), 2011. 978-2-87419-044-5. 509 p.
18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2010: Proceedings, éd. Verleysen, Michel, d-side publ.: Evere (Belgium), 2010. 2-930307-10-2. 568 p.
17th European Symposium On Artificial Neural Networks - Advances in Computational Intelligence and Learning 2009 : Proceedings, éd. Verleysen, Michel, d-side publ.: Evere (Belgium), 2009. 2-930307-09-9. 616 p.
Similarity-Based Clustering - Recent Developments and Biomedical Applications, éd. Verleysen, Michel, Thomas Villmann, Michael Biehl, Barbara Hammer, Michel Verleysen, 2009. 978-3-642-01804-6. 203 p.
16th European Symposium On Artificial Neural Networks - Advances in Computational Intelligence and Learning 2008: Proceedings, éd. Verleysen, Michel, d-side publ.: Evere (Belgium), 2008. 2-930307-08-0. 555 p.
15th European Symposium On Artificial Neural Networks - Advances in Computational Intelligence and Learning 2007: Proceedings, éd. Verleysen, Michel, d-side publ.: Evere (Belgium), 2007. 2-930307-07-2. 606 p.
Lee, John Aldo ; Verleysen, Michel. Nonlinear dimensionality reduction, Springer: New York (United States) , 2007. 978-0-387-39350-6. 310 p.
14th European Symposium on Artificial Neural Networks 2006: Proceedings, éd. Verleysen, Michel, d-side publ.: Evere (Belgium), 2006. 2-930307-06-4. 687 p.
Neural Networks special issue on "Advances in Self-Organizing Maps", éd. Verleysen, Michel, Vol. 19, Nos. 6-7 (July-August 2006), M. Cottrell, M. Verleysen, 2006.
Verleysen, Michel. 13th European Symposium on Artificial Neural Networks 2005: Proceedings, d-side publ.: Evere (Belgium), 2005. 2-930307-05-6. 621 p.
Verleysen, Michel. 12th European Symposium on Artificial Neural Networks, d-side publ.: Evere (Belgium), 2004. 2-930307-04-8. 587 p.
Verleysen, Michel. 11th European Symposium on Artificial Neural Networks 2003: Proceedings, d-side publ.: Evere (Belgium), 2003. 2-930307-03-X. 557 p.
Dualibe, Carlos ; Jespers, Paul ; Verleysen, Michel. Design of Analog Fuzzy Logic Controllers in CMOS Technologies: Implementation, Test and Applications, Kluwer academic publishers: Boston (USA), 2003. 978-0-306-48014-0. 214 p.
Verleysen, Michel. 10th European Symposium on Artificial Neural Networks 2002: Proceedings, d-side publ.: Evere (Belgium), 2002. 2-930307-02-1. 532 p.
Verleysen, Michel. 9th European Symposium on Artificial Neural Networks 2001: Proceedings, D facto publ.: Brussels (Belgium), 2001. 2-930307-01-3. 422 p.
Verleysen, Michel. 8th European Symposium on Artificial Neural Networks 2000: Proceedings, D facto publ.: Brussels (Belgium), 2000. 2-930307-00-5. 450 p.
Verleysen, Michel. 7th European Symposium on Artificial Neural Networks 1999: Proceedings, D facto publ.: Brussels (Belgium), 1999. 2-9600049-9-x. 474 p.
Verleysen, Michel. 6th European Symposium on Artificial Neural Networks 1998: Proceedings, D facto publ.: Brussels (Belgium), 1998. 2-9600049-8-1. 432 p.
Verleysen, Michel. 5th European Symposium on Artificial Neural Networks 1997: Proceedings, D facto publ.: Brussels (Belgium), 1997. 2-9600049-7-3. 362 p.
Verleysen, Michel. 4th European Symposium on Artificial Neural Networks 1996: Proceedings, D facto publ.: Brussels (Belgium), 1996. 2-9600049-6-5. 340 p.
Blayo, François ; Verleysen, Michel. Les Réseaux de Neurones Artificiels (Que sais-je ?), Presses Universitaires de France: Paris (France), 1996. 9782130473558. 126 p.
Verleysen, Michel. 3rd European Symposium on Artificial Neural Networks 1995: Proceedings, D facto publ.: Brussels (Belgium), 1995. 2-9600049-3-0. 382 p.
Verleysen, Michel. 2nd European Symposium on Artificial Neural Networks 1994: Proceedings, D facto publ.: Brussels (Belgium), 1994. 2-9600049-1-4. 287 p.
Verleysen, Michel ; de Bodt, E.. Belgian Neural Network Contact Group: 1994 annual meeting, 1994. 2-9600049-2-2. 144 p.
Verleysen, Michel. 1st European Symposium on Artificial Neural Networks 1993: Proceedings, D facto publ.: Brussels (Belgium), 1993. 2-9600049-0-6. 243 p.
Peluffo Ordoñez, Diego Hernan ; Lee, John Aldo ; Verleysen, Michel ; Alvarado-Pérez, Juan C.. Geometrical homotopy for data visualization. In: ESANN 2015 - 23rd Eur. Symp. on Artificial Neural Networks, Computational Intelligence and Machine Learning, D-side: Bruges, 2015, p. 525-530. 978-2-87587-014-8.
Lee, John Aldo ; Verleysen, Michel. Two key properties of dimensionality reduction methods. In: Lee, J.A.; Verleysen, M., 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2014, p. 163-170. 978-1-4799-4517-7.
Doquire, Gauthier ; Verleysen, Michel. A Performance Evaluation of Mutual Estimators for Multivariate Feature Selection. In: P.L.Carmona et al., Pattern Recognition - Applications and Methods (Advances in Intelligent Systems and Computing; 204), Springer-Verlag: Berlin-Heidelberg, 2013, p. 51-63. 978-3-642-36529-4. doi:10.1007/978-3-642-36530-0_5.
Lee, John Aldo ; Verleysen, Michel. Graph-Based Dimensionality Reduction. In: Olivier Lézoray, Leo Grady, Image Processing and Analysis with Graphs: Theory and Practice, CRC Press, 2012, p. 351-382. 978-1-4398-5507-2.
François, Damien ; Wertz, Vincent ; Verleysen, Michel. Choosing the Metric: A Simple Model Approach. In: Norbert Jankowski Wlodzislaw Duch Krzysztof Grabczewski eds., Meta-Learning in Computational Intelligence (Studies in Computational Intelligence; 358), Springer, 2011, p. 97-115. 978-3-642-20979-6. doi:10.1007/978-3-642-20980-2_3.
de Lannoy, Gaël ; François, Damien ; Delbeke, Jean ; Verleysen, Michel. Weighted SVMs and Feature Relevance Assessment in Supervised Heart Beat Classification.. In: Fred Ana Filipe Joachim Gamboa Hugo, Biomedical Engineering Systems and Technologies: Third International Joint Conference, BIOSTEC 2010, Valencia, Spain, January 20-23, 2010, Revised Selected Papers (Communications in Computer and Information Science; 127), Springer-Verlag: (Germany) Berlin, 2011, p. 212-223. 978-3-642-18471-0. doi:10.1007/978-3-642-18472-7_17.
de Lannoy, Gaël ; De Decker, Arnaud ; Verleysen, Michel. A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs. In: Ana Fred Joaquim Filipe Hugo Gamboa eds., Biomedical Engineering Systems and Technologies (Communications in Computer and Information Science; 25), Springer, 2009, p. 256-264. 978-3-540-92218-6.
Verleysen, Michel ; Rossi, Fabrice ; François, Damien. Advances in Feature Selection with Mutual Information. In: Thomas Villmann Michael Bielh Barbara Hammer Michel Verleysen eds., Similarity-Based Clustering (Lecture Notes in Artificial Intelligence; 5400), Springer, 2009, p. 52-69. 978-3-642-01804-6.
Biga Diambeidou, Mahamadou ; François, Damien ; Gailly, Benoît ; Verleysen, Michel ; Wertz, Vincent. An empirical taxonomy of start-up firms growth trajectories. In: Fayolle A. et Kyro P., The Dynamics between Entrepreneurship, Environment and Education, Edward Elgar: Northampton, 2008, p. 193-220. 978-1-8472-0571-1.
Diambeidou, M.B ; Wertz, Vincent ; Verleysen, Michel ; Gailly, Benoît ; François, Damien. Empirical Taxonomy of Start-Up Firms Growth Trajectories. In: Fayolle, Alain (ed.), The Dynamics Between Entrepreneurship, Environment and Education, 2008. 9781847205711.
Vrins, Frédéric ; Dinh-Tuan Pham ; Verleysen, Michel. Is the general form of Renyi's entropy a contrast for source separation?. In: Davies, M.E.; James, C.; Davies, M.; Abdallah, S.; Plumbley, M., Independent Component Analysis and Signal Separation, ICA 2007 (Lecture Notes in Computer Science; 4666), Springer: Berlin-Heidelberg, 2007, 129-136. 3-540-74493-2.
Vrins, Frédéric ; Verleysen, Michel. Minimum support ICA using order statistics. Part I: Quasi-range based support estimation. In: J. Rosca, D. Erdogmus, J. Principe and S. Haykin, Independent Component Analysis and Blind Signal Sepration, ICA 2006 (Lecture Notes in Computer Sciences; 3889), Springer-Verlag: Berlin-Heidelberg, 2006, 262-269. 3-540-32630-8. doi:10.1007/11679363_33.
Vrins, Frédéric ; Verleysen, Michel. Minimum support ICA using order statistics. Part II: Performance analysis. In: J. Rosca, D. Erdogmus, J. Principe and S. Haykin, Independent Component Analysis and Blind Signal Sepration, ICA 2006 (Lecture Notes in Computer Sciences; 3889), Springer-Verlag: Berlin-Heidelberg, 2006, 270-277. 3-540-32630-8. doi:10.1007/11679363_34.
Vrins, Frédéric ; Erdogmus, D ; Jutten, Christian ; Verleysen, Michel. Zero-entropy minimization for blind extraction of bounded sources (BEBS). In: J. Rosca, D. Erdogmus, J. Principe and S. Haykin, Independent Component Analysis and Blind Signal Sepration, ICA 2006 (Lecture Notes in Computer Sciences; 3889), Springer-Verlag: Berlin-Heidelberg, 2006, 747-754. 3-540-32630-8. doi:10.1007/11679363_93.
Vrins, Frédéric ; Lee, John Aldo ; Verleysen, Michel. Filtering-free blind separation of correlated images. In: J. Canestany, A. Prieto, F. Sandoval, Computational Intelligence and Bioinspired Systems, IWANN 2005 (Lecture Notes in Computer Sciences; 3512), Springer-verlag Berlin: Berlin, 2005, 1091-1099. 3-540-26208-3.
Dualibe, Carlos ; Verleysen, Michel. Design and application of analog fuzzy logic controllers. In: Smart Adaptive Systems on Silicon, Kluwer Academic Publishers, 2004, p. 157-174. 1-4020-2743-5.
Vrins, Frédéric ; Jutten, Christian ; Verleysen, Michel. Sensor array and electrode selection for non-invasive fetal electrocardiogram extraction by independent component analysis. In: G. Puntonet, A. Prieto, Independent Component Analysis and Blind Signal Separation, ICA 2004 (Lecture Notes in Computer Sciences; 3195), Springer-Verlag: Berlin-Heidelberg, 2004, 1017-1024. 3-540-23056-4.
Lendasse, Amaury ; Lee, John Aldo ; de Bodt, Eric ; Wertz, Vincent ; Verleysen, Michel. Approximation by Radial-Basis Function networks - Application to option pricing. In: C. Lesage, M. Cottrell eds., Connectionist Approaches in Economics and Management Sciences, Kluwer academic publishers., 2003, p. 203-214.
Verleysen, Michel. Learning high-dimensional data. In: S. Ablameyko, L. Goras, M. Gori, V. Piuri, Limitations and Future Trends in Neural Computation, IOS Press: Amsterdam (Netherlands), 2003, p. 141-162.
Verleysen, Michel. The explanatory power of Artificial Neural Networks. In: R. Franck ed., The explanatory power of models, Kluwer academic publishers: Boston (USA), 2002, p. 127-139.
Verleysen, Michel ; LENDASSE, AMAURY ; de Bodt, Eric. Forecasting financial time series through intrinsic dimension estimation and non-linear data projection, Springer, 1999.
Verleysen, Michel. Feedforward unsupervised models. In: E.Fiesler, R.Bealer eds., Handbook on Neural Computation, IOP and Oxford University Press: Oxford (UK), 1996, p. C2.1:1-C2.1:15.
Verleysen, Michel ; Legat, Jean-Didier ; Jespers, Paul. Analog Implementation of an Associative Memory : Learning Algorithm and VLSI Constraints. In: M. Hassoun ed., Associative Neural Memories: Theory and Implementation, Oxford University Press, 1993.
Verleysen, Michel ; Jespers, Paul. Precision of Computations in Analog Neural Networks. In: U.Ramacher et U.Rückert eds., VLSI design of neural networks, Kluwer Academic Publishers (UK), 1991, p. 65-82.
Verleysen, Michel ; Jespers, Paul. VLSI Chips for Neural Networks. In: Omid M. Omidvar ed., Progress in Neural Networks, Ablex Publishing Corporation: Norwood (USA), 1991, p. 175-196.
Germany Morrison, Enrique Ignacio ; Teixeira, I. ; Danthine, Venethia ; Verleysen, Michel ; Nonclercq, Antoine ; El Tahry, Riëm. Exploring graph-derived metrics from functional brain connectivity analyses from PDC and DTF connectomes as VNS outcome predictors. Proceedings of the ILAE 35th International Epilepsy Congress .
Couplet, Edouard ; Lambert, Pierre ; Verleysen, Michel ; Mulders, Dounia ; Lee, John Aldo ; De Bodt, Cyril. Natively Interpretable t-SNE. ECML PKDD (Torino, Italy, du 18/09/2023 au 22/09/2023). In: Proceedings of AIMLAI workshop, Vol. 1, no.1, p. 1-16 (2023).
Couplet, Edouard ; Lambert, Pierre ; Verleysen, Michel ; Lee, John Aldo ; De Bodt, Cyril. On the number of latent representations in deep neural networks for tabular data. 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges, Belgium, du 04/10/2023 au 06/10/2023). In: ESANN proceedings, Vol. 1, no.1, p. 1-6 (2023). doi:10.14428/esann/2023.ES2023-156.
Lambert, Pierre ; Lee, John Aldo ; Verleysen, Michel ; De Bodt, Cyril. Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Online event, du 06/10/2021 au 08/10/2021). In: ESANN 2021 proceedings, 2021. 978287587082-7, 435-440.
Lambert, Pierre ; De Bodt, Cyril ; Verleysen, Michel ; Lee, John Aldo. Stochastic quartet approach for fast multidimensional scaling. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Online event, du 06/10/2021 au 08/10/2021). In: ESANN 2021 proceedings, 2021. 978287587082-7, 417-422.
Valy, Dona ; Verleysen, Michel ; Chhun, Sophia. Data Augmentation and Text Recognition on Khmer Historical Manuscripts. 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Dortmund (Germany), du 08/09/2020 au 10/09/2020).
Crecchi Francesco ; De Bodt, Cyril ; Verleysen, Michel ; Lee, John Aldo ; Bacciu Davide. Perplexity-free Parametric t-SNE. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (du 02/10/2020 au 04/10/2020). In: ESANN 2020 proceedings, 2020. 978-2-87587-074-2, p. 387-392.
Degeest, Alexandra ; Verleysen, Michel ; Frénay, Benoît. About Filter Criteria for Feature Selection in Regression. IWANN 2019 (Gran Canaria, du 12/06/2019 au 14/06/2019). In: Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science, Vol. 11507, no.48, p. 579-590 (2019).
De Bodt, Cyril ; Mulders, Dounia ; Lopez Sanchez, Daniel ; Verleysen, Michel ; Lee, John Aldo. Class-aware t-SNE: cat-SNE. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges (Belgium), du 24/04/2019 au 26/04/2019). In: ESANN 2019 proceedings, 2019. 978-287-587-065-0, 409-414.
Degeest, Alexandra ; Verleysen, Michel ; Frénay, Benoît. Comparison Between Filter Criteria for Feature Selection in Regression. ICANN 2019 (Munich, du 17/09/2019 au 19/09/2019). In: Artificial Neural Networks and Machine Learning - ICANN 2019 28th International Conference on Artificial Neural Networks, (2019).
de Smet, Dimitri ; Francaux, Marc ; Baijot, Laurent ; Verleysen, Michel. MAP Best Performances Prediction for Endurance Runners. 2019 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019) (Bruges (Belgium) , du 24/04/2019 au 26/04/2019).
Mulders, Dounia ; De Bodt, Cyril ; Lejeune, Nicolas ; Lee, John Aldo ; Mouraux, André ; Verleysen, Michel. Tensor factorization to extract patterns in multimodal EEG data. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges (Belgium), du 24/04/2019 au 26/04/2019). In: ESANN 2019 proceedings, 2019. 978-287-587-065-0, 601-606.
Valy, Dona ; Verleysen, Michel ; Chhun, Sophea. Text Recognition on Khmer Historical Documents using Glyph Class Map Generation with Encoder-Decoder Model. 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2018) (Prague (Czech Republic), du 19/02/2019 au 20/02/2019). In: Proceedings of ICPRAM 2019, p. 8 (2018).
Valy, Dona ; Verleysen, Michel ; Burie, Jean-Christophe. Character and Text Recognition of Khmer Historical Palm Leaf Manuscripts. 16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018) (Niagara Falls (USA), du 05/08/2018 au 08/08/2018). In: Proceedings of ICFHR 2018, , p. 6 (2018). doi:10.1109/ICFHR-2018.2018.00012.
Mulders, Dounia ; De Bodt, Cyril ; Lejeune, Nicolas ; Dufour, André ; Verleysen, Michel ; Mouraux, André. Characterizing the Cortical Processes Related to the Perception of Long-Lasting Warm and Cool Sensations. 17th World Congress on Pain (Boston, USA, du 12/09/2018 au 16/09/2018).
De Bodt, Cyril ; Mulders, Dounia ; Verleysen, Michel ; Lee, John Aldo. Extensive assessment of Barnes-Hut t-SNE. The European Symposium on Artificial Neural Networks (Bruges, du 25/04/2018 au 27/04/2018). In: ESANN 2018 proceedings, 2018. 978-287587047-6, 135-140.
Kesiman, Made Windu Antara ; Valy, Dona ; Burie, Jean-Christophe ; Paulus, Erick ; Suryani, Mira ; Hadi, Setiawan ; Verleysen, Michel ; Chhun, Sophea ; Ogier, Jean-Marc. ICFHR 2018 Competition On Document Image Analysis Tasks for Southeast Asian Palm Leaf Manuscripts. 16th International Conference on Frontiers in Handwriting Recognition (Niagara Falls (USA), du 05/08/2018 au 08/08/2018). In: Proceedings of ICFHR 2018, , p. 483-488 (2018). doi:10.1109/ICFHR-2018.2018.00090.
Mulders, Dounia ; De Bodt, Cyril ; Lejeune, Nicolas ; Mouraux, André ; Verleysen, Michel. Linear Periodic Discriminant Analysis of Multidimensional Signals. ICONIP 2018 (Siem Reap, Cambodia, du 13/12/2018 au 16/12/2018). In: Neural Information Processing, 2018. 978-3-030-04224-0, 476-487. doi:10.1007/978-3-030-04224-0_41.
de Smet, Dimitri ; Verleysen, Michel ; Francaux, Marc ; Baijot, Laurent. Long-Distance Running Routes’ Flat Equivalent Distances from Race Results and Elevation Profiles. 6th International Congress on Sport Sciences Research and Technology Support (Seville, Spain, du 20/9/2018 au 21/9/2018). In: Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support, SCITEPRESS - Science and Technology Publications, 2018. 978-989-758-325-4. doi:10.5220/0006937000560062.
De Bodt, Cyril ; Mulders, Dounia ; Verleysen, Michel ; Lee, John Aldo. Perplexity-free t-SNE and twice Student tt-SNE. The European Symposium on Artificial Neural Networks (Bruges, du 25/04/2018 au 27/04/2018). In: ESANN 2018 proceedings, 2018. ISBN 978-287587047-6, 123-128.
Degeest, Alexandra ; Verleysen, Michel ; Frénay, Benoît. Smoothness Bias in Relevance Estimators for Feature Selection in Regression. 14th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2018) (Rhodes (Greece), du 25/05/2018 au 27/05/2018). In: IFIPAICT, Vol. 519, p. 285-294 (2018). doi:10.1007/978-3-319-92007-8_25 .
Mulders, Dounia ; De Bodt, Cyril ; Lejeune, Nicolas ; Mouraux, André ; Verleysen, Michel. Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns. International Conference on Latent Variable Analysis and Signal Separation (Guildford, du 03/07/2018 au 05/07/2018). In: International Conference on Latent Variable Analysis and Signal Separation, 2018. 978-3-319-93764-9, 524-533. doi:10.1007/978-3-319-93764-9_48.
Valy, Dona ; Verleysen, Michel ; Chhun, Sophea ; Burie, Jean-Christophe. A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition - SleukRith Set. 4th International Workshop on Historical Document Imaging and Processing (HIP) at ICDAR2017 (Kyoto (Japan), du 08/11/2017 au 15/11/2017).
Mulders, Dounia ; Liberati, Giulia ; Verleysen, Michel ; Mouraux, André. Characterizing Resting Brain Activity to Predict the Amplitude of Pain-Evoked Potentials in the Human Insula. Benelearn 2017: The annual machine learning conference of the Benelux (Eindhoven, du 09/06/2017 au 10/06/2017). In: The Benelearn 2017 Proceedings, 2017, 89-91.
Mulders, Dounia ; De Bodt, Cyril ; Bjelland, Johannes ; Pentland, Alex (Sandy) ; Verleysen, Michel ; de Montjoye, Yves-Alexandre. Improving Individual Predictions using Social Networks Assortativity. 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+) (Nancy, France, du 28/06/2017 au 30/06/2017). In: 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+), IEEE, 2017. 978-1-5090-6639-1, 127-134. doi:10.1109/WSOM.2017.8020023.
Mulders, Dounia ; De Bodt, Cyril ; Bjelland, Johannes ; Pentland , Alex Sandy ; Verleysen, Michel ; de Montjoye, Yves-Alexandre. Improving individual predictions using social networks assortativity. Benelearn 2017: The annual machine learning conference of the Benelux (Eindhoven, du 09/06/2017 au 10/06/2017). In: The Benelearn 2017 Proceedings, 2017, 134-136.
Mulders, Dounia ; Liberati, Giulia ; Verleysen, Michel ; Mouraux, André. Interhemispheric Dynamics of the Insular Processing of Nociceptive and non-Nociceptive Stimuli (e-poster). 10th Congress of the European Pain Federation EFIC (Copenhagen, du 06/09/2017 au 09/09/2017).
Valy, Dona ; Verleysen, Michel ; SOK, Kimheng. Line Segmentation for Grayscale Text Images of Khmer Palm Leaf Manuscripts. 7th International Conference on Image Processing Theory, Tools & Applications (IPTA) (Montréal (Canada), du 28/11/2017 au 01/12/2017).
de Smet, Dimitri ; Verleysen, Michel ; Francaux, Marc. Running Race Times Prediction and Runner Performances Comparison Using a Matrix Factorization Approach. 5th International Congress on Sport Sciences Research and Technology Support (Funchal, Madeira, Portugal, du 30/10/2017 au 31/10/2017). In: Proceedings of the 5th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, SciTePress, 2017. 978-989-758-269-1. doi:10.5220/0006499300960101.
de Smet, Dimitri ; Francaux, Marc ; Hendrickx, Julien ; Verleysen, Michel. Heart rate modelling as a potential physical fitness assessment for runners and cyclists. ECML-PKDD (Riva Del Garda, Italy, du 19/09/2016 au 23/09/2016).
Valy, Dona ; Verleysen, Michel ; Sok, Kimheng. Line Segmentation Approach for Ancient Palm Leaf Manuscripts using Competitive Learning Algorithm. 15th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Shenzhen (China), du 23/10/2016 au 26/10/2016).
Garcia Vega, Sergio ; Castellanos-Dominguez, German ; Verleysen, Michel ; Lee, John Aldo. Multi-step-ahead forecasting using kernel adaptive filtering. 2016 International Joint Conference on Neural Networks (IJCNN) (Vancouver, BC, Canada). In: 2016 International Joint Conference on Neural Networks (IJCNN), Vol. /, no./, p. 2132-2139 (24-29 July 2016). doi:10.1109/IJCNN.2016.7727463.
Degeest, Alexandra ; Verleysen, Michel ; Frénay, Benoît. Feature Ranking in Changing Environments where New Features are Introduced. 2015 International Joint Conference on Neural Networks (IJCNN 2015) (Killarney (Ireland), du 12/07/2015 au 17/07/2015). In: Proceedings of IJCNN 2015, IEEE, 2015. 978-1-4799-1959-8/15, 1-8. doi:10.1109/IJCNN.2015.7280533. doi:10.1109/IJCNN.2015.7280533.
Peluffo-Ordonez, Diego H. ; Alvarado-Perez, Juan C. ; Lee, John Aldo ; Verleysen, Michel. Geometrical homotopy for data visualization. 2015 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015) (Bruges (Belgium), du 22/04/2015 au 24/04/2015). In: Proceedings of ESANN 2015, i6doc.com publ., 2015. 978-287587014-8, 525-530.
Chuor, Porchourng ; Verleysen, Michel ; Valy, Dona. Khmer Optical Character Recognition Using Zernike Moment. 2015 Khmer Natural Language Processing annual conference (KNLP 2015) (Phnom Penh (Cambodia), du 04/12/2015 au 04/12/2015). In: , 2015, 1-6.
Billiet, Lieven ; Hunyadi, Borbala ; Matic, Vladimir ; Van Huffel, Sabine ; Verleysen, Michel. Single trial classification in Mobile BCI - A multiway Kernel approach. 8th International Conference on Bio-Inspired Systems and Signal processing (BIOSIGNALS 2015) (Lisbon (Portugal), du 12/01/2015 au 15/01/2015). In: Proceedings of BIOSIGNALS 2015, SciTePress, 2015. 978-989-758-069-7, 5-11. doi:10.5220/0005163000050011. doi:10.5220/0005163000050011.
Peluffo Ordoñez, Diego Hernan ; Lee, John Aldo ; Verleysen, Michel ; Rodriguez, José L. ; Castellanos-Dominguez, German. Unsupervised relevance analysis for feature extraction and selection. A distance-based approach for feature relevance. 3rd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2014) (Angers (France), du 06/03/2014 au 08/03/2014). In: , 2015.
Feraud, Baptiste. An advanced clustering approach for assessing the repeatability and statistical relevance of 2D-COSY spectra. 8èmes Journées Scientifiques du Réseau Français de Métabolomique et Fluxomique (Lyon, campus de la Doua, du 19/05/2014 au 21/05/2014).
Degeest, Alexandra ; Frénay, Benoît ; Verleysen, Michel. Automatic Correction of SVM for Drifted Data Classification. 14 ème conférence Extraction et Gestion des Connaissances (EGC 2014) (Rennes (France), du 28/01/2014 au 31/01/2014). In: Proceedings de la 14 ème conférence Extraction et Gestion des Connaissances (EGC 2014), 2014.
Peluffo Ordoñez, Diego Hernan ; Lee, John Aldo ; Verleysen, Michel. Generalized kernel framework for unsupervised spectral methods of dimensionality reduction. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014) (Orlando (USA), du 09/12/2014 au 12/12/2014). In: Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014), IEEE, 2014. 978-1-4799-4518-4, 171-177. doi:10.1109/CIDM.2014.7008664. doi:10.1109/CIDM.2014.7008664.
Diaz, Ignacio ; Cuadrado, Abel A. ; Pérez, Daniel ; Garcia, Francisco J. ; Verleysen, Michel. Interactive Dimensionality Reduction for Visual Analytics. 2014 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014) (Bruges (Belgium), du 23/04/2014 au 25/04/2014). In: Proceedings of ESANN 2014, i6doc.com publ., 2014. 978-287419095-7, 183-188.
Lee, John Aldo ; Peluffo Ordoñez, Diego Hernan ; Verleysen, Michel. Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction. 2014 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014) (Bruges (Belgium), du 23/04/2014 au 25/04/2014). In: Proceedings of ESANN 2014, i6doc.com publ., 2014. 978-287419095-7, 177-182.
Peluffo Ordoñez, Diego Hernan ; Lee, John Aldo ; Verleysen, Michel. Recent methods for dimensionality reduction: A brief comparative analysis. 2014 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014) (Bruges (Belgium), du 23/04/2014 au 25/04/2014). In: Proceedings of ESANN 2014, i6doc.com publ., 2014. 978-287419095-7, 189-194.
Gustin, Ludovic ; Durvaux, François ; Kerckhof, Stéphanie ; Standaert, François-Xavier ; Verleysen, Michel. Support Vector Machines for Improved IP Detection with Soft Physical Hash Functions. 5th International Workshop on Constructive Side-Channel Analysis and Secure Design (COSADE 2014) (Paris (France), du 13/04/2014 au 15/04/2014). In: Proceedings of the 5th International Workshop on Constructive Side-Channel Analysis and Secure Design (COSADE 2014) (Lecture Notes in Computer Science; 8622), Springer, 2014. 978-3-319-10174-3, p. 112-128. doi:10.1007/978-3-319-10175-0_9.
Eirola, E. ; Lendasse, Amaury ; Corona, F. ; Verleysen, Michel. The delta test: The 1-NN estimator as a feature selection criterion. 2014 International Joint Conference on Neural Networks (IJCNN 201) (Beijing (China), du 06/07/2014 au 11/07/2014). In: International Joint Conference on Neural Networks (IJCNN), 2014. 978-1-4799-6627-1. doi:10.1109/IJCNN.2014.6889560. doi:10.1109/IJCNN.2014.6889560.
Lee, John Aldo ; Verleysen, Michel. Two key properties of dimensionality reduction methods. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014) (Orlando (USA), du 09/12/2014 au 12/12/2014). In: Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014), IEEE, 2014. 978-1-4799-4518-4, 163-170. doi:10.1109/CIDM.2014.7008663. doi:10.1109/CIDM.2014.7008663.
Feraud, Baptiste ; de Tullio, Pascal ; Govaerts, Bernadette ; Verleysen, Michel. Assessing the repeatability and statistical advantages of homonuclear 2D-NMR spectra: a clustering approach. First Belgian-Netherlands Joint Symposium on Metabolomics (Spa (Belgium), du 13/05/2013 au 14/05/2013). In: , 2013.
Feraud, Baptiste ; Govaerts, Bernadette ; Verleysen, Michel. Assessing the repeatability and statistical advantages of homonuclear 2D-NMR spectra: an innovative clustering approach. 9th Annual International Conference of the Metabolomics Society (Glasgow (UK), du 01/07/2013 au 04/07/2013). In: , 2013.
Paul, Jérôme ; Verleysen, Michel ; Dupont, Pierre. Identification of Statistically Significant Features from Random Forests. ECML workshop on Solving Complex Machine Learning Problems with Ensemble Methods (Prague (Czech Republic), du 27/09/2013 au 27/09/2013). In: , 2013.
Schaefer, Matthias ; Zhang, Leishi ; Schreck, Tobias ; Tatu, Andrada ; Lee, John Aldo ; Verleysen, Michel ; Keim, Daniel A.. Improving projection-based data analysis by feature space transformations. Visualization and Data Analysis (VDA 2013) (Burlingame, CA (USA), du 03/02/2013 au 07/02/2013). In: Proceedings SPIE 8654, Visualization and Data Analysis 2013, 2013. doi:10.1117/12.2000701.
Frénay, Benoît ; Doquire, Gauthier ; Verleysen, Michel. Mutual Information: an Adequate Tool for Feature Selection. 22nd edition of the annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2013) (Nijmegen (the Netherlands), du 03/06/2013 au 03/06/2013). In: Proceedings of the 22nd edition of the annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2013), 2013.
Verleysen, Michel ; Lee, John Aldo. Nonlinear dimensionality reduction for visualization. 20th International Conference on Neural Information Processing(ICONIP 2013) (Daegu (South Korea), du 03/11/2013 au 07/11/2013). In: Lecture Notes in Computer Science, Vol. 8226, p. 617-622 (11/2013). In: , 2013. doi:10.1007/978-3-642-42054-2_77. doi:10.1007/978-3-642-42054-2_77.
Doquire, Gauthier ; Frénay, Benoît ; Verleysen, Michel. Risk Estimation and Feature Selection. European Symposium on Artificial Neural Networks (ESANN 2013) (Bruges (Belgium), du 24/04/2013 au 26/04/2013). In: Proceedings of European Symposium on Artificial Neural Networks (ESANN 2013), 2013, 161-166.
Bernard, Guillaume ; Verleysen, Michel ; Lee, John Aldo. Segmentation with Incremental Classifiers. 17th International Conference on Image Analysis and Processing (ICIAP) (Naples (Italy), du 09/09/2013 au 13/09/2013). In: Image Analysis and Processing – ICIAP 2013 (Lecture Notes in Computer Science; 8157), Springer: Berlin Heidelberg, 2013. 978-3-642-41183-0, p. 81-90. doi:10.1007/978-3-642-41184-7_9.
Garcia Fernandez, Francisco J. ; Verleysen, Michel ; Lee, John Aldo ; Diaz, Ignacio. Sensitivity to parameter and data variations in dimensionality reduction techniques. 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013) (Bruges (Belgium), du 24/04/2013 au 26/04/2013). In: Proceedings of the 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), i6doc.com publ.: Louvain-la-Neuve (Belgium), 2013. 978-2-87419-081-0, p. 95-100.
Garcia-Fernandez, Francisco ; Verleysen, Michel ; Lee, John Aldo ; Diaz, Ignacio. Stability comparison of dimensionality reduction techniques attending to data and parameters variations. Visual Analytics using Multidimensional Projections Workshop (VAMP 2013-EuroVis 2013) (Leipzig (Germany), 19/06/2013).
Renard, Emilie ; Dupont, Pierre ; Verleysen, Michel. User control for adjusting conflicting objectives in parameter-dependent visualization of data. Workshop on Visual Analytics using Multidimensional Projections (EuroVis 2013) (Leipzig (Germany), du 17/06/2013 au 21/06/2013). In: , 2013.
Doquire, Gauthier ; Verleysen, Michel. A Comparison of Multivariate Mutual Information Estimators for Feature Selection. 2012 International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012) (Vilamoura (Portugal), du 06/02/2012 au 08/02/2012). In: Proceedings of the 2012 International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012), SciTePress, 2012, p. 176-185. doi:10.5220/0003726101760185. doi:10.5220/0003726101760185.
Verleysen, Michel. About the Optimality of Mutual Information for Feature Selection. International Conference on Neural Information Processing (ICONIP 2012) (Doha (Qatar), du 12/11/2012 au 15/11/2012). In: Proceedings of the International Conference on Neural Information Processing (ICONIP 2012), 2012.
Coelho, Frederico ; Braga, Antonio Padua ; Verleysen, Michel. Cluster homogeneity as a semi-supervised principle for feature selection using mutual information. 20th International Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012) (Bruges (Belgium), du 25/04/2012 au 27/04/2012). In: Proceedings of the 20th International Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), i6doc.com, 2012. 978-2-87419-049-0, p. 507-512.
Doquire, Gauthier ; Verleysen, Michel. Handling Imprecise Labels in Feature Selection with Graph Laplacian. 2012 International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012) (Vilamoura (Portugal), du 06/02/2012 au 08/02/2012). In: Proceedings of the 2012 International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012), SciTePress, 2012, p. 162-169. doi:10.5220/0003712101620169.
Bernard, Guillaume ; Lee, John Aldo ; Verleysen, Michel. Incremental feature computation and classification for image segmentation. 20th International Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012) (Bruges (Belgium), du 25/04/2012 au 27/04/2012). In: Proceedings of the 20th International Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), i6doc.com, 2012. 978-2-87419-049-0, p. 157-162.
Keim, Daniel A. ; Rossi, Fabrice ; Seidl, Thomas ; Verleysen, Michel ; Wrobel, Stefan. Information Visualization, Visual Data Mining and Machine Learning. Dagstuhl Seminar 12081 (Schloss Dagstuhl-Leibnitz-Zentrum für Informatik (Germany), du 19/02/2012 au 24/02/2012). In: Dagstuhl Reports, Dagstuhl Publishing: Germany, 2012, p. 58-83. doi:10.4230/DagRep.2.2.58. doi:10.4230/DagRep.2.2.58.
Keim, Danial A. ; Rossi, Fabrice ; Seidl, Thomas ; Verleysen, Michel ; Wrobel, Stefan. Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Dagstuhl Seminar 12081 (Schloss Dagstuhl-Leibnitz-Zentrum für Informatik (Germany), du 19/02/2012 au 24/02/2012). In: Informatik Spectrum, Vol. 35, no.4, p. 311-317 (August 2012). In: , Springer, 2012. doi:10.1007/s00287-012-0634-3.
Verleysen, Michel. Information theoretic feature selection for high-dimensional data analysis. Workshop "New Challenges in Neural Computation" (NC2) (Graz (Austria), du 28/08/2012 au 28/08/2012). In: Proceedings of the Workshop "New Challenges in Neural Computation" (NC2), 2012.
Frénay, Benoît ; Doquire, Gauthier ; Verleysen, Michel. On the Potential Inadequacy of Mutual Information for Feature Selection. 20th International Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012) (Bruges (Belgium), du 25/04/2012 au 27/04/2012). In: Proceedings of the 20th International Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), i6doc.com, 2012. 978-2-87419-049-0, p. 501-506.
Paul, Jérôme ; Verleysen, Michel ; Dupont, Pierre. The stability of feature selection and class prediction from ensemble tree classifiers. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges (Belgium), du 25/04/2012 au 27/04/2012). In: ESANN 2012 The 20 th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Proceedings - Bruges, Belgium from 25 to 27 April 2012 ., 2012. 978-2-87419-047-6, 263-268.
Côme, Etienne ; Cottrell, Marie ; Verleysen, Michel ; Lacaille, Jérôme. Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. 8th Workshop on Self-Organizing Maps (WSOM 2011) (Espoo (Finland), du 13/06/2011 au 15/06/2011). In: Advances in Self-Organizing maps (Lecture notes in Computer Sciences; 6731), Springer, 2011. 978-3-642-21565-0, p. 298-307. doi:10.1007/978-3-642-21566-7_30.
Doquire, Gauthier ; Verleysen, Michel. An hybrid approach to feature selection for mixed categorical and continuous data. International Conference on Knowledge Discovery and Information Retrieval (KDIR 2011) (Paris (France), du 26/10/2011 au 29/10/2011). In: , 2011.
Hazan, Aurélien ; Verleysen, Michel ; Cottrell, Marie ; Lacaille, Jérôme. Bayesian inference for outlier detection in vibration spectra with small learning dataset. Surveillance 6 (Compiègne (France), du 25/10/2011 au 26/10/2011). In: Proceedings of Surveillance 6, 2011, 2011, 1-15.
de Lannoy, Gaël ; François, Damien ; Verleysen, Michel. Class-Specific Feature Selection for One-Against-All Multiclass SVMs. Proceedings of the 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011) (Bruges (Belgium), du 27/04/2011 au 29/04/2011). In: ESANN 2011 Proceedings, i6doc.com: Louvain-le-Neuve (Belgium), 2011. 978-2-87419-044-5, p. 269-274.
Verleysen, Michel. Data Visualization with Nonlinear Projections. Statistique et Informatique pour les Sciences Humaines et Sociales (Paris (France), du 06/05/2011 au 06/05/2011). In: , 2011.
Guerrero-Mosquera, Carlos ; Verleysen, Michel ; Navia Vazquez, Angel. Dimensionality Reduction of EEG for Classification using Mutual Information and SVM. IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2011) (Beijing (China), du 18/09/2011 au 21/09/2011). In: Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2011), IEEE, 2011. 978-1-4577-1621-8, 1-6. doi:10.1109/MLSP.2011.6064595.
Doquire, Gauthier ; Verleysen, Michel. Feature Selection for Multi-label Classification Problems. 11th international work-conference on artificial neural networks (IWANN 2011) (Torremolinos (Spain), du 08/06/2011 au 10/06/2011). In: Advances in Computational Intelligence (Lecture Notes in Computer Science; 6691), Springer, 2011. 978-3-642-21500-1, p. 9-16. doi:10.1007/978-3-642-21501-8_2.
Verleysen, Michel. Feature selection for high-dimensional data analysis. 2011 International Conference on Neural Computation Theory and Applications (NCTA 2011) (Paris (France), du 24/10/2011 au 26/10/2011). In: , 2011.
Doquire, Gauthier ; de Lannoy, Gaël ; François, Damien ; Verleysen, Michel. Feature selection for supervised inter-patient heart beat classification. 4th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2011) (Roma (Italy), du 26/01/2011 au 29/01/2011). In: Proceedings of the 4th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2011), SciTePress, 2011. 978-989-8425-35-5, 67-73.
Doquire, Gauthier ; Verleysen, Michel. Feature selection with mutual information for uncertain data. 13th International Conference on Data Warehousing anf Knowledge Discovery (DaWaK 2011) (Toulouse (France), du 29/08/2011 au 02/09/2011). In: Lecture Notes in Computer Science, Vol. 6862, p. 330-341 (2011). In: , Springer-Verlag: Berlin Heidelberg, 2011. doi:10.1007/978-3-642-23544-3_25.
Doquire, Gauthier ; Verleysen, Michel. Graph Laplacian for Semi-supervised Feature Selection in Regression Problems. 11th international work-conference on artificial neural networks (IWANN 2011) (Torremolinos (Spain), du 08/06/2011 au 10/06/2011). In: Advances in Computational Intelligence (Lecture Notes in Computer Science; 6691), Springer, 2011. 978-3-642-21500-1, p. 248-255. doi:10.1007/978-3-642-21501-8_31.
Verleysen, Michel. High-dimensional data analysis: Looking for fast models ?. International Symposium on Extreme Learning Machines (ELM 2011) (Hangzhou (China), du 06/12/2011 au 08/12/2011). In: Proceedings of the International Symposium on Extreme Learning Machines (ELM 2011), 2011.
Verleysen, Michel. Information theoretic feature selection for non-standard data. STATLEARN 2011, Challenging problems in Statistical Learning (Grenoble (France), du 17/3/2011 au 18/3/2011). In: , 2011.
Frénay, Benoît ; de Lannoy, Gaël ; Verleysen, Michel. Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2011) (Athens (Greece), du 05/09/2011 au 11/09/2011). In: Lecture Notes in Computer Science, Vol. 6911, p. 455-470 (2011). In: Proceedings of ECML-PKDD 2011, Springer: (Germany) Heidelberg, 2011. doi:10.1007/978-3-642-23780-5.
Verleysen, Michel. Machine learning for high-dimensional data: the curse of dimensionality, feature selection and manifold learning. Computational Intelligence in Healthcare summer school (CIHC 2011) (Eindhoven (The Netherlands), du 20/09/2011 au 24/09/2011). In: Proceedings of the Computational Intelligence in Healthcare summer school (CIHC 2010), 2011.
Doquire, Gauthier ; Verleysen, Michel. Mutual information based feature selection for mixed data. 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011) (Bruges (Belgium), du 27/04/2011 au 29/04/2011). In: ESANN 2011 Proceedings, i6doc.com, 2011. 978-2-87419-044-5.
Doquire, Gauthier ; Verleysen, Michel. Mutual information for feature selection with missing data. 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges (Belgium), du 27/04/2011 au 29/04/2011). In: Proceedings of the 19th European Symposium on Artificial Neural networks, Computational Intelligence and Machine learning (ESANN 2011), i6doc.com: Louvain-la-Neuve (Belgium), 2011. 978-2-87419-044-5, 263-268.
Doquire, Gauthier ; Verleysen, Michel. Mutual information for feature selection with missing data. European Symposium on Artificial Neural Networks (ESANN 2011) (Bruges, du 27/04/2011 au 29/04/2011).
Verleysen, Michel. Nonlinear Dimensionality Reduction and Feature Selection. 12th EANN / 7th AIAI Joint Conference 2011 (Corfu (Greece), du 15/09/2011 au 18/09/2011). In: , 2011.
Lee, John Aldo ; Verleysen, Michel. Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants. 2011 International Conference on Computational Science (ICCS 2011) (Singapore, du 01/06/2011 au 03/06/2011). In: Procedia Computer Science, Vol. 4, no. /, p. 538-547 (2011). In: , Elsevier Ltd: [S.l.], 2011. doi:10.1016/j.procs.2011.04.056.
Lee, John Aldo ; Verleysen, Michel. Unsupervised dimensionality reduction:from principal component analysis to modern nonlinear techniques. 43e Journées de Statistiques (JDS 2011) (Gammarth (Tunisia), du 23/05/2011 au 27/05/2011). In: Proceedings des 43e Journées de Statistiques (JDS 2011), 2011.
Co circ me, E. ; Cottrell, M. ; Verleysen, Michel ; Lacaille, J.. Aircraft Engine Health Monitoring Using Self-organizing Maps. 10th Industrial Conference on Advances in Data Mining Applications and Theoretical Aspects (ICDM 2010) (Berlin (Germany), du 12/07/2010 au 14/07/2010). In: Advances in Data Mining Applications and Theoretical Aspects. 10th Industrial Conference, ICDM 2010, Springer verlag, 2010. 978-3-642-14399-1, p. 405-417. doi:10.1007/978-3-642-14400-4_31.
Onclinx, Victor ; Lee, John Aldo ; Wertz, Vincent ; Verleysen, Michel. Dimensionality reduction by rank preservation. 2010 International Joint Conference on Neural Networks (IJCNN 2010) (Barcelona (Spain), du 18/07/2010 au 23/07/2010). In: Proceedings of the 2010 International Joint Conference on Neural Networks (IJCNN 2010), IEEE, 2010. 978-1-4244-6916-1, 1599-1606. doi:10.1109/IJCNN.2010.5596347.
Guerrero-Mosquera, Carlos ; Verleysen, Michel ; Navia Vazquez, Angel. EEG Feature Selection Using Mutual Information and Support Vector Machine: A Comparative Analysis. 32nd Annual International IEEE EMBC Conference (EMBC 2010) (Buenos Aires (Argentina), du 31/08/2010 au 04/09/2010). In: Proceedings of the 32nd Annual International IEEE EMBC Conference (EMBC 2010), 2010, p. 4946-4949.
Miché, Yoan ; Eirola, Emile ; Bas, Patrick ; Simula, Olli ; Jutten, Christian ; Lendasse, Amaury ; Verleysen, Michel. Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010) (Bruges (Belgium), du 28/04/2010 au 30/04/2010). In: Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010), 2010. 2-930307-10-2, p. 19-24.
de Lannoy, Gaël ; François, Damien ; Delbeke, Jean ; Verleysen, Michel. Feature relevance assessment in automatic inter-patient heart beat classification. 3rd International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2010) (Valencia (Spain), du 20/01/2010 au 23/01/2010). In: Proceedings of the 3rd International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2010), 2010, p. 13-20.
Hazan, Aurélien ; Verleysen, Michel ; Cottrell, Marie ; Lacaille, Jérôme. Linear smoothing of FRF for aicraft engine vibration monitoring. International Conference on Noise and vibration Engineering (ISMA 2010) (Leuven (Belgium), du 20/09/2010 au 22/09/2010). In: Proceedings of the International Conference on Noise and vibration Engineering (ISMA 2010), 2010, p. 2857-2868.
Verleysen, Michel. Machine learning for high-dimensional data. Artificial Intelligence and Applications (AIA 2010) (Innsbruck (Austria), du 15/02/2010 au 17/02/2010). In: Proceedings of Artificial Intelligence and Applications (AIA 2010), 2010.
De Decker, Arnaud ; Lee, John Aldo ; François, Damien ; Verleysen, Michel. Mode Estimation in High-dimensional Spaces with Flat-top Kernels: Application to Image Denoising. 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010) (Bruges (Belgium), du 28/04/2010 au 30/04/2010). In: Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010), d-side publi, 2010. 2-930307-10-2, p. 411-416.
Coelho, Frederico ; Braga, Antonio Padua ; Verleysen, Michel. Multi-Objective Semi-supervised Feature Selection and Model Selection based on Pearson's Correlation Coefficient. 15th Iberoamerican Congress on Pattern Recognition (CIARP 2010) (Sao Paulo (Brazil), du 08/11/2010 au 11/11/2010). In: Lecture Notes in Computer Science, , no. 6419, p. 509-516. In: , Springer: (Germany) Heidelberg, 2010.
Verleysen, Michel ; Lee, John Aldo. Nonlinear dimensionality reduction. 11th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2010) (Paisley (Scotland, UK), du 01/09/2010 au 03/09/2010). In: Proceedings of the 11th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2010), 2010.
Lee, John Aldo ; Verleysen, Michel. On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding. 19th International Conference on Computational Statistics (COMPSTAT 2010) (Paris (France), du 22/08/2010 au 27/08/2010). In: Proceedings of the 19th International Conference on Computational Statistics (COMPSTAT 2010), 2010.
Wismueller, Axel ; Verleysen, Michel ; Aupetit, Michael ; Lee, John Aldo. Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010) (Bruges (Belgium), du 28/04/2010 au 30/04/2010). In: Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010), 2010, p. 71-80.
Côme, Etienne ; Cottrell, Marie ; Verleysen, Michel ; Lacaille, Jérôme. Self Organizing Star (SOS) for health monitoring. 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010) (Bruges (Belgium), du 28/04/2010 au 30/04/2010). In: Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010), 2010, p. 99-104.
Hazan, Aurélien ; Verleysen, Michel ; Cottrell, Marie ; Lacaille, Jérôme. Trajectory Clustering for Vibration Detection in Aircraft Engines. Industrial Conference on Data Mining (ICDM 2010) (Berlin (Germany), du 12/07/2010 au 14/07/2010). In: Lecture Notes in Computer Science, no. 6171, p. 362-375. In: , Springer: (Germany) Heidelberg, 2010.
Lee, John Aldo ; Verleysen, Michel. Unsupervised Dimensionality Reduction: Overview and Recent Advances. International Joint Conference on Neural Networks (IJCNN 2010) (Barcelona (Spain), du 18/07/2010 au 23/07/2010). In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2010), IEEE, 2010, p. 4163-4170.
Lee, John Aldo ; Verleysen, Michel. Unsupervised dimensionality reduction: from principal component analysis to modern nonlinear techniques. ERCIM working group on Computing & Statistics (ERCIM 2010) (Senate House, University of London & LSE (United Kingdom), du 10/12/2010 au 12/12/2010). In: Proceedings of ERCIM working group on Computing & Statistics (ERCIM 2010), 2010.
Frénay, Benoît ; Verleysen, Michel. Using SVMs with randomised feature spaces: an extreme learning approach. 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010) (Bruges (Belgium), du 28/04/2010 au 30/04/2010). In: Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010), 2010, p. 315-320.
Verleysen, Michel. A tribute to Jeanny Hérault. Machine Learning for Signal Processing (MLSP 2009) (Grenoble (France), du 02/09/2009 au 04/09/2009). In: , 2009.
Lee, John Aldo ; De Decker, Arnaud ; Verleysen, Michel. Adaptive anisotropic denoising: a bootstrapped procedure. 17th European Symposium on Artificail Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009) (Bruges (Belgium), du 22/04/2009 au 24/04/2009). In: Proceedings of the 17th European Symposium on Artificail Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009), 2009. 2-930307-09-9, p. 101-106.
de Lannoy, Gaël ; Verleysen, Michel ; Delbeke, Jean. Assessment and comparison of time realignment methods for supervised heart beat classification. Second International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2009) (Porto (Portugal), du 14/01/2009 au 17/01/2009). In: BIOSIGNALS 2009. Second International Conference on Bio-inspired Systems and Signal Processing, Insticc press, 2009. 978-989-8111-65-4, p. 239-244.
Thomas, Isabelle ; Frankhauser, Pierre ; Frénay, Benoît ; Verleysen, Michel. Clustering fractal urban patterns with curves of scaling behavior. 49th Congress of the European Regional Science Association "Territorial cohesion of Europe and integrative planning" (ERSA 2009) (Lodz (Poland), du 25/08/2009 au 29/08/2009). In: Proceedings of the 49th Congress of the European Regional Science Association "Territorial cohesion of Europe and integrative planning" (ERSA 2009), 2009, 71.
Frankhauser, Pierre ; Frénay, Benoît ; Thomas, Isabelle ; Verleysen, Michel. Clustering patterns of urban builtup areas with curves of fractal scaling behavior. ASRDLF 2009, Association de Science Régionale de Langue Française (Clermont-Ferrand (France), du 06/07/2009 au 08/07/2009). In: , 2009.
de Lannoy, Gaël ; Costecalde, Thomas ; Marin, Jorge ; Verleysen, Michel ; Delbeke, Jean. Elimination of electrocardiogram contamination from vagus nerve recordings using ICA. 14th Annual International FES Society Conference (IFESS 2009) (Seoul (Corea), du 13/09/2009 au 17/09/2009). In: Proceedings of the 14th Annual International FES Society Conference (IFESS 2009), 2009, p. 109-111.
Cottrell, Marie ; Gaubert, Patrice ; Eloy, Cédric ; François, Damien ; Hallaux, Geoffroy ; Lacaille, Jérôme ; Verleysen, Michel. Fault prediction in aircraft engines using self-organizing maps. 7th International Workshop Self-Organizing Maps (WSOM 2009) (St. Augustine (Florida/USA), du 08/06/2009 au 10/06/2009). In: Advances in Self-organizing Maps (Lecture Notes in Computer Science; 5629), Springer-verlag: Berlin-Heidelberg, 2009. 978-3-642-02396-5, p. 37-44. doi:10.1007/978-3-642-02397-2_5.
Verleysen, Michel. Feature selection. Soft Computing and Statistics, COST Action IC0702 summer course 2009 (Lisbon (Portugal), du 17/07/2009 au 21/07/2009). In: , 2009.
Verleysen, Michel ; Lee, John Aldo. How to assess the quality of nonlinear dimensionality reduction techniques?. Dagstuhl seminar "Similarity-based learning on structures" (Dagstuhl (Germany), du 15/02/2009 au 20/02/2009). In: , 2009.
Frénay, Benoît ; de Lannoy, Gaël ; Verleysen, Michel. Improving the transition modelling in hidden Markov models for ECG segmentation. 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009) (Bruges (Belgium), du 22/04/2009 au 24/04/2009). In: Proceedings of the 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009), 2009. 2-930307-09-9, p. 141-146.
Verleysen, Michel ; Lee, John Aldo. Nonlinear dimensionality reduction. UCL Large Graphs group seminar (Louvain-la-Neuve (Belgium), 05/06/2009). In: , 2009.
Verleysen, Michel ; Lee, John Aldo. Nonlinear dimensionality reduction and visualization. SFC (Société Française de Classification) 2009 (Grenoble (France), du 02/09/2009 au 04/09/2009). In: , 2009.
De Decker, Arnaud ; Lee, John Aldo ; Verleysen, Michel. Patch-Based Bilateral Filter and Local M-Smoother for Image Denoising. 17th European Symposium on Artifician Neural Networks - Advances in Computational Intellignece and Learning (ESANN'09) (Bruges (Belgium), du 22/04/2009 au 24/04/2007). In: Proceedings of the 17th European Symposium on Artifician Neural Networks - Advances in Computational Intellignece and Learning (ESANN 2009), 2009. 2-930307-09-9, p. 95-100.
De Decker, Arnaud ; Lee, John Aldo ; Verleysen, Michel. Performance assessment of patch-based bilateral denoising. First International Workshop on Medical Image Analysis and Description for Diagnosis Systems (MIAD 2009) (Porto (Portugal), du 14/01/2009 au 17/01/2009). In: First International Workshop on Medical Image Analysis and Description for Diagnosis Systems - MIAD 2009, Insticc press, 2009. 978-989-8111-77-7, p. 52-61.
Azan, Aurélien ; Verleysen, Michel ; Cottrell, Marie. Random model of vibrations for Foreign Object Damage detection in a civil aircraft engine. Machine Learning for Aerospace International Workshop (MLA 2009) (Marseille (France), du 03/07/2009 au 04/07/2009). In: Proceedings of MLA 2009, Machine Learning for Aerospace International Workshop, 2009, p. 149-152.
Lee, John Aldo ; Verleysen, Michel. Simbed: similarity-based embedding. 19th International Conference on Artificial Neural Networks (ICANN 2009) (Limassol (Cyprus), du 14/09/2009 au 17/09/2009). In: Lecture Notes in Computer Science, Springer verlag: Berlin-Heidelberg, 2009. 978-3-642-04276-8, 95-104. doi:10.1007/978-3-642-04277-5_10.
Krier, Catherine ; François, Damien ; Rossi, Fabrice ; Verleysen, Michel. Supervised Variable Clustering for Classification of NIR Spectra. 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009) (Bruges (Belgium), du 22/04/2009 au 24/04/2009). In: Proceedings of the 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009), 2009. 2-930307-09-9, p. 263-268.
Lee, John Aldo ; Verleysen, Michel. The intrusion-extrusion compromise for the projection and visualization of high-dimensional data. Colloquium "Statistiques pour le traitement de l’image" (STATIM 2009) (Université Paris 1 Panthéon-Sorbonne (France), du 22/01/2009 au 23/01/2009). In: , 2009.
De Decker, Arnaud ; Lee, John Aldo ; Verleysen, Michel. Variance Stabilizing Transformations in Patch-Based Bilateral Filters for Poisson Noise Image Denoising. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009) (Minneapolis (Minnesotta/USA), du 02/09/2009 au 06/09/2009). In: Proceedings of EMBC 2009, International Conference of the IEEE Engineering in Medicine and Biology Society, 2009, p. 3673-3676.
de Lannoy, Gaël ; De Decker, Arnaud ; Verleysen, Michel. A supervised learning approach based on the continuous wavelet transform for R spike detection in ECG. First International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2008) (Madeira (Portugal), du 28/01/2008 au 31/01/2008). In: Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2008), Control and communication, 2008. 978-989-8111-18-0, 140-145.
Rui Nian ; Guangrong Ji ; Verleysen, Michel. An Alternative to Center-based Clustering Algorithm via Statistical Learning Analysis. 4th International Conference on Intelligent Computing (ICIC 2008) (Shanghai (China), du 15/09/2008 au 18/09/2008). In: Advanced Intelligent Computing Theories and Applications With Aspects of Artificial Intelligence., Springer-verlag, 2008. 978-3-540-85983-3, p. 693-700. doi:10.1007/978-3-540-85984-0_83. doi:10.1007/978-3-540-85984-0_83.
Rui Nian ; Guangrong Ji ; Verleysen, Michel. An unsupervised Gaussian mixture classification mechanism based on statistical learning analysis. Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2008) (Shandong (China), du 18/10/2008 au 20/10/2008). In: Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2008), IEEE, 2008. 978-0-7695-3305-6, 14-18. doi:10.1109/FSKD.2008.333. doi:10.1109/FSKD.2008.333.
Frénay, Benoît ; de Lannoy, Gaël ; Verleysen, Michel. Emission Modelling for Supervised ECG Segmentation using Finite Differences. 4th European Conference of the International Federation for Medical and Biological Engineering - MBEC 2008 (Antwerp (Belgium)). In: Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering - MBEC 2008, Springer verlag, 2008. 978-3-540-89207-6, p. 1212-1216.
François, Damien ; Krier, Catherine ; Rossi, Fabrice ; Verleysen, Michel. Estimation de redondance pour le clustering de variables spectrales. 10th European Symposium on Statistical Methods for the Food Industry (AGROSTAT 2008) (Louvain-la-Neuve (Belgium), du 23/01/2008 au 25/01/2008). In: Proceedings of the 10th European Symposium on Statistical Methods for the Food Industry (AGROSTAT 2008), 2008, p. 55-61.
Verleysen, Michel. Feature selection with low-dimensional mutual information. 8th International Conference on Operations Research (OrHavana 2008) (Havana (Cuba), du 25/02/2008 au 29/02/2008). In: Proceedings of the 8th International Conference on Operations Research (OrHavana 2008), 2008.
Verleysen, Michel. High-dimensional Data Analysis and Feature Selection. EVIC (Latin-American Summer School on Computational Intelligence) (Santiago (Chile), du 15/12/2008 au 17/12/2008).
Delannay, Nicolas ; Archambeau, Cédric ; Verleysen, Michel. Improving the robustness to outliers of mixtures of probabilistic PCAs. 12th Pacific-Asia Conference (PAKDD 2008) (Osaka (Japan), du 20/05/2008 au 23/05/2008). In: Advances in Knowledge Discovery and Data Mining, Springer-verlag, 2008. 978-3-540-68124-3, p. 527-535. doi:10.1007/978-3-540-68125-0_47.
Garcia-Laencina, Pedro ; Sancho-Gomez, José-Luis ; Figueiras-Vidal, Anibal R. ; Verleysen, Michel. K-nearest neighbours based on mutual information for incomplete data classification. 16th European Symposium on Artificial Neural Networks (ESANN 2008) (Bruges (Belgium), du 23/05/2008 au 25/04/2008). In: Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN 2008), 2008. 2-930307-08-0, p. 25-30.
Onclinx, Victor ; Wertz, Vincent ; Verleysen, Michel. Nonlinear data projection on a sphere with a controlled trade-off between trustworthiness and continuity. 16th European Symposium on Artificial Neural Networks (ESANN 2008) (Bruges (Belgium), du 23/04/2008 au 25/04/2008). In: Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN 2008), 2008. 2-930307-08-0, p. 43-48.
Verleysen, Michel. Nonlinear projection. EVIC (Latin-American Summer School on Computational Intelligence) 2008 (Santiago (Chile), du 15/12/2008 au 17/12/2008).
Verleysen, Michel ; François, Damien. Parameter-free feature selection with mutual information. First workshop of the ERCIM Working Group on Computing and Statistics (Neuchâtel/Suisse, du 19/06/2008 au 21/06/2008). In: Proceedings of the first workshop of the ERCIM Working Group on Computing and Statistics, 2008, p. 13.
Onclinx, Victor ; Verleysen, Michel ; Wertz, Vincent. Projection of time series with periodicity on a sphere. European Symposium on Time Series Prediction (ESTSP'08) (Porvoo (Finland), du 17/09/2008 au 19/09/2008). In: Proceedings of the European Symposium on Time Series Prediction (ESTSP'08), 2008, p. 47-56.
Lee, John Aldo ; Verleysen, Michel. Quality Assessment of nonlinear dimensionality reduction based on K-ary neighborhood. FSDM 2008, New Challenges for feature selection in data mining and knowledge discovery (Antwerp (Belgium), 15/09/2008). In: Journal of Machine Learning Research: Workshop and Conference proceedings, Vol. 4, p. 21-35 (2008).
Lee, John Aldo ; Verleysen, Michel. Rank-based quality assessment of nonlinear dimensionality reduction. 16th European Symposium on Artificial Neural Networks (ESANN 2008) (Bruges (Belgium), du 23/04/2008 au 25/04/2008). In: Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN 2008), 2008. 2-930307-08-0, p. 49-54.
de Lannoy, Gaël ; Frénay, Benoît ; Verleysen, Michel ; Delbeke, Jean. Supervised ECG Delineation Using the Wavelet Transform and Hidden Markov Models. 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008) (Antwerp (Belgium), du 23/11/2008 au 27/11/2008). In: Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008), Springer verlag, 2008. 978-3-540-89207-6, 22-25.
Eirola, Emil ; Liitiäinen, Elia ; Lendasse, Amaury ; Corona, F. ; Verleysen, Michel. Using the Delta Test for Variable Selection. 16th European Symposium on Artificial Neural Networks (ESANN 2008) (Bruges (Belgium), du 23/04/2008 au 25/04/2008). In: Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN 2008), 2008. 2-930307-08-0, p. 25-30.
Diambeidou, M.B ; Wertz, Vincent ; Verleysen, Michel ; Gailly, Benoît ; François, Damien. An Empirical Taxonomy of Start-Up Firms Growth Trajectories. The OECD Entrepreneurship Indicators Programme: Workshop on the Measurement of High-Growth Enterprises (Paris (France), 19/11/2007). In: The OECD Entrepreneurship Indicators Programme : Workshop on the Measurement of High-Growth Enterprises, p. 28 (2007). In: proceedings of the OECD Entrepreneurship Indicators Programme: Workshop on the Measurement of High-Growth Enterprises, 2007, 28 pages.
Delannay, Nicolas ; Verleysen, Michel. Collaborative filtering with interlaced Generalized Linear Models. European Symposium on Artificial Neural Networks (ESANN 2007) (Bruges (Belgium), du 25/04/2007 au 27/04/2007). In: Proceedings of the 2007 European Symposium on Artificial Neural Networks (ESANN 2007), d-side publi., 2007. 2-930307-07-2, p. 247-252.
François, Damien ; Krier, Catherine ; Rossi, Fabrice ; Verleysen, Michel. Estimation de redondance conditionnelle par information mutuelle, application au clustering de variables spectrales. Chimiométrie 2007 (Lyon (France), du 29/11/2007 au 30/11/2007). In: Proceedings de Chimiométrie 2007, 2007, p. 43-46.
Krier, Catherine ; François, Damien ; Rossi, Fabrice ; Verleysen, Michel. Feature clustering and mutual information for the selection of variables in spectral data. European Symposium on Artificial Neural Networks (ESANN 2007) (Bruges (Belgium), du 25/04/2007 au 27/04/2007). In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2007), 2007. 2-930307-07-2, p. 157-162.
Verleysen, Michel. Feature selection with mutual information and resampling. Dagstuhl seminar "Similary-based clustering and its application to medicine and biology" (Dagstuhl (Germany), du 25/03/2007 au 30/03/2007).
Dablemont, Simon ; Van Bellegem, Sébastien ; Verleysen, Michel. Forecasting high and low of financial time series by particle filters and Kalman filters. In: , 2007.
De Decker, Arnaud ; de Lannoy, Gaël ; Verleysen, Michel. Functional SOM for variable-length signal windows. 6th International Workshop on Self-Organizing Maps (WSOM 2007) (Bielefeld (Germany), du 03/09/2007 au 06/09/2007). In: Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM 2007), 2007, p. 6 pages.
Verleysen, Michel. High-dimensional data. Artificial Perception doctoral school (Universidad del Pais Vasco (Spain), 18/06/2007).
Verleysen, Michel. Independent Component Analysis and Nonlinear Projections. Artificial Perception doctoral school (Universidad del Pais Vasco (Spain), 19/06/2007).
Gomez-Verdejo, Vanessa ; Verleysen, Michel ; Fleury, Jérôme. Information-theoretic feature selection for the classification of hysteresis curves. International Work-Conference on Artificial Neural Networks (IWANN'07) (San Sebastian (Spain), du 20/06/2007 au 22/06/2007). In: International Work-Conference on Artificial Neural Networks (IWANN '07) (Lecture Notes in Computer Science; 4507), Springer-Verlag: Berlin-Heidelberg, 2007, 522-529.
Verleysen, Michel. Learning High-Dimensional Data with Artificial Neural Networks. n/a (University of Groningen (The Netherlands), 03/12/2007).
Archambeau, Cédric ; Delannay, Nicolas ; Verleysen, Michel. Mixtures of robust probabilistic principal component analyzers. European Symposium on Artificial Neural Networks (ESANN 2007) (Bruges (Belgium), du 25/04/2007 au 27/04/2007). In: Proceedings of the 2007 European Symposium on Artificial Neural Networks (ESANN 2007), d-side publi., 2007. 2-930307-07-2, p. 229-234.
Dablemont, Simon ; Van Bellegem, Sébastien ; Verleysen, Michel. Modelling and Forecasting financial time series of "tick data" by functional analysis and neural networks. Forecasting Financial Markets 2007 (Aix-en-Provence (France), du 30/05/2007 au 01/06/2007). In: Proceedings of Forecasting Financial Markets 2007, 2007, p. 1-18.
Verleysen, Michel ; Archambeau, Cédric. PCA and Mixtures of PCA: Improving the robustness to outliers. SAMOS-MATISSE-CES (Université Paris 1 Panthéon-Sorbonne (France), 26/10/2007).
Verleysen, Michel. Sélection de variables par information mutuelle et rééchantillonnage. SAMOS-MATISSE-CES (Université Paris 1 Panthéon-Sorbonne (France), 23/02/2007).
Verleysen, Michel. Time series prediction and the curse of dimensionality. European Symposium on Time Series Prediction (ESTSP 2007) (Helsinki (Finland), du 07/02/2007 au 09/02/2007).
Diambeidou, M.B ; Verleysen, Michel ; Gailly, Benoît. Une Taxonomie des Trajectoires de Croissance Initiale des jeunes Entreprises. 5e Congrès International de l'Académie de l'Entrepreneuriat (Sherbrooke (Canada), du 04/10/2007 au 05/10/2007). In: Proceedings du Vème Congrès International de l’Académie de l’Entrepreneuriat, 2007, 27 pages.
Rossi, Fabrice ; François, Damien ; Wertz, Vincent ; Verleysen, Michel. A functional approach to variable selection in spectrometric problems. 16th International Conference on Artificial Neural Networks (ICANN 2006) (Athens (Greece), du 10/09/2006 au 14/09/2006). In: Lecture Notes in Computer Science, Vol. 4131, p. 11-20 (2006). doi:10.1007/11840817_2.
Lee, John Aldo ; Vrins, Frédéric ; Verleysen, Michel. A least absolute bound approach to ICA: application to the MLSP 2006 competition. IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2006) (Maynooth, Ireland, du 06/09/2006 au 08/09/2006). In: Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, IEEE, 2006. 1-4244-0657-9, 41-46.
Archambeau, Cédric ; Valle, M. ; Assenza, A. ; Verleysen, Michel. Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. IEEE International Symposium on Circuits and Systems (ISCAS 2006) (Island of Kos (Greece), du 21/05/2006 au 24/05/2006). In: Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS 2006), IEEE, 2006. 0-7803-9389-9, 3245-3248.
Delannay, Nicolas ; Archambeau, Cédric ; Verleysen, Michel. Automatic adjustment of discriminant adaptive nearest neighbor. 18th International Conference on Pattern Recognition (ICPR 2006) (Hong Kong (China), du 20/08/2006 au 24/08/2006). In: Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), IEEE comput. soc, 2006. 0-7695-2521-0, 4 pages.
Lendasse, Amaury ; Corona, F. ; Hao, J. ; Reyhani, N. ; Verleysen, Michel. Determination of the Mahalanobis matrix using nonparametric noise estimations. 14th European Symposium on Artificial Neural Networks (ESANN 2006) (Bruges (Belgium), du 26/04/2006 au 28/04/2006). In: Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN 2006), 2006. 2-930307-06-4, p. 227-232.
Herrera, L. J. ; Pomares, H. ; Rojas, I. ; Verleysen, Michel ; Guilen, A.. Effective input variable selection for function approximation. 16th International Conference on Artificial Neural Networks (ICANN 2006) (Athens (Greece), du 10/09/2006 au 14/09/2006). In: Lecture Notes in Computer Science, no. 4131, p. 41-50 (2006). doi:10.1007/11840817_5.
Sameni, R. ; Vrins, Frédéric ; Parmentier, F. ; Vigneron, Vincent ; Verleysen, Michel ; Jutten, Christian ; Shamsollahi, M.B. ; Hérail, C.. Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria. 26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2006) (CNRS (Paris/France), du 08/07/2006 au 13/07/2006). In: Proceedings of MaxEnt 2006, 2006.
Biga Diambeidou, Mahamadou ; Wertz, Vincent ; Verleysen, Michel ; Gailly, Benoît ; François, Damien. Empirical Taxonomy of Start-Up Firms Growth Trajectories. European Summer University Conference on Entrepreneurship and Entrepreneurship Education Research (ESUCO 2006) (Hämeenlinna (Finland), du 25/08/2006 au 30/08/2006). In: Proceedings of the European Summer University Conference on Entrepreneurship and Entrepreneurship Education Research (ESUCO 2006), 2006, 506-530.
Krier, Catherine ; François, Damien ; Wertz, Vincent ; Verleysen, Michel. Feature Scoring by Mutual Information for Classification of Mass Spectra. 7th International FLINS Conference on Applied Artificial Intelligence (FLINS 2006) (Genova (Italy), du 29/08/2006 au 31/08/2006). In: Proceedings of the 7th International FLINS Conference on Applied Artificial Intelligence (FLINS 2006) (World Scientific), D. Ruan, P. D'Hondt, P.F. Fantoni, M. De Cock, M. Nechtegael, E.E. Kerre eds, 2006, 557-564.
Simon, Geoffroy ; Verleysen, Michel. Lag selection for regression models using high-dimensional mutual information. 14th European Symposium on Artificial Neural Networks (ESANN 2006) (Bruges (Belgium), du 26/04/2006 au 28/04/2006). In: Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN 2006), D-side, 2006. 2-930307-06-4, 395-400.
Dablemont, Simon ; Verleysen, Michel ; Van Bellegem, Sébastien. Modelling and Forecasting financial time series of "tick data". 26th International Sysmposium on Forecasting (ISF 2006) (Santander (Spain), du 11/06/2006 au 14/06/2006). In: Proceedings of the 26th International Sysmposium on Forecasting (ISF 2006), 2006, p. 60.
Caetano, Sonia ; Krier, Catherine ; Verleysen, Michel ; Vander Heyden, Yvan. Modélisation de la qualité des séparations énantiomériques utilisant le critère d'information mutuelle. Chimiométrie 2006 (Paris (France), du 30/11/2006 au 01/12/2006). In: Proceedings de Chimiométrie 2006, 2006, p. 170-173.
Caetano, Sonia ; Krier, Catherine ; Verleysen, Michel ; Vander Heyden, Yvan. Mutual Information for the selection of variables to model enantioselectivity. 4th International Chemometrics Research Symposium (ICRM 2006) (Veldhoven (the Netherlands), du 28/05/2006 au 01/06/2006). In: Proceedings of the 4th International Chemometrics Research Symposium (ICRM 2006), 2006.
Lee, John Aldo ; Vrins, Frédéric ; Verleysen, Michel. Non-Orthogonal Support-Width ICA. 14th European Symposium on Artificial Neural Networks (ESANN 2006) (Bruges (Belgium), du 26/04/2006 au 28/04/2006). In: Proceedings the 14th European Symposium on Artificial Neural Networks (ESANN 2006), D-side, 2006. 2-930307-06-4, p. 351-358.
Archambeau, Cédric ; Delannay, Nicolas ; Verleysen, Michel. Robust Probabilistic Projections. 23rd International Conference on Machine Learning (ICML 2006) (Pittsburgh (PA/USA), du 26/06/2006 au 28/06/2006). In: Proceedings of the 23rd International Conference on Machine Learning (ICML 2006), 2006, p. 33-40.
François, Damien ; Wertz, Vincent ; Verleysen, Michel. The permutation test for feature selection by mutual information. 14th European Symposium on Artificial Neural Networks (ESANN 2006) (Bruges (Belgium), du 26/04/2006 au 28/04/2006). In: Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN 2006), 2006. 2-930307-06-4, p. 239-244.
Krier, Catherine ; François, Damien ; Verleysen, Michel. Une approche orientée données pour la projection de variables spectrales en spectrométrie. Chimiométrie 2006 (Paris (France), du 30/11/2006 au 01/12/2006). In: Proceedings de Chimiométrie 2006, 2006, p. 53-59.
Lee, John Aldo ; Vrins, Frédéric ; Verleysen, Michel. A simple ICA algorithm for non-differentiable contrasts. 13th European Signal Processing Conference (EUSIPCO 2005) (Antalya (Turkey), du 04/09/2005 au 08/09/2005). In: Proceedings of EUSIPCO 2005, 2005, 1412: 1-4.
François, Damien ; Wertz, Vincent ; Verleysen, Michel. About the locality of kernels in high-dimensional spaces. ASMDA 2005, International Symposium on Applied Stochastic Models and Data Analysis (Brest (France), du 17/05/2005 au 19/05/2005). In: Proceedings of ASMDA 2005, International Symposium on Applied Stochastic Models and Data Analysis, 2005, p. 238-245.
Vrins, Frédéric ; Lee, John Aldo ; Verleysen, Michel. Can we always trust entropy minima in the ICA context ?. 13th European Signal Processing Conference (EUSIPCO 2005) (Antalya, Turkey, du 04/09/2005 au 08/09/2005). In: Proceedings of EUSIPCO 2005, 2005, 1107: 1-4.
Yen, Luh ; VanVyve, Denise J. ; Wouters, Fabien ; Fouss, François ; Verleysen, Michel ; Saerens, Marco. Clustering using a random walk-based distance measure. 13th European Symposium on Artificial Neural Networks (du 27/04/2005 au 2005/04/29). In: Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005. 2-930307-05-6, p. 317-324.
Lendasse, Amaury ; François, Damien ; Wertz, Vincent ; Verleysen, Michel. Estimation non paramétrique de bruit pour la construction de modèles non linéaires en spectrométrie. Chimiométrie 2005 (Villeneuve d'Ascq (France), du 30/11/2005 au 01/12/2005). In: Proceedings de Chimiométrie 2005, 2005, p. 143-146.
Lendasse, Amauri ; Simon, Geoffroy ; Wertz, Vincent ; Verleysen, Michel. Fast bootstrap methodology for regression model selection. 12th European Symposium on Artificial Neural Networks (ESANN) (Brugge(Belgium), Apr 28-30, 2004). In: Neurocomputing, Vol. 64, p. 161-181 (2005). In: Neurocomputing, Elsevier Science Bv: Amsterdam, 2005, 161-181. doi:10.1016/j.neucom.2004.11.017.
Lee, John Aldo ; Verleysen, Michel. Generalisation of the LP norm for time series and its application to Self-Organizing Maps. Proceedings of WSOM 2005, 5th Workshop on Self-Organizing Maps (Paris (France), du 05/09/2005 au 08/09/2005).
Lendasse, Amaury ; Ji, Jongnan ; Reyhani, Nima ; Verleysen, Michel. LS-SVM hyperparameter selection with a nonparametric noise estimator. 15th International Conference on Artificial Neural Networks (ICANN 2005) (Warsaw (Poland), du 11/09/2005 au 15/09/2005). In: Lecture Notes in Computer Science, Vol. 3697, p. 625-630 (2005). In: , Springer-verlag Berlin: Berlin, 2005.
de Marneffe, Marie-Catherine ; Archambeau, Cédric ; Dupont, Pierre ; Verleysen, Michel. Local Vector-based Models for Sense Discrimination. Proceedings of IWCS 2005, 6th International Workshop on Computational Semantics (Tilburg (the Netherlands), du 12/01/2005 au 14/01/2005).
Archambeau, Cédric ; Verleysen, Michel. Manifold constrained finite Gaussian mixtures. 8th International Work-Conference on Artificial Neural Networks (IWANN 2005) (Barcelona (Spain), du 08/06/2005 au 10/06/2005). In: Lecture Notes in Computer Science, Vol. 3512, p. 820-828 (2005).
Archambeau, Cédric ; Verleysen, Michel. Manifold constrained variational mixtures. 15th International Conference on Artificial Neural Networks (ICANN 2005) (Warsaw (Poland), du 11/09/2005 au 15/09/2005). In: Lecture Notes in Computer Science, Vol. 3697, p. 279-284 (2005).
Dablemont, Simon ; Verleysen, Michel. Modelling and forecasting of financial time series of "tick data" by functional analysis and neural networks. Decision Sciences Institute International Conference (DSI'05) (Barcelona (Spain), du 03/07/2005 au 06/07/2005). In: Proceedings of the Decision Sciences Institute International Conference (DSI'05), 2005, p. 159-165.
François, Damien ; Wertz, Vincent ; Verleysen, Michel. Non Euclidean metrics for similarity search in noisy datasets. ESANN 2005, 13h European Symposium on Artificial Neural Networks (Bruges (Belgium), du 27/04/2005 au 29/04/2005). In: Proceedings of ESANN 2005, 13h European Symposium on Artificial Neural Networks, 2005, p. 339-344.
Simon, Geoffroy ; Lee, John Aldo ; Verleysen, Michel. On the need of unfolding preprocessing for time series clustering. 5th Workshop on Self-Organizing Maps (WSOM 2005) (Paris (France), du 05/09/2005 au 08/09/2005). In: Proceedings the 5th Workshop on Self-Organizing Maps (WSOM 2005), 2005, p. 251-258.
Sorjamaa, A. ; Lendasse, Amaury ; Verleysen, Michel. Pruned Lazy Learning Models for Time Series Prediction. ESANN 2005, 13h European Symposium on Artificial Neural Networks (Bruges (Belgium), du 27/04/2005 au 29/04/2005). In: Proceedings of ESANN 2005, European Symposium on Artificial Neural Networks, 2005, p. 509-514.
Rossi, Fabrice ; Delannay, Nicolas ; Conan-Guez, Brieuc ; Verleysen, Michel. Representation of functional data in neural networks. 12th European Symposium on Artificial Neural Networks (ESANN) (Brugge(Belgium), Apr 28-30, 2004). In: Neurocomputing, Vol. 64, p. 183-210 (2005). In: Neurocomputing, Elsevier Science Bv: Amsterdam, 2005, 183-210. doi:10.1016/j.neucom.2004.11.012.
Vrins, Frédéric ; Verleysen, Michel ; Jutten, Christian. SWM : a class of convex contrasts for source separation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005) (Philadelphia, PA, USA, du 18/03/2005 au 23/03/2005). In: IEEE International Conference on Acoustics, Speech, and SignalProcessing (ICASSP 2005), IEEE, 2005. 0-7803-8874-7, Vol. 5, p. 16:1-4.
Pham, Dinh-Tuan ; Vrins, Frédéric ; Verleysen, Michel. Spurious entropy minima for multimodal source separation. 8th International Symposium on Signal Processing and its Applications (ISSPA 2005) (Sydney, Australia, du 28/08/2005 au 31/08/2005). In: Proceedings of ISSPA 2005, 2005, 37-40.
Rossi, Fabrice ; François, Damien ; Wertz, Vincent ; Verleysen, Michel. Sélection de groupes de variables spectrales par information mutuelle grâce à une représentation spline. Chimiométrie 2005 (Villeneuve d'Ascq (France), du 30/11/2005 au 01/12/2005). In: Proceedings de Chimiométrie 2005, 2005, p. 52-55.
Verleysen, Michel ; François, Damien. The curse of dimensionality in data mining and time series prediction. 8th International Work-Conference on Artificial Neural Networks (IWANN 2005) (Barcelona (Spain), du 08/06/2005 au 10/06/2005). In: Lecture Notes in Computer Science, Vol. 3512, p. 758-770 (2005).
Simon, Geoffroy ; Lendasse, Amauri ; Cottrell, Marie ; Fort, JC ; Verleysen, Michel. Time series forecasting: Obtaining long term trends with self-organizing maps. 1st IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (Florence(Italy), Sep 12-13, 2003). In: Pattern Recognition Letters, Vol. 25, no. 12, p. 1795-1808 (2005). In: , Elsevier Science Bv: Amsterdam, 2005. doi:10.1016/j.patrec.2005.03.002.
Catteau, Didier ; Simon, Geoffroy ; Ben Omrane, Walid ; Verleysen, Michel. Using the Self-Organizing Maps to prove empirically the market inefficiency: Evidence from the Paris Stock Exchange. Connectionist Approaches in Economics and Management Sciences (ACSEG 2005) (Aix-en-Provence (France), du 17/11/2005 au 18/11/2005). In: Proceedings of Connectionist Approaches in Economics and Management Sciences (ACSEG 2005), 2005, p. 78-89.
Vrins, Frédéric ; Vigneron, Vincent ; Jutten, Christian ; Verleysen, Michel. Abdominal electrodes analysis by statistical processing for fetal eletrocardiogram extraction. Second IASTED International Conference on Biomedical Engineering (BIOMED 2004) (Innsbruck, Austria, du 16/02/2004 au 18/02/2004). In: Proceedings of the Second IASTED International Conference on Biomedical Engineering ( BIOMED), 2004, p. 244-249.
Sorjamaa, Antii ; Lendasse, Amaury ; François, Damien ; Verleysen, Michel. Business plans classification with locally pruned lazy learning models. Connectionist Approaches in Economics and Management Sciences (ACSEG 2004) (Lille, France, du 18/11/2004 au 19/11/2004). In: Proceedings of ACSEG 2004, 2004, p. 112-119.
Dablemont, Simon ; Verleysen, Michel. Classification et prédiction fonctionnelles d'actifs boursiers en intraday. Connectionist Approaches in Economics and Management Sciences (ACSEG 2004) (Lille (France), du 18/11/2004 au 19/11/2004). In: Proceedings of Connectionist Approaches in Economics and Management Sciences (ACSEG 2004), 2004, p. 30-38.
Simon, Geoffroy ; Lee, John Aldo ; Verleysen, Michel ; Cottrell, Marie. Double Quantization Forecasting Method for Filling Missing Data in the CATS Time Series. IJCNN 2004, International Joint Conference on Neural Networks (Budapest (Hungary), du 25/07/2004 au 29/07/2004). In: Proceedings of IJCNN 2004, International Joint Conference on Neural Networks, 2004, p. 1635-1640.
Vrins, Frédéric ; Archambeau, Cédric ; Verleysen, Michel. Entropy Minima and Distribution Structural Modifications in Blind Separation of Multimodal Sources. 24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2004) (Garching/Munich, Germany, du 25/07/2004 au 30/07/2004). In: Proceedings of MaxEnt 2004, American Institute of Physics, 2004, 589-596.
Lendasse, Amaury ; Wertz, Vincent ; Simon, Geoffroy ; Verleysen, Michel. Fast Bootstrap applied to LS-SVM for long Term Prediction of Time Series. IJCNN'04, 2004 International Joint Conference on Neural Networks (Budapest (Hungary), du 25/07/2004 au 29/07/2004). In: Proceedings of IJCNN 2004, International Joint Conference on Neural Networks, 2004, p. 705-710.
Lendasse, Amaury ; Simon, Geoffroy ; Wertz, Vincent ; Verleysen, Michel. Fast bootstrap for Least-Square Support Vector Machines. ESANN 2004, European Symposium on Artificial Neural Networks (Bruges (Belgium), du 28/04/2004 au 30/04/2004). In: Proceedings of ESANN 2004, European Symposium on Artificial Neural Networks, 2004, p. 525-530.
Archambeau, Cédric ; Vrins, Frédéric ; Verleysen, Michel. Flexible and Robust Bayesian Classification by Finite Mixture Models. ESANN 2004, European Symposium on Artificial Neural Networks (Bruges (Belgium), du 28/04/2004 au 30/04/2004). In: Proceedings of ESANN 2004, European Symposium on Artificial Neural Networks, 2004, p. 75-80.
Delannay, Nicolas ; Rossi, Fabrice ; Conan-Guez, B. ; Verleysen, Michel. Functional Radial Basis Function Network (FRBFN). ESANN 2004, European Symposium on Artificial Neural Networks (Bruges (Belgium), du 28/04/2004 au 30/04/2004). In: Proceedings of ESANN 2004, European Symposium on Artificial Neural Networks, 2004, p. 313-318.
Lee, John Aldo ; Verleysen, Michel. How to project 'circular' manifolds using geodesic distances?. ESANN 2004, European Symposium on Artificial Neural Networks (Bruges (Belgium), du 28/04/2004 au 30/04/2004). In: Proceedings of ESANN 2004, European Symposium on Artificial Neural Networks, 2004, p. 223-230.
Lee, John Aldo ; Jutten, Christian ; Verleysen, Michel. Non-linear ICA by using isometric dimensionality reduction. 5th International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004) (Granada (Spain), du 22/09/2004 au 24/09/2004). In: Lecture Notes in Computer Science, Vol. 3195, p. 710-717 (2004). doi:10.1007/978-3-540-30110-3_90.
François, Damien ; Verleysen, Michel ; Wertz, Vincent ; Gailly, Benoît ; Biga Diambeidou, Mahamadou. Observer des Trajectoires de 'Start-up' sur des Cartes de Kohonen. ACSEG 2004, Connectionist Approaches in Economics and Management Sciences (Lille, France, 18-19 November).
François, Damien ; Biga Diambeidou, Mahamadou ; Gailly, Benoît ; Wertz, Vincent ; Verleysen, Michel. Observer des Trajectoires de 'Start-up' sur des Cartes de Kohonen. Connectionist Approaches in Economics and Management Sciences (ACSEG 2004) (Lille (France), du 18/11/2004 au 19/11/2004). In: Proceedings of ACSEG 2004, 2004, p. 302-307.
Vrins, Frédéric ; Bouillon, V. ; Deswert, J. ; Bouvy, D. ; Lee, John Aldo ; Eugène, Christian ; Verleysen, Michel. On the extraction of the snore acoustic signal by independent component analysis. Second IASTED International Conference on Biomedical Engineering (BIOMED 2004) (Innsbruck (Austria), du 16/02/2004 au 18/02/2004). In: Proceedings of the Second IASTED International Conference on Biomedical Engineering ( BIOMED), 2004, p. 326-331.
François, Damien ; Wertz, Vincent ; Verleysen, Michel. Open questions about similarity search in high-dimensional spaces. 23rd Benelux Meeting on Systems and Control (Helvoirt (The Netherlands), du 17/03/2004 au 19/03/2004). In: Proceedings of the 23rd Benelux Meeting on Systems and Control, 2004, p. 112.
Donckers, Nicolas ; Butaye, Olivier ; Flandre, Denis ; Verleysen, Michel. Point mémoire analogique basse tension basé sur l'effet GIDL. TAISA 2004 - 5ème Colloque sur le Traitement Analogique de l'Information, du Signal et ses Applications (Lausanne (Suisse), du 30/09/2004 au 01/10/2004). In: Proceedings of TAISA 2004 - 5ème Colloque sur le Traitement Analogique de l'Information, du Signal et ses Applications, 2004, 55-58.
Benoudjit, Nabil ; François, Damien ; Meurens, Marc ; Verleysen, Michel. Spectrophotometric variable selection by mutual information. 6th Annual Congress of Chemometrics (Conservatorie Natl Arts & Metiers, Paris (France), Dec 03-04, 2003). In: Chemometrics and Intelligent Laboratory Systems, Vol. 74, no. 2, p. 243-251 (2004). doi:10.1016/j.chemolab.2004.04.015.
Archambeau, Cédric ; Butz, Torsten ; Popovici, Vlad ; Verleysen, Michel ; Thiran, Jean-Philippe. Supervised Nonparametric Information Theoretic Classification. ICPR'04, 17th Intenational Conference on Pattern Recognition (Cambridge (United Kingdom), du 23/08/2004 au 26/08/2004). In: Proceedings of ICPR'04, 17th Intenational Conference on Pattern Recognition, 2004, p. 414-417.
Lendasse, Amaury ; François, Damien ; Wertz, Vincent ; Verleysen, Michel. Sélection de variables spectrales par information mutuelle multivariée pour la construction de modèles non-linéaires. Chimiométrie 2004 (Paris (France), du 30/11/2004 au 01/12/2004).
Gailly, Benoît ; Wertz, Vincent ; Verleysen, Michel ; Biga Diambeidou, Mahamadou ; François, Damien. The Growth Trajectories of Start-Up Firms: An Exploratory Study. ESU entrepreneurship conference (Twente, The Netherlands, 19-21 September).
Gailly, B. ; François, Damien ; Biga Diambeidou, Mahamadou ; Verleysen, Michel ; Wertz, Vincent. The Growth Trajectories of Start-Up Firms: An Exploratory Study. ESU entrepreneurship conference (Twente (The Netherlands), du 19/09/2004 au 21/09/2004). In: Proceedings of the ESU entrepreneurship conference, 2004, p. 1-16.
Lendasse, Amaury ; Oja, Erkki ; Simula, Olli ; Verleysen, Michel. Time Series Prediction Competition: The CATS Benchmark. IJCNN'2004 – International Joint Conference on Neural Networks (Budapest (Hungary), du 25/07/2004 au 29/07/2004). In: Proceedings of IJCNN'2004 – International Joint Conference on Neural Networks, 2004, p. 1615-1620.
Vrins, Frédéric ; Archambeau, Cédric ; Verleysen, Michel. Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions ?. European Symposium on Artificial Neural Networks (ESANN 2004) (Bruges, Belgium, du 28/04/2004 au 30/04/2004). In: Proceedings of ESANN 2004, 2004, 211-216.
Simon, Geoffroy ; Lendasse, Amaury ; Verleysen, Michel. Bootstrap for model selection: linear approximation of the optimism. 7th International Work Conference on Artificial and Natural Neural Networks (IWANN 2003) (MENORCA (Spain), du 03/06/2003 au 06/06/2003). In: Lecture Notes in Computer Science, Vol. 2686, p. 182-189 (2003). In: Computational Methods in Neural Modeling, Springer-Verlag: Berlin-Heidelberg, 2003. doi:10.1007/3-540-44868-3_24.
Archambeau, Cédric ; Delbeke, Jean ; Verleysen, Michel. Classification of visual sensations generated electrically in the visual field of the blind. IFAC 2003, 5th IFAC Symposium on Modelling and Control in Biomedical Systems (Melbourne (Australia), du 21/08/2003 au 23/08/2003). In: Proceedings of IFAC 2003, 5th IFAC Symposium on Modelling and Control in Biomedical Systems, 2003, p. 223-228.
Simon, Geoffroy ; Lendasse, Amaury ; Cottrell, Marie ; Fort, Jean-Claude ; Verleysen, Michel. Double SOM for Long-term Time Series Prediction. WSOM 2003, Workshop on Self-Organizing Maps, Kyushu Institute of Technology (Hibikino (Japan), du 11/09/2003 au 14/09/2003). In: Proceedings of WSOM 2003, Workshop on Self-Organizing Maps, 2003, p. 340-345.
Lendasse, Amaury ; Wertz, Vincent ; Simon, Geoffroy ; Verleysen, Michel. Fast Bootstrap for Model Structure Selection. 22nd Benelux Meeting on Systems and Control (Lommel (Belgium), du 19/03/2003 au 21/03/2003). In: Proceedings of the 22nd Benelux Meeting on Systems and Control, 2003, p. 81.
Simon, Geoffroy ; Lendasse, Amaury ; Wertz, Vincent ; Verleysen, Michel. Fast approximation of the bootstrap for model selection. ESANN 2003, European Symposium on Artificial Neural Networks (Bruges (Belgium), du 23/04/2003 au 25/04/2003). In: Proceedings of ESANN 2003, European Symposium on Artificial Neural Networks, d-side publi., 2003. 2-930307-03-X, p. 475-480.
Archambeau, Cédric ; Verleysen, Michel. Fully nonparametric probability density function estimation with finite Gaussian mixture models. 5th International Conference on Advances in Pattern Recognition (ICAPR 2003) (Calcutta (India), du 10/12/2003 au 13/12/2003). In: Proceedings of the 5th International Conference on Advances in Pattern Recognition (ICAPR 2003), Allied Publishers Pvt. Limited: New Delhi, 2003, p. 81-84.
Vrins, Frédéric ; Lee, John Aldo ; Verleysen, Michel ; Vigneron, Vincent ; Jutten, Christian. Improving independent component analysis performances by variable selection. 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (NNSP 2003) (Toulouse (France), du 17/09/2003 au 19/09/2003). In: 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEECat. No.03TH8718), IEEE, 2003. 0-7803-8177-7, p. 359-368.
François, Damien ; Verleysen, Michel ; Wertz, Vincent ; Gailly, Benoît ; Lendasse, A.. Le plan d'affaires : un outil pour l'investisseur ?. ACSEG, 10ème Rencontre Internationale (20-21 novembre).
François, Damien ; Lendasse, Amaury ; Gailly, Benoît ; Wertz, Vincent ; Verleysen, Michel. Le plan d'affaires : un outil pour l'investisseur ?. ACSEG 2003, Connectionist Approaches in Economics and Management Sciences (Nantes (France), du 20/11/2003 au 21/11/2003). In: Proceedings of ACSEG 2003, 2003, p. 239-249.
Verleysen, Michel. Le test des méthodes neuronales ou comment utiliser les techniques de rééchantillonnage pour ne pas se tromper de résultat. ACSEG 2003, Connectionist Approaches in Economics and Management Sciences (Nantes (France), du 20/11/2003 au 21/11/2002). In: Proceedings of ACSEG 2003, 2003, p. 515-534.
Lee, John Aldo ; Archambeau, Cédric ; Verleysen, Michel. Locally Linear Embedding versus Isotop. ESANN 2003, European Symposium on Artificial Neural Networks (Bruges (Belgium), du 23/04/2003 au 25/04/2003). In: Proceedings of ESANN 2003, European Symposium on Artificial Neural Networks, d-side publi., 2003. 2-930307-03-X, p. 527-534.
Simon, Geoffroy ; Lendasse, Amaury ; Cottrell, Marie ; Verleysen, Michel. Long-term time series forecasting using self-organizing maps : the double vector quantization method. ANNPR 2003, Artificial Neural Networks in Pattern Recognition (Florence (Italy), du 12/09/2003 au 13/09/2003). In: Proceedings of ANNPR 2003, Artificial Neural Networks in Pattern Recognition, 2003, p. 8-14.
Lendasse, Amaury ; Wertz, Vincent ; Verleysen, Michel. Model selection with cross-validations and bootstraps - Application to time series prediction with RBFN models. Joint International Conference on Artificial Neural Networks (ICANN)/International on Neural Information Processing (ICANN 2003) (ISTANBUL (Turkey), du 26/06/2003 au 29/06/2003). In: Lecture Notes in Computer Science, Vol. 2714, p. 573-580 (2003). In: , Springer-Verlag: Berlin-Heidelberg, 2003.
Lendasse, Amaury ; François, Damien ; Wertz, Vincent ; Verleysen, Michel. Nonlinear time series prediction by weighted vector quantization. 2003 International Conference on Computational Science (ICCS 2003) (Saint Petersburg (Russian Federation), du 02/06/2003 au 04/06/2003). In: Lecture Notes in Computer Science, Vol. 2657, p. 417-426 (2003). In: Computational Science - ICCS 2003, Springer-Verlag: Berlin-Heidelberg, 2003. doi:10.1007/3-540-44860-8_43.
Archambeau, Cédric ; Lee, John Aldo ; Verleysen, Michel. On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN 2003, European Symposium on Artificial Neural Networks (Bruges (Belgium), du 23/04/2003 au 25/04/2003). In: Proceedings of ESANN 2003, European Symposium on Artificial Neural Networks, d-side publi., 2003. 2-930307-03-X, p. 99-106.
Verleysen, Michel ; François, Damien ; Simon, Geoffroy ; Wertz, Vincent. On the effects of dimensionality on data analysis with neural networks. 7th International Work Conference on Artificial and Natural Neural Networks (IWANN 2003) (Menorca (Spain), du 03/06/2003 au 06/06/2003). In: Lecture Notes in Computer Science, Vol. 2687, p. 105-112 (2003). In: Computational Methods in Neural Modeling, Springer-Verlag: Berlin-Heidelberg, 2003. doi:10.1007/3-540-44869-1_14.
Dablemont, Simon ; Simon, Geoffroy ; Lendasse, Amaury ; Ruttiens, Alain ; Verleysen, Michel. Prédiction de séries temporelles financières par double carte de Kohonen et modèles RBFN locaux: application à la prédiction de l'indice boursier DAX30. ACSEG 2003, Connectionist Approaches in Economics and Management Sciences (Nantes (France), du 20/11/2003 au 21/11/2003). In: Proceedings of ACSEG 2003, 2003, p. 153-164.
François, Damien ; Verleysen, Michel ; Wertz, Vincent ; Lendasse, A. ; Gailly, Benoît. Should Seed Investors Read Business Plans?. 22th Benelux Meeting on Systems and Control (Lommel (Belgium), 19-21 March). In: , 2003.
Dablemont, Simon ; Simon, Geoffroy ; Lendasse, Amaury ; Ruttiens, Alain ; Blayo, François ; Verleysen, Michel. Time series forecasting with SOM and local non-linear models - Application to the DAX30 index prediction. WSOM 2003, Workshop on Self-Organizing Maps (Hibikino (Japan), du 11/09/2003 au 14/09/2003). In: Proceedings of WSOM 2003, Workshop on Self-Organizing Maps, 2003, p. 340-345.
Benoudjit, Nabil ; François, Damien ; Meurens, Marc ; Verleysen, Michel. Utilisation de l'information mutuelle pour la sélection de variables spectrales dans des modèles non-linéaires. Chimiométrie 2003 (Paris (France), du 03/12/2003 au 04/12/2003). In: Proceedings of Chimiométrie 2003, 2003, p. 133-136.
Benoudjit, Nabil ; Cools, Etienne ; Meurens, Marc ; Verleysen, Michel. Calibrage chimiométrique des spectrophotomètres : sélection et validation des variables par modèles non-linéaires. Chimiométrie 2002 Proceedings (Paris (France), du 04/12/2002 au 05/12/2002). In: Proceedings of Chimiométrie 2002, 2002, p. 25-28.
Cardon, Pierre ; Lendasse, Amaury ; Wertz, Vincent ; de Bodt, Eric ; Verleysen, Michel. Classification of investment funds by self-organizing maps. ACSEG 2002, Connectionist Approaches in Economics and Management Sciences (Boulogne-sur-Mer (France), du 21/11/2002 au 22/11/2002). In: Proceedings of ACSEG 2002, 2002, p. 201-212.
Lee, John Aldo ; Lendasse, Amaury ; Verleysen, Michel. Curvilinear Distance Analysis versus Isomap. European Symposium on Artificial Neural Networks(ESANN'02) (Bruges (Belgium), du 24/04/2002 au 26/04/2002). In: Proceedings of ESANN 2002, European Symposium on Artificial Neural Networks, d-side publi., 2002. 2-930307-02-1, p. 185-192.
Lendasse, Amaury ; Lee, John Aldo ; Wertz, Vincent ; Verleysen, Michel. Forecasting electricity consumption using nonlinear projection and self-organizing maps. 8th European Symposium on Artificial Neural Networks (ESANN) (BRUGGE(Belgium), Apr 26-28, 2001). In: Neurocomputing, Vol. 48, p. 299-311 (2002). In: Neurocomputing, Elsevier Science Bv: Amsterdam, 2002, 299-311.
Havran, Carmen ; Hupet, Laurent ; Czyz, Jacek ; Lee, John Aldo ; Vandendorpe, Luc ; Verleysen, Michel. Independent component analysis for face authentication. International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES 2002) (Crema (Italy), du 16/09/2002 au 18/09/2002). In: Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies, IOS press, 2002. 1-58603280-1, 1207-1211.
Kervyn, Thibault ; Donckers, Nicolas ; Verleysen, Michel ; Flandre, Denis. Multiplieur analogique en technologie SOI pour le décodage de turbo-codes. Colloque TAISA 2002 (Paris (France), du 12/09/2002 au 13/09/2002). In: Proceedings du Colloque TAISA 2002, 2002, 69-73.
Lee, John Aldo ; Verleysen, Michel. Nonlinear projection with the isotop method. 12th International Conference on Artifical Neural Networks (ICANN 2002) (Madrid (Spain), du 28/08/2002 au 30/08/2002). In: Lecture Notes in Computer Science, Vol. 2415, p. 933-938 (2002). In: Artificial neural networks, Springer: Berlin, 2002. doi:10.1007/3-540-46084-5_151.
Hubaux, Damien ; Guedria, Lotfi ; Vandendorpe, Luc ; Verleysen, Michel ; Legat, Jean-Didier. Nouvelles méthodes de conception de systèmes électroniques intégrés. 8ème Symposium en architectures nouvelles de machine (SympA'8) (Hamamet (Tunisie), du 10/04/2002 au 13/04/2002). In: Proceedings of SympA'8, 2002, p. 341-345.
Lendasse, Amaury ; Cottrell, Marie ; Wertz, Vincent ; Verleysen, Michel. Prediction of Electric Load using Kohonen Maps - Application to the Polish Electricity Consumption. ACC 2002, American Control Conference (Anchorage (Alaska,USA), du 08/05/2002 au 10/05/2002). In: Proceedings of the American Control Conference 2002 (ACC 2002), 2002, p. 3684-3689.
Lendasse, A. ; Cottrell, M. ; Wertz, Vincent ; Verleysen, Michel. Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption. Proceedings of 2002 American Control Conference (Anchorage, AK, USA, 8-10 May 2002). In: Proceedings of the 2002 American Control Conference (IEEE Cat.No.CH37301), American automatic control council, 2002. 0-7803-7298-0, Vol. 5, p. 3684-9. doi:10.1109/ACC.2002.1024500.
Benoudjit, Nabil ; Archambeau, Cédric ; Lendasse, Amaury ; Lee, John Aldo ; Verleysen, Michel. Width optimization of the Gaussian kernels in Radial Basis Function Networks. European Symposium on Artificial Neural Networks (ESANN'02) (Bruges (Belgium), du 24/04/2002 au 26/04/2002). In: 10th European Symposium on Artificial Neural Networks. ESANN'2002.Proceedings, D-side publications, 2002. 2-930307-02-1, p. 425-432.
Cottrell, Marie ; de Bodt, Eric ; Verleysen, Michel. A Statistical Tool to Assess the Reliability of Self-Organizing Maps. Workshop on Self-Organizing Maps (WSOM 2001) (Lincoln (UK), du 13/06/2001 au 15/06/2001). In: Advances in Self-Organizing Maps, Springer Verlag: Berlin-Heidelberg, 2001. 1-85233-511-4, p. 7-14.
Lendasse, Amaury ; Lee, John Aldo ; de Bodt, Eric ; Wertz, Vincent ; Verleysen, Michel. Approximation using Radial Basis Function Networks - Application to Pricing Derivative Securities. Connectionist Approaches in Economics and Management Sciences (ACSEG 2001) (Rennes (France), du 22/11/2001 au 23/11/2001). In: Proceedings of ACSEG 2001, 2001, p. 275-283.
de Bodt, Eric ; Cottrell, Marie ; Verleysen, Michel. Are they Really Neighbor ? A Statistical Analysis of the SOM Algorithm Output. 8th International Workshop on Artificial Intelligence and Statistics (AISTATS 2001) (Key West, Florida (USA),, du 04/01/2001 au 07/01/2001). In: AISTATS'2001 proceedings, 2001, p. 35-40.
Dualibe, Carlos ; Jespers, Paul ; Verleysen, Michel. Embedded fuzzy control for automatic channel equalization after digital transmissions. International Symposium on Circuits and Systems (ISCAS 2011) (Sydney (Australia), du 06/05/2001 au 09/05/2001). In: Proceedings of ISCAS 2001, International Symposium on Circuits and Systems, 2001, p. 173-176.
Lendasse, Amaury ; Wertz, Vincent ; Verleysen, Michel. Forecasting electricity demand using Kohonen maps. 20th Benelux meeting on Systems and Control (Houffalize (Belgium), 03/2001). In: Proeedings of the 20th Benelux meeting on Systems and Control, 2001, p. 118.
Lendasse, Amaury ; Lee, John Aldo ; de Bodt, Eric ; Wertz, Vincent ; Verleysen, Michel. Input data reduction for the prediction of financial time series. ESANN'2001. 9th European Symposium on Artificial Neural Networks (Bruges, Belgium, du 25/04/2012 au 27/04/2012). In: 9th European Symposium on Artificial Neural Networks. ESANN'2001.Proceedings, D-facto, 2001. 2-930307-01-3, p. 237-244.
Verleysen, Michel. Learning high-dimensional data. NATO Advanced Research Workshop on Limitations and Future Trends in Neural Computing (LFTNC 2001) (Siena (Italy), du 22/10/2001 au 24/10/2001). In: Proceedings of LFTNC 2001, 2001, p. 22.
Dualibe, Carlos ; Jespers, Paul ; Verleysen, Michel. On Designing Mixed-Signal Programmable Fuzzy Logic Controllers as Embedded Subsystems in Standard CMOS Technologies. 14th Symposium on Integrated Circuits and System Design (SBCCI'2001) (Pirenopolis (Brazil), du 10/09/2001 au 15/09/2001). In: Proceedings of SBCCI'2001, 14th Symposium on Integrated Circuits and System Design, 2001, p. 194-200.
Archambeau, Cédric ; Lendasse, Amaury ; Trullemans, Charles ; Veraart, Claude ; Delbeke, Jean ; Verleysen, Michel. Phosphene evaluation in a visual prosthesis with artificial neural networks. EUNITE 2001, European Symposium on Intelligent Techniques, Hybrid Systems and their implementation on Smart Adaptive Systems (Tenerife (Spain), du 13/12/2001 au 14/12/2001). In: Proceedings of EUNITE 2001, European Symposium on Intelligent Techniques, Hybrid Systems and their implementation on Smart Adaptive Systems, Verla Mainz: Aachen (Germany), 2001. 3-89653-916-7, p. 509-515.
Lee, John Aldo ; Donckers, Nicolas ; Verleysen, Michel. Recursive learning rules for SOMs. Workshop on Self-Organizing Maps (WSOM 2001) (Lincoln (UK), du 13/06/2001 au 15/06/2001). In: Advances in Self-Organizing Maps, Springer Verlag: Berlin-Heidelberg, 2001. 1-85233-511-4, p. 67-72.
Dualibe, Carlos ; Jespers, Paul ; Verleysen, Michel. A 5.26 Mflips Programmable Analogue Fuzzy Logic Controller in a Standard CMOS 2.4 microns Technology. IEEE International Symposium on Circuits and Systems (ISCAS'2000) (Geneva (Switzerland), du 28/05/2000 au 31/05/2000). In: Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS'2000), 2000, p. 377-380.
Cavalcanti, C. ; de Lima, J.A. ; Verleysen, Michel. A CMOS/SOI Continuous-Time Low-Pass gm-C Filter. XV SBMicro International Conference on Microelectronics & Packaging (Manaus (Brazil), du 18/09/2000 au 24/09/2000). In: Proceedings of the XV SBMicro International Conference on Microelectronics & Packaging, 2000.
Donckers, Nicolas ; Dualibe, Carlos ; Verleysen, Michel. A current-mode CMOS loser-take-all with minimum function for neural computations. IEEE International Symposium on Circuits and Systems (ISCAS'2000) (Geneva (Switzerland), du 28/05/2000 au 31/05/2000). In: Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS'2000), I E E E, 2000, p. 415-418.
De Lima, Jader ; Silva, Sidnei ; Cordeiro, Adriano ; Araujo, Alexandro ; Verleysen, Michel. A low-power silicon-on-insulator PWM discriminator for biomedical applications. IEEE International Symposium on Circuits and Systems (ISCAS'2000) (Geneva (Switzerland), du 28/05/2000 au 31/05/2000). In: Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS'2000), I E E E, 2000, p. 277-280.
Lee, John Aldo ; Lendasse, Amaury ; Donckers, Nicolas ; Verleysen, Michel. A robust nonlinear projection method. European Symposium on Artificial Neural Networks (ESANN'2000) (Bruges (Belgium), du 26/04/2000 au 28/04/2000). In: Proceedings of ESANN 2000, European Symposium on Artificial Neural Networks, D-Facto public., 2000. 2-930307-00-5, p. 13-20.
Doguet, Pascal ; Mevel, Herve ; Verleysen, Michel ; Troosters, Michel ; Trullemans, Charles. An Integrated Circuit for the Electrical Stimulation of the Optic Nerve. 5th annual conference of the International Functional Electrical Stimulation Society (IFESS'2000) (Aalborg (Denmark), du 18/06/2000 au 20/06/2000). In: Proceedings of the 5th annual conference of the International Functional Electrical Stimulation Society (IFESS'2000), 2000, p. 309-312.
Lendasse, Amaury ; Lee, John Aldo ; de Bodt, Eric ; Wertz, Vincent ; Verleysen, Michel. Réduction de la dimension d'un ensemble d'indicateurs techniques en vue de la prédiction de séries temporelles financières - Application à l'indice de marché BEL 20. ACSEG 2000 (Paris (France), du 14/12/2000 au 15/12/2000). In: ACSEG 2000 proceedings - Connectionist Approaches in Economics and Management Sciences, 2000, p. 155-175.
Lendasse, Amaury ; Lee, John Aldo ; Wertz, Vincent ; Verleysen, Michel. Time Series Forecasting using CCA and Kohonen Maps - Applications to Electricity Consumption. European Symposium on Artificial Neural Networks (ESANN'2000) (Bruges (Belgium), du 26/04/2000 au 28/04/2000). In: Proceedings of ESANN 2000, European Symposium on Artificial Neural Networks, D-Facto public., 2000. 2-930307-00-5, p. 329-334.
Dualibe, Carlos ; Verleysen, Michel ; Donckers, Nicolas. Design of Complementary Low-Power CMOS Architectures for Looser-take-all and Winner-take-all.. 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems (MicroNeuro'99) (Granada (Spain), du 07/04/1999 au 09/04/1999). In: Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems (MicroNeuro'99), 1999. 0-7695-0043-9, p. 360-365.
Lendasse, Amaury ; Verleysen, Michel ; Donckers, Nicolas ; Wertz, Vincent. Extraction of intrinsic dimension using CCA-Application to blind sources separation.. European Symposium on Artificial Neural Networks (ESANN'99) (Bruges (Belgium), du 21/04/1999 au 23/04/1999). In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN'99), D-Facto public., 1999, p. 339-344.
Lendasse, Amaury ; de Bodt, Eric ; Verleysen, Michel. Forecasting financial time series through intrinsic dimension estimation and non-linear data projection. International Workshop on Artificial and Natural Neural Networks (Alicante (Spain), du 02/06/1999 au 04/06/1999). In: Engineering Applications of Bio-Inspired Artificial Neural Networks (Lecture Notes in Computer Science; 1607), Springer, 1999. 3-540-66068-2, II596-II605. doi:10.1007/BFb0100527.
Vanlierde, Annick ; Trullemans, Charles ; Veraart, Claude ; Michaux, Géraldine ; Mortimer, J. T. ; Delbeke, Jean ; Wanet-Defalque, Marie-Chantal ; Verleysen, Michel ; Glineur, Olivier ; Parrini, Simone. Selective stimulation of the human optic nerve. 4th Conference of the International Functional Electrical Stimulation Society (Sendai (Japan), du 23/08/1999 au 27/08/1999). In: Proceedings of the 4th Conference of the International Functional Electrical Stimulation Society, 1999, p. 27-59.
de Bodt, Eric ; Cottrell, Marie ; Verleysen, Michel. Using the Kohonen Algorithm for Quick Initialization of Simple Competitive Learning Algorithm.. European Symposium on Artificial Neural Networks (ESANN'99) (Bruges (Belgium), du 21/04/1999 au 23/04/1999). In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN'99), 1999, p. 19-26.
Trullemans, Charles ; Amerijckx, Christophe ; Mevel, Herve ; Legat, Jean-Didier ; Verleysen, Michel ; Troosters, Michel ; Doguet, Pascal. An electronic device for nerve stimulation. Workshop on Industrial Microtechnology Applications (Madrid (Spain), du 15/10/1998 au 16/10/1998). In: , 1998.
Lendasse, Amaury ; de Bodt, Eric ; Verleysen, Michel. Estimation de la dimension intrinsèque d'une série temporelle et prédiction par une méthode de projection. Application au SBF 250 sur la période 1992-1997. Connectionist Approaches in Economics and Management Sciences (ACSEG 1998) (Louvain-la-Neuve (Belgium), 20/11/1998). In: Proceedings of ACSEG 1998, Connectionist Approaches in Economics and Management Sciences, 1998, p. D-37 - D-46.
Lendasse, Amaury ; de Bodt, Eric ; Cottrell, Marie ; Verleysen, Michel ; Grégoire, Philippe. Forecasting Time-Series by Kohonen Classification. European Symposium on Artificial Neural Networks (ESANN'98) (Bruges (Belgium), du 22/04/1998 au 24/04/1998). In: Proceedigns of ESANN'98, European Symposium on Artificial Neural Networks, D-Facto public., 1998. 2-9600049-8-1, p. 221-226.
Verleysen, Michel. The explanatory power of Artificial Neural Networks. Methodos: The explanatory power of models in the social sciences (Louvain-la-Neuve, du 14/11/1998 au 16/11/1998). In: Proceedings of Methodos: The explanatory power of models in the social sciences, 1998, p. 13 pages.
Parramon, J. ; Doguet, Pascal ; Marin, D. ; Verleysen, Michel ; Munoz, R. ; Leija, L. ; Valderrama Opazo, E.. Asic-based batteryless implantable telemetry microsystem for recording purposes. 19th IEEE-EMBS Engineering in Medecine and Biology Society Conference (Chicago (USA), du 30/10/1997 au 02/11/1997). In: Proceedings of the 19th IEEE-EMBS Engineering in Medecine and Biology Society Conference, 1997, p. 2225-2228.
Parramon, J. ; Doguet, P. ; Verleysen, Michel ; Valderrama, E.. Design of a RF powered mixed-mode implantable IC for a wireless EMG recording purpose. Iberchip'97 (Mexico, du 19/02/1997 au 21/02/1997). In: Proceedings of Iberchip'97, 1997, p. 460-468.
Parramon, J. ; Doguet, P. ; Marin, D. ; Verleysen, Michel ; Valderrama, E ; Arzuaga, J. ; Leija, L.. IC based RF powered implantable telemetry microsystem for EMG recording. XIV International Symposium on Biotelemetry (Marburg (Germany), du 06/04/1997 au 11/04/1997). In: Proceedings of the XIV International Symposium on Biotelemetry, 1997, p. 257-263.
Thissen, Philippe ; Verleysen, Michel ; Legat, Jean-Didier. A VLSI Associative Processor for Neural-Like Classification Algorithms. MCPS’96, 2nd Internationale Conference on Massively Parallel Computing Systems (Ischia (Italie), du 6/5/1996 au 9/5/1996). In: Proc. of MCPS'96, 1996, p. 130-136.
Verleysen, Michel ; Hlavackova, Katerina. Learning in RBF networks. International Conference on Neural Networks (ICNN'96) (Washington, DC (USA), du 03/06/1996 au 06/06/1996). In: Proceedings of the International Conference on Neural Networks (ICNN'96), 1996, p. 199-204.
Thissen, Philippe ; Verleysen, Michel ; Legat, Jean-Didier. A FPGA-based control unit for dedicated parallel processor. ProRISC/IEEE Workshop on Circuit, Systems and Signal Processing (Mierlo (Pays-Bas), du 23/3/1995 au 24/3/1995). In: Proc. of the ProRISC/IEEE Workshop on Circuit, Systems and Signal Processing, 1995, p. 303-308.
Thissen, P. ; Legat, Jean-Didier ; Verleysen, Michel ; Madrenas, J. ; Dominguez, J. A VLSI system for neural Bayesian and LVQ classification. International Workshop on Artificial Neural Networks (MALAGA-TORREMOLINOS(Spain), Jun 07-09, 1995). In: Lecture Notes in Computer Science, Vol. 930, p. 696-703 (1995). In: , Springer-verlag Berlin: Berlin 33, 1995.
Voz, JL. ; Legat, Jean-Didier ; Verleysen, Michel ; Thissen, P.. A practical view of suboptimal Bayesian classification with radial Gaussian kernels. International Workshop on Artificial Neural Networks (MALAGA-TORREMOLINOS(Spain), Jun 07-09, 1995). In: Lecture Notes in Computer Science, Vol. 930, p. 404-411 (1995). In: , Springer-verlag Berlin: Berlin 33, 1995.
Verleysen, Michel ; Voz, Jean-Luc ; Thissen, Philippe ; Legat, Jean-Didier. A statistical neural network for high-dimensional vector classification. International Conference on Neural Networks (Perth (Australia), du 29/11/1995 au 1/12/1995). In: Proc. of the International Conference on Neural Networks, 1995, p. 990-994.
Thissen, Philippe ; Verleysen, Michel ; Legat, Jean-Didier. An associative processor architecture for pattern recognition. ProRISC/IEEE Workshop on Circuit, Systems and Signal Processing (Mierlo (Pays-Bas), du 23/3/1995 au 24/3/1995). In: Proc. of the ProRISC/IEEE Workshop on Circuit, Systems and Signal Processing, 1995, p. 309-315.
Verleysen, Michel. Les principaux modèles de réseaux de neurones artificiels. Les réseaux de neurones en finance : conception et applications (Louvain-la-Neuve (Belgium), 29/05/1995). In: Proceedings de "Les réseaux de neurones en finance : conception et applications", D-Facto publications, 1995, p. 59-97.
VOZ, Jean-Luc ; Verleysen, Michel. Problématique générale du design des classifieurs et protocoles expérimentaux utilisés dans le cadre d'un projet ESPRIT relatif à l'application des réseaux de neurones à la classification. 3èmes rencontres de la société francophone de classification (Namur (Belgium), du 28/09/1995 au 29/09/1995). In: Proceedings des 3èmes rencontres de la société francophone de classification, 1995, p. 60-61.
Voz, Jean-Luc ; Verleysen, Michel ; Thissen, Philippe ; Legat, Jean-Didier. Suboptimal Bayesian classification by vector quantization with small clusters. European Symposium on Artificial Neural Networks (Brussels (Belgium), du 19/4/1995 au 21/4/1995). In: Proc. of the European Symposium on Artificial Neural Networks, 1995, p. 153-160.
Verleysen, Michel ; Hlavackova, Katerina. An optimized RBF network for approximation of functions. ESANN 2004, European Symposium on Artificial Neural Networks (Bruges (Belgium), du 20/04/1994 au 22/04/1994). In: Proceedings of ESANN 2004, European Symposium on Artificial Neural Networks, D-Facto public.: Brussels (Belgium), 1994. 2-9600049-1-4, p. 175-180.
Verleysen, Michel ; THISSEN, Philippe ; Madrenas, J.. Analog VLSI implementation of kernel-based classifiers. Neuromicro'94 (Turin (Italy), du 26/09/1994 au 28/09/1994). In: Belgian Neural Network Contact Group, 1994, p. 138-144.
Voz, Jean-Luc ; Thissen, Philippe ; Verleysen, Michel ; Legat, Jean-Didier. Application of suboptimal Bayesian classification to handwritten numerals recognition. IEE European workshop on handwriting analysis and recognition : an European perspective (Brussels (Belgium), du 12/07/1994 au 19/7/1994). In: Proc. of the IEE European workshop on handwriting analysis and recognition : an European perspective, 1994, p. 97-106.
Comon, Pierre ; VOZ, Jean-Luc ; Verleysen, Michel. Estimation of Performance Bounds in Supervised Classification. ESANN '94, European Symposium on Artificial Neural Networks (Brussels (Belgium), du 20/04/1994 au 22/04/1994). In: Proceedings of ESANN'94, European Symposium on Artificial Neural Networks, D-Facto public.: Brussels (Belgium), 1994. 2-9600049-1-4, p. 37-42.
Voz, Jean-Luc ; Verleysen, Michel ; Thissen, Philippe ; Legat, Jean-Didier. Handwritten digit recognition by suboptimal bayesian classifier. NeuroNîmes94 (Neural Networks and Their Applications) (Marseilles (France), du 15/12/1994 au 16/12/1994). In: Proc of NeuroNîmes94, 1994, p. 17-26.
Thissen, Philippe ; Verleysen, Michel ; Legat, Jean-Didier. Matching properties of CMOS SOI transistors. 4th int. conf. on microelectronics for neural networks and fuzzy systems (Torino (Italy), Sept 1994). In: Proc. of the 4th int. conf. on microelectronics for neural networks and fuzzy systems, 1994, p. 134-137.
Legat, Jean-Didier ; Thissen, Philippe ; Verleysen, Michel ; Voz, Jean-Luc. Parallel implementations of the RCE algorithm. Cost 229 final workshop on adaptive systems, intelligent approaches, massively computing and emerging techniques in signal processing and telecommunications (Vigo (Spain), du 19/10/1994 au 20/10/1994). In: Proc. of the Cost 229 final workshop on adaptive systems, intelligent approaches, massively computing and emerging techniques in signal processing and telecommunications, 1994, p. 261-264.
Simon, Benoit ; Macq, Benoît ; Verleysen, Michel. Laplacian Pyramid with Multilayer Perceptrons Interpolators. European Symposium on Artificial Neural Networks (ESANN'93) (Brussels (Belgium), du 07/04/1993 au 09/04/1993). In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN'93), D-Facto public.: Brussels (Belgium), 1993. 2-9600049-0-6, p. 137-144.
Verleysen, Michel ; Thissen, Philippe ; Legat, Jean-Didier. Learning vector classification: an improvement on LVQ algorithms to create classes of patterns. International Workshop on Artificial Neural Networks (IWANN 1993) (Sitges (Sapin), du 09/06/1993 au 11/06/1993). In: Proceedings of the International Workshop on Artificial Neural Networks (IWANN 1993) (Lecture Notes in Computer Science; 686), Springer-Verlag, 1993, p. 340-345.
Verleysen, Michel. NERVES and ELENA : the Basic Research on Artificial Neural Networks in Europe. European Informatic Congress - Computing Systems Architectures (Munich (Germany), du 18/10/1993 au 19/10/1993). In: Proceedings of the European Informatic Congress - Computing Systems Architectures, 1993, p. 157-167.
Blayo, F. ; Verleysen, Michel. Neural networks models. Neuro-Nîmes '93 (Nimes (France), du 25/11/1993 au 29/11/1993). In: Proceedings of Neuro-Nîmes'93, 1993, p. 110 pages.
Verleysen, Michel ; Legat, Jean-Didier ; Thissen, P.. Optimal decision surfaces in LVQ1 classification of patterns. European Symposium on Artificial Neural Networks ESANN '93. Proceedings (Brussels, Belgium, 7-9 April 1993). In: European Symposium on Artificial Neural Networks ESANN '93. Proceedings, D facto, 1993. 2-9600049-0-6, p. 209-214.
Simon, Benoit ; Macq, Benoît ; Verleysen, Michel. Pyramids for image compression with neural networks interpolators. 14th Symposium for Information Theory in the Benelux (Veldhoven (the Netherlands), du 17/05/1993 au 18/05/1993). In: Proceedings of the 14th Symposium for Information Theory in the Benelux, 1993, p. 168-174.
Verleysen, Michel. Realizations of artificial neural networks : VLSI, machines and neural computers. Neuro-Nîmes '93 (Nimes (France), du 25/11/1993 au 29/11/1993). In: Proceedings of Neuro-Nîmes'93, 1993, p. 120 pages.
Hanssens, Emmanuel ; Verleysen, Michel ; Legat, Jean-Didier. A dedicated neural network for visual motion detection. Neuro-Nîmes'92 Neural Networks & their applications (Nîmes (France), du 2/11/1996 au 6/11/1992). In: Proc. of Neuro-Nîmes'92, 1992, p. 221-229.
Legat, Jean-Didier ; Cornil, J.P. ; Macq, D. ; Verleysen, Michel. A real-time VLSI-based architecture for multi-motion estimation. Proceedings. 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition (The Hague, Netherlands, 30 August-3 September 1992). In: Proceedings. 11th IAPR International Conference on Pattern Recognition.Vol. IV. Conference D: Architectures for Vision and Pattern Recognition, IEEE comput. soc. press, 1992. 0-8186-2925-8, p. 147-150. doi:10.1109/ICPR.1992.202152.
Verleysen, Michel ; Blayo, François ; Legat, Jean-Didier. LVQ-like procedure for the initialization of the RCE model. Congrès Satellite du Congrès Européen de Mathématiques: Aspects Théoriques des Réseaux de Neurones (Paris (France), du 02/07/1992 au 03/07/1992).
Legat, Jean-Didier ; Cornil, Jean-Philippe ; Verleysen, Michel. Parallel VLSI-based Architecture for Multi-motion Estimation. Int. SPIE Conf. on Applications of Artificial Intelligence X : Machine Vision and Robotics (Orlando (USA), du 22/4/1992 au 24/4/1992). In: Proc. of the Int. SPIE Conf. on Applications of Artificial Intelligence X : Machine Vision and Robotics, 1992, p. 165-171.
Verleysen, Michel. Realizations of artificial neural networks : VLSI, machines and neural computers. Neuro-Nîmes '92 (Nimes (France), du 02/11/1992 au 06/11/1993). In: Proceedings of Neuro-Nîmes'92, 1992, p. 114 pages.
Blayo, François ; Verleysen, Michel. Setting Initial Conditions for the RCE Model. 1st IFIP Working Group 10.6 Workshop (Grenoble (France), du 02/03/1992 au 03/03/1992). In: Proceedings of the 1st IFIP Working Group 10.6 Workshop, 1992, p. 31-35.
Verleysen, Michel ; Legat, Jean-Didier. Une procédure d'initialisation de type LVQ pour le réseau RCE. Congrès européen de mathématiques (Paris (France), du 2/7/1992 au 3/7/1992). In: Proc. du Congrès européen de mathématiques, 1992, p. 35-45.
Verleysen, Michel ; Jespers, Paul. Analog VLSI synapse matrix with enhanced stochastic computations. International Workshop on Artificial Neural Networks (Granada (Spain), du 17/09/1991 au 20/09/1991). In: Proceedings of the International Workshop on Artificial Neural networks (Lecture Notes in Computer Science; 540), Springer-Verlag: Berlin Heidelberg, 1991. 3-540-54537-9, 315-321. doi:10.1007/BFb0035908. doi:10.1007/BFb0035908.
Verleysen, Michel ; Jespers, Paul. Stochastic computations in VLSI analog neural networks. International Conference on Artificial Neural Networks (Helsinki (Finland), du 24/06/1991 au 28/06/1991). In: Proceedings of the International Conference on Artificial Neural Networks (Artificial Neural networks), Elsevier Science Publishers B.V.: North-Holland, 1991, p. 1691-1696.
Verleysen, Michel ; Jespers, Paul. Stochastic computations in VLSI analog neural networks. Neural Networks in Natural and Artificial Vision (Chamrousse (France), du 29/01/1991 au 30/01/1991). In: Proceedings of Neural Networks in Natural and Artificial Vision, 1991, p. 53-56.
Legat, Jean-Didier ; Cornil, Jean-Philippe ; Verleysen, Michel. Systolic array architecture for Early vision processing. ESSCIRC'91, European Solid-State Circuits Conference (Milano (Italy), Sept. 1991). In: Proc. of ESSCIRC'91, 1991, p. 93-96.
Verleysen, Michel ; Jespers, Paul. Precision of sum-of-products in analog neural networks. 1st International Workshop on Microelectronics for neural Networks (Dortmund (Germany), du 25/06/1990 au 26/06/1990). In: Proceedings of the 1st International Workshop on Microelectronics for neural Networks, 1990, p. 47-61.
Verleysen, Michel ; Martin, D. ; Jespers, Paul. A VLSI neural network with capacitive synapses. European Conference on Circuit Theory and Design (Brighton (UK), du 05/09/1989 au 08/09/1989). In: Proceedings of the European Conference on Circuit Theory and Design, 1989, p. 73-77.
Verleysen, Michel ; Jespers, Paul ; Martin, D.. A capacitive neural network for associative memory. Proceedings of the Tenth Symposium on Information Theory in the Benelux (Houthalen, Belgium, 25-26 May 1989). In: Proceedings of the Tenth Symposium on Information Theory in the Benelux, Werkgemeenschap voor inf.- & communicatietheorie, 1989, p. 73-79.
Verleysen, Michel ; Sirletti, Bruno ; Jespers, Paul. A new VLSI architecture for neural associative memories. nEuro 88 (Paris (France), du 06/06/1988 au 09/06/1998). In: Neural Networks from Models to Applications, L.Personnaz & G.Dreyfus ed.: Paris (France), 1989, p. 692-700.
Verleysen, Michel ; Jespers, Paul. An analog VLSI architecture for large neural networks. NATO Advanced Research Workshop on Neuro Computing: Algorithms, Architectures and Applications (Les Arcs (France), du 27/02/1989 au 03/03/1989). In: Neurocomputing (NATO ASI Series; vol.F68), Springer-Verlag: Berlin-Heidelberg, 1989, p. 141-145.
Verleysen, Michel ; Jespers, Paul. Implémentations VLSI analogiques de réseaux de neurones. Journées d'électronique (Lausanne (Suisse), du 10/10/1989 au 12/10/1989). In: Journées d'électronique, Presses Polytechniques Romandes, 1989, p. 279-289.
Verleysen, Michel ; Sirletti, B. ; Jespers, Paul. A large VLSI Hopfield network for pattern recognition problems. 1988 International Neural Network Society Annual Meeting (Boston (USA), du 06/09/1988 au 10/09/1988). In: Proceedings of the 1988 International Neural Network Society Annual Meeting, 1988, p. 414.
Verleysen, Michel ; Sirletti, B. ; Jespers, Paul. A large VLSI fully interconnected neural network. 1988 Symposium on VLSI circuits (Tokyo (Japan), du 22/08/1988 au 24/08/1988).
Verleysen, Michel ; Sirletti, Bruno ; Jespers, Paul. A new CMOS architecture for neural networks. Workshop on VLSI for Artificial Intelligence (Oxford (U.K.), du 20/07/1988 au 22/07/1988). In: VLSI for Artificial Intelligence, Kluwer Academic Publishers: Boston (USA), 1988, p. 209-217.
Verleysen, Michel ; Sirletti, B. ; Jespers, Paul. A new VLSI architecture for large Hopfield's neural networks. 14th European Solid-State Circuits Conference (ESSCIRC 1988) (Manchester (UK), du 21/09/1988 au 23/09/1988). In: Proceedings of the 14th European Solid-State Circuits Conference (ESSCIRC 1988), 1988, p. 343-346.
Sirletti, B. ; Verleysen, Michel ; Jespers, Paul. An algorithm for pattern recognition with VLSI neural networks. 1988 International Neural Network Society Annual Meeting (Boston (USA), du 06/09/1988 au 10/09/1988). In: , 1988.
Lendasse, Amauri ; François, Damien ; Wertz, Vincent ; Verleysen, Michel. Vector quantization: a weighted version for time-series forecasting. 5th International Conference on Computational Sciences (ICCS 2005) (Atlanta (USA), du 22/05/2005 au 25/05/2005).
Verleysen, Michel. Neural networks and content-addressable memories for vision: from theory to VLSI, prom. : Jespers, Paul, 1992.
Feraud, Baptiste ; Munaut, Carine ; Martin, Manon ; Verleysen, Michel ; Govaerts, Bernadette. Combining strong sparsity and competitive predictive power with the L-sOPLS approach for biomarker discovery in metabolomics (ISBA Discussion Paper; 2017/20), 2017. 21 p.
Feraud, Baptiste ; Govaerts, Bernadette ; Verleysen, Michel ; de Tullio, Pascal. Statistical treatment of 2D-NMR COSY spectra: data preparation, clustering-based repeatability evaluation and comparison with 1H-NMR (ISBA Discussion Paper; 2014/33), 2014. 20 p.
Rousseau, Réjane ; Feraud, Baptiste ; Govaerts, Bernadette ; Verleysen, Michel. Combination of Independent Component Analysis and statistical modelling for the identification of metabonomic biomarkers in 1H-NMR spectroscopy (second version) (ISBA Discussion Paper; 2013/06), 2013. 32 p.
Rousseau, Réjane ; Govaerts, Bernadette ; Verleysen, Michel. Combination of Independent Component Analysis and statistical modelling for the identification of metabonomic biomarkers in 1H-NMR spectroscopy (STAT Discussion Paper; 0941), 2008. 28 p.
Rousseau, Réjane ; Govaerts, Bernadette ; Verleysen, Michel ; Boulanger, Bruno. Comparison of some chemometric tools for metabonomics biomarker identification (STAT Discussion Paper; 0711), 2007. 26 p.
Dablemont, Simon ; Van Bellegem, Sébastien ; Verleysen, Michel. Modelling and Forecasting financial time series of «tick data» by functional analysis and neural networks, 2007. 18 p.