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2001, 2000, 1999,
1998, 1997, 1996,
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1990, 1989, 1988)
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| Theses | ||
| 2 |  |
Machine learning of high-dimensional
data: local artificial neural networks and the curse of dimensionality M. Verleysen Agregation in higher education thesis, UCL (22 February 2001). |
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The explanatory power
of artificial neural networks M. Verleysen Agregation in higher education thesis, ancillary thesis, UCL (22 February 2001). |
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Publish or perish M. Verleysen Agregation in higher education thesis, ancillary thesis, UCL (22 February 2001). |
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VLSI implemantations
of artificial neural networks M. Verleysen Agregation in higher education thesis, ancillary thesis, UCL (22 February 2001). |
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| 1 | Neural Networks and Content-Addressable
Memories for Vision : from Theory to VLSI M. Verleysen Ph.D. thesis, UCL (24 February 1992). |
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| [top of page] | ||
| Books | ||
| 3 |  |
Nonlinear dimensionality
reduction John A. Lee, Michel Verleysen Springer, Information Science and Statistics series, 2007, 310 pp. |
| 2 | |
Design of Analog Fuzzy
Logic Controllers in CMOS Technologies: Implementation, Test and Applications C. Dualibe, P. Jespers, M. Verleysen Kluwer academic publishers, Boston (USA), 2003, 196 pp. |
| 1 |
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Les Réseaux de
Neurones Artificiels F. Blayo, M. Verleysen Presses Universitaires de France, Que sais-je?, vol. 3049, Paris, 1996, 126 pp. |
| Book chapters | ||
| 14 | |
Graph-Based Dimensionality Reduction John A. Lee, Michel Verleysen Image Processing and Analysis with Graphs: Theory and Practice, Olivier Lézoray, Leo Grady (Eds.), CRC Press, pp. 351-382, 2012 ISBN: 978-1-4398-5507-2 |
| 13 | |
Choosing the Metric: A Simple Model Approach |
| 12 | |
Weighted SVMs and Feature
Relevance Assessment in Supervised Heart Beat Classification Gael de Lannoy, Damien François, Jean Delbeke, Michel Verleysen Biomedical Engineering Systems and Technologies, Ana Fred, Joaquim Filipe, Hugo Gamboa (Eds.), Springer, Communications in Computer and Information Science, Vol. 127, pp. 212-223, 2011 doi: 10.1007/978-3-642-18472-7, ISBN 978-3-642-18471-0, ISSN: 1865-0929 |
| 11 | |
A Supervised Wavelet
Transform Algorithm for R Spike Detection in Noisy ECGs Gaël de Lannoy, Arnaud de Decker, Michel Verleysen Biomedical Engineering Systems and Technologies, Ana Fred, Joaquim Filipe, Hugo Gamboa (Eds.), Springer, Communications in Computer and Information Science, Vol. 25, pp. 256-264, 2009 doi: 10.1007/978-3-540-92219-3, ISBN 978-3-540-92218-6, ISSN: 1865-0929 |
| 10 | |
Advances in Feature Selection with Mutual Information |
| 9 | |
An empirical taxonomy of start-up firms growth trajectories |
| 8 |
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Design and application
of analog fuzzy logic controllers C. Dualibe, M. Verleysen Smart Adaptive Systems on Silicon, M. Valle ed., Kluwer academic publishers, 2004, pp. 157-174. |
| 7 | |
Approximation by Radial-Basis
Function networks - Application to option pricing A. Lendasse, J. Lee, E. de Bodt, V. Wertz, M. Verleysen Connectionist Approaches in Economics and Management Sciences, C. Lesage, M. Cottrell eds., Kluwer academic publishers, 2003, pp. 203-214. |
| 6 | |
Learning high-dimensional
data M. Verleysen Limitations and future trends in neural computation, S. Ablameyko, L. Goras, M. Gori, V. Piuri eds, IOS Press, Amsterdam (The Netherlands), 2003, pp. 141-162. |
| 5 | |
The explanatory power
of Artificial Neural Networks M. Verleysen The explanatory power of models, R. Franck ed., Methodos Series vol.1, Kluwer academic publishers, Boston (USA), 2002, pp. 127-139. |
| 4 | Feedforward unsupervised
models M. Verleysen Handbook on Neural Computation, E. Fiesler, R. Beale eds., IOP and Oxford University Press, October 1996, pp. C2.1:1 - C2.1:15. |
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| 3 |
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Analog implementation
of an associative memory : learning algorithm and VLSI constraints M. Verleysen, J.D. Legat, P. Jespers Associative neural memories : theory and implementations, M.Hassoun ed., Oxford University Press, Oxford (UK), 1993, pp. 265-275. |
| 2 |
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Precision of computations
in analog neural networks M. Verleysen, P. Jespers VLSI design of neural networks, U. Ramacher & U. Rückert eds., Kluwer Academic Publishers, Boston (UK), 1991, pp.65-82. |
| 1 |
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VLSI chips for neural
networks M. Verleysen, P. Jespers Progress in Neural Networks, Omid M. Omidvar ed., Ablex Publishing Corporation, Norwood, NJ (USA), 1990, pp.175-196. |
| [top of page] | ||
| Articles in international journals | ||
| Classification in the presence of label noise: A survey Benoît Frénay, Michel Verleysen IEEE Transactions on Neural Networks and Learning Systems, in press |
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Estimating mutual information for feature selection in the presence of label noise |
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Pointwise probability reinforcements for robust statistical inference Original Research Article Benoît Frénay, Michel Verleysen Neural Networks, Vol. 50, February 2014, pp. 124-141 doi: 10.1016/j.neunet.2013.11.012 |
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Is mutual information adequate for feature selection in regression? |
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A graph Laplacian based approach to semi-supervised feature selection for regression problems Gauthier Doquire, Michel Verleysen Neurocomputing, Vol. 121, 9 December 2013, pp. 5-13 doi: 10.1016/j.neucom.2012.10.028 |
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Mutual information-based feature selection for multilabel classification Gauthier Doquire, Michel Verleysen Neurocomputing, Vol. 122, 25 December 2013, pp. 148-155 doi: 10.1016/j.neucom.2012.06.035 |
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Distance estimation in numerical data sets with missing values Information Sciences, Vol. 240, 10 August 2013, pp. 115-128 Emil Eirola, Gauthier Doquire, Michel Verleysen, Amaury Lendasse doi: 10.1016/j.ins.2013.03.043 |
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Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification Benoît Frénay, Gauthier Doquire, Michel Verleysen Neurocomputing, Vol. 112, 18 July 2013, pp. 64-78 doi: 10.1016/j.neucom.2012.12.051 |
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Type 1 and 2 mixtures of Kullback–Leibler divergences as cost functions in dimensionality reduction based on similarity preservation John A. Lee, Emilie Renard, Guillaume Bernard, Pierre Dupont, Michel Verleysen Neurocomputing, Vol. 112, 18 July 2013, pp. 92-108 doi: 10.1016/j.neucom.2012.12.036 |
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Unique in the crowd: The privacy bounds of human mobility Yves-Alexandre de Montjoie, César A. Hidalgo, Michel Verleysen, Vincent D. Blondel Scientific reports Vol. 3, 1376, pp. 1-5 doi: 10.1038/srep01376 |
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| 71 | |
Feature selection for nonlinear models with extreme learning machines |
| 70 | |
Feature selection with missing data using mutual information estimators Gauthier Doquire, Michel Verleysen Neurocomputing, Elsevier, Vol. 90, No. 1, August 2012, pp. 3-11 doi: 10.1016/j.neucom.2012.02.031 |
| 69 | |
Parameter-insensitive kernel in extreme learning for non-linear support vector regression Benoît Frénay, Michel Verleysen Neurocomputing, Elsevier, Vol. 74, No. 16, September 2011, pp. 2526–2531 doi: 10.1016/j.neucom.2010.11.037 |
| 68 | |
Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification Gaël de Lanoy, Damien François, Jean Delbeke, Michel Verleysen IEEE Transactions on Biomedical Engineering, Vol. 59, No.1, January 2012, pp. 241-247 doi: 10.1109/TBME.2011.2171037 |
| 67 | |
Feature selection for
supervised inter-patient heart beat classification Gauthier Doquire, Gaël de Lannoy, Damien François, Michel Verleysen Computational Intelligence and Neuroscience, Hindawi Pub. Corp., Vol. 2011, No. 643816, 2011, pp. 1-9 doi: 10.1155/2011/643816 |
| 66 | |
Mode estimation in high-dimensional
spaces with flat-top kernels: Application to image denoising Arnaud De Decker, Damien Francois, Michel Verleysen, John A. Lee Neurocomputing, Elsevier, Vol. 74, No. 9, April 2011, pp. 1402-1410 doi: 10.1016/j.neucom.2010.12.013 |
| 65 | |
Scale-independent quality criteria for dimensionality reduction |
| 64 | |
Clustering patterns of
urban built-up areas with curves of fractal scaling behaviour Isabelle Thomas, Pierre Frankhauser, Benoit Frenay, Michel Verleysen Environment and Planning B: Planning and Design, Vol. 37, No. 5, September 2010, p. 942-954 doi: 10.1068/b36039, ISSN: 0265-8135 |
| 63 | |
A Principled Approach to Image Denoising with Similarity Kernels
Involving Patches. |
| 62 | |
Residual variance estimation in machine learning |
| 61 | |
Information-theoretic feature selection for functional data classification |
| 60 | |
Quality assessment of
dimensionality reduction: Rank-based criteria John A. Lee, Michel Verleysen Neurocomputing, Elsevier, Vol. 72, No. 7-9, March 2009, pp. 1431-1443 doi: 10.1016/j.neucom.2008.12.017, ISSN: 0925-2312 |
| 59 | |
Nonlinear data projection
on non-Euclidean manifolds with controlled trade-off between trustworthiness
and continuity Victor Onclinx, Vincent Wertz, Michel Verleysen Neurocomputing, Elsevier, Vol. 72, No. 7-9, March 2009, pp. 1444-1454 doi: 10.1016/j.neucom.2008.12.018, ISSN: 0925-2312 |
| 58 | |
K nearest neighbours
with mutual information for simultaneous classification and missing
data imputation Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen Neurocomputing, Elsevier, Vol. 72, No. 7-9, March 2009, pp. 1483-1493 doi: 10.1016/j.neucom.2008.11.026, ISSN: 0925-2312 |
| 57 | |
Blind Source Separation
based on Endpoint Estimation with Application to the MLSP 2006 Data
Competition John Aldo Lee, Frédéric Vrins, Michel Verleysen Neurocomputing, Elsevier, Vol. 72, No. 1-3, December 2008, pp. 47-56 doi: 10.1016/j.neucom.2007.12.047, ISSN: 0925-2312 |
| 56 | |
On the risk of using
Renyi's entropy for Blind Source Separation Dinh-Tuan Pham, Frédéric Vrins, Michel Verleysen IEEE Transactions on Signal Processing, Vol. 56, No. 10, October 2008, pp. 4611-4620 doi: 10.1109/TSP.2008.928109, ISSN: 1053-587X |
| 55 | |
A Comparative Study of
Various Probability Density Estimation Methods for Data Analysis Alex Assenza, Maurizio Valle, Michel Verleysen International Journal of Computational Intelligence Systems, Atlantis Press, Vol. 1, No. 2, June 2008, pp. 188-201 ISSN: 1875-6883 |
| 54 | |
Mixtures of robust probabilistic
principal component analyzers Cédric Archambeau, Nicolas Delannay, Michel Verleysen Neurocomputing, Elsevier, Vol. 71, Nos. 7-9, March 2008, pp. 1274-1282 doi: 10.1016/j.neucom.2007.11.029, ISSN: 0925-2312 |
| 53 | |
Collaborative filtering
with interlaced generalized linear models Nicolas Delannay, Michel Verleysen Neurocomputing, Elsevier, Vol. 71, Nos. 7-9, March 2008, pp. 1300-1310 doi: 10.1016/j.neucom.2007.12.021, ISSN: 0925-2312 |
| 52 | |
A data-driven functional
projection approach for the selection of feature ranges in spectra
with ICA or cluster analysis Catherine Krier, Fabrice Rossi, Damien François and Michel Verleysen Chemometrics and Intelligent Laboratory Systems, Elsevier, Vol. 91, No. 1 (15 March 2008), pp. 43-53 10.1016/j.chemolab.2007.09.004, ISSN: 0169-7439 |
| 51 | |
Comparison of some chemometric
tools for metabonomics biomarker identification Réjane Rousseau, Bernadette Govaerts, Michel Verleysen and Bruno Boulanger Chemometrics and Intelligent Laboratory Systems, Elsevier, Vol. 91, No. 1 (15 March 2008), pp. 54-66 doi: 10.1016/j.chemolab.2007.06.008, ISSN: 0169-7439 |
| 50 | |
Multivariate Statistics
Process Control for Dimensionality Reduction in Structural Assessment Luis Eduardo Mujica, Josep Vehi, Magda Liliana Ruiz, Michel Verleysen, Wieslaw Staszewski, Keith Worden Mechanical Systems and Signal Processing, Elsevier, Vol. 2, No. 1, January 2008, pp. 155-171 doi: 10.1016/j.ymssp.2007.05.001, ISSN: 0888-3270 |
| 49 | |
Modelling the quality
of enantiomeric separations using Mutual Information as an alternative
variable selection technique Sónia Caetano, Catherine Krier, Michel Verleysen and Yvan Vander Heyden Analytica Chimica Acta, Elsevier, Vol. 602, No. 1 (17 October 2007), pp. 37-46 doi: 10.1016/j.aca.2007.08.048, ISSN: 0003-2670 |
| 48 | |
DD-HDS: a method for
visualization and exploration of high-dimensional data Sylvain Lespinats, Michel Verleysen, Alain Giron, Bernard Fertil IEEE Transactions on Neural Networks, Vol. 18, No. 5 (September 2007), pp. 1265-1279 doi: 10.1109/TNN.2007.891682, ISSN: 1045-9227 |
| 47 | |
Les trajectoires de croissance des jeunes entreprises |
| 46 | |
Forecasting the CATS benchmark with the Double Vector Quantization
method |
| 45 | |
Time series prediction competition: The CATS benchmark |
| 44 | |
The concentration of
fractional distances Damien François, Vincent Wertz, Michel Verleysen IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 7 (July 2007), pp. 873-886 doi: 10.1109/TKDE.2007.1037, ISSN: 1041-4347 |
| 43 | |
A Minimum-Range Approach to Blind Extraction of Bounded Sources |
| 42 | |
Fast Selection of Spectral
Variables with B-Spline Compression Fabrice Rossi, Damien Francois, Vincent Wertz, Marc Meurens, Michel Verleysen Chemometrics and Intelligent Laboratory Systems, Elsevier, Vol. 86, No. 2 (April 2007), pp. 208-218 doi: 10.1016/j.chemolab.2006.06.007, ISSN: 0169-7439 |
| 41 | |
High-dimensional delay selection for regression models with mutual
information and distance-to-diagonal criteria |
| 40 | |
Resampling methods for
parameter-free and robust feature selection with mutual information Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen Neurocomputing, Elsevier, Vol. 70, Nos. 7-9 (March 2007), pp. 1265-1275 doi: 10.1016/j.neucom.2006.11.019, ISSN: 0925-2312 |
| 39 | |
Mixing and non-mixing
local minima of the entropy contrast for blind source separation Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen IEEE Transactions on Information Theory, Vol. 53, No. 3 (March 2007), pp. 1030-1042 doi: 10.1109/TIT.2006.890716, ISSN: 0018-9448 |
| 38 | |
Robust Bayesian Clustering Cédric Archambeau, Michel Verleysen Neural Networks, Elsevier, Vol. 20, No 1 (January 2007), pp. 129-138 doi: 10.1016/j.neunet.2006.06.009, ISSN: 0893-6080 |
| 37 | |
Unfolding preprocessing for meaningful time series clustering |
| 36 | |
Advances in Self-Organizing
Maps - Introduction M. Cottrell, M. Verleysen Neural Networks, Elsevier, Vol. 19, Nos 6-7 (July-August 2006), pp. 721-722 doi: 10.1016/j.neunet.2006.05.011 , ISSN: 0893-6080 |
| 35 | |
Mutual information for the selection of relevant variables in spectrometric
nonlinear modelling |
| 34 | |
Nonlinear dimensionality
reduction of data manifolds with essential loops J.A. Lee, M. Verleysen Neurocomputing, special issue on Geometrical Methods in Neural Networks and Learning, Elsevier, Vol. 67 (August 2005), pp. 29-53. |
| 33 | |
Time series forecasting: Obtaining long term trends with self-organizing
maps |
| 32 | |
Vector quantization:
a weighted version for time series forecasting A. Lendasse, D. François, V. Wertz, M. Verleysen Future Generation Computer Systems, special issue on "Soft-computing and advanced techniques in new algorithmic approaches to existing application areas", Elsevier, Vol. 21, No. 7 (July 2005), pp. 1056-1067. |
| 31 | |
Representation of functional
data in neural networks F. Rossi, N. Delannay, B. Conan-Guez, M. Verleysen Neurocomputing, Elsevier, Vol. 64 (March 2005), pp. 183-210. |
| 30 | |
Fast bootstrap methodology
for model selection A. Lendasse, G. Simon, V. Wertz, M. Verleysen Neurocomputing, Elsevier, Vol. 64 (March 2005), pp. 161-181. |
| 29 | |
On the Entropy Minimization
of a Linear Mixture of Variables for Source Separation F. Vrins, M. Verleysen Signal Processing, Special Issue on Information Theoretic Signal Processing, D. Erdogmus and J. Principe eds., Elsevier, Vol. 85, No. 5 (May 2005), pp. 1029-1044. |
| 28 | |
Information theoretic versus cumulant-based contrasts for multimodal
source separation |
| 27 | |
Spectrophotometric variable
selection by mutual information N. Benoudjit, D. François, M. Meurens, M. Verleysen Chemometrics and Intelligent Laboratory Systems, Elsevier, Vol. 74, No. 2 (December 2004), pp. 243-251. |
| 26 | |
Double quantization of
the regressor space for long-term time series prediction: Method and
proof of stability G. Simon, A. Lendasse, M. Cottrell, J.-C. Fort, M. Verleysen Neural Networks, Elsevier, Vol. 17, Nos. 8-9 (October-November 2004), pp. 1169-1181. |
| 25 | |
Self-organizing feature
maps for the classification of investment funds A. Lendasse, P. Cardon, V. Wertz, E. de Bodt, M. Verleysen European Journal of Economic and Social Systems, special issue on Neural Networks, P. Gaubert ed., Hermes-Lavoisier, Vol. 17, No. 1-2 (2004), pp. 183-195. |
| 24 | |
Prediction of visual
perceptions with artificial neural networks in a visual prosthesis
for the blind C. Archambeau, J. Delbeke, C. Veraart, M. Verleysen Artificial Intelligence in Medicine, Elsevier, Vol. 32, No. 3 (November 2004), pp. 183-194. |
| 23 | |
Chemometric calibration
of infrared spectrometers: Selection and validation of variables by
non-linear models N. Benoudjit, E. Cools, M. Meurens, M. Verleysen Chemometrics and Intelligent Laboratory Systems, Elsevier, Vol. 70 (2004), No. 1, pp. 47-53. |
| 22 | |
Designing Mixed-Signal
Programmable Fuzzy Logic Controllers as Embedded Subsystems in Standard
CMOS Technologies C. Dualibe, P. Jespers, M. Verleysen JICS - Journal of Integrated Circuits and Systems, Vol. 1, No. 1 (March 2004), pp. 14-22. |
| 21 | |
Nonlinear projection with curvilinear distances: Isomap versus
curvilinear distance analysis |
| 20 | |
On the use of Self-Organizing
Maps to accelerate vector quantization E. de Bodt, M. Cottrell, P. Letremy, M. Verleysen Neurocomputing, Elsevier, Vol. 56 (January 2004), pp. 187-203. |
| 19 | |
Image compression using self-organizing maps |
| 18 | |
On the kernel widths
in Radial-Basis Function Networks N. Benoudjit, M. Verleysen Neural Processing Letters, Kluwer academic pub., Vol. 18, No. 2 (October 2003), pp. 139-154. |
| 17 | |
A CMOS/SOI single-input
PWM discriminator for low-voltage body-implanted applications J.A. De Lima, S.F. Silva, A.S. Cordeiro, M. Verleysen VLSI design, Taylor & Francis pub., Vol. 15, No. 1 (August 2002), pp. 469-476. |
| 16 | |
Statistical tools to
assess the reliability of self-organizing maps E. de Bodt, M. Cottrell, M. Verleysen Neural Networks, Elsevier, Vol. 15, Nos. 8-9 (October-November 2002), pp. 967-978. |
| 15 | |
Self-organizing maps
with recursive neighborhood adaptation J. Lee, M. Verleysen Neural Networks, Elsevier, Vol. 15, Nos. 8-9 (October-November 2002), pp. 993-1003. |
| 14 | |
Forecasting electricity
consumption using nonlinear projection and self-organizing maps A. Lendasse, J. Lee, V. Wertz, M. Verleysen Neurocomputing, Elsevier, Vol. 48, Nos. 1-4 (October 2002), pp. 299-311. |
| 13 | |
Special issue on fundamental
and information processing aspects of neurocomputing M. Verleysen, J. Vandewalle Neurocomputing, Elsevier, Vol. 48, Nos. 1-4 (October 2002), pp. 1-2. |
| 12 | |
Dimension reduction of
technical indicators for the prediction of financial time series -
Application to the Bel 20 market index A. Lendasse, J. Lee, E. De Bodt, V. Wertz, M. Verleysen European Journal of Economic and Social Systems, EDP Sciences, Vol. 15, No. 2 (2001), pp. 31-48. |
| 11 | |
Non-linear financial
time series forecasting - Application to the Bel 20 stock market index A. Lendasse, E. De Bodt, V. Wertz, M. Verleysen European Journal of Economic and Social Systems, EDP Sciences, Vol. 14, No. 1 (February 2000), pp. 81-92. |
| 10 | |
Two-quadrant CMOS analoge
divider C. Dualibe, M. Verleysen, P. Jespers Electronics Letters, IEE, Vol. 34, No. 12 (June 1998), pp. 1164-1165. |
| 9 | |
Image compression by
self-organized Kohonen map C. Amerijckx, M. Verleysen, P. Thissen, J.D. Legat IEEE Transactions on Neural Networks, Vol. 9, No. 3 (May 1998), pp. 503-507. |
| 8 | |
Synthesis of neural networks
using splines for approximation of functions K. Hlavackova, M. Verleysen Neurocomputing, Elsevier, Vol. 17, Nos. 3&4 (November 1997), pp.159-167. |
| 7 | |
A CMOS analog circuit
for gaussian functions J. J. Madrenas, M. Verleysen, P. Thissen, J.L. Voz IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 43, No. 1 (January 1996), pp. 70-74. |
| 6 | |
An analog processor architecture
for neural network classifier M. Verleysen, P. Thissen, J.L. Voz, J. Madrenas IEEE Micro, special issue on Analog VLSI and neural networks, Vol. 14, No. 3 (June 1994), pp. 16-28. |
| 5 | |
Projet Esprit-Elena:
Réalisations VLSI de réseaux de neurones M. Verleysen, J. Cabestany Revue VALGO, bulletin de l'ACTH, No. 94-1 (January 1994). |
| 4 | |
Analog implementation
of a Kohonen map with on-chip learning D. Macq, M. Verleysen, P. Jespers, J.D. Legat IEEE Transactions on Neural Networks, Vol. 4, No. 3 (May 1993), pp.456-461. |
| 3 | |
An analog implementation
of Hopfield's neural network M. Verleysen, P. Jespers IEEE Micro, Vol. 9, No. 6 (December 1989), pp.46-55. |
| 2 | |
Neural networks for high-storage
content-addressable memories: VLSI circuit and learning algorithm M. Verleysen, B. Sirletti, A. Vandemeulebroecke, P. Jespers IEEE Journal of Solid-State Circuits, Vol. 24, No. 3 (June 1989), pp.562-569. |
| 1 | |
A high-storage content-addressable
memory and its learning algorithm M. Verleysen, B. Sirletti, A. Vandemeulebroecke, P. Jespers IEEE Transactions on Circuits and Systems, Vol. 36, No. 5 (May 1989), pp.762-766. |
| [top of page] | ||
| Publications in conference proceedings edited as collective books or journals | ||
|
Nonlinear dimensionality reduction for visualization M. Verleysen, J. A. Lee ICONIP 2013, 20th International Conference on Neural Information Processing, 3-7 November 2013, Daegu (South Korea) Invited talk. Lecture Notes in Computer Science, 2013, Volume 8226, pp, 617-622, doi: 10.1007/978-3-642-42054-2_77, ISBN 978-364242053-5, ISSN 0302-9743 |
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Segmentation with Incremental Classifiers Guillaume Bernard, Michel Verleysen, John A. Lee ICIAP 2013, International Conference on Image Analysis and Processing, 9-13 September 2013, Naples (Italy) Lecture Notes in Computer Science, 2013, Volume 8157, pp, 81-90, doi: 10.1007/978-3-642-41184-7_9, ISBN 978-364241180-9, ISSN ??? |
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| 51 | |
Feature selection with mutual information for uncertain data. |
| 50 | |
Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs |
| 49 | |
Aircraft
Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance
Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille WSOM 2011, 8th Workshop on Self-Organizing Maps, 13-15 June 2011, Espoo (Finland) Advances in Self-Organizing maps, Jorma Laaksonen, Timo Honkela (Eds.), Springer, Lecture notes in Computer Sciences 6731, pp. 298-307 doi: 10.1007/978-3-642-21566-7_30, ISBN 978-3-642-21565-0, ISSN 0302-9743 |
| 48 | |
Gauthier
Doquire, Michel Verleysen Graph Laplacian for Semi-supervised Feature Selection in Regression Problems IWANN 2011, 11th international work-conference on artificial neural networks, 8-10 June 2011, Torremolinos (Spain). Advances in Computational Intelligence, Joan Cabestany, Ignacio Rojas, Gonzalo Joya (Eds.), Springer, Lecture Notes in Computer Science 6691, pp. 248-255. doi: 10.1007/978-3-642-21501-8_31, ISBN 978-3-642-21500-1, ISSN 0302-9743 |
| 47 | |
Gauthier
Doquire, Michel Verleysen Feature Selection for Multi-label Classification Problems IWANN 2011, 11th international work-conference on artificial neural networks, 8-10 June 2011, Torremolinos (Spain). Advances in Computational Intelligence, Joan Cabestany, Ignacio Rojas, Gonzalo Joya (Eds.), Springer, Lecture Notes in Computer Science 6691, pp. 9-16. doi: 10.1007/978-3-642-21501-8_2, ISBN 978-3-642-21500-1, ISSN 0302-9743 |
| 46 | |
John Lee,
Michel Verleysen Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants ICCS 2011, International Conference on Computational Science, 1-3 June 2011, Singapore. Proceedings of ICCS 2011, Mitsuhisa Sato, Satoshi Matsuoka, Peter M. Sloot, G.Dick van Albada and Jack Dongarra (Eds.), Procedia Computer Science, Elsevier, Vol. 4, 2011, pp. 538-547 doi:10.1016/j.procs.2011.04.056, ISSN 1877-0509 |
| 45 | |
Multi-Objective Semi-supervised Feature Selection and Model Selection
based on Pearson’s Correlation Coefficient |
| 44 | |
Trajectory
Clustering for Vibration Detection in Aircraft Engines Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille ICDM 2010, Industrial Conference on Data Mining, 12-14 July 2010, Berlin (Germany) Advances in Data Mining: Applications and Theoretical Aspects, Petra Perner (Ed.), Springer, Lecture Notes in Computer Science 6171, pp. 362-375. |
| 43 | |
Aircraft
engine health monitoring using Self-Organizing Maps Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille ICDM 2010, Industrial Conference on Data Mining, 12-14 July 2010, Berlin (Germany) Advances in Data Mining: Applications and Theoretical Aspects, Petra Perner (Ed.), Springer, Lecture Notes in Computer Science 6171, pp. 4°5-417. |
| 42 | |
Simbed: Similarity-Based
Embedding John A. Lee, Michel Verleysen ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009. Artificial Neural Networks, Cesare Alippi, Marios Polycarpou, Christos Panayiotou, Georgios Ellinas (Eds.), Spinger, Lecture Notes in Computer Science 5769, pp. 95-104. |
| 41 | |
Fault Prediction
in Aircraft Engines Using Self-Organizing Maps Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaillen Michel Verleysen WSOM 2009, 7th International Workshop on Self-Organizing Maps,St. Augustine, Florida (USA), 8-10 June 2009. Advances in Self-Organizing Maps, José C. Príncipe, Risto Miikkulainen (Eds.), Springer, Lecture Notes in Computer Science 5629, pp. 37-44. |
| 40 | |
Filtering
Heart Related Activity from Vagus Nerve Recordings in Rats Gaël de Lannoy, Jorge Marin, Michel Verleysen, Jean Delbeke IFESS 2008, 13th Annual International FES Society Conference, Freiburg (Germany), 21-25 September 2008. Biomed. Tech., Vol. 53 (2008), Supp. 1, pp 16-18. |
| 39 | |
An Alternative to Center-based
Clustering Algorithm via Statistical Learning Analysis Rui Nian, Guangrong Ji, Michel Verleysen ICIC 2008, International Conference on Intelligent Computing, Shangai (China), 15-18 September 2008. Advanced Intelligent Computing Theories and Applications with Aspects of Artificial Intelligence, Huang, D.-S., Wunsch, D.C., Levine, D.S., Jo, K.-H. (Eds.), Springer, Lecture Notes in Artificial Intelligence 5227, pp.693-700. |
| 38 | |
Improving the Robustness
to Outliers of Mixtures of Probabilistic PCAs Nicolas Delannay, Cédric Archambeau Michel Verleysen PAKDD'08, 12th Pacific-Asia Conference, Osaka (Japan), 20-23 May 2008. Advances in Knowledge Discovery and Data Mining, Washio, T., Suzuki, E., Ting, K.M., Inokuchi, A. (Eds.), Springer, Lecture Notes in Artificial Intelligence 5012, pp. 527-535. |
| 37 | |
Quality assessment of nonlinear dimensionality reduction based
on K-ary neighborhoods |
| 36 | |
Is the general form of Renyi's entropy a contrast for source separation? |
| 35 | |
Information-theoretic
feature selection for the classification of hysteresis curves Vanessa Gomez-Verdejo, Michel Verleysen, Jérôme Fleury IWANN'07, International Work-Conference on Artificial Neural Networks, 20-22 June 2007, San Sebastian (Spain). Computational and Ambiant Intelligence, Francisco Sandoval et al. eds., Springer (Berlin-Heidelberg), Lecture Notes in Computer Science 4507, pp. 522-529. |
| 34 | |
A functional approach to variable selection in spectrometric problems,
|
| 33 | |
Effective Input Variable
Selection for Function Approximation, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén ICANN 2006, 16th International Conference on Artificial Neural Networks, Athens (Greece), 10-14 September 2006. Artificial Neural Networks, Stefanos Kollias, Andreas Stafylopatis, Wodzisaw Duch, Erkki Oja eds., Springer (Berlin Heidelberg), Lecture Notes in Computer Science 4131, pp. 41-50. |
| 32 | |
Feature Scoring by Mutual
Information for Classification of Mass Spectra C. Krier, D. François, V. Wertz, M. Verleysen FLINS 2006, 7th International FLINS Conference on Applied Artificial Intelligence, Genova (Italy), 29-31 August 2006. Applied Artificial Intelligence, D. Ruan, P. D'Hondt, P.F. Fantoni, M. De Cock, M. Nechtegael, E.E. Kerre eds, World Scientific, pp. 557-564. |
| 31 | |
Electrode selection for
non-invasive Fetal Electrocardiogram Extraction using Mutual Information
Criteria Reza Sameni, Frédéric Vrins, Fabienne Parmentier, Christophe Hérail, Vincent Vigneron, Michel Verleysen, Christian Jutten, M. B. Shamsollahi MaxEnt 2006, 26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Paris (France), 8-13 July 2006. Bayesian Inference and Maximum Entropy Methods in Science and Engineering, A. Mohammad-Djafari ed., American Institute of Physics, AIP conference proceedings 872, pp. 97-104. |
| 30 | |
Zero-Entropy Minimization for Blind Extraction of Bounded Sources
(BEBS) |
| 29 | |
Minimum Support ICA Using
Order Statistics. Part I: Quasi-range Based Support Estimation F. Vrins, M. Verleysen ICA 2006, 6th International Conference on Independent Component Analysis and Blind Source Separation, 5-8 March 2006, Charleston, SC (USA). Independent Component Analysis and Blind Source Separation, J. Rosca, D. Erdogmus, J.C. Príncipe, S. Haykin eds, Springer (Berlin Heidelberg), Lecture Notes in Computer Science 3889, pp. 262-269. |
| 28 | |
Minimum Support ICA Using
Order Statistics. Part II: Performance Analysis F. Vrins, M. Verleysen ICA 2006, 6th International Conference on Independent Component Analysis and Blind Source Separation, 5-8 March 2006, Charleston, SC (USA). Independent Component Analysis and Blind Source Separation, J. Rosca, D. Erdogmus, J.C. Príncipe, S. Haykin eds, Springer (Berlin Heidelberg), Lecture Notes in Computer Science 3889, pp. 270-277. |
| 27 | |
LS-SVM Hyperparameter
Selection with a Nonparametric Noise Estimator A. Lendasse, Y. Ji, N. Reyhani, M. Verleysen ICANN'05, International Conference on Artificial Neural Networks, 11-15 September 2005, Warsaw (Poland). Artificial Neural Networks: Formal Models and Their Applications, W. Duch, J. Kacprzyk, E. Oja, S. Zadroznyeds., Springer, Lecture Notes in Computer Science 3697, pp. 625-630. |
| 26 | |
Manifold Constrained
Variational Mixtures C. Archambeau, M. Verleysen ICANN'05, International Conference on Artificial Neural Networks, 11-15 September 2005, Warsaw (Poland). Artificial Neural Networks: Formal Models and Their Applications, W. Duch, J. Kacprzyk, E. Oja, S. Zadroznyeds., Springer, Lecture Notes in Computer Science 3697, pp. 279-284. |
| 25 | |
The curse of dimensionality
in data mining and time series prediction M. Verleysen, D. François IWANN'05, International Work-Conference on Artificial Neural Networks, 8-10 June 2005, Barcelona (Spain). Invited talk. Computational Intelligence and Bioinspired Systems, J. Cabestany, A. Prieto, F. Sandoval eds., Springer, Lecture Notes in Computer Science 3512, pp. 758-770. |
| 24 | |
Manifold Constrained
Finite Gaussian Mixtures C. Archambeau and M. Verleysen IWANN'05, International Work-Conference on Artificial Neural Networks, 8-10 June 2005, Barcelona (Spain). Computational Intelligence and Bioinspired Systems, J. Cabestany, A. Prieto, F. Sandoval eds., Springer, Lecture Notes in Computer Science 3512, pp. 820-828. |
| 23 | |
Filtering-free blind
separation of correlated images F. Vrins, J.A. Lee and M. Verleysen IWANN'05, International Work-Conference on Artificial Neural Networks, 8-10 June 2005, Barcelona (Spain). Computational Intelligence and Bioinspired Systems, J. Cabestany, A. Prieto, F. Sandoval eds., Springer, Lecture Notes in Computer Science 3512, pp. 1091-1099. |
| 22 | |
Non-linear ICA by using isometric dimensionality reduction |
| 21 | |
Sensor Array and Electrode
Selection for Non-Invasive Fetal Electrocardiogram Extraction by Independent
Component Analysis F. Vrins, C. Jutten, M. Verleysen, ICA'04, 5th Int. Conf. on Independent Component Analysis and Blind Signal Separation, 22-24 September 2004, Granada (Spain) Independent Component Analysis and Blind Signal Separation, C.G. Puntonet, A. Prieto eds., Springer, Lecture Notes in Computer Science 3195, 2004, pp. 1017-1024. |
| 20 | |
Entropy Minima and Distribution Structural Modifications in Blind
Separation of Multimodal Sources |
| 19 | |
Model selection with cross-validations and bootstraps – Application
to time series prediction with RBFN models |
| 18 | |
On the effects of dimensionality on data analysis with neural networks |
| 17 | |
Bootstrap for model selection: linear approximation of the optimism |
| 16 | |
Nonlinear time series prediction by weighted vector quantization |
| 15 | |
Independent Component Analysis for face authentication |
| 14 | Nonlinear Projection
with the Isotop Method J. Lee, M. Verleysen ICANN 2002, International Conference on Artificial Neural Networks, Madrid (Spain), 28-30 August 2002. Artificial Neural Networks, J. R. Dorronsoro ed., Springer-Verlag, Lecture Notes in Computer Science 2415, 2002, pp. 933-938. |
|
| 13 | |
A Statistical Tool to Assess the Reliability of Self-Organizing
Maps |
| 12 | |
Recursive learning rules
for SOMs J. Lee, N. Donckers, M. Verleysen WSOM 2001, Workshop on Self-Organizing Maps, Lincoln (United Kingdom), 13-15 June 2001. Advances in Self-Organising Maps, N. Allinson, H. Yin, L. Allinson, J. Slack eds., Springer Verlag, 2001, pp. 67-72. |
| 11 | |
Forecasting financial
time series through intrinsic dimension estimation and non-linear
data projection M. Verleysen, E. de Bodt, A. Lendasse IWANN'99, International Work-conference on Artificial and Natural Neural networks, June 1999, Alicante (Spain). Invited talk. Engineering Applications of Bio-Inspired Artificial Neural Networks, J. Mira, J. Sanchez-Andres eds., Springer-Verlag Lecture Notes in Computer Science 1607, 1999, pp. II596-II605. |
| 10 | |
A practical view of suboptimal
Bayesian classification with radial Gaussian kernels J.-L. Voz, M. Verleysen, P. Comon International Workshop on Artificial Neural Networks, Malaga (Spain), 7-9 June 1995. From Natural to Artificial Neural Computation, J.Mira, F.Sandoval eds., Springer-Verlag, Lecture Notes in Computer Science 930, 1995, pp.404-411. |
| 9 |
|
An associative processor dedicated to classification by neural
methods |
| 8 | |
A VLSI system for neural Bayesian and LVQ classification |
| 7 |
|
Learning vector classification: an improvement on LVQ algorithms
to create classes of patterns |
| 6 | |
Analog VLSI synapse matrix
with enhanced stochastic computations M. Verleysen, P. Jespers International Workshop on Artificial Neural Networks, Granada (Spain), 17-20 September 1991 Invited talk. Artificial Neural Networks, A.Prieto ed., Springer-Verlag, Lecture Notes in Computer Science 540, 1991, pp.315-321. |
| 5 | |
Stochastic computations
in VLSI analog neural networks M. Verleysen, P. Jespers International Conference on Artificial neural networks, Helsinki (Finland), 24-28 June 1991 Artificial Neural Networks, T.Kohonen et al. eds, North-Holland Amsterdam, 1991, pp. I691-I696. |
| 4 | |
Implémentations
VLSI analogiques de réseaux de neurones M. Verleysen, P. Jespers Journées d'électronique 1989, EPFL Lausanne (Suisse), 10-12 October 1989 Invited talk. Journées d'Electronique, Presses Polytechniques Romandes, 1989, pp.279-289. |
| 3 | |
An analog VLSI architecture for large neural networks |
| 2 | |
A new CMOS architecture
for neural networks M. Verleysen, B. Sirletti, P. Jespers Workshop on VLSI for Artificial Intelligence, Oxford (U.K.), 20-22 July 1988 VLSI for Artificial Intelligence, J.Delgado-Frias & W.R.Moore eds, Kluwer Academic Publisher, Boston (USA), 1989, pp.209-217. |
| 1 | |
A new VLSI architecture for neural associative memories |
| [top of page] | ||
| Communications to conferences | ||
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Identification of Statistically Significant Features from Random Forests Jérôme Paul, Michel Verleysen, Pierre Dupont ECML workshop on Solving Complex Machine Learning Problems with Ensemble Methods. Prague (Czech Republic), 23-27 September 2013. |
|
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Stability comparison of dimensionality reduction techniques attending to data and parameter variations |
|
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User control for adjusting conflicting objectives in parameter-dependent visualization of data |
|
|
Risk Estimation and Feature Selection |
|
|
Sensitivity to parameter and data variations in dimensionality reduction techniques |
|
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Improving projection-based data analysis by feature space transformations |
|
| 189 | |
Cluster homogeneity as a semi-supervised principle for feature selection using mutual information |
| 188 | |
On the Potential Inadequacy of Mutual Information for Feature Selection |
| 187 | |
The stability of feature selection and class prediction from ensemble tree classifiers Jérôme Paul, Michel Verleysen, Pierre Dupont ESANN 2012, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 25-27 April 2012, pp. 263-268 i6doc.com, Louvain-la-Neuve (Belgium), ISBN 978-2-87419-049-0 |
| 186 | |
Incremental feature building and classification for image segmentation Guillaume Bernard, Michel Verleysen, John A. Lee ESANN 2012, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 25-27 April 2012, pp. 157-162 i6doc.com, Louvain-la-Neuve (Belgium), ISBN 978-2-87419-049-0 |
| 185 | |
A Comparison of Multivariate Mutual Information Estimators for Feature Selection Gauthier Doquire, Michel Verleysen ICPRAM 2012, International Conference on Pattern Recognition Applications and Methods, Vilamoura (Portugal), 6-8 February 2012, pp. 176-185 SciTePress, doi: 10.5220/0003726101760185 |
| 184 | |
Handling Imprecise Labels in Feature Selection with Graph Laplacian Gauthier Doquire, Michel Verleysen ICPRAM 2012, International Conference on Pattern Recognition Applications and Methods, Vilamoura (Portugal), 6-8 February 2012, pp. 162-169 SciTePress, doi: 10.5220/0003712101620169 |
| 183 | |
An hybrid approach to feature selection for mixed categorical and
continuous data. |
| 182 | |
Bayesian inference for
outtier detection in vibration spectre with small learning dataset Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille Surveillance6, Compiègne (France), 25-26 October 2011, pp. 1-15. |
| 181 | |
Dimensionality Reduction
of EEG for Classification using Mutual Information and SVM Carlos Guerrero-Mosquera, Michel Verleysen, Angel Navia Vazquez MLSP 2011, IEEE International Workshop on Machine Learning for Signal Processing, 18-21 September 2011, Beijing (China) |
| 180 | |
Gauthier Doquire, Michel
Verleysen Mutual information based feature selection for mixed data ESANN 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 27-29 April 2011, pp. 333-338 i6doc.com, Louvain-la-Neuve (Belgium), ISBN 978-2-87419-044-5 |
| 179 | |
Gauthier Doquire, Michel
Verleysen Mutual information for feature selection with missing data ESANN 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 27-29 April 2011, pp. 263-268 i6doc.com, Louvain-la-Neuve (Belgium), ISBN 978-2-87419-044-5 |
| 178 | |
Gaël de Lannoy,
Damien Francois, Michel Verleysen Class-Specific Feature Selection for One-Against-All Multiclass SVMs ESANN 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 27-29 April 2011, pp. 269-274 i6doc.com, Louvain-la-Neuve (Belgium), ISBN 978-2-87419-044-5 |
| 177 | |
Gauthier Doquire, Gaël
de Lannoy, Damien François, Michel Verleysen Feature selection for supervised inter-patient heart beat classification. BIOSIGNALS 2011, 4th International Conference on Bio-inspired Systems and Signal Processing, 26-29 January 2011, Roma (Italy), pp. 67-73. SciTePress, ISBN: 978-989-8425-35-5 |
| 176 | |
Aurélien Hazan,
Michel Verleysen, Marie Cottrell, Jérôme Lacaille Linear smoothing of FRF for aicraft engine vibration monitoring ISMA 2010, International Conference on Noise and vibration Engineering, 20-22 September 2010, Leuven (Belgium), pp. 2857-2868. |
| 175 | |
Carlos Guerrero-Mosquera,
Michel Verleysen, Angel Navia Vazquez EEG Feature Selection Using Mutual Information and Support Vector Machine: A Comparative Analysis EMBC 2010, 32nd Annual International IEEE EMBC Conference, 31 August - 4 September, 2010, Buenos Aires (Argentina), pp. 4946-4949. |
| 174 | |
John A. Lee, Michel Verleysen On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding COMPSTAT 2010, 19th International Conference on Computational Statistics, Paris (France), 22-27 August 2010, pp. 337-348. doi: 10.1007/978-3-7908-2604-3_31 |
| 173 | |
Victor Onclinx, John
A. Lee, Vincent Wertz, and Michel Verleysen Dimensionality reduction by rank preservation IJCNN 2010, International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), Barcelona (Spain), 18-23 July 2010, pp. 1599-1606. |
| 172 | |
John A. Lee, Michel Verleysen Unsupervised Dimensionality Reduction: Overview and Recent Advances IJCNN 2010, International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), Barcelona (Spain), 18-23 July 2010, pp. 4163-4170. |
| 171 | |
Etienne Côme, Marie
Cottrell, Michel Verleysen, Jérôme Lacaille Self Organizing Star (SOS) for health monitoring ESANN 2010, 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning. Bruges (Belgium), 28-30 April 2010, pp. 99-104. |
| 170 | |
Yoan Miché, Emil
Eirola, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse,
Michel Verleysen Ensemble Modeling with a Constrained Linear System
of Leave-One-Out Outputs ESANN 2010, 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning. Bruges (Belgium), 28-30 April 2010, pp. 19-24. |
| 169 | |
Benoit Frenay, M.Verleysen Using SVMs with randomised feature spaces: an extreme learning approach ESANN 2010, 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning. Bruges (Belgium), 28-30 April 2010, pp. 315-320. |
| 168 | |
Axel Wismueller, Michel Verleysen, Michael Aupetit, John A. Lee |
| 167 | |
Arnaud de Decker, John
Aldo Lee, Damien François, Michel Verleysen Mode Estimation in High-dimensional Spaces with Flat-top Kernels: Application to Image Denoising ESANN 2010, 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning. Bruges (Belgium), 28-30 April 2010, pp. 411 - 416. |
| 166 | |
Gaël de Lannoy, Damien Francois, Jean Delbeke, Michel Verleysen |
| 165 | |
Gaël de Lannoy, Thomas Costecalde, Jorge Marin, Michel Verleysen,
Jean Delbeke |
| 164 | |
Variance Stabilizing
Tranformations in Patch-Based Bilateral Filters for Poisson Noise
Image Denoising Arnaud De Decker, John Aldo Lee, Michel Verleysen EMBC 2009, International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, Minnesotta (USA), 2-6 September 2009, pp. 3673-3676. |
| 163 | |
Clustering fractal urban
patterns with curves of scaling behaviour Isabelle Thomas, Pierre Frankhauser, Benoît Frenay, Michel Verleysen ERSA 2009, 49th Congress of the European Regional Science Association "Territorial cohesion of Europe and integrative planning", Lodz (Poland), 25-29 August 2009, p. 71 (abstract only). |
| 162 | |
Clustering patterns of urban builtup areas with curves of fractal
scaling behavior |
| 161 | |
Random model of vibrations
for Foreign Object Damage detection in a civil aircraft engine Aurélien Hazan, Michel Verleysen, Marie Cottrell MLA 2009, Machine Learning for Aerospace International Workshop, Marseille (France), 3-4 July 2009, pp. 149-152. |
| 160 | |
Supervised variable clustering
for classification of NIR spectra Catherine Krier, Damien Francois, Fabrice Rossi, Michel Verleysen ESANN 2009, 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, Bruges (Belgium), 22-24 April 2009, pp. 163-268. |
| 159 | |
Improving the transition
modelling in hidden Markov models for ECG segmentation Benoît Frénay, Gaël de Lannoy, Michel Verleysen ESANN 2009, 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, Bruges (Belgium), 22-24 April 2009, pp. 141-146. |
| 158 | |
Adaptive anisotropic
denoising: a bootstrapped procedure John Lee, Arnaud de Decker, Michel Verleysen ESANN 2009, 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, Bruges (Belgium), 22-24 April 2009, pp. 101-106. |
| 157 | |
Patch-based bilateral
filter and local m-smoother for image denoising Arnaud de Decker, John Lee, Michel Verleysen ESANN 2009, 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, Bruges (Belgium), 22-24 April 2009, pp. 95-100. |
| 156 | |
Performance Assessment of Patch-Based Bilateral Denoising |
| 155 | |
Assessment and Comparison
of Time Realignment Methods for Supervised Heart Beat Classification Gaël de Lannoy, Michel Verleysen, Jean Delbeke BIOSIGNALS'09, 2nd International Conference on Bio-inspired Systems and Signal Processing, Porto (Portugal), 14-17 January 2009, pp. 140-145. |
| 154 | |
Supervised ECG Delineation
Using the Wavelet Transform and Hidden Markov Models Gaël de Lannoy, Benoit Frénay, Michel Verleysen, Jean Delbeke IFMBE 2008, 4th European Conference of the International Federation for Medical and Biomedical Engineering, Anvers (Belgium) 23-27 November 2008, pp 22-25. |
| 153 | |
Emission Modelling for
Supervised ECG Segmentation using Finite Differences Benoit Frénay, Gaël de Lannoy, Michel Verleysen IFMBE 2008, 4th European Conference of the International Federation for Medical and Biomedical Engineering, Anvers (Belgium) 23-27 November 2008, pp. 1212–1216 |
| 152 | |
An Unsupervised Gaussian
Mixture Classification Mechanism Based on Statistical Learning Analysis Rui Nian, Guangrong Ji, Michel Verleysen FSKD'08, Fifth International Conference on Fuzzy Systems and Knowledge Discovery, Shandong (China), 18-20 October 2008, Vol. 2, pp. 14 - 18. |
| 151 | |
Projection of time series with periodicity on a sphere |
| 150 | |
Parameter-free feature selection with mutual information |
| 149 | |
Using the Delta Test
for Variable Selection Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen ESANN 2008, 16th European Symposium on Artificial Neural Networks, Bruges (Belgium), 23-25 April 2008, pp. 25-30. |
| 148 | |
K-nearest neighbours
based on mutual information for incomplete data classification Pedro J. García-Laencina, José-Luis Sancho-Gómez, Anibal R. Figueiras-Vidal, Michel Verleysen ESANN 2008, 16th European Symposium on Artificial Neural Networks, Bruges (Belgium), 23-25 April 2008, pp. 37-42. |
| 147 | |
Nonlinear data projection
on a sphere with controlled trade-off between trustworthiness and
continuity Victor Onclinx, Vincent Wertz, Michel Verleysen ESANN 2008, 16th European Symposium on Artificial Neural Networks, Bruges (Belgium), 23-25 April 2008, pp. 43-48. |
| 146 | |
Rank-based
quality assessment of nonlinear dimensionality reduction John Lee, Michel Verleysen ESANN 2008, 16th European Symposium on Artificial Neural Networks, Bruges (Belgium), 23-25 April 2008, pp. 49-54. |
| 145 | Feature selection with
low-dimensional mutual information Michel Verleysen OrHavana, 8th International Conference on Operations Research, Havana (Cuba), 25-29 February 2008 (Abstract only). |
|
| 144 | |
A supervised learning
approach based on the CWT for R spike detection in ECG Gaël de Lannoy, Arnaud de Decker, Michel Verleysen Biosignals 2008, Funchal, Madeira (Portugal), 28-31 January 2008, pp. 140-145. |
| 143 | |
Estimation de redondance pour le clustering de variables spectrales |
| 142 | |
Estimation de redondance
conditionnelle par information mutuelle, application au clustering
de variables spectrales Damien François, Catherine Krier, Fabrice Rossi, Michel Verleysen Chimiométrie 2007, Lyon (France), 29-30 November 2007, pp. 43-46 (in French). |
| 141 | |
An Empirical Taxonomy
of Start-Up Firms Growth Trajectories. Mahamadou Biga Diambeidou, Damien François, Benoît Gailly, Michel Verleysen, Vincent Wertz The OECD Entrepreneurship Indicators Programme: Workshop on the Measurement of High-Growth Enterprises, Paris (France), 19 November 2007, 28 pp. (in French). |
| 140 | |
Une Taxonomie des Trajectoires
de Croissance Initiale des Jeunes Entreprises Mahamadou Biga Diambeidou, Benoît Gailly, Michel Verleysen Vème Congrès International de l’Académie de l’Entrepreneuriat, Sherbrooke (Canada), 4-5 October 2007, 27 pp. (in French). |
| 139 | |
Functional SOM for variable-length signal windows |
| 138 | |
Modelling and Forecasting Financial Time Series of “Tick Data”
by Functional Analysis and Neural Networks |
| 137 | |
Forecasting "High"
and "Low" of Financial Time series by Particle Systems and
Kalman Filters Simon Dablemont, Sébastien Van Bellegem, Michel Verleysen, Forecasting Financial Markets, Aix-en-Provence (France), 30 May - 1 June 2007, pp. 19-44. |
| 136 | |
Collaborative Filtering
with interlaced Generalized Linear Models N. Delannay, M. Verleysen ESANN 2007, European Symposium on Artificial Neural Networks, Bruges (Belgium), 25-27 April 2007, pp. 247-252. |
| 135 | |
Mixtures of robust probabilistic
principal component analyzers Cédric Archambeau, Nicolas Delannay, Michel Verleysen ESANN 2007, European Symposium on Artificial Neural Networks, Bruges (Belgium), 25-27 April 2007, pp. 229-234. |
| 134 | |
Feature clustering and
mutual information for the selection of variables in spectral data Catherine Krier, Damien François, Fabrice Rossi, Michel Verleysen ESANN 2007, European Symposium on Artificial Neural Networks, Bruges (Belgium), 25-27 April 2007, pp. 157-162. |
| 133 | |
Une approche orientée
données pour la projection de variables spectrales en spectrométrie Catherine Krier, Damien François, Michel Verleysen Chimiométrie 2006, Paris (France), 30 November - 1 December 2006 (in French), pp. 53-59. |
| 132 | |
Modélisation de
la qualité des séparations énantiomériques
utilisant le critère d'information mutuelle Sónia Caetano, Catherine Krier, Michel Verleysen, Yvan Vander Heyden Chimiométrie 2006, Paris (France), 30 November - 1 December 2006, pp. 170-173 (in French). |
| 131 | |
A least absolute bound
approach to ICA - Application to the MLSP 2006 competition J.A. Lee, F. Vrins and M. Verleysen MLSP 2006, IEEE International Workshop on Machine Learning for Signal Processing, Maynooth (Ireland), 6-8 September 2006, pp. 41-46. Winning entry of the "ill-conditioned, large-scale, noisy ICA" competiton. |
| 130 | |
Automatic Adjustment
of Discriminant Adaptive Nearest Neighbor Nicolas Delannay, Cédric Archambeau, Michel Verleysen ICPR 2006, 18th International Conference on Pattern Recognition, Hong Kong, 20-24 August 2006. |
| 129 | |
Empirical Taxonomy of
Start-Up Firms Growth Trajectories M. Biga Diambeidou, D. François, B. Gailly, M. Verleysen, V. Wertz ESUCO 2006, European Summer University Conference on Entrepreneurship and Entrepreneurship Education Research, Hämeenlinna (Finland), 25-30 August 2006, pp. 506-530. |
| 128 | |
Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction
using Mutual Information Criteria |
| 127 | |
Robust probabilistic projections |
| 126 | |
Modelling and Forecasting
financial time series of "tick data" S. Dablemont, S. Van Bellegem, M. Verleysen ISF 2006, 26th International Symposium on Forecasting, Santander (Spain), 11-14 June 2006, p. 60. Abstract only. |
| 125 | |
Mutual Information for
the selection of variables to model enantioselectivity Sonia Caetano, Catherine Krier, Michel Verleysen, Yvan Vander Heyden ICRM 2006, 4th International Chemometrics Research Symposium, 28 May - 1 June 2006, Veldhoven, The Netherlands. Abstract only. |
| 124 | |
Assessment of probability
density estimation methods: Parzen window and Finite Gaussian Mixture A. Assenza, C. Archambeau, M. Valle, M. Verleysen ISCAS 2006, IEEE International Symposium on Circuits and Systems, Kos (Greece), 21-24 May 2006, pp. 3245-3248. |
| 123 | |
Lag selection for regression
models using high-dimensional mutual information G. Simon, M. Verleysen ESANN 2006, European Symposium on Artificial Neural Networks, Bruges (Belgium), 26-28 April 2006, pp. 395-400. |
| 122 | |
Non-orthogonal Support
Width ICA J.A. Lee, F. Vrins, M. Verleysen ESANN 2006, European Symposium on Artificial Neural Networks, Bruges (Belgium), 26-28 April 2006, pp. 351-358. |
| 121 | |
The permutation test
for feature selection by mutual information D. François, V. Wertz, M. Verleysen ESANN 2006, European Symposium on Artificial Neural Networks, Bruges (Belgium), 26-28 April 2006, pp. 239-244. |
| 120 | |
Determination of the
Mahalanobis matrix using nonparametric noise estimations A. Lendasse, F. Corona, J. Hao, N. Reyhani, M. Verleysen ESANN 2006, European Symposium on Artificial Neural Networks, Bruges (Belgium), 26-28 April 2006, pp. 227-232. |
| 119 | |
Estimation non paramétrique
de bruit pour la construction de modèles non linéaires
en spectrométrie A. Lendasse, D. François, V. Wertz, M. Verleysen Chimiométrie 2005, Villeneuve d'Ascq (France), 30 November - 1 December 2005 (in French), pp. 143-146. |
| 118 | |
Sélection de groupes de variables spectrales par information
mutuelle grâce à une représentation spline |
| 117 | |
Using the Self-Organizing Maps to prove empirically the market
inefficiency: Evidence from the Paris Stock Exchange |
| 116 | |
On the need of unfolding
preprocessing for time series clustering G. Simon, J.A. Lee, M. Verleysen WSOM'05, 5th Workshop on Self-Organizing Maps, 5-8 September 2005, Paris (France), pp. 251-258. |
| 115 | |
Generalization of the Lp norm for time series and its application
to Self-Organizing Maps |
| 114 | |
Can we always trust entropy
minima in the ICA context ? F. Vrins, J.A. Lee and M. Verleysen EUSIPCO 2005, 13th European Signal Processing Conference, 4-8 September 2005, Antalya (Turkey), pp. 1107:1-4. |
| 113 | |
A simple ICA algorithm
for non-differentiable contrasts J.A. Lee, F. Vrins and M. Verleysen EUSIPCO 2005, 13th European Signal Processing Conference, 4-8 September 2005, Antalya (Turkey), pp. 1412:1-4. |
| 112 | |
Spurious entropy minima for multimodal source separation |
| 111 | |
Modelling and forecasting
of financial time series of "tick data" by functional analysis
and neural networks S. Dablemont, M. Verleysen DSI'05, Decision Sciences Institute International Conference, Barcelona (Spain), 3-6 July 2005, pp. 159-169. |
| 110 | |
About the locality of
kernels in high-dimensional spaces D. François, V. Wertz, M. Verleysen ASMDA 2005, International Symposium on Applied Stochastic Models and Data Analysis, Brest (France), 17-19 May 2005, pp. 238-245. |
| 109 | |
Non-Euclidean metrics
for similarity search in noisy datasets D. François, V. Wertz, M. Verleysen ESANN 2005, European Symposium on Artificial Neural Networks, Bruges (Belgium), 27-29 April 2005, pp. 339-344. |
| 108 | |
Pruned Lazy Learning
Models for Time Series Prediction A. Sorjamaa, A. Lendasse, M. Verleysen ESANN 2005, European Symposium on Artificial Neural Networks, Bruges (Belgium), 27-29 April 2005, pp. 509-514. |
| 107 | |
Clustering using a random walk based distance measure |
| 106 | |
SWM : A class of convex
contrasts for source separation F. Vrins, C. Jutten and M. Verleysen, ICASSP'05, IEEE International Conference on Acoustics, Speech, and Signal Processing, 19-23 March 2005, Philadelphia (USA), pp. V161-V164. |
| 105 | |
Local Vector-based Models
for Sense Discrimination M.-C. de Marneffe, C. Archambeau, P. Dupont, M. Verleysen IWCS 2005, 6th International Workshop on Computational Semantics, H. Bunt, J. Geertzen, E. Thijsse (eds), 12-14 January 2005, Tilburg (The Netherlands), pp. 163-174. |
| 104 | |
Sélection de variables
spectrales par information mutuelle multivariée pour la construction
de modèles non-linéaires A. Lendasse, D. François, F. Rossi, V. Wertz, M. Verleysen Chimiométrie 2004, Paris (France), 30 November - 1 December 2004 (in French), pp. 44-47. |
| 103 | |
Observer des Trajectoires
de 'Start-up' sur des Cartes de Kohonen D. François, M. Biga Diambeidou, B. Gailly, V. Wertz, M. Verleysen ACSEG 2004, Connectionist Approaches in Economics and Management Sciences, Lille (France), 18-19 November 2004 (in French), pp. 302-307. |
| 102 | |
Business plans classification
with locally pruned lazy learning models A. Sorjamaa, A. Lendasse, D. François, M. Verleysen ACSEG 2004, Connectionist Approaches in Economics and Management Sciences, Lille (France), 18-19 November 2004, pp. 112-119. |
| 101 | |
Classification et prédiction
fonctionnelles d'actifs boursiers en intraday S. Dablemont, M. Verleysen ACSEG 2004, Connectionist Approaches in Economics and Management Sciences, Lille (France), 18-19 November 2004 (in French), pp. 30-38. |
| 100 | |
Point mémoire analogique basse tension basé sur l'effet
GIDL |
| 99 | |
The growth trajectories
of start-up firms: an exploratory study B. Gailly, D. François, M. Biga Diambeidou, M. Verleysen, V. Wertz ESU entrepreneurship conference, Twente (The Netherlands), 19-21 September 2004, pp. 1-16. |
| 98 | |
Supervised Nonparametric
Information Theoretic Classification C. Archambeau, T. Butz, V. Popovici, M. Verleysen, J.-P. Thiran ICPR'04, 17th Intenational Conference on Pattern Recognition, Cambridge (United Kingdom), 23-26 August 2004, vol. 3, pp. 414-417. |
| 97 | |
Time Series Prediction
Competition: The CATS Benchmark A. Lendasse, E. Oja, O. Simula, M. Verleysen IJCNN 2004, International Joint Conference on Neural Networks, Budapest (Hungary), 25-29 July 2004, vol. II, pp. 1615-1620. |
| 96 | |
Double Quantization Forecasting
Method for Filling Missing Data in the CATS Time Series G. Simon, J. A. Lee, M. Verleysen, M. Cottrell IJCNN 2004, International Joint Conference on Neural Networks, Budapest (Hungary), 25-29 July 2004, pp. 1635-1640. |
| 95 | |
Fast Bootstrap applied to LS-SVM for Long Term Prediction of Time
Series |
| 94 | |
Flexible and Robust Bayesian
Classification by Finite Mixture Models C. Archambeau, F. Vrins, M. Verleysen ESANN 2004, European Symposium on Artificial Neural Networks, Bruges (Belgium), 28-30 April 2004, pp. 75-80. |
| 93 | |
Towards a Local Separation
Performances Estimator Using Common ICA Contrast Functions ? F. Vrins, C. Archambeau, M. Verleysen ESANN 2004, European Symposium on Artificial Neural Networks, Bruges (Belgium), 28-30 April 2004, pp. 211-216. |
| 92 | |
How to project 'circular'
manifolds using geodesic distances? J.A. Lee, M. Verleysen ESANN 2004, European Symposium on Artificial Neural Networks, Bruges (Belgium), 28-30 April 2004, pp. 223-230. |
| 91 | |
Functional Radial Basis
Function Networks (FRBFN) N. Delannay, F. Rossi, B. Conan-Guez, M. Verleysen ESANN 2004, European Symposium on Artificial Neural Networks, Bruges (Belgium), 28-30 April 2004, pp. 313-318. |
| 90 | |
Fast bootstrap for Least-Square
Support Vector Machines A. Lendasse, G. Simon, V. Wertz, M. Verleysen ESANN 2004, European Symposium on Artificial Neural Networks, Bruges (Belgium), 28-30 April 2004, pp. 525-530. |
| 89 | |
Open questions about similarity search in high-dimensional spaces |
| 88 | |
Abdominal electrodes analysis by statistical processing for fetal
eletrocardiogram extraction |
| 87 | |
On the extraction of the snore acoustic signal by independent component
analysis |
| 86 | |
Fully nonparametric probability density function estimation with
finite Gaussian mixture models |
| 85 | |
Utilisation de l'information mutuelle pour la sélection
de variables spectrales dans des modèles non-linéaires |
| 84 | |
Le test des méthodes neuronales – ou comment utiliser
les techniques de rééchantillonnage pour ne pas se
tromper de résultat |
| 83 | |
Prédiction de
séries temporelles financières par double carte de Kohonen
et modèles RBFN locaux: application à la prédiction
de l'indice boursier DAX30 S. Dablemont, G. Simon, A. Lendasse, A. Ruttiens, M. Verleysen ACSEG 2003, Connectionist Approaches in Economics and Management Sciences, Nantes (France), 20-21 November 2003, pp. 153-164 (in French). |
| 82 | |
Le plan d'affaire: un
outil pour l'investisseur? D. François, A. Lendasse, B. Gailly, V. Wertz, M. Verleysen ACSEG 2003, Connectionist Approaches in Economics and Management Sciences, Nantes (France), 20-21 November 2003, pp. 239-249 (in French). |
| 81 | |
Improving Independent
Component Analysis performances by variable selection F. Vrins, J. Lee, M. Verleysen, V. Vigneron, C. Jutten NNSP 2003, IEEE International Workshop on Neural Networks for Signal Processing, Toulouse (France), 17-19 September 2003, pp. 359-368. |
| 80 | |
Long term time series
forecasting using self organising maps: the double vector quantization
method G. Simon, A. Lendasse, M. Cottrell, M. Verleysen ANNPR 2003, Artificial Neural Networks in Pattern Recognition, Florence (Italy), 12-13 September 2003, pp. 8-14. |
| 79 | |
Double SOM for long-term
time series prediction G. Simon, A. Lendasse, M. Cottrell, J.-C. Fort, M. Verleysen WSOM 2003, Workshop on Self-Organizing Maps, Hibikino (Japan), 11-14 September 2003, pp. 35-40. |
| 78 | |
Time series forecasting
with SOM and local non-linear models - Application to the DAX30 index
prediction S. Dablemont, G. Simon, A. Lendasse, A. Ruttiens, F. Blayo, M. Verleysen WSOM 2003, Workshop on Self-Organizing Maps, Hibikino (Japan), 11-14 September 2003, pp. 340-345. |
| 77 | |
Classification of visual
sensations generated electrically in the visual field of the blind C. Archambeau, J. Delbeke, M. Verleysen IFAC 2003, 5th IFAC Symposium on Modelling and Control in Biomedical Systems, Melbourne (Australia), 21-23 August 2003, pp. 223-228. |
| 76 | |
On Convergence Problems
of the EM Algorithm for Finite Gaussian Mixtures C. Archambeau, J. Lee, M. Verleysen ESANN 2003, European Symposium on Artificial Neural Networks, Bruges (Belgium), 23-25 April 2003, pp. 99-106. |
| 75 | |
Locally Linear Embedding
versus Isotop J.A. Lee, C. Archambeau, M. Verleysen ESANN 2003, European Symposium on Artificial Neural Networks, Bruges (Belgium), 23-25 April 2003, pp. 527-534. |
| 74 | |
Fast Approximation of
the Bootstrap for Model Selection G. Simon, A. Lendasse, V. Wertz, M. Verleysen ESANN 2003, European Symposium on Artificial Neural Networks, Bruges (Belgium), 23-25 April 2003, pp. 475-480. |
| 73 | |
Should Seed Investors
Read Business Plans? D. François, B. Gailly, A. Lendasse, V. Wertz, M. Verleysen 22th Benelux Meeting on Systems and Control, Lommel (Belgium), 19-21 March 2003, p.46. |
| 72 | |
Fast Bootstrap for Model
Structure Selection A. Lendasse, V. Wertz, G. Simon, M. Verleysen 22th Benelux Meeting on Systems and Control, Lommel (Belgium), 19-21 March 2003, p.81. |
| 71 | |
Calibrage chimiométrique
des spectrophotomètres : sélection et validation des
variables par modèles non-linéaires N. Benoudjit, E. Cools, M. Meurens, M. Verleysen Chimiométrie 2002, Paris (France), 4-5 December 2002, pp. 25-28. |
| 70 | |
Classification of investment
funds by self-organizing maps P. Cardon, A. Lendasse, V. Wertz, E. de Bodt, M. Verleysen ACSEG 2002, Connectionist Approaches in Economics and Management Sciences, Boulogne-sur-Mer (France), 21-22 November 2002, pp. 201-212. |
| 69 | |
Multiplieur analogique
en technologie SOI pour le décodage de turbo-codes T. Kervyn, N. Donckers, M. Verleysen, D. Flandre TAISA 2002, Traitement Analogique de l'Information, du Signal et de ses Applications, Paris (France), 12-13 September 2002, pp. 69-73. |
| 68 | |
Prediction of Electric
Load using Kohonen Maps - Application to the Polish Electricity Consumption A. Lendasse, M. Cottrell, V. Wertz, M. Verleysen. ACC 2002, American Control Conference, Anchorage, Alaska (USA), 8-10 May 2002, pp. 3684-3689. |
| 67 | |
Width optimization of
the Gaussian kernels in Radial Basis Function Networks N. Benoudjit, C. Archambeau, A. Lendasse, J. Lee, M. Verleysen ESANN 2002, European Symposium on Artificial Neural Networks, Bruges (Belgium), 24-26 April 2002, pp. 425-432. |
| 66 | |
Curvilinear Distance
Analysis versus Isomap J.A. Lee, A. Lendasse, M. Verleysen ESANN 2002, European Symposium on Artificial Neural Networks, Bruges (Belgium), 24-26 April 2002, pp. 185-192. |
| 65 | |
Nouvelles méthodes
de conception de systèmes électroniques integrés
D. Hubaux, L. Guedria, L. Vandendorpe, M. Verleysen, J.-D. Legat RENPAR'2002, 14° rencontres francophones du parallélisme, Hammamet (Tunisia), 10-13 April 2002, pp. 341-345. |
| 64 | Phosphene evaluation
in a visual prosthesis with artificial neural networks C. Archambeau, A. Lendasse, C. Trullemans, C. Veraart, J. Delbeke, M. Verleysen EUNITE 2001, European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems, Tenerife (Spain), 13-14 December 2001, pp. 509-515; also published in: Adaptive Systems and Hybrid Computational Intelligence in Medicine, special session proceedings of EUNITE 2001, Tenerife (Spain), 13-14 December 2001, pp. 116-122. |
|
| 63 | |
Approximation using Radial
Basis Functions Networks - Application to Pricing Derivative Securities A. Lendasse, J. Lee, E. de Bodt, V. Wertz, M. Verleysen. ACSEG 2001, Connectionist Approaches in Economics and Management Sciences, Rennes (France), 22-23 November 2001, pp. 275-283. |
| 62 | |
Learning high-dimensional
data M. Verleysen LFTNC 2001: NATO Advanced Research Workshop on Limitations and Future Trends in Neural Computing, Siena (Italy), 22-24 October 2001. Distributed communication, 22 pp. Invited talk. |
| 61 | |
On Designing Mixed-Signal
Fuzzy Logic Controllers as Embedded Subsystems in Standard CMOS Technology C. Dualibe, P. Jespers, M. Verleysen SBCCI 2001, 14th Symposium on Integrated Circuits and System Design, Pirenopolis (Brazil), 10-15 September 2001, pp. 194-200. |
| 60 | |
Embedded Fuzzy Control
for Automatic Channel Equalization after Digital Transmissions C. Dualibe, P. Jespers, M. Verleysen ISCAS 2001, International Symposium on Circuits and Systems, Sydney (Australia), 6-9 May 2001, pp. III 173-176. |
| 59 | |
Input data reduction
for the prediction of financial time series A. Lendasse, J. Lee, E. de Bodt, V. Wertz, M. Verleysen ESANN 2001, European Symposium on Artificial Neural Networks, Bruges (Belgium), 25-27 April 2001, pp. 237-244. |
| 58 | |
Forecasting electricity
demand using Kohonen maps (abstract). A. Lendasse, V. Wertz, M. Verleysen 20th Benelux meeting on Systems and Control, Houffalize (Belgium), 26-28 March 2001, p. 118. |
| 57 | |
Are they Really Neighbor
? A Statistical Analysis of the SOM Algorithm Output E. De Bodt, M. Cottrell, M. Verleysen AISTATS 2001, 8th International Workshop on Artificial Intelligence and Statistics, Key West, Florida (USA), 4-7 January 2001, pp. 35-40. |
| 56 | |
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 A. Lendasse, J. Lee, E. de Bodt, V. Wertz, M. Verleysen ACSEG 2000, Connectionist Approaches in Economics and Management Sciences, Paris (France), 14-15 December 2000, pp. 155-175. |
| 55 | |
A CMOS/SOI Continuous-Time
Low-Pass gm-C Filter C. Cavalcanti, J.A. de Lima, M. Verleysen XV SBMicro Intl. Conference on Microelectronics & Packaging, Manaus (Brazil), 18-24 September 2000. |
| 54 | |
An integrated circuit
for the electrical stimulation of the optic nerve P. Doguet, H. Mevel, M. Verleysen, M. Troosters, C. Trullemans IFESS 2000, 5th Annual Conference of the International Functional Electrical Stimulation Society, Aalborg (Denmark), 18-20 June 2000, pp. 309-312. |
| 53 | |
A current-mode CMOS looser-take-all
with minimum function for neural computations N. Donckers, C. Dualibe, M. Verleysen ISCAS'2000, International Symposium on Circuits and Systems, Geneva (Switzerland), 28-31 May 2000, pp. I415-I418. |
| 52 | |
A low-power Silicon-On-Insulator
PWM dircriminator for biomedical applications Jader A. De Lima, Sidnei F. Silva, Adriano S. Cordeiro, Alexandro C. Araujo, Michel Verleysen ISCAS'2000, International Symposium on Circuits and Systems, Genève (Suisse), 28-31 May 2000, pp. V277-V280. |
| 51 | |
A 5,26 Mflips Programmable
Analogue Fuzzy Logic Controller in a Standard CMOS 2.4µ Technology C. Dualibe, P. Jespers, M. Verleysen ISCAS'2000, International Symposium on Circuits and Systems, Geneva (Switzerland), 28-31 May 2000, pp. V377-V380. |
| 50 | |
Time series forecasting
using CCA and Kohonen maps - application to electricity consumption A. Lendasse, J. Lee, V. Wertz, M. Verleysen ESANN'2000, European Symposium on Artificial Neural Networks, Bruges (Belgium), 26-28 April 2000, pp. 329-334. |
| 49 | |
A robust non-linear projection
method J. Lee, A. Lendasse, N. Donckers, M. Verleysen ESANN'2000, European Symposium on Artificial Neural Networks, Bruges (Belgium), 26-28 April 2000, pp. 13-20. |
| 48 | |
Selective stimulation
of the human optic nerve C. Veraart, J. Delbeke, M.-C. Wanet-Defalque, A. Vanlierde, G. Michaux, S. Parrini, O. Glineur, M. Verleysen, C. Trullemans, J.T. Mortimer IFESS'99, 4th Conference of the International Functional Electrical Stimulation Society, Sendai (Japan), 23-27 August 1999, pp. 57-59 |
| 47 | |
Extraction of intrinsic
dimension using CCA - Application to blind sources separation N. Donckers, A. Lendasse, V. Wertz, M. Verleysen ESANN'99, European Symposium on Artificial Neural Networks, Bruges (Belgium), 21-23 April 1999, pp. 339-344. |
| 46 | |
Using the Kohonen algorithm
for quick initialization of simple competitive learning algorithm E. de Bodt, M. Cottrell, M. Verleysen ESANN'99, European Symposium on Artificial Neural Networks, Bruges (Belgium), 21-23 April 1999, pp. 19-26. |
| 45 | |
Design of complementary
low-power CMOS architectures for Looser-Take-All and Winner-Take-All N. Donckers, C. Dualibe, M. Verleysen MicroNeuro'99, 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 7-9 April 1999, Granada (Spain), pp. 360-365. |
| 44 | |
Estimation de la dimension
intrinsèque d'une série temporelle et prédiction
par une méthode de projection A. Lendasse, E. de Bodt, M. Verleysen ACSEG'98, Connectionist Approaches in Economics and Management Sciences, Louvain-la-Neuve (Belgium), 20 November 1998, pp. D-37 - D-46. |
| 43 | |
The explanatory power
of artificial neural networks M. Verleysen The explanatory power of models in the social sciences, Louvain-la-Neuve (Belgium), 14-16 November 1998. Distributed communication, 13 pp. Invited talk. |
| 42 | |
An electronic device
for nerve stimulation C. Americkx, P. Doguet, H. Mével, J.-D. Legat, M. Troosters, C. Trullemans, M. Verleysen Workshop on Industrial Microtechnology Applications, Madrid (Spain), 15-16 October 1998. Distributed communication, 4 pp. |
| 41 | |
Forecasting time-series
by Kohonen classification A. Lendasse, M. Verleysen, E. de Bodt, M. Cottrell, P. Gregoire ESANN'98, European Symposium on Artificial Neural Networks, Bruges (Belgium), 22-24 April 1998, pp. 221-226. |
| 40 | |
Asic-based batteryless
implantable telemetry microsystem for recording purposes J. Parramon, P. Doguet, D. Marin, M. Verleysen, R. Munoz, L. Leija, E. Valderrama IEEE-EMBS Engineering in Medecine and Biology Society conference, Chicago (USA), 30 October - 2 November 1997. |
| 39 | |
IC based RF powered implantable
telemetry microsystem for EMG recording J. Parramon, P. Doguet, D. Marin, M. Verleysen, E. Valderrama, J. Arzuaga, L. Leija XIV International Symposium on Biotelemetry, 6-11 April 1997, Marburg (Allemagne), proceedings T. Penzel, S. Salmons, M. Neuman (eds.), pp. 257-263. |
| 38 | |
Design of a RF powered
mixed-mode implantable IC for a wireless EMG recording purpose J. Parramon, P. Doguet, M. Verleysen, E. Valderrama Iberchip'97, Mexico, 19-21 February 1997, pp. 460-468. |
| 37 | |
Kohonen maps versus vector
quantization for data analysis E. de Bodt, M. Verleysen, M. Cottrell ESANN'97, European Symposium on Artificial Neural Networks, Bruges (Belgium), 16-18 April 1997, pp. 211-218. |
| 36 |
|
Learning in RBF networks M. Verleysen, K. Hlavackova International Conference on neural Networks (ICNN'96), Washington DC (USA), 2-6 June 1996, Special sessions volume pp. 199-204. Invited talk. |
| 35 | |
A VLSI associative processor
for neural-like classification algorithms P. Thissen, M. Verleysen, J. D. Legat MPCS'96, Second Internatinal Conference on Massively Parallel Computing Systems, Ischia (Italy), 6-9 May 1996, pp. 129-135. |
| 34 | |
A statistical neural
network for high-dimensional vector classification M. Verleysen, J.L. Voz, P. Thissen, J.D. Legat, ICNN'95, IEEE International Conference on Neural Networks, Perth (Australia), 27 November - 1 December 1995, pp. 990-994. |
| 33 | 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 J.-L. Voz, A. Guérin, M. Verleysen 3èmes rencontres de la société francophone de classification, Namur, 28-29 September 1995, pp. 60-61. |
|
| 32 | Les principaux modèles
de réseaux de neurones artificiels M. Verleysen Les réseaux de neurones en finance: conception et applications, Louvain-la-Neuve (Belgium), 29 May 1995, eds. E. de Bodt, E. Henrion, pp. 59-97, D-Facto publications, ISBN 2-9600049-5-7. |
|
| 31 | |
Suboptimal Bayesian classification
by vector quantization with small clusters J.L. Voz, M. Verleysen, P. Thissen, J.D. Legat ESANN'95, European Symposium on Artificial Neural Networks, Bruxelles (Belgium), 19-21 April 1995, pp. 153-160, D facto publications, Brussels (Belgium). |
| 30 | |
A FPGA-based control
unit for a dedicated parallel processor P. Thissen, J. Sirault, M. Verleysen, J.D. Legat ProRISC/IEEE Workshop on Circuit, Systems and Signal Processing, Mierlo (The Netherlands), 23-24 March 1995, pp. 303-308. |
| 29 | An associative processor
architecture for pattern recognition P. Thissen, M. Verleysen, J.D. Legat ProRISC/IEEE Workshop on Circuit, Systems and Signal Processing, Mierlo (The Netherlands), 23-24 March 1995, pp. 309-315. |
|
| 28 |
|
Handwritten digit recognition
by suboptimal bayesian classifier J.L. Voz, M. Verleysen, P. Thissen, J.D. Legat NeuroNîmes94 (Neural Networks and Their Applications), Marseille (France), 15-16 December 1994, pp.17-26. |
| 27 | |
Analog VLSI implementation
of kernel-based classifiers M. Verleysen, P. Thissen, J. Madrenas Neuromicro94, Turin (Italy), 26-28 September 1994, pp. 138-144. Also published in Belgian Neural Network Contact Group, Louvain-La-Neuve (Belgium), 30 September 1994, pp. 45-56. D facto publications, Brussels (Belgium). |
| 26 | |
Matching properties of
CMOS transistors P. Thissen, M. Verleysen, J.D. Legat Neuromicro94, Turin (Italy), 26-28 September 1994, pp. 134-137. |
| 25 | |
Parallel implementations
of the RCE algorithm J.D. Legat, P. Thissen, M. Verleysen, J.L. Voz Cost 229 Final Joint Workshop, Bayona-Vigo (Spain), 19-21 October 1994, pp.25-30. |
| 24 | |
Application of suboptimal
Bayesian classification to handwritten numerals recognition J.L. Voz, P. Thissen, M. Verleysen, J.D. Legat IEE European Workshop on Handwriting Analysis and Recognition: A European Perspective, Bruxelles (Belgium), 12-13 July 1994, pp. 9-1 - 9-8. Also published in Belgian Neural Network Contact Group, Louvain-La-Neuve (Belgium), 30 September 1994, pp. 97-106. D facto publications, Brussels (Belgium). |
| 23 | |
An optimized RBF network
for approximation of functions M. Verleysen, K. Hlavackova ESANN'94, European Symposium on Artificial Neural Networks, Brussels (Belgium), 20-22 April 1994, D facto publications, Bruxelles (Belgium), pp. 175-180. |
| 22 | |
Estimation of performance
bounds in supervised classification P. Comon, J.L. Voz, M. Verleysen ESANN'94, European Symposium on Artificial Neural Networks, Brussels (Belgium), 20-22 April 1994, D facto publications, Bruxelles (Belgium), pp. 37-42. |
| 21 | Neural network models F. Blayo, M. Verleysen Neuro-Nîmes 93, tutorial 2, Nîmes (France), 25-29 November 1993, 110 pages. Invited talk. |
|
| 20 | Realizations of artificial
neural networks: VLSI, machines and neural computers M. Verleysen Neuro-Nîmes 93, tutorial 8, Nîmes (France), 25-29 November 1993, 120 pages. Invited talk. |
|
| 19 | |
NERVES and ELENA: the
basic research on artificial neural networks in Europe M. Verleysen European Informatics Congress - Computing Systems Architectures, Munich (Germany), 18-19 October 1993, pp. 157-167. Invited talk. |
| 18 | |
Pyramids for image compression with neural networks interpolators |
| 17 | |
Laplacian pyramid with
multi-layer perceptrons interpolators B. Simon, B. Macq, M. Verleysen ESANN'93, European Symposium on Artificial Neural Networks, Bruxelles (Belgium), 7-9 April 1993. D facto publications, Bruxelles (Belgium), pp. 137-144. |
| 16 | |
Optimal decision surfaces
in LVQ1 classification of patterns M. Verleysen, P. Thissen, J.D. Legat ESANN'93, European Symposium on Artificial Neural Networks, Bruxelles (Belgium), 7-9 April 1993. D facto publications, Bruxelles (Belgium), pp. 209-214. |
| 15 | Realizations of artificial
neural networks: VLSI, machines and neural computers M. Verleysen Neuro-Nîmes 92, tutorial 6, Nîmes (France), 2-6 November 1992, 114 pages. Invited talk. |
|
| 14 | |
A dedicated neural network
for visual motion detection E. Hanssens, M. Verleysen, J.D. Legat Neuro-Nîmes 92, Nîmes (France), 2-6 November 1992, pp.221-229. |
| 13 | |
A real-time
VLSI-based architecture for multi-motion evaluation J.D. Legat, J.P. Cornil, D. Macq, M. Verleysen 11th IAPR International Conference on Pattern Recognition, Ten Haag (The Netherlands), 30 August - 3 September 1992, pp.147-150. |
| 12 | LVQ-like procedure for
the initialization of the RCE model M. Verleysen, F. Blayo, J.D. Legat Congrès Satellite du Congrès Européen de Mathématiques: Aspects Théoriques des Réseaux de Neurones, Paris (France), 2-3 July 1992, pp.35-45. |
|
| 11 | |
Parallel VLSI-based architecture
for multi-motion estimation J.D. Legat, J.P. Cornil, D. Macq, M. Verleysen SPIE Conference on Applications of Artificial Intelligence, Orlando (USA), 20-24 April 1992, pp.165-171. |
| 10 | |
Setting initial conditions
for the RCE model F. Blayo, M. Verleysen 1st IFIP Working Group 10.6 Workshop, Grenoble (France), 2-3 March 1992, pp.31-35. |
| 9 |
|
Systolic array architecture
for early vision processing J.D. Legat, J.P. Cornil, D. Macq, M. Verleysen ESSCIRC 91, Milan (Italy), 11-13 September 1991, pp.93-96. |
| 8 | Stochastic computations
in VLSI analog neural networks M. Verleysen, P. Jespers Neural Networks in Natural and Artificial Vision, Chamrousse (France), 29-30 January 1991, pp.53-56. |
|
| 7 | |
Precision of sum-of-products
in analog neural networks M. Verleysen, P. Jespers 1st International Workshop on Microelectronics for Neural Networks, Dortmund (Germany), 25-26 June 1990, pp.47-61. |
| 6 | |
A VLSI neural network
with capacitive synapses M. Verleysen, P. Jespers European Conference on Circuit Theory and Design, Brighton (U.K.), 5-8 September 1989, pp.73-77. |
| 5 | |
A capacitive neural network
for associative memory M. Verleysen, D. Martin, P. Jespers 10th Symposium on Information Theory in the Benelux, Houthalen (Belgium), 25-26 May 1989, pp.73-79. |
| 4 |
|
A new VLSI architecture
for large Hopfield's neural networks M. Verleysen, B. Sirletti, P. Jespers ESSCIRC 88, Manchester (U.K.), 21-23 September 1988, pp.343-346. |
| 3 | |
A large VLSI Hopfield
network for pattern recognition problems M. Verleysen, B. Sirletti, P. Jespers 1988 International Neural Network Society Annual Meeting, Boston (USA), 6-10 September 1988, p.414. |
| 2 | |
An algorithm for pattern
recognition with VLSI neural networks B. Sirletti, M. Verleysen, P. Jespers 1988 International Neural Network Society Annual Meeting, Boston (USA), 6-10 September 1988, p.53. |
| 1 | |
A large VLSI fully interconnected
neural network M. Verleysen, B. Sirletti, P. Jespers 1988 Symposium on VLSI circuits, Tokyo (Japan), 22-24 August 1988, pp.27-28. |
| [top of page] | ||
| Edition of scientific books, conference proceedings and journal special issues | ||
|
21st European
Symposium on Artificial Neural Networks, Computational Intelligence
and Machine Learning 2013: Proceedings Editor: Michel Verleysen i6doc.com (Louvain-la-Neuve, Belgium), 978-2-87419-181-0, April 2013, 598 pp. |
|
| 25 | |
Towards Advanced Data Analysis by Combining Soft Computing and Statistics |
| 24 | |
20th European
Symposium on Artificial Neural Networks, Computational Intelligence
and Machine Learning 2012: Proceedings Editor: Michel Verleysen i6doc.com (Louvain-la-Neuve, Belgium), ISBN 978-2-87419-049-0, April 2012, 664 pp. |
| 23 | |
19th European
Symposium on Artificial Neural Networks, Computational Intelligence
and Machine Learning 2011: Proceedings Editor: Michel Verleysen i6doc.com (Louvain-la-Neuve, Belgium), ISBN 978-2-87419-044-5, April 2011, 509 pp. |
| 22 | |
18th European Symposium
on Artificial Neural Networks, Computational Intelligence and Machine
Learning 2010: Proceedings Editor: M. Verleysen d-side publ. (Evere, Belgium), April 2010, ISBN 2-930307-10-2, 568 pp. |
| 21 | |
Similarity-Based Clustering
- Recent Developments and Biomedical Applications Editors: Thomas Villmann,, Michael Biehl, Barbara Hammer, Michel Verleysen Springer Lecture Notes in Artificial Intelligence 5400, 2009, ISBN: 978-3-642-01804-6, 203 pp. |
| 20 | |
17th European Symposium
On Artificial Neural Networks - Advances in Computational Intelligence
and Learning 2009 : Proceedings Editor: M. Verleysen d-side publ. (Evere, Belgium), April 2009, ISBN 2-930307-09-9, 616 pp. |
| 19 | |
16th European Symposium
On Artificial Neural Networks - Advances in Computational Intelligence
and Learning 2008: Proceedings Editor: M. Verleysen d-side publ. (Evere, Belgium), April 2008, ISBN 2-930307-08-0, 555 pp. |
| 18 | |
15th European Symposium
On Artificial Neural Networks - Advances in Computational Intelligence
and Learning 2007: Proceedings Editor: M. Verleysen d-side publ. (Evere, Belgium), April 2007, ISBN 2-930307-07-2, 606 pp. |
| 17 | |
Neural Networks special
issue on "Advances in Self-Organizing Maps", Vol. 19, Nos. 6-7 (July-August 2006). Editors: M. Cottrell, M. Verleysen |
| 16 | |
European Symposium on
Artificial Neural Networks 2006: Proceedings Editor: M. Verleysen d-side publ. (Evere, Belgium), April 2006, ISBN 2-930307-06-4, 687 pp. |
| 15 | |
European Symposium on
Artificial Neural Networks 2005: Proceedings Editor: M. Verleysen d-side publ. (Evere, Belgium), April 2005, ISBN 2-930307-05-6, 621 pp. |
| 14 | |
European Symposium on
Artificial Neural Networks 2004: Proceedings Editor: M. Verleysen d-side publ. (Evere, Belgium), April 2004, ISBN 2-930307-04-8, 587 pp. |
| 13 | |
European Symposium on
Artificial Neural Networks 2003: Proceedings Editor: M. Verleysen d-side publ. (Evere, Belgium), April 2003, ISBN 2-930307-03-X, 557 pp. |
| 12 | |
Neurocomputing, special
issue on "Fundamental and information processing aspects of neurocomputing", Vol. 48, Nos. 1-4, pp. 1-367 (October 2002). Editors: M. Verleysen, J. Vandewalle |
| 11 | |
European Symposium on
Artificial Neural Networks 2002: Proceedings Editor: M. Verleysen d-side publ. (Evere, Belgium), April 2002, ISBN 2-930307-02-1, 532 pp. |
| 10 | |
European Symposium on
Artificial Neural Networks 2001: Proceedings Editor: M. Verleysen D facto publ. (Brussels, Belgium), April 2001, ISBN 2-930307-01-3, 422 pp. |
| 9 | |
European Symposium on
Artificial Neural Networks 2000: Proceedings Editor: M. Verleysen D facto publ. (Brussels, Belgium), April 2000, ISBN 2-930307-00-5, 450 pp. |
| 8 | |
European Symposium on
Artificial Neural Networks 1999: Proceedings Editor: M. Verleysen D facto publ. (Brussels, Belgium), April 1999, ISBN 2-9600049-9-X, 474 pp. |
| 7 | |
European Symposium on
Artificial Neural Networks 1998: Proceedings Editor: M. Verleysen D facto publ. (Brussels, Belgium), April 1998, ISBN 2-9600049-8-1, 432 pp. |
| 6 | |
European Symposium on
Artificial Neural Networks 1997: Proceedings Editor: M. Verleysen D facto publ. (Brussels, Belgium), April 1997, ISBN 2-9600049-7-3, 362 pp. |
| 5 | |
European Symposium on
Artificial Neural Networks 1996: Proceedings Editor: M. Verleysen D facto publ. (Brussels, Belgium), April 1996, ISBN 2-9600049-6-5, 340 pp. |
| 4 | |
European Symposium on
Artificial Neural Networks 1995: Proceedings Editor: M. Verleysen D facto publ. (Brussels, Belgium), April 1995, ISBN 2-9600049-3-0, 382 pp. |
| 3 | Belgian Neural Network
Contact Group: 1994 annual meeting Editors: E. de Bodt, M. Verleysen UCL, November 1994., ISBN 2-9600049-2-2, 144 pp. |
|
| 2 | |
European Symposium on
Artificial Neural Networks 1994: Proceedings Editor: M. Verleysen D facto publ. (Brussels, Belgium), March 1994, ISBN 2-9600049-1-4, 287 pp. |
| 1 | |
European Symposium on
Artificial Neural Networks 1993: Proceedings Editor: M. Verleysen D facto publ. (Brussels, Belgium), March 1993, ISBN 2-9600049-0-6, 243 pp. |
|
Invited talks and conferences (from 2007
only) |
||
| 30 | About the Optimality of Mutual Information for Feature Selection Michel Verleysen ICONIP 2012, 19th International Conference on Neural Information Processing, 12-15 November 2012, Doha (Qatar) |
|
| 29 | Information theoretic feature selection for high-dimensional data analysis Michel Verleysen NC2, New Challenges in Neural Computation, 28 August 2012, Graz (Austria) |
|
| 28 | High-dimensional data analysis: Looking for fast models ? Michel Verleysen ELM 2011, International Symposium on Extreme Learning Machines, 6-8 December 2011, Hangzhou (China) |
|
| 27 | Feature selection for
high-dimensional data analysis Michel Verleysen NCTA 2011, International Conference on Neural Computation Theory and Applications, 24-26 October 2011, Paris (France) |
|
| 26 | Nonlinear Dimensionality
Reduction and Feature Selection Michel Verleysen 12th EANN / 7th AIAI Joint Conference 2011, 15-18 September 2011, Corfu (Greece) |
|
| 25 | Unsupervised dimensionality
reduction:from principal component analysis to modern nonlinear techniques John A. Lee*, Michel Verleysen JDS 2011, 43° Journées de Statistiques, 23-27 May 2011, Gammarth (Tunisia) |
|
| 24 | Data Visualization with
Nonlinear Projections Michel Verleysen Statistique et Informatique pour les Sciences Humaines et Sociales, 6 May 2011, Paris (France) |
|
| 23 | Information theoretic
feature selection for non-standard data Michel Verleysen STATLEARN 2011, Challenging problems in Statistical Learning, 17-18 March 2011, Grenoble (France) |
|
| 22 | Unsupervised dimensionality
reduction:from principal component analysis to modern nonlinear techniques John A. Lee*, Michel Verleysen ERCIM 2010, ERCIM working group on Computing & Statistics, 10-12 December 2010, Senate House, University of London & LSE (United Kingdom) |
|
| 21 | Machine learning for
high-dimensional data: the curse of dimensionality, feature selection
and manifold learning Michel Verleysen CIHC 2010, Computational Intelligence in Healthcare summer school, 20-24 September 2011, Eindhoven (The Netherlands) |
|
| 20 | Nonlinear dimensionality
reduction Michel Verleysen, John A. Lee IDEAL 2010, 11th International Conference on Intelligent Data Engineering and Automated Learning, 1-3 September 2010, Paisley (Scotland, UK) |
|
| 19 | On the Role and Impact
of the Metaparameters in t-distributed Stochastic Neighbor Embedding
John A. Lee, Michel Verleysen COMPSTAT 2010, International Conference on Computational Statistics, 22-27 August 2010, Paris (France) |
|
| 18 | Machine learning for
high-dimensional data Michel Verleysen AIA 2010, Artificial Intelligence and Applications, February 15 – 17, 2010, Innsbruck, Austria |
|
| 17 | Nonlinear dimensionality
reduction and visualization Michel Verleysen, John Lee SFC (Société Française de Classification) 2009, September 2-4, 2009, Grenoble, France |
|
| 16 | A tribute to Jeanny Hérault Michel Verleysen MLSP 2009, Machine Learning for Signal Processing, September 2-4, 2009, Grenoble, France |
|
| 15 | Feature selection Michel Verleysen Soft Computing and Statistics, COST Action IC0702 summer course 2009, July 17-20, 2009, Lisbon, Portugal |
|
| 14 | Nonlinear dimensionality
reduction ", John A. Lee, Michel Verleysen UCL Large Graphs group seminar, Louvain-la-Neuve, Belgium, June 5, 2009 |
|
| 13 | How to assess the quality
of nonlinear dimensionality reduction techniques? John A. Lee, Michel Verleysen Dagstuhl seminar "Similarity-based learning on structures", Dagstuhl (Germany), 15-20 February 2009. |
|
| 12 | The intrusion-extrusion
compromise for the projection and visualization of high-dimensional
data John A. Lee, Michel Verleysen STATIM'09, Colloquium "Statistiques pour le traitement de l’image", Université Paris 1 Panthéon-Sorbonne (France), 22-23 January 2009 |
|
| 11 | High-dimensional Data
Analysis and Feature Selection Michel Verleysen EVIC (Latin-American Summer School on Computational Intelligence) 2008, December 15-17, Santiago, Chile |
|
| 10 | Nonlinear projection Michel Verleysen EVIC (Latin-American Summer School on Computational Intelligence) 2008, December 15-17, Santiago, Chile |
|
| 9 | Parameter-free feature
selection with mutual information Michel Verleysen, Damien François First Workshop of the ERCIM Working Group on Computing & Statistics, Neuchâtel (Switzerland), 19-21 June 2008. |
|
| 8 | Feature selection with
low-dimensional mutual information OR8, Havana 8th International Conference on Operations Research, La Habana (Cuba), 25-29 February 2008. |
|
| 7 | Learning High-Dimensional
Data with Artificial Neural Networks Michel Verleysen University of Groningen, The Netherlands, December 3, 2007 |
|
| 6 | PCA and Mixtures of PCA:
Improving the robustness to outliers Michel Verleysen, Cédric Archambeau Université Paris 1 Panthéon Sorbonne, SAMOS-MATISSE-CES, Paris, France, October 26, 2007 |
|
| 5 | Independent Component
Analysis and Nonlinear Projections Michel Verleysen Artificial Perception doctoral school, Universidad del Pais Vasco, Spain, June 19, 2007. |
|
| 4 | High-dimensional data Michel Verleysen Artificial Perception doctoral school, Universidad del Pais Vasco, Spain, June 18, 2007. |
|
| 3 | Feature selection with
mutual information and resampling Dagstuhl seminar "Similary-based clustering and its application to medicine and biology", Dagstuhl (Germany), 25-30 March 2007. |
|
| 2 | Sélection de variables
par information mutuelle et rééchantillonnage Université Paris 1 Panthéon Sorbonne, SAMOS-MATISSE-CES, Paris (France), 23 February 2007. |
|
| 1 |
Time series prediction and the curse of dimensionality |
|
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