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SST/EPL Ecole polytechnique de Louvain (EPL)

SST/ICTM Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM)

SST/ICTM/ELEN Pôle en ingénierie électrique (ELEN)

2025
Monographie

Lambert, P., Couplet, E., Verleysen, M., & Lee, J. (2025). Neighbour Embeddings: Beyond Visualisation. The Eurographics Association. https://doi.org/10.2312/mlvis.20251156

https://research.dial.uclouvain.be/handle/2078.5/266057


Article de journal

Lee, J., Couplet, E., Lambert, P. H., Merveille, P., Journaux, L., Mulders, D., de Bodt, C., & Verleysen, M. (2025). Improving on early exaggeration in t-SNE: early hierarchization better preserves global structure. Neurocomputing, 1(1), 131882. https://doi.org/10.1016/j.neucom.2025.131882 (Original work published 2025)

https://research.dial.uclouvain.be/handle/2078.5/260709


2024
Article de journal

Couplet, E., Lambert, P., Verleysen, M., Lee, J., & De Bodt, C. (2024). Investigating latent representations and generalization in deep neural networks for tabular data. Neurocomputing, 597C. https://doi.org/10.1016/j.neucom.2024.127967 (Original work published 2024)

https://research.dial.uclouvain.be/handle/2078.5/234715


2023
Article de journal

van den Elzen, S., Andrienko, G., Andrienko, N., Fisher, B. D., Martins, R. M., Peltonen, J., Telea, A. C., & Verleysen, M. (2023). The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. IEEE Computer Graphics and Applications, 43(2), 78-88. (Original work published 2023)

https://research.dial.uclouvain.be/handle/2078.5/254156


Germany Morrison, E., Teixeira, I., Danthine, V., Santalucia, R., Cakiroglu, I., Torres Sánchez, A., Verleysen, M., Delbeke, J., Nonclercq, A., & El Tahry, R. (2023). Functional brain connectivity indexes derived from low-density EEG of pre-implanted patients as VNS outcome predictors. Journal of Neural Engineering, 20(4), 46039. https://doi.org/10.1088/1741-2552/acf1cd (Original work published 2023)

https://research.dial.uclouvain.be/handle/2078.5/238572


Serna-Serna, W., De Bodt, C., Andres M. Alvarez-Meza, Lee, J., Verleysen, M., & Alvaro A. Orozco-Gutierrez. (2023). Semi-supervised t-SNE with multi-scale neighborhood preservation. Neurocomputing, 550(1), 126496. https://doi.org/10.1016/j.neucom.2023.126496 (Original work published 2023)

https://research.dial.uclouvain.be/handle/2078.5/260644


Papier de conférence

Couplet, E., Lambert, P., Verleysen, M., Lee, J., & De Bodt, C. (2023). On the number of latent representations in deep neural networks for tabular data. ESANN proceedings, 1(1), 1-6. https://doi.org/10.14428/esann/2023.ES2023-156 (Original work published 2023)

https://research.dial.uclouvain.be/handle/2078.5/100392


Germany Morrison, E., Teixeira, I., Danthine, V., Verleysen, M., Nonclercq, A., & El Tahry, R. (2023). Exploring graph-derived metrics from functional brain connectivity analyses from PDC and DTF connectomes as VNS outcome predictors. Proceedings of the ILAE 35th International Epilepsy Congress.

https://research.dial.uclouvain.be/handle/2078.5/31914


Couplet, E., Lambert, P., Verleysen, M., Mulders, D., Lee, J., & De Bodt, C. (2023). Natively Interpretable t-SNE. Proceedings of AIMLAI workshop, 1(1), 1-16. (Original work published 2023)

https://research.dial.uclouvain.be/handle/2078.5/100421


2022
Article de journal

Lambert, P., De Bodt, C., Verleysen, M., Lee, J., & et al. (2022). SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. Neurocomputing, 503, 17-27. (Original work published 2022)

https://research.dial.uclouvain.be/handle/2078.5/102813


2021
Article de journal

Degeest, A., Frénay, B., & Verleysen, M. (2021). Reading grid for feature selection relevance criteria in regression. Pattern Recognition Letters, 148, 92-99. https://doi.org/10.1016/j.patrec.2021.04.031 (Original work published 2021)

https://research.dial.uclouvain.be/handle/2078.5/107111


Papier de conférence

Lambert, P., Lee, J., Verleysen, M., & De Bodt, C. (2021). Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. ESANN 2021 proceedings, 435-440.

https://research.dial.uclouvain.be/handle/2078.5/228869


Lambert, P., De Bodt, C., Verleysen, M., & Lee, J. (2021). Stochastic quartet approach for fast multidimensional scaling. ESANN 2021 proceedings, 417-422.

https://research.dial.uclouvain.be/handle/2078.5/228805


2020
Article de journal

De Bodt, C., Mulders, D., Verleysen, M., & Lee, J. (2020). Fast Multiscale Neighbor Embedding. I E E E Transactions on Neural Networks and Learning Systems, 33(4), 1546-1560. https://doi.org/10.1109/TNNLS.2020.3042807 (Original work published 2022)

https://research.dial.uclouvain.be/handle/2078.5/122184


Mulders, D., De Bodt, C., Bjelland, J., Pentland, A., Verleysen, M., & de Montjoye, Y.-A. (2020). Inference of node attributes from social network assortativity. Neural Computing and Applications, 32, 18023-18043. https://doi.org/10.1007/s00521-018-03967-z (Original work published 2020)

https://research.dial.uclouvain.be/handle/2078.5/254010


Papier de conférence

Valy, D., Verleysen, M., & Chhun, S. (2020). Data Augmentation and Text Recognition on Khmer Historical Manuscripts. 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), Dortmund (Germany).

https://research.dial.uclouvain.be/handle/2078.5/254147


Crecchi Francesco, De Bodt, C., Verleysen, M., Lee, J., & Bacciu Davide. (2020). Perplexity-free Parametric t-SNE. ESANN 2020 proceedings, p. 387-392.

https://research.dial.uclouvain.be/handle/2078.5/219779


2019
Papier de conférence

Mulders, D., De Bodt, C., Lejeune, N., Lee, J., Mouraux, A., & Verleysen, M. (2019). Tensor factorization to extract patterns in multimodal EEG data. ESANN 2019 proceedings, 601-606.

https://research.dial.uclouvain.be/handle/2078.5/220363


de Smet, D., Francaux, M., Baijot, L., & Verleysen, M. (2019). MAP Best Performances Prediction for Endurance Runners. 2019 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019), Bruges (Belgium).

https://research.dial.uclouvain.be/handle/2078.5/254171


Degeest, A., Verleysen, M., & Frénay, B. (2019). Comparison Between Filter Criteria for Feature Selection in Regression. Lecture Notes in Computer Science. Published. ICANN 2019, Munich. (Original work published 2019)

https://research.dial.uclouvain.be/handle/2078.5/125967


Degeest, A., Verleysen, M., & Frénay, B. (2019). About Filter Criteria for Feature Selection in Regression. Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science, 11507(48), 579-590. (Original work published 2019)

https://research.dial.uclouvain.be/handle/2078.5/125686


Valy, D., Verleysen, M., & Chhun, S. (2019). Text Recognition on Khmer Historical Documents using Glyph Class Map Generation with Encoder-Decoder Model. Proceedings of ICPRAM 2019, 8. (Original work published 2018)

https://research.dial.uclouvain.be/handle/2078.5/126739


2018
Papier de conférence

Mulders, D., De Bodt, C., Lejeune, N., Mouraux, A., & Verleysen, M. (2018). Linear Periodic Discriminant Analysis of Multidimensional Signals. In Cheng L., Leung A., Ozawa S. (ed.), Neural Information Processing (pp. 476-487). https://doi.org/10.1007/978-3-030-04224-0_41

https://research.dial.uclouvain.be/handle/2078.5/219993


Degeest, A., Verleysen, M., & Frénay, B. (2018). Smoothness Bias in Relevance Estimators for Feature Selection in Regression. IFIPAICT, 519, 285-294. https://doi.org/10.1007/978-3-319-92007-8_25 (Original work published 2018)

https://research.dial.uclouvain.be/handle/2078.5/126759


de Smet, D., Verleysen, M., Francaux, M., & Baijot, L. (2018). Long-Distance Running Routes’ Flat Equivalent Distances from Race Results and Elevation Profiles. Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support. Published. 6th International Congress on Sport Sciences Research and Technology Support, Seville, Spain. https://doi.org/10.5220/0006937000560062

https://research.dial.uclouvain.be/handle/2078.5/221730


Kesiman, M. W. A., Valy, D., Burie, J.-C., Paulus, E., Suryani, M., Hadi, S., Verleysen, M., Chhun, S., & Ogier, J.-M. (2018). ICFHR 2018 Competition On Document Image Analysis Tasks for Southeast Asian Palm Leaf Manuscripts. Proceedings of ICFHR 2018, 483-488. https://doi.org/10.1109/ICFHR-2018.2018.00090 (Original work published 2018)

https://research.dial.uclouvain.be/handle/2078.5/126731


2017
Document de travail

Feraud, B., Munaut, C., Martin, M., Verleysen, M., & Govaerts, B. (2017). Combining strong sparsity and competitive predictive power with the L-sOPLS approach for biomarker discovery in metabolomics (ISBA Discussion Paper 2017/20).

https://research.dial.uclouvain.be/handle/2078.5/176482


Article de journal

Alvarez-Meza, A. M., Lee, J., Verleysen, M., & Castellanos-Dominguez, G. (2017). Kernel-based dimensionality reduction using Renyi’s α-entropy measures of similarity. Neurocomputing, 222, 36-46. https://doi.org/10.1016/j.neucom.2016.10.004 (Original work published 2017)

https://research.dial.uclouvain.be/handle/2078.5/94148


Feraud, B., Munaut, C., Martin, M., Verleysen, M., & Govaerts, B. (2017). Combining strong sparsity and competitive predictive power with the L-sOPLS approach for biomarker discovery in metabolomics. Metabolomics, 13(130), 15. https://doi.org/10.1007/s11306-017-1275-y (Original work published 2017)

https://research.dial.uclouvain.be/handle/2078.5/176542


Feraud, B., Rousseau, R., Tullio, P. d., Verleysen, M., & Govaerts, B. (2017). Independent Component Analysis and Statistical Modelling for the Identification of Metabolomics Biomarkers in 1H-NMR Spectroscopy. Journal of Biometrics & Biostatistics, 8(4 (2017)). https://doi.org/10.4172/2155-6180.1000367 (Original work published 2017)

https://research.dial.uclouvain.be/handle/2078.5/172152


El Mahrsi, M. K., Come, E., Oukhellou, L., & Verleysen, M. (2017). Clustering smart card data for urban mobility analysis. IEEE Transactions on Intelligent Transportation Systems, 18(3), 712-728. https://doi.org/10.1109/tits.2016.2600515 (Original work published 2017)

https://research.dial.uclouvain.be/handle/2078.5/171888


Coelho, F., Castro, C., Braga, A. P., & Verleysen, M. (2017). Semi-supervised relevance index for feature selection. Neural Computing and Applications, 31, 989-997. https://doi.org/10.1007/s00521-017-3062-0 (Original work published 2017)

https://research.dial.uclouvain.be/handle/2078.5/253682


Papier de conférence

Mulders, D., De Bodt, C., Bjelland, J., Pentland, A. S., Verleysen, M., & de Montjoye, Y.-A. (2017). Improving individual predictions using social networks assortativity. The Benelearn 2017 Proceedings, 134-136.

https://research.dial.uclouvain.be/handle/2078.5/227229


Valy, D., Verleysen, M., & SOK, K. (2017). Line Segmentation for Grayscale Text Images of Khmer Palm Leaf Manuscripts. 7th International Conference on Image Processing Theory, Tools & Applications (IPTA), Montréal (Canada).

https://research.dial.uclouvain.be/handle/2078.5/254141


2016
Papier de conférence

Garcia Vega, S., Castellanos-Dominguez, G., Verleysen, M., & Lee, J. (2016). Multi-step-ahead forecasting using kernel adaptive filtering. 2016 International Joint Conference on Neural Networks (IJCNN), 2132-2139. https://doi.org/10.1109/IJCNN.2016.7727463 (Original work published 2016)

https://research.dial.uclouvain.be/handle/2078.5/181377


Valy, D., Verleysen, M., & Sok, K. (2016). Line Segmentation Approach for Ancient Palm Leaf Manuscripts using Competitive Learning Algorithm. 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), Shenzhen (China).

https://research.dial.uclouvain.be/handle/2078.5/254161


de Smet, D., Francaux, M., Hendrickx, J., & Verleysen, M. (2016). Heart rate modelling as a potential physical fitness assessment for runners and cyclists. ECML-PKDD, Riva Del Garda, Italy.

https://research.dial.uclouvain.be/handle/2078.5/229642


2015
Papier de conférence

Degeest, A., Verleysen, M., & Frénay, B. (2015). Feature Ranking in Changing Environments where New Features are Introduced. Proceedings of IJCNN 2015, 1-8. https://doi.org/10.1109/IJCNN.2015.7280533

https://research.dial.uclouvain.be/handle/2078.5/253953


Chuor, P., Verleysen, M., & Valy, D. (2015). Khmer Optical Character Recognition Using Zernike Moment. 2015 Khmer Natural Language Processing annual conference (KNLP 2015), Phnom Penh (Cambodia).

https://research.dial.uclouvain.be/handle/2078.5/253903


Peluffo Ordoñez, D. H., Lee, J., Verleysen, M., Rodriguez, J. L., & Castellanos-Dominguez, G. (2015). Unsupervised relevance analysis for feature extraction and selection. A distance-based approach for feature relevance. 3rd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2014), Angers (France).

https://research.dial.uclouvain.be/handle/2078.5/253913


Chapitre de livre

Peluffo Ordoñez, D. H., Lee, J., Verleysen, M., & Alvarado-Pérez, J. C. (2015). Geometrical homotopy for data visualization. In ESANN 2015 - 23rd Eur. Symp. on Artificial Neural Networks, Computational Intelligence and Machine Learning (p. p. 525-530). D-side.

https://research.dial.uclouvain.be/handle/2078.5/253951


Monographie

Verleysen, M. (2015). 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2015: Proceedings. Michel Verleysen.

https://research.dial.uclouvain.be/handle/2078.5/254021


Article de journal

Frénay, B., & Verleysen, M. (2015). Classification in the Presence of Label Noise: a Survey. I E E E Transactions on Neural Networks and Learning Systems, 25(5), 845-869. https://doi.org/10.1109/TNNLS.2013.2292894 (Original work published 2015)

https://research.dial.uclouvain.be/handle/2078.5/254107


Lee, J., Peluffo-Ordóñez, D. H., & Verleysen, M. (2015). Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. Neurocomputing, 169, 246-261. https://doi.org/10.1016/j.neucom.2014.12.095 (Original work published 2015)

https://research.dial.uclouvain.be/handle/2078.5/190644


Keim, D. A., Munzner, T., Rossi, F., & Verleysen, M. (2015). Bridging Information Visualization with Machine Learning. Dagstuhl Reports, 5(3), 1-27. https://doi.org/10.4230/DagRep.5.3.1 (Original work published 2015)

https://research.dial.uclouvain.be/handle/2078.5/254012


Feraud, B., Govaerts, B., Verleysen, M., & de Tullio, P. (2015). Statistical treatment of 2D NMR COSY spectra in metabolomics: data preparation, clustering-based evaluation of the Metabolomic Informative Content and comparison with 1H-NMR. Metabolomics, 11(6), 1756-1768. https://doi.org/10.1007/s11306-015-0830-7 (Original work published 2015)

https://research.dial.uclouvain.be/handle/2078.5/189152


Bernard, G., Verleysen, M., & Lee, J. (2015). Incremental classification of objects in scenes: Application to the delineation of images. Neurocomputing, 152(1), 45-57. https://doi.org/10.1016/j.neucom.2014.11.020 (Original work published 2015)

https://research.dial.uclouvain.be/handle/2078.5/193771


2014
Article de journal

Bernard, G., Verleysen, M., & Lee, J. (2014). SU-C-18A-03: Automatic Organ at Risk Delineation with Machine Learning Techniques. Medical Physics, 41(6), 101. https://doi.org/10.1118/1.4887830 (Original work published 2014)

https://research.dial.uclouvain.be/handle/2078.5/254004


Frénay, B., Doquire, G., & Verleysen, M. (2014). Estimating Mutual information for feature selection in the presence of label noise. Computational Statistics & Data Analysis, 71, 832-848. https://doi.org/10.1016/j.csda.2013.05.001 (Original work published 2013)

https://research.dial.uclouvain.be/handle/2078.5/253980


Papier de conférence

Peluffo Ordoñez, D. H., Lee, J., & Verleysen, M. (2014). Recent methods for dimensionality reduction: A brief comparative analysis. Proceedings of ESANN 2014, 189-194.

https://research.dial.uclouvain.be/handle/2078.5/253784


Lee, J., & Verleysen, M. (2014). Two key properties of dimensionality reduction methods. Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014), 163-170. https://doi.org/10.1109/CIDM.2014.7008663

https://research.dial.uclouvain.be/handle/2078.5/253904


Diaz, I., Cuadrado, A. A., Pérez, D., Garcia, F. J., & Verleysen, M. (2014). Interactive Dimensionality Reduction for Visual Analytics. Proceedings of ESANN 2014, 183-188.

https://research.dial.uclouvain.be/handle/2078.5/253934


Gustin, L., Durvaux, F., Kerckhof, S., Standaert, F.-X., & Verleysen, M. (2014). Support Vector Machines for Improved IP Detection with Soft Physical Hash Functions. In Emmanuel Prouff (ed.), Proceedings of the 5th International Workshop on Constructive Side-Channel Analysis and Secure Design (COSADE 2014) (p. p. 112-128). Springer. https://doi.org/10.1007/978-3-319-10175-0_9

https://research.dial.uclouvain.be/handle/2078.5/230060


Peluffo Ordoñez, D. H., Lee, J., & Verleysen, M. (2014). Generalized kernel framework for unsupervised spectral methods of dimensionality reduction. Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014), 171-177. https://doi.org/10.1109/CIDM.2014.7008664

https://research.dial.uclouvain.be/handle/2078.5/253842


Lee, J., Peluffo Ordoñez, D. H., & Verleysen, M. (2014). Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction. Proceedings of ESANN 2014, 177-182.

https://research.dial.uclouvain.be/handle/2078.5/253837


Chapitre de livre

Lee, J., & Verleysen, M. (2014). Two key properties of dimensionality reduction methods. In Lee, J.A.; Verleysen, M. (ed.), 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) (p. p. 163-170).

https://research.dial.uclouvain.be/handle/2078.5/181357


Document de travail

Feraud, B., Govaerts, B., Verleysen, M., & de Tullio, P. (2014). Statistical treatment of 2D-NMR COSY spectra: data preparation, clustering-based repeatability evaluation and comparison with 1H-NMR (ISBA Discussion Paper 2014/33).

https://research.dial.uclouvain.be/handle/2078.5/195074


Monographie

Verleysen, M. (2014). 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine learning 2014: Proceedings. Michel Verleysen.

https://research.dial.uclouvain.be/handle/2078.5/253940


2013
Article de journal

Doquire, G., & Verleysen, M. (2013). A graph Laplacian based approach to semi-supervised feature selection for regression problems. Neurocomputing, 121, 5-13. https://doi.org/10.1016/j.neucom.2012.10.028 (Original work published 2013)

https://research.dial.uclouvain.be/handle/2078.5/253924


Frénay, B., Doquire, G., & Verleysen, M. (2013). Is mutual information adequate for feature selection in regression? Neural Networks, 48, 1-7. https://doi.org/10.1016/j.neunet.2013.07.003 (Original work published 2013)

https://research.dial.uclouvain.be/handle/2078.5/254173


Doquire, G., & Verleysen, M. (2013). Mutual information-based feature selection for multilabel classification. Neurocomputing, 122, 148-155. https://doi.org/10.1016/j.neucom.2013.06.035 (Original work published 2013)

https://research.dial.uclouvain.be/handle/2078.5/253972


Eirola, E., Doquire, G., Verleysen, M., & Landasse, A. (2013). Distance estimation in numerical data sets with missing values. Information Sciences, 240, 115-128. https://doi.org/10.1016/j.ins.2013.03.043 (Original work published 2013)

https://research.dial.uclouvain.be/handle/2078.5/253818


de Montjoye, Y.-A., Hidalgo, C. A., Verleysen, M., & Blondel, V. (2013). Unique in the Crowd: The privacy bounds of human mobility. Scientific Reports, 3(1376), 1-5. https://doi.org/10.1038/srep01376 (Original work published 2013)

https://research.dial.uclouvain.be/handle/2078.5/254832


Frénay, B., van Heeswijk, M., Miche, Y., Verleysen, M., & Lendasse, A. (2013). Feature selection for nonlinear models with extreme learning machines. Neurocomputing, 102, 111-124. https://doi.org/10.1016/j.neucom.2011.12.055 (Original work published 2013)

https://research.dial.uclouvain.be/handle/2078.5/253885


Papier de conférence

Renard, E., Dupont, P., & Verleysen, M. (2013). User control for adjusting conflicting objectives in parameter-dependent visualization of data. Workshop on Visual Analytics using Multidimensional Projections (EuroVis 2013), Leipzig (Germany).

https://research.dial.uclouvain.be/handle/2078.5/253892


Bernard, G., Verleysen, M., & Lee, J. (2013). Segmentation with Incremental Classifiers. In A. Petrosino (ed.), Image Analysis and Processing – ICIAP 2013 (p. p. 81-90). Springer. https://doi.org/10.1007/978-3-642-41184-7_9

https://research.dial.uclouvain.be/handle/2078.5/253901


Feraud, B., de Tullio, P., Govaerts, B., & Verleysen, M. (2013). Assessing the repeatability and statistical advantages of homonuclear 2D-NMR spectra: a clustering approach. First Belgian-Netherlands Joint Symposium on Metabolomics, Spa (Belgium).

https://research.dial.uclouvain.be/handle/2078.5/253760


Feraud, B., Govaerts, B., Verleysen, M., & et al. (2013). Assessing the repeatability and statistical advantages of homonuclear 2D-NMR spectra: an innovative clustering approach. 9th Annual International Conference of the Metabolomics Society, Glasgow (UK).

https://research.dial.uclouvain.be/handle/2078.5/253768


Doquire, G., Frénay, B., & Verleysen, M. (2013). Risk Estimation and Feature Selection. Proceedings of European Symposium on Artificial Neural Networks (ESANN 2013), 161-166.

https://research.dial.uclouvain.be/handle/2078.5/254097


Chapitre de livre

Doquire, G., & Verleysen, M. (2013). A Performance Evaluation of Mutual Estimators for Multivariate Feature Selection. In P.L.Carmona et al. (ed.), Pattern Recognition - Applications and Methods (p. p. 51-63). Springer-Verlag. https://doi.org/10.1007/978-3-642-36530-0_5

https://research.dial.uclouvain.be/handle/2078.5/254029


2012
Article de journal

Doquire, G., & Verleysen, M. (2012). Feature selection with missing data using mutual information estimators. Neurocomputing, 90(1), 3-11. https://doi.org/10.1016/j.neucom.2012.02.031 (Original work published 2012)

https://research.dial.uclouvain.be/handle/2078.5/253866


de Lannoy, G., François, D., Delbeke, J., & Verleysen, M. (2012). Weighted conditional random fields for supervised interpatient heartbeat classification. IEEE Transactions on Biomedical Engineering, 59(1), 241-247. https://doi.org/10.1109/TBME.2011.2171037 (Original work published 2012)

https://research.dial.uclouvain.be/handle/2078.5/253906


Papier de conférence

Doquire, G., & Verleysen, M. (2012). A Comparison of Multivariate Mutual Information Estimators for Feature Selection. Proceedings of the 2012 International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012), p. 176-185. https://doi.org/10.5220/0003726101760185

https://research.dial.uclouvain.be/handle/2078.5/253955


Keim, D. A., Rossi, F., Seidl, T., Verleysen, M., & Wrobel, S. (2012). Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Informatik-Spektrum : archive of applied mechanics, 35(4), 311-317. https://doi.org/10.1007/s00287-012-0634-3 (Original work published 2012)

https://research.dial.uclouvain.be/handle/2078.5/254042


Keim, D. A., Rossi, F., Seidl, T., Verleysen, M., & Wrobel, S. (2012). Information Visualization, Visual Data Mining and Machine Learning. In Daniel A.Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel (ed.), Dagstuhl Reports (p. p. 58-83). Dagstuhl Publishing. https://doi.org/10.4230/DagRep.2.2.58

https://research.dial.uclouvain.be/handle/2078.5/254115


Doquire, G., & Verleysen, M. (2012). Handling Imprecise Labels in Feature Selection with Graph Laplacian. Proceedings of the 2012 International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012), p. 162-169. https://doi.org/10.5220/0003712101620169

https://research.dial.uclouvain.be/handle/2078.5/253674


Paul, J., Verleysen, M., & Dupont, P. (2012). The stability of feature selection and class prediction from ensemble tree classifiers. ESANN 2012 The 20 th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Proceedings - Bruges, Belgium from 25 to 27 April 2012 ., 263-268.

https://research.dial.uclouvain.be/handle/2078.5/253918


Monographie

Verleysen, M. (2012). 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2012: Proceedings. i6doc.com.

https://research.dial.uclouvain.be/handle/2078.5/253759


Chapitre de livre

Lee, J., & Verleysen, M. (2012). Graph-Based Dimensionality Reduction. In Olivier Lézoray, Leo Grady (ed.), Image Processing and Analysis with Graphs: Theory and Practice (p. p. 351-382). CRC Press.

https://research.dial.uclouvain.be/handle/2078.5/253732


2011
Papier de conférence

Doquire, G., & Verleysen, M. (2011). Mutual information for feature selection with missing data. Proceedings of the 19th European Symposium on Artificial Neural networks, Computational Intelligence and Machine learning (ESANN 2011), 263-268.

https://research.dial.uclouvain.be/handle/2078.5/253911


Verleysen, M. (2011). Data Visualization with Nonlinear Projections. Statistique et Informatique pour les Sciences Humaines et Sociales, Paris (France).

https://research.dial.uclouvain.be/handle/2078.5/254137


Doquire, G., & Verleysen, M. (2011). Graph Laplacian for Semi-supervised Feature Selection in Regression Problems. In Joan Cabestany (ed.), Advances in Computational Intelligence (p. p. 248-255). Springer. https://doi.org/10.1007/978-3-642-21501-8_31

https://research.dial.uclouvain.be/handle/2078.5/253948


Verleysen, M. (2011). Nonlinear Dimensionality Reduction and Feature Selection. 12th EANN / 7th AIAI Joint Conference 2011, Corfu (Greece).

https://research.dial.uclouvain.be/handle/2078.5/253995


Doquire, G., & Verleysen, M. (2011). Mutual information based feature selection for mixed data. ESANN 2011 Proceedings. 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011), Bruges (Belgium).

https://research.dial.uclouvain.be/handle/2078.5/254102


Doquire, G., & Verleysen, M. (2011). Feature selection with mutual information for uncertain data. Lecture Notes in Computer Science, 6862, 330-341. https://doi.org/10.1007/978-3-642-23544-3_25 (Original work published 2011)

https://research.dial.uclouvain.be/handle/2078.5/253775


Doquire, G., & Verleysen, M. (2011). An hybrid approach to feature selection for mixed categorical and continuous data. International Conference on Knowledge Discovery and Information Retrieval (KDIR 2011), Paris (France).

https://research.dial.uclouvain.be/handle/2078.5/253920


Guerrero-Mosquera, C., Verleysen, M., & Navia Vazquez, A. (2011). Dimensionality Reduction of EEG for Classification using Mutual Information and SVM. Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2011), 1-6. https://doi.org/10.1109/MLSP.2011.6064595

https://research.dial.uclouvain.be/handle/2078.5/253845


Doquire, G., & Verleysen, M. (2011). Mutual information for feature selection with missing data. European Symposium on Artificial Neural Networks (ESANN 2011), Bruges.

https://research.dial.uclouvain.be/handle/2078.5/230838


Lee, J., & Verleysen, M. (2011). Unsupervised dimensionality reduction:from principal component analysis to modern nonlinear techniques. Proceedings des 43e Journées de Statistiques (JDS 2011). 43e Journées de Statistiques (JDS 2011), Gammarth (Tunisia).

https://research.dial.uclouvain.be/handle/2078.5/253805


Hazan, A., Verleysen, M., Cottrell, M., & Lacaille, J. (2011). Bayesian inference for outlier detection in vibration spectra with small learning dataset. Proceedings of Surveillance 6, 2011, 1-15.

https://research.dial.uclouvain.be/handle/2078.5/254205


Lee, J., & Verleysen, M. (2011). Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants. Procedia Computer Science, 4, 538-547. https://doi.org/10.1016/j.procs.2011.04.056 (Original work published 2011)

https://research.dial.uclouvain.be/handle/2078.5/254076


de Lannoy, G., François, D., & Verleysen, M. (2011). Class-Specific Feature Selection for One-Against-All Multiclass SVMs. ESANN 2011 Proceedings, p. 269-274.

https://research.dial.uclouvain.be/handle/2078.5/253905


Frénay, B., de Lannoy, G., & Verleysen, M. (2011). Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs. Lecture Notes in Computer Science, 6911, 455-470. https://doi.org/10.1007/978-3-642-23780-5 (Original work published 2011)

https://research.dial.uclouvain.be/handle/2078.5/253733


Verleysen, M. (2011). High-dimensional data analysis: Looking for fast models ? Proceedings of the International Symposium on Extreme Learning Machines (ELM 2011). International Symposium on Extreme Learning Machines (ELM 2011), Hangzhou (China).

https://research.dial.uclouvain.be/handle/2078.5/253824


Verleysen, M. (2011). Machine learning for high-dimensional data: the curse of dimensionality, feature selection and manifold learning. Proceedings of the Computational Intelligence in Healthcare summer school (CIHC 2010). Computational Intelligence in Healthcare summer school (CIHC 2011), Eindhoven (The Netherlands).

https://research.dial.uclouvain.be/handle/2078.5/253908


Verleysen, M. (2011). Information theoretic feature selection for non-standard data. STATLEARN 2011, Challenging problems in Statistical Learning, Grenoble (France).

https://research.dial.uclouvain.be/handle/2078.5/253878


Verleysen, M. (2011). Feature selection for high-dimensional data analysis. 2011 International Conference on Neural Computation Theory and Applications (NCTA 2011), Paris (France).

https://research.dial.uclouvain.be/handle/2078.5/253699


Chapitre de livre

François, D., Wertz, V., & Verleysen, M. (2011). Choosing the Metric: A Simple Model Approach. In Norbert Jankowski (ed.), Meta-Learning in Computational Intelligence (p. p. 97-115). Springer. https://doi.org/10.1007/978-3-642-20980-2_3

https://research.dial.uclouvain.be/handle/2078.5/253882


Monographie

Verleysen, M. (2011). ESANN 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2011: Proceedings. i6doc.com.

https://research.dial.uclouvain.be/handle/2078.5/253975


2010
Papier de conférence

Miché, Y., Eirola, E., Bas, P., Simula, O., Jutten, C., Lendasse, A., & Verleysen, M. (2010). Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010), p. 19-24.

https://research.dial.uclouvain.be/handle/2078.5/253705


Coelho, F., Braga, A. P., & Verleysen, M. (2010). Multi-Objective Semi-supervised Feature Selection and Model Selection based on Pearson’s Correlation Coefficient. Lecture Notes in Computer Science, 6419, 509-516. (Original work published 2010)

https://research.dial.uclouvain.be/handle/2078.5/253729


Lee, J., & Verleysen, M. (2010). Unsupervised Dimensionality Reduction: Overview and Recent Advances. Proceedings of the International Joint Conference on Neural Networks (IJCNN 2010), p. 4163-4170.

https://research.dial.uclouvain.be/handle/2078.5/253742


de Lannoy, G., François, D., Delbeke, J., & Verleysen, M. (2010). Feature relevance assessment in automatic inter-patient heart beat classification. Proceedings of the 3rd International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2010), p. 13-20.

https://research.dial.uclouvain.be/handle/2078.5/254109


Onclinx, V., Lee, J., Wertz, V., & Verleysen, M. (2010). Dimensionality reduction by rank preservation. Proceedings of the 2010 International Joint Conference on Neural Networks (IJCNN 2010), 1599-1606. https://doi.org/10.1109/IJCNN.2010.5596347

https://research.dial.uclouvain.be/handle/2078.5/253962


Verleysen, M., & Lee, J. (2010). Nonlinear dimensionality reduction. Proceedings of the 11th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2010). 11th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2010), Paisley (Scotland, UK).

https://research.dial.uclouvain.be/handle/2078.5/253849


Verleysen, M. (2010). Machine learning for high-dimensional data. Proceedings of Artificial Intelligence and Applications (AIA 2010). Artificial Intelligence and Applications (AIA 2010), Innsbruck (Austria).

https://research.dial.uclouvain.be/handle/2078.5/253745


Hazan, A., Verleysen, M., Cottrell, M., & Lacaille, J. (2010). Linear smoothing of FRF for aicraft engine vibration monitoring. Proceedings of the International Conference on Noise and vibration Engineering (ISMA 2010), p. 2857-2868.

https://research.dial.uclouvain.be/handle/2078.5/253871


Wismueller, A., Verleysen, M., Aupetit, M., & Lee, J. (2010). Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010), p. 71-80.

https://research.dial.uclouvain.be/handle/2078.5/254098


Monographie

Verleysen, M. (2010). 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2010: Proceedings. d-side publ.

https://research.dial.uclouvain.be/handle/2078.5/253879


Article de journal

Lee, J., & Verleysen, M. (2010). Scale-independent quality criteria for dimensionality reduction. Pattern Recognition Letters, 31(14), 2248-2257. https://doi.org/10.1016/j.patrec.2010.04.013 (Original work published 2010)

https://research.dial.uclouvain.be/handle/2078.5/253702


2009
Monographie

Verleysen, M. (2009). 17th European Symposium On Artificial Neural Networks - Advances in Computational Intelligence and Learning 2009 : Proceedings. d-side publ.

https://research.dial.uclouvain.be/handle/2078.5/253988


Verleysen, M. (2009). Similarity-Based Clustering - Recent Developments and Biomedical Applications. Thomas Villmann, Michael Biehl, Barbara Hammer, Michel Verleysen.

https://research.dial.uclouvain.be/handle/2078.5/254106


Papier de conférence

De Decker, A., Lee, J., & Verleysen, M. (2009). Variance Stabilizing Transformations in Patch-Based Bilateral Filters for Poisson Noise Image Denoising. Proceedings of EMBC 2009, International Conference of the IEEE Engineering in Medicine and Biology Society, p. 3673-3676.

https://research.dial.uclouvain.be/handle/2078.5/253730


Verleysen, M. (2009). Feature selection. Soft Computing and Statistics, COST Action IC0702 summer course 2009, Lisbon (Portugal).

https://research.dial.uclouvain.be/handle/2078.5/254149


Verleysen, M., & Lee, J. (2009). Nonlinear dimensionality reduction. UCL Large Graphs group seminar, Louvain-la-Neuve (Belgium).

https://research.dial.uclouvain.be/handle/2078.5/254112


Lee, J. A., De Decker, A., & Verleysen, M. (2009). Adaptive anisotropic denoising: a bootstrapped procedure. Proceedings of the 17th European Symposium on Artificail Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009), p. 101-106.

https://research.dial.uclouvain.be/handle/2078.5/254134


Lee, J., & Verleysen, M. (2009). Simbed: similarity-based embedding. In Alippi, C.; Polycarpou, M.; Ellinas, G.; Panayiotou, C.; (ed.), Lecture Notes in Computer Science (pp. 95-104). Springer verlag. https://doi.org/10.1007/978-3-642-04277-5_10

https://research.dial.uclouvain.be/handle/2078.5/254123


De Decker, A., Lee, J., & Verleysen, M. (2009). Patch-Based Bilateral Filter and Local M-Smoother for Image Denoising. Proceedings of the 17th European Symposium on Artifician Neural Networks - Advances in Computational Intellignece and Learning (ESANN 2009), p. 95-100.

https://research.dial.uclouvain.be/handle/2078.5/253928


Thomas, I., Frankhauser, P., Frénay, B., & Verleysen, M. (2009). Clustering fractal urban patterns with curves of scaling behavior. Proceedings of the 49th Congress of the European Regional Science Association “Territorial cohesion of Europe and integrative planning” (ERSA 2009), 71.

https://research.dial.uclouvain.be/handle/2078.5/253716


de Lannoy, G., Costecalde, T., Marin, J., Verleysen, M., & Delbeke, J. (2009). Elimination of electrocardiogram contamination from vagus nerve recordings using ICA. Proceedings of the 14th Annual International FES Society Conference (IFESS 2009), p. 109-111.

https://research.dial.uclouvain.be/handle/2078.5/253925


Azan, A., Verleysen, M., & Cottrell, M. (2009). Random model of vibrations for Foreign Object Damage detection in a civil aircraft engine. Proceedings of MLA 2009, Machine Learning for Aerospace International Workshop, p. 149-152.

https://research.dial.uclouvain.be/handle/2078.5/254191


Frankhauser, P., Frénay, B., Thomas, I., & Verleysen, M. (2009). Clustering patterns of urban builtup areas with curves of fractal scaling behavior. ASRDLF 2009, Association de Science Régionale de Langue Française, Clermont-Ferrand (France).

https://research.dial.uclouvain.be/handle/2078.5/253820


Lee, J., & Verleysen, M. (2009). The intrusion-extrusion compromise for the projection and visualization of high-dimensional data. Colloquium “Statistiques pour le traitement de l’image” (STATIM 2009), Université Paris 1 Panthéon-Sorbonne (France).

https://research.dial.uclouvain.be/handle/2078.5/254169


Chapitre de livre

de Lannoy, G., De Decker, A., & Verleysen, M. (2009). A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs. In Ana Fred (ed.), Biomedical Engineering Systems and Technologies (p. p. 256-264). Springer.

https://research.dial.uclouvain.be/handle/2078.5/254009


Verleysen, M., Rossi, F., & François, D. (2009). Advances in Feature Selection with Mutual Information. In Thomas Villmann (ed.), Similarity-Based Clustering (p. p. 52-69). Springer.

https://research.dial.uclouvain.be/handle/2078.5/254034


Article de journal

Lee, J., & Verleysen, M. (2009). Quality assessment of dimensionality reduction: Rank-based criteria. Neurocomputing, 72(7-9), 1431-1443. https://doi.org/10.1016/j.neucom.2008.12.017 (Original work published 2009)

https://research.dial.uclouvain.be/handle/2078.5/253853


Gomez-Verdejo, V., Verleysen, M., & Fleury, J. (2009). Information-theoretic feature selection for functional data classification. Neurocomputing, 72(16-18), 3580-3589. https://doi.org/10.1016/j.neucom.2008.12.035 (Original work published 2009)

https://research.dial.uclouvain.be/handle/2078.5/253767


2008
Papier de conférence

Rui Nian, Guangrong Ji, & Verleysen, M. (2008). An Alternative to Center-based Clustering Algorithm via Statistical Learning Analysis. Advanced Intelligent Computing Theories and Applications With Aspects of Artificial Intelligence., p. 693-700. https://doi.org/10.1007/978-3-540-85984-0_83

https://research.dial.uclouvain.be/handle/2078.5/222855


de Lannoy, G., Frénay, B., Verleysen, M., & Delbeke, J. (2008). Supervised ECG Delineation Using the Wavelet Transform and Hidden Markov Models. In Vander Sloten, J.; Nyssen, M.; Verdonck, P.; Haueisen, J.; (ed.), Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008) (pp. 22-25). Springer verlag.

https://research.dial.uclouvain.be/handle/2078.5/230835


Lee, J., & Verleysen, M. (2008). Quality Assessment of nonlinear dimensionality reduction based on K-ary neighborhood. Journal of Machine Learning Research: Workshop and Conference proceedings, 4, 21-35. (Original work published 2008)

https://research.dial.uclouvain.be/handle/2078.5/254128


Verleysen, M., & François, D. (2008). Parameter-free feature selection with mutual information. Proceedings of the first workshop of the ERCIM Working Group on Computing and Statistics, p. 13.

https://research.dial.uclouvain.be/handle/2078.5/254139


Rui Nian, Guangrong Ji, & Verleysen, M. (2008). An unsupervised Gaussian mixture classification mechanism based on statistical learning analysis. Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2008), 14-18. https://doi.org/10.1109/FSKD.2008.333

https://research.dial.uclouvain.be/handle/2078.5/230045


de Lannoy, G., De Decker, A., & Verleysen, M. (2008). A supervised learning approach based on the continuous wavelet transform for R spike detection in ECG. Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2008), 140-145.

https://research.dial.uclouvain.be/handle/2078.5/230326


Frénay, B., de Lannoy, G., & Verleysen, M. (2008). Emission Modelling for Supervised ECG Segmentation using Finite Differences. In Vander Sloten, J.; Nyssen, M.; Verdonck, P.; Haueisen, J.; (ed.), Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering - MBEC 2008 (p. p. 1212-1216). Springer verlag.

https://research.dial.uclouvain.be/handle/2078.5/223553


François, D., Krier, C., Rossi, F., & Verleysen, M. (2008). Estimation de redondance pour le clustering de variables spectrales. Proceedings of the 10th European Symposium on Statistical Methods for the Food Industry (AGROSTAT 2008), p. 55-61.

https://research.dial.uclouvain.be/handle/2078.5/254148


Verleysen, M. (2008). High-dimensional Data Analysis and Feature Selection. EVIC (Latin-American Summer School on Computational Intelligence), Santiago (Chile).

https://research.dial.uclouvain.be/handle/2078.5/254172


Verleysen, M. (2008). Nonlinear projection. EVIC (Latin-American Summer School on Computational Intelligence) 2008, Santiago (Chile).

https://research.dial.uclouvain.be/handle/2078.5/254162


Verleysen, M. (2008). Feature selection with low-dimensional mutual information. Proceedings of the 8th International Conference on Operations Research (OrHavana 2008). 8th International Conference on Operations Research (OrHavana 2008), Havana (Cuba).

https://research.dial.uclouvain.be/handle/2078.5/254170


Garcia-Laencina, P., Sancho-Gomez, J.-L., Figueiras-Vidal, A. R., & Verleysen, M. (2008). K-nearest neighbours based on mutual information for incomplete data classification. Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN 2008), p. 25-30.

https://research.dial.uclouvain.be/handle/2078.5/254140


Article de journal

Archambeau, C., Delannay, N., & Verleysen, M. (2008). Mixtures of robust probabilistic principal component analyzers. Neurocomputing, 71(7-9), 1274-1282. https://doi.org/10.1016/j.neucom.2007.11.029 (Original work published 2008)

https://research.dial.uclouvain.be/handle/2078.5/76249


de Lannoy, G., Marin, J., Verleysen, M., & Delbeke, J. (2008). Filtering Heart Related Activity from Vagus Nerve Recordings in Rats. Biomedical Technology.

https://research.dial.uclouvain.be/handle/2078.5/254127


Assenza, A., Valle, M., & Verleysen, M. (2008). A Comparative Study of Various Probability Density Estimation Methods for Data Analysis. International Journal of Computational Intelligence Systems, 1(2), 188-201. https://doi.org/10.1080/18756891.2008.9727616 (Original work published 2008)

https://research.dial.uclouvain.be/handle/2078.5/36825


Krier, C., Rossi, F., François, D., & Verleysen, M. (2008). A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis. Chemometrics and Intelligent Laboratory Systems, 91(1), 43-53. https://doi.org/10.1016/j.chemolab.2007.09.004 (Original work published 2008)

https://research.dial.uclouvain.be/handle/2078.5/148082


Mujica, L. E., Vehi, J., Ruiz, M., Verleysen, M., Staszewski, W., & Worden, K. (2008). Multivariate statistics process control for dimensionality reduction in structural assessment. Mechanical Systems and Signal Processing, 22(1), 155-171. https://doi.org/10.1016/j.ymssp.2007.05.001 (Original work published 2008)

https://research.dial.uclouvain.be/handle/2078.5/74768


Pham, D.-T., Vrins, F., & Verleysen, M. (2008). On the risk of using Renyi’s entropy for blind source separation. IEEE Transactions on Signal Processing, 56(10), 4611-4620. https://doi.org/10.1109/TSP.2008.928109 (Original work published 2008)

https://research.dial.uclouvain.be/handle/2078.5/253859


Lee, J., Vrins, F., & Verleysen, M. (2008). Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition. Neurocomputing, 72(1-3), 47-56. https://doi.org/10.1016/j.neucom.2007.12.047 (Original work published 2008)

https://research.dial.uclouvain.be/handle/2078.5/90855


Delannay, N., & Verleysen, M. (2008). Collaborative filtering with interlaced generalized linear models. Neurocomputing, 71(7-9), 1300-1310. https://doi.org/10.1016/j.neucom.2007.12.021 (Original work published 2008)

https://research.dial.uclouvain.be/handle/2078.5/69906


Chapitre de livre

Biga Diambeidou, M., François, D., Gailly, B., Verleysen, M., & Wertz, V. (2008). An empirical taxonomy of start-up firms growth trajectories. In Fayolle A. et Kyro P. (ed.), The Dynamics between Entrepreneurship, Environment and Education (p. p. 193-220). Edward Elgar.

https://research.dial.uclouvain.be/handle/2078.5/152970


Monographie

Verleysen, M. (2008). 16th European Symposium On Artificial Neural Networks - Advances in Computational Intelligence and Learning 2008: Proceedings. d-side publ.

https://research.dial.uclouvain.be/handle/2078.5/254007


2007
Papier de conférence

Verleysen, M. (2007). Feature selection with mutual information and resampling. Dagstuhl seminar “Similary-based clustering and its application to medicine and biology”, Dagstuhl (Germany).

https://research.dial.uclouvain.be/handle/2078.5/253861


Delannay, N., & Verleysen, M. (2007). Collaborative filtering with interlaced Generalized Linear Models. Proceedings of the 2007 European Symposium on Artificial Neural Networks (ESANN 2007), p. 247-252.

https://research.dial.uclouvain.be/handle/2078.5/231682


Verleysen, M. (2007). Independent Component Analysis and Nonlinear Projections. Artificial Perception doctoral school, Universidad del Pais Vasco (Spain).

https://research.dial.uclouvain.be/handle/2078.5/253723


François, D., Krier, C., Rossi, F., & Verleysen, M. (2007). Estimation de redondance conditionnelle par information mutuelle, application au clustering de variables spectrales. Proceedings de Chimiométrie 2007, p. 43-46.

https://research.dial.uclouvain.be/handle/2078.5/253959


Gomez-Verdejo, V., Verleysen, M., & Fleury, J. (2007). Information-theoretic feature selection for the classification of hysteresis curves. In Francisco Sandoval et al. eds. (ed.), International Work-Conference on Artificial Neural Networks (IWANN ’07) (pp. 522-529). Springer-Verlag.

https://research.dial.uclouvain.be/handle/2078.5/254154


Diambeidou, M. B., Verleysen, M., & Gailly, B. (2007). Une Taxonomie des Trajectoires de Croissance Initiale des jeunes Entreprises. Proceedings du Vème Congrès International de l’Académie de l’Entrepreneuriat, 27 pages.

https://research.dial.uclouvain.be/handle/2078.5/225934


Diambeidou, M. B., Wertz, V., Verleysen, M., Gailly, B., & François, D. (2007). An Empirical Taxonomy of Start-Up Firms Growth Trajectories. The OECD Entrepreneurship Indicators Programme : Workshop on the Measurement of High-Growth Enterprises, 28. (Original work published 2007)

https://research.dial.uclouvain.be/handle/2078.5/253719


Dablemont, S., Van Bellegem, S., & Verleysen, M. (2007). Forecasting high and low of financial time series by particle filters and Kalman filters.

https://research.dial.uclouvain.be/handle/2078.5/254101


De Decker, A., de Lannoy, G., & Verleysen, M. (2007). Functional SOM for variable-length signal windows. Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM 2007), p. 6 pages.

https://research.dial.uclouvain.be/handle/2078.5/253952


Verleysen, M. (2007). Sélection de variables par information mutuelle et rééchantillonnage. SAMOS-MATISSE-CES, Université Paris 1 Panthéon-Sorbonne (France).

https://research.dial.uclouvain.be/handle/2078.5/253966


Verleysen, M., & Archambeau, C. (2007). PCA and Mixtures of PCA: Improving the robustness to outliers. SAMOS-MATISSE-CES, Université Paris 1 Panthéon-Sorbonne (France).

https://research.dial.uclouvain.be/handle/2078.5/254163


Archambeau, C., Delannay, N., & Verleysen, M. (2007). Mixtures of robust probabilistic principal component analyzers. Proceedings of the 2007 European Symposium on Artificial Neural Networks (ESANN 2007), p. 229-234.

https://research.dial.uclouvain.be/handle/2078.5/253909


Verleysen, M. (2007). Learning High-Dimensional Data with Artificial Neural Networks.

https://research.dial.uclouvain.be/handle/2078.5/253725


Article de journal

Simon, G., Lee, J., Cottrell, M., & Verleysen, M. (2007). Forecasting the CATS benchmark with the Double Vector Quantization method. Neurocomputing, 70(13-15), 2400-2409. https://doi.org/10.1016/j.neucom.2005.12.137 (Original work published 2007)

https://research.dial.uclouvain.be/handle/2078.5/134640


Archambeau, C., & Verleysen, M. (2007). Robust Bayesian clustering. Neural Networks, 20(1), 129-138. https://doi.org/10.1016/j.neunet.2006.06.009 (Original work published 2007)

https://research.dial.uclouvain.be/handle/2078.5/253798


Vrins, F., Pham, D.-T., & Verleysen, M. (2007). Mixing and non-mixing local minima of the entropy contrast for blind source separation. IEEE Transactions on Information Theory, 53(3), 1030-1042. https://doi.org/10.1109/TIT.2006.890716 (Original work published 2007)

https://research.dial.uclouvain.be/handle/2078.5/93212


Lendasse, A., Oja, E., Simula, O., & Verleysen, M. (2007). Time series prediction competition: The CATS benchmark. Neurocomputing, 70(13-15), 2325-2329. https://doi.org/10.1016/j.neucom.2007.02.013 (Original work published 2007)

https://research.dial.uclouvain.be/handle/2078.5/134637


Biga Diambeidou, M., Wertz, V., Verleysen, M., Janssen, F., Gailly, B., & François, D. (2007). Les trajectoires de croissance des jeunes entreprises. Management & Prospective, 24(3), 83-102. (Original work published 2007)

https://research.dial.uclouvain.be/handle/2078.5/138747


Caetano, S., Krier, C., Verleysen, M., & Heyden, Y. V. (2007). Modelling the quality of enantiomeric separations using Mutual Information as an alternative variable selection technique. Analytica Chimica Acta, 602(1), 37-46. https://doi.org/10.1016/j.aca.2007.08.048 (Original work published 2007)

https://research.dial.uclouvain.be/handle/2078.5/44113


François, D., Rossi, F., Wertz, V., & Verleysen, M. (2007). Resampling methods for parameter-free and robust feature selection with mutual information. Neurocomputing, 70(7-9), 1265-1275. https://doi.org/10.1016/j.neucom.2006.11.019 (Original work published 2007)

https://research.dial.uclouvain.be/handle/2078.5/253870


Rossi, F., François, D., Wertz, V., Meurens, M., & Verleysen, M. (2007). Fast selection of spectral variables with B-spline compression. Chemometrics and Intelligent Laboratory Systems, 86(2), 208-218. https://doi.org/10.1016/j.chemolab.2006.06.007 (Original work published 2007)

https://research.dial.uclouvain.be/handle/2078.5/139371


Monographie

Lee, J., & Verleysen, M. (2007). Nonlinear dimensionality reduction. Springer.

https://research.dial.uclouvain.be/handle/2078.5/254013


Document de travail

Dablemont, S., Van Bellegem, S., & Verleysen, M. (2007). Modelling and Forecasting financial time series of «tick data» by functional analysis and neural networks.

https://research.dial.uclouvain.be/handle/2078.5/249334


Chapitre de livre

Vrins, F., Dinh-Tuan Pham, & Verleysen, M. (2007). Is the general form of Renyi’s entropy a contrast for source separation? In Davies, M.E.; James, C.; Davies, M.; Abdallah, S.; Plumbley, M. (ed.), Independent Component Analysis and Signal Separation, ICA 2007 (pp. 129-136). Springer.

https://research.dial.uclouvain.be/handle/2078.5/92311


2006
Papier de conférence

Simon, G., & Verleysen, M. (2006). Lag selection for regression models using high-dimensional mutual information. Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN 2006), 395-400.

https://research.dial.uclouvain.be/handle/2078.5/22056


Delannay, N., Archambeau, C., & Verleysen, M. (2006). Automatic adjustment of discriminant adaptive nearest neighbor. In Tang, Y.Y.; Wang, S.P.; Lorette, G.L.; Yeung, D.S.; Yan, H.; (ed.), Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006) (p. 4 pages). IEEE comput. soc.

https://research.dial.uclouvain.be/handle/2078.5/253979


Biga Diambeidou, M., Wertz, V., Verleysen, M., Gailly, B., & François, D. (2006). Empirical Taxonomy of Start-Up Firms Growth Trajectories. Proceedings of the European Summer University Conference on Entrepreneurship and Entrepreneurship Education Research (ESUCO 2006), 506-530.

https://research.dial.uclouvain.be/handle/2078.5/139120


Caetano, S., Krier, C., Verleysen, M., & Vander Heyden, Y. (2006). Mutual Information for the selection of variables to model enantioselectivity. Proceedings of the 4th International Chemometrics Research Symposium (ICRM 2006). 4th International Chemometrics Research Symposium (ICRM 2006), Veldhoven (the Netherlands).

https://research.dial.uclouvain.be/handle/2078.5/254067


Rossi, F., François, D., Wertz, V., & Verleysen, M. (2006). A functional approach to variable selection in spectrometric problems. Lecture Notes in Computer Science, 4131, 11-20. https://doi.org/10.1007/11840817_2 (Original work published 2006)

https://research.dial.uclouvain.be/handle/2078.5/139870


Dablemont, S., Verleysen, M., & Van Bellegem, S. (2006). Modelling and Forecasting financial time series of “tick data”. Proceedings of the 26th International Sysmposium on Forecasting (ISF 2006), p. 60.

https://research.dial.uclouvain.be/handle/2078.5/254152


Krier, C., François, D., & Verleysen, M. (2006). Une approche orientée données pour la projection de variables spectrales en spectrométrie. Proceedings de Chimiométrie 2006, p. 53-59.

https://research.dial.uclouvain.be/handle/2078.5/254131


Lee, J., Vrins, F., & Verleysen, M. (2006). Non-Orthogonal Support-Width ICA. Proceedings the 14th European Symposium on Artificial Neural Networks (ESANN 2006), p. 351-358.

https://research.dial.uclouvain.be/handle/2078.5/254168


Herrera, L. J., Pomares, H., Rojas, I., Verleysen, M., & Guilen, A. (2006). Effective input variable selection for function approximation. Lecture Notes in Computer Science, 4131, 41-50. https://doi.org/10.1007/11840817_5 (Original work published 2006)

https://research.dial.uclouvain.be/handle/2078.5/64634


Lendasse, A., Corona, F., Hao, J., Reyhani, N., & Verleysen, M. (2006). Determination of the Mahalanobis matrix using nonparametric noise estimations. Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN 2006), p. 227-232.

https://research.dial.uclouvain.be/handle/2078.5/254143


Caetano, S., Krier, C., Verleysen, M., & Vander Heyden, Y. (2006). Modélisation de la qualité des séparations énantiomériques utilisant le critère d’information mutuelle. Proceedings de Chimiométrie 2006, p. 170-173.

https://research.dial.uclouvain.be/handle/2078.5/254073


Sameni, R., Vrins, F., Parmentier, F., Vigneron, V., Verleysen, M., Jutten, C., Shamsollahi, M. B., & Hérail, C. (2006). Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria. Proceedings of MaxEnt 2006. 26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2006), CNRS (Paris/France).

https://research.dial.uclouvain.be/handle/2078.5/254049


Chapitre de livre

Vrins, F., & Verleysen, M. (2006). Minimum support ICA using order statistics. Part II: Performance analysis. In J. Rosca, D. Erdogmus, J. Principe and S. Haykin (ed.), Independent Component Analysis and Blind Signal Sepration, ICA 2006 (pp. 270-277). Springer-Verlag. https://doi.org/10.1007/11679363_34

https://research.dial.uclouvain.be/handle/2078.5/253764


Vrins, F., Erdogmus, D., Jutten, C., & Verleysen, M. (2006). Zero-entropy minimization for blind extraction of bounded sources (BEBS). In J. Rosca, D. Erdogmus, J. Principe and S. Haykin (ed.), Independent Component Analysis and Blind Signal Sepration, ICA 2006 (pp. 747-754). Springer-Verlag. https://doi.org/10.1007/11679363_93

https://research.dial.uclouvain.be/handle/2078.5/88747


Vrins, F., & Verleysen, M. (2006). Minimum support ICA using order statistics. Part I: Quasi-range based support estimation. In J. Rosca, D. Erdogmus, J. Principe and S. Haykin (ed.), Independent Component Analysis and Blind Signal Sepration, ICA 2006 (pp. 262-269). Springer-Verlag. https://doi.org/10.1007/11679363_33

https://research.dial.uclouvain.be/handle/2078.5/253816


Article de journal

Cottrell, M., & Verleysen, M. (2006). Advances in self-organizing maps - Introduction. Neural Networks, 19(6-7), 721-722. https://doi.org/10.1016/j.neunet.2006.05.011 (Original work published 2006)

https://research.dial.uclouvain.be/handle/2078.5/40709


Simon, G., Lee, J., & Verleysen, M. (2006). Unfolding preprocessing for meaningful time series clustering. Neural Networks, 19(6-7), 877-888. https://doi.org/10.1016/j.neunet.2006.05.020 (Original work published 2006)

https://research.dial.uclouvain.be/handle/2078.5/253799


Monographie

Verleysen, M. (2006). Neural Networks special issue on “Advances in Self-Organizing Maps” (Vol. 19, Nos. 6-7 (July-August 2006)). M. Cottrell, M. Verleysen.

https://research.dial.uclouvain.be/handle/2078.5/253709


2005
Papier de conférence

de Marneffe, M.-C., Archambeau, C., Dupont, P., & Verleysen, M. (2005). Local Vector-based Models for Sense Discrimination. Proceedings of IWCS 2005, 6th International Workshop on Computational Semantics, Tilburg (the Netherlands).

https://research.dial.uclouvain.be/handle/2078.5/253833


Lendasse, A., Ji, J., Reyhani, N., & Verleysen, M. (2005). LS-SVM hyperparameter selection with a nonparametric noise estimator. Lecture Notes in Computer Science, 3697, 625-630. (Original work published 2005)

https://research.dial.uclouvain.be/handle/2078.5/254011


Lendasse, A., Simon, G., Wertz, V., & Verleysen, M. (2005). Fast bootstrap methodology for regression model selection. Neurocomputing, 64, 161-181. https://doi.org/10.1016/j.neucom.2004.11.017 (Original work published 2005)

https://research.dial.uclouvain.be/handle/2078.5/140648


Simon, G., Lee, J., & Verleysen, M. (2005). On the need of unfolding preprocessing for time series clustering. Proceedings the 5th Workshop on Self-Organizing Maps (WSOM 2005), p. 251-258.

https://research.dial.uclouvain.be/handle/2078.5/254157


Lee, J., Vrins, F., & Verleysen, M. (2005). A simple ICA algorithm for non-differentiable contrasts. Proceedings of EUSIPCO 2005, 1412: 1-4.

https://research.dial.uclouvain.be/handle/2078.5/253679


Archambeau, C., & Verleysen, M. (2005). Manifold constrained finite Gaussian mixtures. Lecture Notes in Computer Science, 3512, 820-828. (Original work published 2005)

https://research.dial.uclouvain.be/handle/2078.5/140508


François, D., Wertz, V., & Verleysen, M. (2005). Non Euclidean metrics for similarity search in noisy datasets. Proceedings of ESANN 2005, 13h European Symposium on Artificial Neural Networks, p. 339-344.

https://research.dial.uclouvain.be/handle/2078.5/253831


Lendasse, A., François, D., Wertz, V., & Verleysen, M. (2005). Estimation non paramétrique de bruit pour la construction de modèles non linéaires en spectrométrie. Proceedings de Chimiométrie 2005, p. 143-146.

https://research.dial.uclouvain.be/handle/2078.5/254199


Simon, G., Lendasse, A., Cottrell, M., Fort, J., & Verleysen, M. (2005). Time series forecasting: Obtaining long term trends with self-organizing maps. Pattern Recognition Letters, 25(12), 1795-1808. https://doi.org/10.1016/j.patrec.2005.03.002 (Original work published 2005)

https://research.dial.uclouvain.be/handle/2078.5/253750


Lee, J., & Verleysen, M. (2005). Generalisation of the LP norm for time series and its application to Self-Organizing Maps. Proceedings of WSOM 2005, 5th Workshop on Self-Organizing Maps, Paris (France).

https://research.dial.uclouvain.be/handle/2078.5/254130


Pham, D.-T., Vrins, F., & Verleysen, M. (2005). Spurious entropy minima for multimodal source separation. Proceedings of ISSPA 2005, 37-40.

https://research.dial.uclouvain.be/handle/2078.5/253922


Dablemont, S., & Verleysen, M. (2005). Modelling and forecasting of financial time series of “tick data” by functional analysis and neural networks. Proceedings of the Decision Sciences Institute International Conference (DSI′05), p. 159-165.

https://research.dial.uclouvain.be/handle/2078.5/253749


Catteau, D., Simon, G., Ben Omrane, W., & Verleysen, M. (2005). Using the Self-Organizing Maps to prove empirically the market inefficiency: Evidence from the Paris Stock Exchange. Proceedings of Connectionist Approaches in Economics and Management Sciences (ACSEG 2005), p. 78-89.

https://research.dial.uclouvain.be/handle/2078.5/253793


Article de journal

Lendasse, A., François, D., Wertz, V., & Verleysen, M. (2005). Vector quantization: a weighted version for time series forecasting. Future Generation Computer Systems, 21(7), 1056-1067. https://doi.org/10.1016/j.future.2004.03.006 (Original work published 2005)

https://research.dial.uclouvain.be/handle/2078.5/253860


Monographie

Verleysen, M. (2005). 13th European Symposium on Artificial Neural Networks 2005: Proceedings. d-side publ.

https://research.dial.uclouvain.be/handle/2078.5/253899


2004
Papier de conférence

Donckers, N., Butaye, O., Flandre, D., & Verleysen, M. (2004). Point mémoire analogique basse tension basé sur l’effet GIDL. Proceedings of TAISA 2004 - 5ème Colloque sur le Traitement Analogique de l’Information, du Signal et ses Applications, 55-58.

https://research.dial.uclouvain.be/handle/2078.5/226453


François, D., Verleysen, M., Wertz, V., Gailly, B., & Biga Diambeidou, M. (2004). Observer des Trajectoires de ‘Start-up’ sur des Cartes de Kohonen. ACSEG 2004, Connectionist Approaches in Economics and Management Sciences, Lille, France.

https://research.dial.uclouvain.be/handle/2078.5/211331


François, D., Biga Diambeidou, M., Gailly, B., Wertz, V., & Verleysen, M. (2004). Observer des Trajectoires de ‘Start-up’ sur des Cartes de Kohonen. Proceedings of ACSEG 2004, p. 302-307.

https://research.dial.uclouvain.be/handle/2078.5/226452


Benoudjit, N., François, D., Meurens, M., & Verleysen, M. (2004). Spectrophotometric variable selection by mutual information. Chemometrics and Intelligent Laboratory Systems, 74(2), 243-251. https://doi.org/10.1016/j.chemolab.2004.04.015 (Original work published 2004)

https://research.dial.uclouvain.be/handle/2078.5/253835


Archambeau, C., Butz, T., Popovici, V., Verleysen, M., & Thiran, J.-P. (2004). Supervised Nonparametric Information Theoretic Classification. Proceedings of ICPR′04, 17th Intenational Conference on Pattern Recognition, p. 414-417.

https://research.dial.uclouvain.be/handle/2078.5/220949


Lendasse, A., Oja, E., Simula, O., & Verleysen, M. (2004). Time Series Prediction Competition: The CATS Benchmark. Proceedings of IJCNN′2004 – International Joint Conference on Neural Networks, p. 1615-1620.

https://research.dial.uclouvain.be/handle/2078.5/254178


Vrins, F., Archambeau, C., & Verleysen, M. (2004). Entropy Minima and Distribution Structural Modifications in Blind Separation of Multimodal Sources. In R. Fisher, R. Preuss, U. von Toussaint (ed.), Proceedings of MaxEnt 2004 (pp. 589-596). American Institute of Physics.

https://research.dial.uclouvain.be/handle/2078.5/253700


Lendasse, A., Wertz, V., Simon, G., & Verleysen, M. (2004). Fast Bootstrap applied to LS-SVM for long Term Prediction of Time Series. Proceedings of IJCNN 2004, International Joint Conference on Neural Networks, p. 705-710.

https://research.dial.uclouvain.be/handle/2078.5/225868


Archambeau, C., Vrins, F., & Verleysen, M. (2004). Flexible and Robust Bayesian Classification by Finite Mixture Models. Proceedings of ESANN 2004, European Symposium on Artificial Neural Networks, p. 75-80.

https://research.dial.uclouvain.be/handle/2078.5/223048


Vrins, F., Archambeau, C., & Verleysen, M. (2004). Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions ? Proceedings of ESANN 2004, 211-216.

https://research.dial.uclouvain.be/handle/2078.5/253944


Simon, G., Lee, J., Verleysen, M., & Cottrell, M. (2004). Double Quantization Forecasting Method for Filling Missing Data in the CATS Time Series. Proceedings of IJCNN 2004, International Joint Conference on Neural Networks, p. 1635-1640.

https://research.dial.uclouvain.be/handle/2078.5/226313


Vrins, F., Bouillon, V., Deswert, J., Bouvy, D., Lee, J., Eugène, C., & Verleysen, M. (2004). On the extraction of the snore acoustic signal by independent component analysis. Proceedings of the Second IASTED International Conference on Biomedical Engineering ( BIOMED), p. 326-331.

https://research.dial.uclouvain.be/handle/2078.5/223867


Monographie

Verleysen, M. (2004). 12th European Symposium on Artificial Neural Networks. d-side publ.

https://research.dial.uclouvain.be/handle/2078.5/254144


Article de journal

Archambeau, C., Delbeke, J., Veraart, C., & Verleysen, M. (2004). Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind. Artificial Intelligence in Medicine, 32(3), 183-194. https://doi.org/10.1016/j.artmed.2004.02.004 (Original work published 2004)

https://research.dial.uclouvain.be/handle/2078.5/253756


Lee, J., Lendasse, A., & Verleysen, M. (2004). Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing, 57, 49-76. https://doi.org/10.1016/j.neucom.2004.01.007 (Original work published 2004)

https://research.dial.uclouvain.be/handle/2078.5/253688


Benoudjit, N., Cools, E., Meurens, M., & Verleysen, M. (2004). Chemometric calibration of infrared spectrometers: selection and validation of variables by non-linear models. Chemometrics and Intelligent Laboratory Systems, 70(1-2), 47-53. https://doi.org/10.1016/j.chemolab.2003.10.008 (Original work published 2004)

https://research.dial.uclouvain.be/handle/2078.5/253782


Lendasse, A., Cardon, P., Wertz, V., de Bodt, E., & Verleysen, M. (2004). Self-organizing Feature Maps for the Classificaion of Investment Funds. European Journal of Economic and Social Systems, 17(1-2), 183-195. (Original work published 2004)

https://research.dial.uclouvain.be/handle/2078.5/254048


de Bodt, E., Cottrell, M., Letremy, P., & Verleysen, M. (2004). On the use of self-organizing maps to accelerate vector quantization. Neurocomputing, 56, 187-203. https://doi.org/10.1016/j.neucom.2003.09.009 (Original work published 2004)

https://research.dial.uclouvain.be/handle/2078.5/136549


Simon, G., Lendasse, A., Cottrell, M., Fort, J.-C., & Verleysen, M. (2004). Double quantization of the regressor space for long-term time series prediction: method and proof of stability. Neural Networks, 17(8-9), 1169-1181. https://doi.org/10.1016/j.neunet.2004.08.008 (Original work published 2004)

https://research.dial.uclouvain.be/handle/2078.5/253790


Chapitre de livre

Dualibe, C., & Verleysen, M. (2004). Design and application of analog fuzzy logic controllers. In Smart Adaptive Systems on Silicon (p. p. 157-174). Kluwer Academic Publishers.

https://research.dial.uclouvain.be/handle/2078.5/253783


2003
Papier de conférence

François, D., Verleysen, M., Wertz, V., Gailly, B., & Lendasse, A. (2003). Le plan d’affaires : un outil pour l’investisseur ? ACSEG, 10ème Rencontre Internationale.

https://research.dial.uclouvain.be/handle/2078.5/211340


Simon, G., Lendasse, A., Wertz, V., & Verleysen, M. (2003). Fast approximation of the bootstrap for model selection. Proceedings of ESANN 2003, European Symposium on Artificial Neural Networks, p. 475-480.

https://research.dial.uclouvain.be/handle/2078.5/226016


Lendasse, A., Wertz, V., Simon, G., & Verleysen, M. (2003). Fast Bootstrap for Model Structure Selection. Proceedings of the 22nd Benelux Meeting on Systems and Control, p. 81.

https://research.dial.uclouvain.be/handle/2078.5/225887


Archambeau, C., Lee, J., & Verleysen, M. (2003). On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. Proceedings of ESANN 2003, European Symposium on Artificial Neural Networks, p. 99-106.

https://research.dial.uclouvain.be/handle/2078.5/253994


Verleysen, M., François, D., Simon, G., & Wertz, V. (2003). On the effects of dimensionality on data analysis with neural networks. Lecture Notes in Computer Science, 2687, 105-112. https://doi.org/10.1007/3-540-44869-1_14 (Original work published 2003)

https://research.dial.uclouvain.be/handle/2078.5/141522


François, D., Verleysen, M., Wertz, V., Lendasse, A., & Gailly, B. (2003). Should Seed Investors Read Business Plans? 22th Benelux Meeting on Systems and Control, Lommel (Belgium).

https://research.dial.uclouvain.be/handle/2078.5/254078


Dablemont, S., Simon, G., Lendasse, A., Ruttiens, A., & Verleysen, M. (2003). Prédiction de séries temporelles financières par double carte de Kohonen et modèles RBFN locaux: application à la prédiction de l’indice boursier DAX30. Proceedings of ACSEG 2003, p. 153-164.

https://research.dial.uclouvain.be/handle/2078.5/225871


Lee, J., Archambeau, C., & Verleysen, M. (2003). Locally Linear Embedding versus Isotop. Proceedings of ESANN 2003, European Symposium on Artificial Neural Networks, p. 527-534.

https://research.dial.uclouvain.be/handle/2078.5/225878


Simon, G., Lendasse, A., Cottrell, M., & Verleysen, M. (2003). Long-term time series forecasting using self-organizing maps : the double vector quantization method. Proceedings of ANNPR 2003, Artificial Neural Networks in Pattern Recognition, p. 8-14.

https://research.dial.uclouvain.be/handle/2078.5/225720


Lendasse, A., François, D., Wertz, V., & Verleysen, M. (2003). Nonlinear time series prediction by weighted vector quantization. Lecture Notes in Computer Science, 2657, 417-426. https://doi.org/10.1007/3-540-44860-8_43 (Original work published 2003)

https://research.dial.uclouvain.be/handle/2078.5/253987


Monographie

Dualibe, C., Jespers, P., & Verleysen, M. (2003). Design of Analog Fuzzy Logic Controllers in CMOS Technologies: Implementation, Test and Applications. Kluwer academic publishers.

https://research.dial.uclouvain.be/handle/2078.5/253746


Article de journal

Benoudjit, N., & Verleysen, M. (2003). On the kernel widths in radial-basis function networks. Neural Processing Letters, 18(2), 139-154. https://doi.org/10.1023/A:1026289910256 (Original work published 2003)

https://research.dial.uclouvain.be/handle/2078.5/253810


Chapitre de livre

Verleysen, M. (2003). Learning high-dimensional data. In S. Ablameyko, L. Goras, M. Gori, V. Piuri (ed.), Limitations and Future Trends in Neural Computation (p. p. 141-162). IOS Press.

https://research.dial.uclouvain.be/handle/2078.5/253779


2002
Chapitre de livre

Verleysen, M. (2002). The explanatory power of Artificial Neural Networks. In R. Franck ed. (ed.), The explanatory power of models (p. p. 127-139). Kluwer academic publishers.

https://research.dial.uclouvain.be/handle/2078.5/254056


Papier de conférence

Havran, C., Hupet, L., Czyz, J., Lee, J., Vandendorpe, L., & Verleysen, M. (2002). Independent component analysis for face authentication. In Damiani, E.; Howlett, R.J.; Jain, L.C.; Ichalkaranje, N. (ed.), Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies (pp. 1207-1211). IOS press.

https://research.dial.uclouvain.be/handle/2078.5/253971


Benoudjit, N., Cools, E., Meurens, M., & Verleysen, M. (2002). Calibrage chimiométrique des spectrophotomètres : sélection et validation des variables par modèles non-linéaires. Proceedings of Chimiométrie 2002, p. 25-28.

https://research.dial.uclouvain.be/handle/2078.5/225715


Lendasse, A., Cottrell, M., Wertz, V., & Verleysen, M. (2002). Prediction of Electric Load using Kohonen Maps - Application to the Polish Electricity Consumption. Proceedings of the American Control Conference 2002 (ACC 2002), p. 3684-3689.

https://research.dial.uclouvain.be/handle/2078.5/157068


Benoudjit, N., Archambeau, C., Lendasse, A., Lee, J., & Verleysen, M. (2002). Width optimization of the Gaussian kernels in Radial Basis Function Networks. In Verleysen, M. (ed.), 10th European Symposium on Artificial Neural Networks. ESANN′2002.Proceedings (p. p. 425-432). D-side publications.

https://research.dial.uclouvain.be/handle/2078.5/225716


Hubaux, D., Guedria, L., Vandendorpe, L., Verleysen, M., & Legat, J.-D. (2002). Nouvelles méthodes de conception de systèmes électroniques intégrés. Proceedings of SympA′8, p. 341-345.

https://research.dial.uclouvain.be/handle/2078.5/254189


Kervyn, T., Donckers, N., Verleysen, M., & Flandre, D. (2002). Multiplieur analogique en technologie SOI pour le décodage de turbo-codes. Proceedings du Colloque TAISA 2002, 69-73.

https://research.dial.uclouvain.be/handle/2078.5/253803


Lee, J., & Verleysen, M. (2002). Nonlinear projection with the isotop method. Lecture Notes in Computer Science, 2415, 933-938. https://doi.org/10.1007/3-540-46084-5_151 (Original work published 2002)

https://research.dial.uclouvain.be/handle/2078.5/141755


Lendasse, A., Cottrell, M., Wertz, V., & Verleysen, M. (2002). Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption. Proceedings of the 2002 American Control Conference (IEEE Cat.No.CH37301), Vol. 5, p. 3684-9. https://doi.org/10.1109/ACC.2002.1024500

https://research.dial.uclouvain.be/handle/2078.5/253800


Lendasse, A., Lee, J., Wertz, V., & Verleysen, M. (2002). Forecasting electricity consumption using nonlinear projection and self-organizing maps. Neurocomputing, 48, 299-311. (Original work published 2002)

https://research.dial.uclouvain.be/handle/2078.5/254036


Lee, J., Lendasse, A., & Verleysen, M. (2002). Curvilinear Distance Analysis versus Isomap. Proceedings of ESANN 2002, European Symposium on Artificial Neural Networks, p. 185-192.

https://research.dial.uclouvain.be/handle/2078.5/225883


Article de journal

Verleysen, M., & Vandewalle, J. (2002). Special issue on fundamental and information processing aspects of neurocomputing. Neurocomputing, 48(1-4), 1-2. https://doi.org/10.1016/S0925-2312(01)00667-1 (Original work published 2002)

https://research.dial.uclouvain.be/handle/2078.5/253789


Verleysen, M., & Vandewalle, J. (2002). Fundamental and information processing aspects of neurocomputing. Neurocomputing, 136(special). (Original work published 2014)

https://research.dial.uclouvain.be/handle/2078.5/253698


de Bodt, E., Cottrell, M., & Verleysen, M. (2002). Statistical tools to assess the reliability of self-organizing maps. Neural Networks, 15(8-9), 967-978. https://doi.org/10.1016/S0893-6080(02)00071-0 (Original work published 2002)

https://research.dial.uclouvain.be/handle/2078.5/254028


Lee, J., & Verleysen, M. (2002). Self-organizing maps with recursive neighborhood adaptation. Neural Networks, 15(8-9), 993-1003. (Original work published 2002)

https://research.dial.uclouvain.be/handle/2078.5/254024


Monographie

Verleysen, M. (2002). 10th European Symposium on Artificial Neural Networks 2002: Proceedings. d-side publ.

https://research.dial.uclouvain.be/handle/2078.5/253910


2001
Papier de conférence

Verleysen, M. (2001). Learning high-dimensional data. Proceedings of LFTNC 2001, p. 22.

https://research.dial.uclouvain.be/handle/2078.5/253880


Lee, J., Donckers, N., & Verleysen, M. (2001). Recursive learning rules for SOMs. In N. Allinson, H. Yin, L. Allinson, J. Slack (ed.), Advances in Self-Organizing Maps (p. p. 67-72). Springer Verlag.

https://research.dial.uclouvain.be/handle/2078.5/253811


de Bodt, E., Cottrell, M., & Verleysen, M. (2001). Are they Really Neighbor ? A Statistical Analysis of the SOM Algorithm Output. AISTATS′2001 proceedings, p. 35-40.

https://research.dial.uclouvain.be/handle/2078.5/254155


Cottrell, M., de Bodt, E., & Verleysen, M. (2001). A Statistical Tool to Assess the Reliability of Self-Organizing Maps. In N. Allinson, H. Yin, L. Allinson, J. Slack (ed.), Advances in Self-Organizing Maps (p. p. 7-14). Springer Verlag.

https://research.dial.uclouvain.be/handle/2078.5/253932


Dualibe, C., Jespers, P., & Verleysen, M. (2001). On Designing Mixed-Signal Programmable Fuzzy Logic Controllers as Embedded Subsystems in Standard CMOS Technologies. Proceedings of SBCCI′2001, 14th Symposium on Integrated Circuits and System Design, p. 194-200.

https://research.dial.uclouvain.be/handle/2078.5/226457


Monographie

Verleysen, M. (2001). 9th European Symposium on Artificial Neural Networks 2001: Proceedings. D facto publ.

https://research.dial.uclouvain.be/handle/2078.5/253755


Article de journal

Lendasse, A., Lee, J., de Bodt, E., Wertz, V., & Verleysen, M. (2001). Dimension reduction of technical indicators for the prediction of financial time series - Application to the BEL20 Market Index. European Journal of Economic and Social Systems, 15(2), 31-48. https://doi.org/10.1051/ejess:2001114 (Original work published 2001)

https://research.dial.uclouvain.be/handle/2078.5/253713


2000
Papier de conférence

Dualibe, C., Jespers, P., & Verleysen, M. (2000). A 5.26 Mflips Programmable Analogue Fuzzy Logic Controller in a Standard CMOS 2.4 microns Technology. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS′2000), p. 377-380.

https://research.dial.uclouvain.be/handle/2078.5/253897


Lendasse, A., Lee, J., Wertz, V., & Verleysen, M. (2000). Time Series Forecasting using CCA and Kohonen Maps - Applications to Electricity Consumption. Proceedings of ESANN 2000, European Symposium on Artificial Neural Networks, p. 329-334.

https://research.dial.uclouvain.be/handle/2078.5/254052


Lee, J., Lendasse, A., Donckers, N., & Verleysen, M. (2000). A robust nonlinear projection method. Proceedings of ESANN 2000, European Symposium on Artificial Neural Networks, p. 13-20.

https://research.dial.uclouvain.be/handle/2078.5/225129


Doguet, P., Mevel, H., Verleysen, M., Troosters, M., & Trullemans, C. (2000). An Integrated Circuit for the Electrical Stimulation of the Optic Nerve. Proceedings of the 5th annual conference of the International Functional Electrical Stimulation Society (IFESS′2000), p. 309-312.

https://research.dial.uclouvain.be/handle/2078.5/254092


De Lima, J., Silva, S., Cordeiro, A., Araujo, A., & Verleysen, M. (2000). A low-power silicon-on-insulator PWM discriminator for biomedical applications. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS′2000), p. 277-280.

https://research.dial.uclouvain.be/handle/2078.5/221735


Lendasse, A., Lee, J., de Bodt, E., Wertz, V., & Verleysen, M. (2000). Réduction de la dimension d’un ensemble d’indicateurs techniques en vue de la prédiction de séries temporelles financières - Application à l’indice de marché BEL 20. ACSEG 2000 proceedings - Connectionist Approaches in Economics and Management Sciences, p. 155-175.

https://research.dial.uclouvain.be/handle/2078.5/253825


Donckers, N., Dualibe, C., & Verleysen, M. (2000). A current-mode CMOS loser-take-all with minimum function for neural computations. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS′2000), p. 415-418.

https://research.dial.uclouvain.be/handle/2078.5/254086


Monographie

Verleysen, M. (2000). 8th European Symposium on Artificial Neural Networks 2000: Proceedings. D facto publ.

https://research.dial.uclouvain.be/handle/2078.5/253912


Article de journal

Lendasse, A., de Bodt, E., Wertz, V., & Verleysen, M. (2000). Non linear financial time series forecasting - Aplication to the Bel 20 stock market index. European Journal of Economic and Social Systems, 14(1), 81-91. https://doi.org/10.1051/ejess:2000110 (Original work published 2000)

https://research.dial.uclouvain.be/handle/2078.5/253689


1999
Papier de conférence

Lendasse, A., Verleysen, M., Donckers, N., & Wertz, V. (1999). Extraction of intrinsic dimension using CCA-Application to blind sources separation. Proceedings of the European Symposium on Artificial Neural Networks (ESANN′99), p. 339-344.

https://research.dial.uclouvain.be/handle/2078.5/253748


Chapitre de livre

Verleysen, M., LENDASSE, A., & de Bodt, E. (1999). Forecasting financial time series through intrinsic dimension estimation and non-linear data projection.

https://research.dial.uclouvain.be/handle/2078.5/28171


1998
Papier de conférence

Lendasse, A., de Bodt, E., & Verleysen, M. (1998). Estimation de la dimension intrinsèque d’une série temporelle et prédiction par une méthode de projection. Application au SBF 250 sur la période 1992-1997. Proceedings of ACSEG 1998, Connectionist Approaches in Economics and Management Sciences, p. D-37 - D-46.

https://research.dial.uclouvain.be/handle/2078.5/253737


Trullemans, C., Amerijckx, C., Mevel, H., Legat, J.-D., Verleysen, M., Troosters, M., & Doguet, P. (1998). An electronic device for nerve stimulation. Workshop on Industrial Microtechnology Applications, Madrid (Spain).

https://research.dial.uclouvain.be/handle/2078.5/254179


LENDASSE, A., Grégoire, P., Verleysen, M., Cottrell, M., & de Bodt, E. (1998). Forecasting Time-Series by Kohonen Classification. Proceedings of ESANN′98, Bruges.

https://research.dial.uclouvain.be/handle/2078.5/211444


Verleysen, M. (1998). The explanatory power of Artificial Neural Networks. Proceedings of Methodos: The explanatory power of models in the social sciences, p. 13 pages.

https://research.dial.uclouvain.be/handle/2078.5/254019


Monographie

Verleysen, M. (1998). 6th European Symposium on Artificial Neural Networks 1998: Proceedings. D facto publ.

https://research.dial.uclouvain.be/handle/2078.5/253819


Article de journal

Dualibe, C., Jespers, P., & Verleysen, M. (1998). Two-quadrant CMOS analogue divider. Electronics Letters, 34(12), 1164-1165. https://doi.org/10.1049/el:19980861 (Original work published 1998)

https://research.dial.uclouvain.be/handle/2078.5/141694


1997
Papier de conférence

Parramon, J., Doguet, P., Marin, D., Verleysen, M., Munoz, R., Leija, L., & Valderrama Opazo, E. (1997). Asic-based batteryless implantable telemetry microsystem for recording purposes. Proceedings of the 19th IEEE-EMBS Engineering in Medecine and Biology Society Conference, p. 2225-2228.

https://research.dial.uclouvain.be/handle/2078.5/253731


Parramon, J., Doguet, P., Marin, D., Verleysen, M., Valderrama, E., Arzuaga, J., & Leija, L. (1997). IC based RF powered implantable telemetry microsystem for EMG recording. In T.Penzel, S.Salmons, M.Neuman eds. (ed.), Proceedings of the XIV International Symposium on Biotelemetry (p. p. 257-263).

https://research.dial.uclouvain.be/handle/2078.5/253898


1996
Monographie

Blayo, F., & Verleysen, M. (1996). Les Réseaux de Neurones Artificiels. Presses Universitaires de France.

https://research.dial.uclouvain.be/handle/2078.5/253740


Verleysen, M. (1996). 4th European Symposium on Artificial Neural Networks 1996: Proceedings. D facto publ.

https://research.dial.uclouvain.be/handle/2078.5/56183


Chapitre de livre

Verleysen, M. (1996). Feedforward unsupervised models. In E.Fiesler, R.Bealer eds. (ed.), Handbook on Neural Computation (p. p. C2.1:1-C2.1:15). IOP and Oxford University Press.

https://research.dial.uclouvain.be/handle/2078.5/45840


Papier de conférence

Thissen, P., Verleysen, M., & Legat, J.-D. (1996). A VLSI Associative Processor for Neural-Like Classification Algorithms. Proc. of MCPS′96, p. 130-136.

https://research.dial.uclouvain.be/handle/2078.5/254210


Verleysen, M., & Hlavackova, K. (1996). Learning in RBF networks. Proceedings of the International Conference on Neural Networks (ICNN′96), p. 199-204.

https://research.dial.uclouvain.be/handle/2078.5/254077


1995
Monographie

Verleysen, M. (1995). 3rd European Symposium on Artificial Neural Networks 1995: Proceedings. D facto publ.

https://research.dial.uclouvain.be/handle/2078.5/253684


Papier de conférence

Thissen, P., Legat, J.-D., Verleysen, M., Madrenas, J., & Dominguez, J. (1995). A VLSI system for neural Bayesian and LVQ classification. Lecture Notes in Computer Science, 930, 696-703. (Original work published 1995)

https://research.dial.uclouvain.be/handle/2078.5/254219


Thissen, P., Verleysen, M., & Legat, J.-D. (1995). An associative processor architecture for pattern recognition. Proc. of the ProRISC/IEEE Workshop on Circuit, Systems and Signal Processing, p. 309-315.

https://research.dial.uclouvain.be/handle/2078.5/254203


Voz, JL., Legat, J.-D., Verleysen, M., & Thissen, P. (1995). A practical view of suboptimal Bayesian classification with radial Gaussian kernels. Lecture Notes in Computer Science, 930, 404-411. (Original work published 1995)

https://research.dial.uclouvain.be/handle/2078.5/254220


Voz, J.-L., Verleysen, M., Thissen, P., & Legat, J.-D. (1995). Suboptimal Bayesian classification by vector quantization with small clusters. Proc. of the European Symposium on Artificial Neural Networks, p. 153-160.

https://research.dial.uclouvain.be/handle/2078.5/254186


Verleysen, M. (1995). Les principaux modèles de réseaux de neurones artificiels. In E. de Bodt, E.Henrion eds. (ed.), Proceedings de “Les réseaux de neurones en finance : conception et applications” (p. p. 59-97). D-Facto publications.

https://research.dial.uclouvain.be/handle/2078.5/253992


Thissen, P., Verleysen, M., & Legat, J.-D. (1995). A FPGA-based control unit for dedicated parallel processor. Proc. of the ProRISC/IEEE Workshop on Circuit, Systems and Signal Processing, p. 303-308.

https://research.dial.uclouvain.be/handle/2078.5/254214


1994
Papier de conférence

Verleysen, M., & Hlavackova, K. (1994). An optimized RBF network for approximation of functions. Proceedings of ESANN 2004, European Symposium on Artificial Neural Networks, p. 175-180.

https://research.dial.uclouvain.be/handle/2078.5/253695


Voz, J.-L., Verleysen, M., Thissen, P., & Legat, J.-D. (1994). Handwritten digit recognition by suboptimal bayesian classifier. Proc of NeuroNîmes94, p. 17-26.

https://research.dial.uclouvain.be/handle/2078.5/254215


Voz, J.-L., Thissen, P., Verleysen, M., & Legat, J.-D. (1994). Application of suboptimal Bayesian classification to handwritten numerals recognition. Proc. of the IEE European workshop on handwriting analysis and recognition : an European perspective, p. 97-106.

https://research.dial.uclouvain.be/handle/2078.5/254198


Thissen, P., Verleysen, M., & Legat, J.-D. (1994). Matching properties of CMOS SOI transistors. Proc. of the 4th int. conf. on microelectronics for neural networks and fuzzy systems, p. 134-137.

https://research.dial.uclouvain.be/handle/2078.5/254184


Comon, P., VOZ, J.-L., & Verleysen, M. (1994). Estimation of Performance Bounds in Supervised Classification. Proceedings of ESANN′94, European Symposium on Artificial Neural Networks, p. 37-42.

https://research.dial.uclouvain.be/handle/2078.5/253685


Monographie

Verleysen, M. (1994). 2nd European Symposium on Artificial Neural Networks 1994: Proceedings. D facto publ.

https://research.dial.uclouvain.be/handle/2078.5/253802


Verleysen, M., & de Bodt, E. (1994). Belgian Neural Network Contact Group: 1994 annual meeting.

https://research.dial.uclouvain.be/handle/2078.5/254000


Article de journal

Verleysen, M., Thissen, P., Voz, JL., & Madrenas, J. (1994). An Analog Processor Architecture for a Neural-network Classifier. IEEE Micro, 14(3), 16-28. https://doi.org/10.1109/40.285221 (Original work published 1994)

https://research.dial.uclouvain.be/handle/2078.5/253751


1993
Papier de conférence

Simon, B., Macq, B., & Verleysen, M. (1993). Laplacian Pyramid with Multilayer Perceptrons Interpolators. Proceedings of the European Symposium on Artificial Neural Networks (ESANN′93), p. 137-144.

https://research.dial.uclouvain.be/handle/2078.5/253744


Verleysen, M., Legat, J.-D., & Thissen, P. (1993). Optimal decision surfaces in LVQ1 classification of patterns. In Verleysen, M.; (ed.), European Symposium on Artificial Neural Networks ESANN ’93. Proceedings (p. p. 209-214). D facto.

https://research.dial.uclouvain.be/handle/2078.5/254209


Verleysen, M. (1993). NERVES and ELENA : the Basic Research on Artificial Neural Networks in Europe. Proceedings of the European Informatic Congress - Computing Systems Architectures, p. 157-167.

https://research.dial.uclouvain.be/handle/2078.5/253724


Simon, B., Macq, B., & Verleysen, M. (1993). Pyramids for image compression with neural networks interpolators. Proceedings of the 14th Symposium for Information Theory in the Benelux, p. 168-174.

https://research.dial.uclouvain.be/handle/2078.5/253990


Verleysen, M. (1993). Realizations of artificial neural networks : VLSI, machines and neural computers. Proceedings of Neuro-Nîmes′93, p. 120 pages.

https://research.dial.uclouvain.be/handle/2078.5/253873


Verleysen, M., Thissen, P., & Legat, J.-D. (1993). Learning vector classification: an improvement on LVQ algorithms to create classes of patterns. In J.Mira, J.Cabestany, A.Prieto eds. (ed.), Proceedings of the International Workshop on Artificial Neural Networks (IWANN 1993) (p. p. 340-345). Springer-Verlag.

https://research.dial.uclouvain.be/handle/2078.5/22602


Monographie

Verleysen, M. (1993). 1st European Symposium on Artificial Neural Networks 1993: Proceedings. D facto publ.

https://research.dial.uclouvain.be/handle/2078.5/253801


1992
Papier de conférence

Blayo, F., & Verleysen, M. (1992). Setting Initial Conditions for the RCE Model. Proceedings of the 1st IFIP Working Group 10.6 Workshop, p. 31-35.

https://research.dial.uclouvain.be/handle/2078.5/253848


Verleysen, M. (1992). Realizations of artificial neural networks : VLSI, machines and neural computers. Proceedings of Neuro-Nîmes′92, p. 114 pages.

https://research.dial.uclouvain.be/handle/2078.5/253914


Verleysen, M., Blayo, F., & Legat, J.-D. (1992). LVQ-like procedure for the initialization of the RCE model. Congrès Satellite du Congrès Européen de Mathématiques: Aspects Théoriques des Réseaux de Neurones, Paris (France).

https://research.dial.uclouvain.be/handle/2078.5/253915


Legat, J.-D., Cornil, J.-P., & Verleysen, M. (1992). Parallel VLSI-based Architecture for Multi-motion Estimation. Proc. of the Int. SPIE Conf. on Applications of Artificial Intelligence X : Machine Vision and Robotics, p. 165-171.

https://research.dial.uclouvain.be/handle/2078.5/254188


Verleysen, M., & Legat, J.-D. (1992). Une procédure d’initialisation de type LVQ pour le réseau RCE. Proc. du Congrès européen de mathématiques, p. 35-45.

https://research.dial.uclouvain.be/handle/2078.5/252711


1991
Chapitre de livre

Verleysen, M., & Jespers, P. (1991). VLSI Chips for Neural Networks. In Omid M. Omidvar ed. (ed.), Progress in Neural Networks (p. p. 175-196). Ablex Publishing Corporation.

https://research.dial.uclouvain.be/handle/2078.5/45829


Verleysen, M., & Jespers, P. (1991). Precision of Computations in Analog Neural Networks. In U.Ramacher et U.Rückert eds. (ed.), VLSI design of neural networks (p. p. 65-82). Kluwer Academic Publishers (UK).

https://research.dial.uclouvain.be/handle/2078.5/71639


Papier de conférence

Verleysen, M., & Jespers, P. (1991). Analog VLSI synapse matrix with enhanced stochastic computations. In Prieto, Alberto (ed.) (ed.), Proceedings of the International Workshop on Artificial Neural networks (pp. 315-321). Springer-Verlag. https://doi.org/10.1007/BFb0035908

https://research.dial.uclouvain.be/handle/2078.5/253814


Verleysen, M., & Jespers, P. (1991). Stochastic computations in VLSI analog neural networks. Proceedings of the International Conference on Artificial Neural Networks, p. 1691-1696.

https://research.dial.uclouvain.be/handle/2078.5/253843


Legat, J.-D., Cornil, J.-P., & Verleysen, M. (1991). Systolic array architecture for Early vision processing. Proc. of ESSCIRC′91, p. 93-96.

https://research.dial.uclouvain.be/handle/2078.5/254196


1989
Papier de conférence

Verleysen, M., Martin, D., & Jespers, P. (1989). A VLSI neural network with capacitive synapses. Proceedings of the European Conference on Circuit Theory and Design, p. 73-77.

https://research.dial.uclouvain.be/handle/2078.5/253886


Verleysen, M., Jespers, P., & Martin, D. (1989). A capacitive neural network for associative memory. In Barbe, A.M.; (ed.), Proceedings of the Tenth Symposium on Information Theory in the Benelux (p. p. 73-79). Werkgemeenschap voor inf.- & communicatietheorie.

https://research.dial.uclouvain.be/handle/2078.5/253758


Verleysen, M., Sirletti, B., & Jespers, P. (1989). A new VLSI architecture for neural associative memories. Neural Networks from Models to Applications, p. 692-700.

https://research.dial.uclouvain.be/handle/2078.5/253780


Verleysen, M., & Jespers, P. (1989). Implémentations VLSI analogiques de réseaux de neurones. Journées d’électronique, p. 279-289.

https://research.dial.uclouvain.be/handle/2078.5/253919


Article de journal

Verleysen, M., Sirletti, B., Vandemeulebroecke, A., & Jespers, PGA. (1989). A High-storage Capacity Content-addressable Memory and its Learning Algorithm. IEEE Transactions on Circuits and Systems, 36(5), 762-766. https://doi.org/10.1109/31.31325 (Original work published 1989)

https://research.dial.uclouvain.be/handle/2078.5/254088


Verleysen, M., & Jespers, PGA. (1989). An Analog Vlsi Implementation of Hopfield’s Neural Network. IEEE Micro, 9(6), 46-55. https://doi.org/10.1109/40.42986 (Original work published 1989)

https://research.dial.uclouvain.be/handle/2078.5/254094


Verleysen, M., Sirletti, B., Vandemeulebroecke, A., & Jespers, P. (1989). Neural networks for high-storage content-addressable memories: VLSI circuit and learning algorithm. IEEE Journal of Solid State Circuits, 24(3), 562-569. https://doi.org/10.1109/4.32008 (Original work published 1989)

https://research.dial.uclouvain.be/handle/2078.5/254071


1988
Papier de conférence

Verleysen, M., Sirletti, B., & Jespers, P. (1988). A large VLSI fully interconnected neural network. 1988 Symposium on VLSI circuits, Tokyo (Japan).

https://research.dial.uclouvain.be/handle/2078.5/254217


Papier de conférence

Lendasse, A., François, D., Wertz, V., & Verleysen, M. (n.d.). Vector quantization: a weighted version for time-series forecasting. 5th International Conference on Computational Sciences (ICCS 2005), Atlanta (USA).

https://research.dial.uclouvain.be/handle/2078.5/140540


Unités d'enseignement pour 2026

Libellé Code
Machine learning : regression, deep networks and dimensionality reduction LELEC2870
Algèbre LEPL1101
Principles of Scientific Communication LFSA3010
Bioinstrumentation LGBIO2020