default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichel Verleysen
Person information
- affiliation: Université catholique de Louvain, Belgium
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Books and Theses
- 2003
[b1]Carlos Dualibe, Michel Verleysen, Paul G. A. Jespers:
Design of analog fuzzy logic controllers in CMOS technologies - implementation, test and application. Kluwer 2003, pp. I-VIII, 1-214
Journal Articles
- 2024
- [j82]Edouard Couplet, Pierre Lambert
, Michel Verleysen, John A. Lee, Cyril de Bodt:
Investigating latent representations and generalization in deep neural networks for tabular data. Neurocomputing 597: 127967 (2024) - 2023
- [j81]Stef van den Elzen, Gennady L. Andrienko, Natalia V. Andrienko, Brian D. Fisher, Rafael Messias Martins, Jaakko Peltonen, Alexandru C. Telea, Michel Verleysen:
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 (2023) - [j80]Walter Serna-Serna, Cyril de Bodt, Andrés Marino Álvarez-Meza, John A. Lee, Michel Verleysen, Álvaro Ángel Orozco-Guitiérrez:
Semi-supervised t-SNE with multi-scale neighborhood preservation. Neurocomputing 550: 126496 (2023) - 2022
- [j79]Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee:
SQuadMDS: A lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. Neurocomputing 503: 17-27 (2022) - [j78]Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee:
Fast Multiscale Neighbor Embedding. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1546-1560 (2022) - 2021
- [j77]Alexandra Degeest, Benoît Frénay, Michel Verleysen:
Reading grid for feature selection relevance criteria in regression. Pattern Recognit. Lett. 148: 92-99 (2021) - 2020
- [j76]Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex Pentland, Michel Verleysen, Yves-Alexandre de Montjoye:
Inference of node attributes from social network assortativity. Neural Comput. Appl. 32(24): 18023-18043 (2020) - [j75]Frederico Coelho, Marcelo Costa, Michel Verleysen, Antônio P. Braga:
LASSO multi-objective learning algorithm for feature selection. Soft Comput. 24(17): 13209-13217 (2020) - 2019
- [j74]Frederico Coelho, Cristiano Leite Castro, Antônio P. Braga, Michel Verleysen:
Semi-supervised relevance index for feature selection. Neural Comput. Appl. 31(S-2): 989-997 (2019) - [j73]Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee:
Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1166-1179 (2019) - 2018
- [j72]Made Windu Antara Kesiman, Dona Valy, Jean-Christophe Burie, Erick Paulus, Mira Suryani, Setiawan Hadi, Michel Verleysen, Sophea Chhun, Jean-Marc Ogier:
Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia. J. Imaging 4(2): 43 (2018) - 2017
- [j71]Andrés Marino Álvarez-Meza, John Aldo Lee, Michel Verleysen, Germán Castellanos-Domínguez:
Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity. Neurocomputing 222: 36-46 (2017) - [j70]Mohamed Khalil El Mahrsi, Etienne Côme, Latifa Oukhellou, Michel Verleysen:
Clustering Smart Card Data for Urban Mobility Analysis. IEEE Trans. Intell. Transp. Syst. 18(3): 712-728 (2017) - 2016
- [j69]Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen:
A Mutual Information estimator for continuous and discrete variables applied to Feature Selection and Classification problems. Int. J. Comput. Intell. Syst. 9(4): 726-733 (2016) - [j68]Benoît Frénay, Michel Verleysen:
Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers. IEEE Trans. Cybern. 46(12): 3351-3363 (2016) - 2015
- [j67]Guillaume Bernard, Michel Verleysen, John Aldo Lee:
Incremental classification of objects in scenes: Application to the delineation of images. Neurocomputing 152: 45-57 (2015) - [j66]John Aldo Lee, Diego Hernán Peluffo-Ordóñez, Michel Verleysen:
Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. Neurocomputing 169: 246-261 (2015) - 2014
- [j65]Benoît Frénay, Gauthier Doquire, Michel Verleysen:
Estimating mutual information for feature selection in the presence of label noise. Comput. Stat. Data Anal. 71: 832-848 (2014) - [j64]Benoît Frénay, Michel Verleysen:
Pointwise probability reinforcements for robust statistical inference. Neural Networks 50: 124-141 (2014) - [j63]Benoît Frénay, Michel Verleysen:
Classification in the Presence of Label Noise: A Survey. IEEE Trans. Neural Networks Learn. Syst. 25(5): 845-869 (2014) - 2013
- [j62]Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen, Amaury Lendasse:
Feature selection for nonlinear models with extreme learning machines. Neurocomputing 102: 111-124 (2013) - [j61]Benoît Frénay, Gauthier Doquire, Michel Verleysen:
Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification. Neurocomputing 112: 64-78 (2013) - [j60]John Aldo Lee, Emilie Renard, Guillaume Bernard, Pierre Dupont, Michel Verleysen:
Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation. Neurocomputing 112: 92-108 (2013) - [j59]Gauthier Doquire, Michel Verleysen:
A graph Laplacian based approach to semi-supervised feature selection for regression problems. Neurocomputing 121: 5-13 (2013) - [j58]Gauthier Doquire, Michel Verleysen:
Mutual information-based feature selection for multilabel classification. Neurocomputing 122: 148-155 (2013) - [j57]Emil Eirola, Gauthier Doquire, Michel Verleysen, Amaury Lendasse:
Distance estimation in numerical data sets with missing values. Inf. Sci. 240: 115-128 (2013) - [j56]Benoît Frénay, Gauthier Doquire, Michel Verleysen:
Is mutual information adequate for feature selection in regression? Neural Networks 48: 1-7 (2013) - 2012
- [j55]Gauthier Doquire, Michel Verleysen:
Feature selection with missing data using mutual information estimators. Neurocomputing 90: 3-11 (2012) - [j54]Gaël de Lannoy, Damien François, Jean Delbeke, Michel Verleysen:
Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification. IEEE Trans. Biomed. Eng. 59(1): 241-247 (2012) - 2011
- [j53]Gauthier Doquire, Gaël de Lannoy, Damien François, Michel Verleysen:
Feature Selection for Interpatient Supervised Heart Beat Classification. Comput. Intell. Neurosci. 2011: 643816:1-643816:9 (2011) - [j52]Arnaud de Decker, Damien François, Michel Verleysen, John Aldo Lee:
Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising. Neurocomputing 74(9): 1402-1410 (2011) - [j51]Benoît Frénay, Michel Verleysen:
Parameter-insensitive kernel in extreme learning for non-linear support vector regression. Neurocomputing 74(16): 2526-2531 (2011) - 2010
- [j50]Arnaud de Decker, John Aldo Lee, Michel Verleysen:
A principled approach to image denoising with similarity kernels involving patches. Neurocomputing 73(7-9): 1199-1209 (2010) - [j49]John Aldo Lee, Michel Verleysen:
Scale-independent quality criteria for dimensionality reduction. Pattern Recognit. Lett. 31(14): 2248-2257 (2010) - 2009
- [j48]John Aldo Lee, Michel Verleysen:
Quality assessment of dimensionality reduction: Rank-based criteria. Neurocomputing 72(7-9): 1431-1443 (2009) - [j47]Victor Onclinx, Vincent Wertz, Michel Verleysen:
Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity. Neurocomputing 72(7-9): 1444-1454 (2009) - [j46]Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen:
K nearest neighbours with mutual information for simultaneous classification and missing data imputation. Neurocomputing 72(7-9): 1483-1493 (2009) - [j45]Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury:
Information-theoretic feature selection for functional data classification. Neurocomputing 72(16-18): 3580-3589 (2009) - [j44]Elia Liitiäinen, Michel Verleysen, Francesco Corona, Amaury Lendasse:
Residual variance estimation in machine learning. Neurocomputing 72(16-18): 3692-3703 (2009) - 2008
- [j43]Alex Assenza, Maurizio Valle, Michel Verleysen:
A Comparative Study of Various Probability Density Estimation Methods for Data Analysis. Int. J. Comput. Intell. Syst. 1(2): 188-201 (2008) - [j42]Cédric Archambeau, Nicolas Delannay, Michel Verleysen:
Mixtures of robust probabilistic principal component analyzers. Neurocomputing 71(7-9): 1274-1282 (2008) - [j41]Nicolas Delannay, Michel Verleysen:
Collaborative filtering with interlaced generalized linear models. Neurocomputing 71(7-9): 1300-1310 (2008) - [j40]John Aldo Lee, Frédéric Vrins, Michel Verleysen:
Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition. Neurocomputing 72(1-3): 47-56 (2008) - [j39]Dinh-Tuan Pham, Frédéric Vrins, Michel Verleysen:
On the Risk of Using RÉnyi's Entropy for Blind Source Separation. IEEE Trans. Signal Process. 56(10-1): 4611-4620 (2008) - 2007
- [j38]Geoffroy Simon, Michel Verleysen:
High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria. Neurocomputing 70(7-9): 1265-1275 (2007) - [j37]Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen:
Resampling methods for parameter-free and robust feature selection with mutual information. Neurocomputing 70(7-9): 1276-1288 (2007) - [j36]Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen:
Time series prediction competition: The CATS benchmark. Neurocomputing 70(13-15): 2325-2329 (2007) - [j35]Geoffroy Simon, John Aldo Lee, Marie Cottrell, Michel Verleysen:
Forecasting the CATS benchmark with the Double Vector Quantization method. Neurocomputing 70(13-15): 2400-2409 (2007) - [j34]Cédric Archambeau, Michel Verleysen:
Robust Bayesian clustering. Neural Networks 20(1): 129-138 (2007) - [j33]Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen:
Mixing and Non-Mixing Local Minima of the Entropy Contrast for Blind Source Separation. IEEE Trans. Inf. Theory 53(3): 1030-1042 (2007) - [j32]Damien François, Vincent Wertz, Michel Verleysen:
The Concentration of Fractional Distances. IEEE Trans. Knowl. Data Eng. 19(7): 873-886 (2007) - [j31]Frédéric Vrins, John Aldo Lee, Michel Verleysen:
A Minimum-Range Approach to Blind Extraction of Bounded Sources. IEEE Trans. Neural Networks 18(3): 809-822 (2007) - [j30]Sylvain Lespinats, Michel Verleysen, Alain Giron, Bernard Fertil:
DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data. IEEE Trans. Neural Networks 18(5): 1265-1279 (2007) - 2006
- [j29]Marie Cottrell, Michel Verleysen:
Advances in Self-Organizing Maps. Neural Networks 19(6-7): 721-722 (2006) - [j28]Geoffroy Simon, John Aldo Lee, Michel Verleysen:
Unfolding preprocessing for meaningful time series clustering. Neural Networks 19(6-7): 877-888 (2006) - 2005
- [j27]Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen:
Vector quantization: a weighted version for time-series forecasting. Future Gener. Comput. Syst. 21(7): 1056-1067 (2005) - [j26]Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen:
Fast bootstrap methodology for regression model selection. Neurocomputing 64: 161-181 (2005) - [j25]Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen:
Representation of functional data in neural networks. Neurocomputing 64: 183-210 (2005) - [j24]John Aldo Lee, Michel Verleysen:
Nonlinear dimensionality reduction of data manifolds with essential loops. Neurocomputing 67: 29-53 (2005) - [j23]Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen:
Time series forecasting: Obtaining long term trends with self-organizing maps. Pattern Recognit. Lett. 26(12): 1795-1808 (2005) - [j22]Frédéric Vrins, Michel Verleysen:
On the entropy minimization of a linear mixture of variables for source separation. Signal Process. 85(5): 1029-1044 (2005) - [j21]Frédéric Vrins, Michel Verleysen:
Information theoretic versus cumulant-based contrasts for multimodal source separation. IEEE Signal Process. Lett. 12(3): 190-193 (2005) - 2004
- [j20]Cédric Archambeau, Jean Delbeke, Claude Veraart, Michel Verleysen:
Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind. Artif. Intell. Medicine 32(3): 183-194 (2004) - [j19]Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen:
On the use of self-organizing maps to accelerate vector quantization. Neurocomputing 56: 187-203 (2004) - [j18]John Aldo Lee, Amaury Lendasse, Michel Verleysen:
Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing 57: 49-76 (2004) - [j17]Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen:
Double quantization of the regressor space for long-term time series prediction: method and proof of stability. Neural Networks 17(8-9): 1169-1181 (2004) - 2003
- [j16]Nabil Benoudjit, Michel Verleysen:
On the Kernel Widths in Radial-Basis Function Networks. Neural Process. Lett. 18(2): 139-154 (2003) - 2002
- [j15]Michel Verleysen, Joos Vandewalle:
Special issue on fundamental and information processing aspects of neurocomputing. Neurocomputing 48(1-4): 1-2 (2002) - [j14]Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen:
Forecasting electricity consumption using nonlinear projection and self-organizing maps. Neurocomputing 48(1-4): 299-311 (2002) - [j13]Eric de Bodt, Marie Cottrell, Michel Verleysen:
Statistical tools to assess the reliability of self-organizing maps. Neural Networks 15(8-9): 967-978 (2002) - [j12]John Aldo Lee, Michel Verleysen:
Self-organizing maps with recursive neighborhood adaptation. Neural Networks 15(8-9): 993-1003 (2002) - [j11]Jader A. De Lima, Sidnei F. Silva, Adriano S. Cordeiro, Michel Verleysen:
A CMOS/SOI Single-input PWM Discriminator for Low-voltage Body-implanted Applications. VLSI Design 15(1): 469-476 (2002) - 1998
- [j10]C. Amerijckx, Michel Verleysen, Philippe Thissen, Jean-Didier Legat:
Image compression by self-organized Kohonen map. IEEE Trans. Neural Networks 9(3): 503-507 (1998) - 1997
- [j9]Katerina Hlavácková, Michel Verleysen:
Placing spline knots in neural networks using splines as activation functions. Neurocomputing 17(3-4): 159-166 (1997) - 1995
- [j8]François Blayo, Michel Verleysen:
Editorial. Neural Process. Lett. 2(3): 1 (1995) - 1994
- [j7]Michel Verleysen, Philippe Thissen, Jean-Luc Voz, Jordi Madrenas:
An analog processor architecture for a neural network classifier. IEEE Micro 14(3): 16-28 (1994) - [j6]François Blayo, Michel Verleysen:
Editorial. Neural Process. Lett. 1(1): 1 (1994) - 1993
- [j5]Damien Macq, Michel Verleysen, Paul G. A. Jespers, Jean-Didier Legat:
Analog implementation of a Kohonen map with on-chip learning. IEEE Trans. Neural Networks 4(3): 456-461 (1993) - 1989
- [j4]Michel Verleysen, Bruno Sirletti, Andre M. Vandemeulebroecke, Paul G. A. Jespers:
Neural networks for high-storage content-addressable memory: VLSI circuit and learning algorithm. IEEE J. Solid State Circuits 24(3): 562-569 (1989) - [j3]Michel Verleysen, Paul G. A. Jespers:
An analog VLSI implementation of Hopfield's neural network. IEEE Micro 9(6): 46-55 (1989) - 1988
- [j2]Bruno Sirletti, Michel Verleysen, Andre M. Vandemeulebroecke, Paul G. A. Jespers:
An algorithm for pattern recognition with VLSI neural networks. Neural Networks 1(Supplement-1): 53 (1988) - [j1]Michel Verleysen, Bruno Sirletti, Paul G. A. Jespers:
A large VLSI Hopfield network for pattern recognition problems. Neural Networks 1(Supplement-1): 414-418 (1988)
Conference and Workshop Papers
- 2023
- [c176]Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt:
On the number of latent representations in deep neural networks for tabular data. ESANN 2023 - 2021
- [c175]Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee:
Stochastic quartet approach for fast multidimensional scaling. ESANN 2021 - [c174]Pierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt:
Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. ESANN 2021 - 2020
- [c173]Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu:
Perplexity-free Parametric t-SNE. ESANN 2020: 387-392 - [c172]Dona Valy, Michel Verleysen, Sophea Chhun:
Data Augmentation and Text Recognition on Khmer Historical Manuscripts. ICFHR 2020: 73-78 - [c171]Michel Verleysen:
Machine Learning with Limited Size Datasets. IJCCI 2020: 11 - [c170]Michel Verleysen:
Machine Learning with Limited Size Datasets. PECCS 2020: 5 - 2019
- [c169]Cyril de Bodt, Dounia Mulders, Daniel López Sánchez, Michel Verleysen, John A. Lee:
Class-aware t-SNE: cat-SNE. ESANN 2019 - [c168]Ángel Campo, Marc Francaux, Laurent Baijot, Michel Verleysen:
MAP best performances prediction for endurance runners. ESANN 2019 - [c167]Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, André Mouraux, Michel Verleysen:
Tensor factorization to extract patterns in multimodal EEG data. ESANN 2019 - [c166]Alexandra Degeest, Michel Verleysen, Benoît Frénay:
Comparison Between Filter Criteria for Feature Selection in Regression. ICANN (2) 2019: 59-71 - [c165]Dona Valy, Michel Verleysen, Sophea Chhun:
Text Recognition on Khmer Historical Documents using Glyph Class Map Generation with Encoder-Decoder Model. ICPRAM 2019: 749-756 - [c164]Alexandra Degeest, Michel Verleysen, Benoît Frénay:
About Filter Criteria for Feature Selection in Regression. IWANN (2) 2019: 579-590 - 2018
- [c163]Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee:
Perplexity-free t-SNE and twice Student tt-SNE. ESANN 2018 - [c162]Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee:
Extensive assessment of Barnes-Hut t-SNE. ESANN 2018 - [c161]Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen:
Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns. LVA/ICA 2018: 524-533 - [c160]Dona Valy, Michel Verleysen, Sophea Chhun, Jean-Christophe Burie:
Character and Text Recognition of Khmer Historical Palm Leaf Manuscripts. ICFHR 2018: 13-18 - [c159]Made Windu Antara Kesiman, Dona Valy, Jean-Christophe Burie, Erick Paulus, Mira Suryani, Setiawan Hadi, Michel Verleysen, Sophea Chhun, Jean-Marc Ogier:
ICFHR 2018 Competition On Document Image Analysis Tasks for Southeast Asian Palm Leaf Manuscripts. ICFHR 2018: 483-488 - [c158]Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen:
Linear Periodic Discriminant Analysis of Multidimensional Signals. ICONIP (6) 2018: 476-487 - [c157]Alexandra Degeest, Michel Verleysen, Benoît Frénay:
Smoothness Bias in Relevance Estimators for Feature Selection in Regression. AIAI 2018: 285-294 - 2017
- [c156]Dona Valy, Michel Verleysen, Sophea Chhun, Jean-Christophe Burie:
A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition: SleukRith Set. HIP@ICDAR 2017: 1-6 - [c155]Dimitri de Smet, Michel Verleysen, Marc Francaux:
Running Race Times Prediction and Runner Performances Comparison using a Matrix Factorization Approach. icSPORTS 2017: 96-101 - [c154]Dona Valy, Michel Verleysen, Kimheng Sok:
Line segmentation for grayscale text images of khmer palm leaf manuscripts. IPTA 2017: 1-6 - [c153]Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex 'Sandy' Pentland, Michel Verleysen, Yves-Alexandre de Montjoye:
Improving individual predictions using social networks assortativity. WSOM 2017: 169-176 - 2016
- [c152]Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Michel Verleysen:
A state-space model on interactive dimensionality reduction. ESANN 2016 - [c151]Dona Valy, Michel Verleysen, Kimheng Sok:
Line Segmentation Approach for Ancient Palm Leaf Manuscripts Using Competitive Learning Algorithm. ICFHR 2016: 108-113 - [c150]Sergio García-Vega, Germán Castellanos-Domínguez, Michel Verleysen, John Aldo Lee:
Multi-step-ahead forecasting using kernel adaptive filtering. IJCNN 2016: 2132-2139 - [c149]Dimitri de Smet, Marc Francaux, Julien M. Hendrickx, Michel Verleysen:
Heart Rate Modelling as a Potential Physical Fitness Assessment for Runners and Cyclists. MLSA@PKDD/ECML 2016 - 2015
- [c148]Lieven Billiet, Borbála Hunyadi, Vladimir Matic, Sabine Van Huffel, Michel Verleysen, Maarten De Vos:
Single Trial Classification for Mobile BCI - A Multiway Kernel Approach. BIOSIGNALS 2015: 5-11 - [c147]Diego Hernán Peluffo-Ordóñez, Juan Carlos Alvarado-Pérez, John Aldo Lee, Michel Verleysen:
Geometrical homotopy for data visualization. ESANN 2015 - [c146]Alexandra Degeest, Michel Verleysen, Benoît Frénay:
Feature ranking in changing environments where new features are introduced. IJCNN 2015: 1-8 - 2014
- [c145]John Aldo Lee, Michel Verleysen:
Two key properties of dimensionality reduction methods. CIDM 2014: 163-170 - [c144]Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen:
Generalized kernel framework for unsupervised spectral methods of dimensionality reduction. CIDM 2014: 171-177 - [c143]Ludovic-Henri Gustin, François Durvaux, Stéphanie Kerckhof, François-Xavier Standaert, Michel Verleysen:
Support Vector Machines for Improved IP Detection with Soft Physical Hash Functions. COSADE 2014: 112-128 - [c142]Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Daniel Pérez, Francisco J. García-Fernández, Michel Verleysen:
Interactive dimensionality reduction for visual analytics. ESANN 2014 - [c141]John Aldo Lee, Diego Hernán Peluffo-Ordóñez, Michel Verleysen:
Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction. ESANN 2014 - [c140]Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen:
Recent methods for dimensionality reduction: A brief comparative analysis. ESANN 2014 - [c139]Alexandra Degeest, Benoît Frénay, Michel Verleysen:
Automatic correction of SVM for drifted data classification. EGC 2014: 311-316 - [c138]Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen, José L. Rodríguez, Germán Castellanos-Domínguez:
Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance. ICPRAM 2014: 310-315 - [c137]Emil Eirola, Amaury Lendasse, Francesco Corona, Michel Verleysen:
The delta test: The 1-NN estimator as a feature selection criterion. IJCNN 2014: 4214-4222 - [c136]Diego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen:
Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding. WSOM 2014: 65-74 - 2013
- [c135]Gauthier Doquire, Benoît Frénay, Michel Verleysen:
Risk Estimation and Feature Selection. ESANN 2013 - [c134]Francisco J. García-Fernández, Michel Verleysen, John Aldo Lee, Ignacio Díaz Blanco:
Sensitivity to parameter and data variations in dimensionality reduction techniques. ESANN 2013 - [c133]Guillaume Bernard, Michel Verleysen, John Aldo Lee:
Segmentation with Incremental Classifiers. ICIAP (2) 2013: 81-90 - [c132]Michel Verleysen, John Aldo Lee:
Nonlinear Dimensionality Reduction for Visualization. ICONIP (1) 2013: 617-622 - [c131]Matthias Schäfer, Leishi Zhang, Tobias Schreck, Andrada Tatu, John Aldo Lee, Michel Verleysen, Daniel A. Keim:
Improving projection-based data analysis by feature space transformations. Visualization and Data Analysis 2013: 86540H - [c130]Francisco J. García-Fernández, Michel Verleysen, John A. Lee, Ignacio Díaz Blanco:
Stability Comparison of Dimensionality Reduction Techniques Attending to Data and Parameter Variations. VAMP@EuroVis 2013 - [c129]Emilie Renard, Pierre Dupont, Michel Verleysen:
User Control for Adjusting Conflicting Objectives in Parameter-dependent Visualization of Data. VAMP@EuroVis 2013 - 2012
- [c128]Guillaume Bernard, Michel Verleysen, John Aldo Lee:
Incremental feature building and classification for image segmentation. ESANN 2012 - [c127]Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen:
Cluster homogeneity as a semi-supervised principle for feature selection using mutual information. ESANN 2012 - [c126]Benoît Frénay, Gauthier Doquire, Michel Verleysen:
On the Potential Inadequacy of Mutual Information for Feature Selection. ESANN 2012 - [c125]Jérôme Paul, Michel Verleysen, Pierre Dupont:
The stability of feature selection and class prediction from ensemble tree classifiers. ESANN 2012 - [c124]Gauthier Doquire, Michel Verleysen:
Handling Imprecise Labels in Feature Selection with Graph Laplacian. ICPRAM (1) 2012: 162-169 - [c123]Gauthier Doquire, Michel Verleysen:
A Comparison of Multivariate Mutual Information Estimators for Feature Selection. ICPRAM (1) 2012: 176-185 - 2011
- [c122]Gauthier Doquire, Gaël de Lannoy, Damien François, Michel Verleysen:
Feature Selection for Inter-patient Supervised Heart Beat Classification. BIOSIGNALS 2011: 67-73 - [c121]Gauthier Doquire, Michel Verleysen:
Feature Selection with Mutual Information for Uncertain Data. DaWaK 2011: 330-341 - [c120]Gauthier Doquire, Michel Verleysen:
Mutual information for feature selection with missing data. ESANN 2011 - [c119]Gauthier Doquire, Michel Verleysen:
Mutual information based feature selection for mixed data. ESANN 2011 - [c118]Gaël de Lannoy, Damien François, Michel Verleysen:
Class-Specific Feature Selection for One-Against-All Multiclass SVMs. ESANN 2011 - [c117]Gauthier Doquire, Michel Verleysen:
An Hybrid Approach to Feature Selection for Mixed Categorical and Continuous Data. KDIR 2011: 394-401 - [c116]Michel Verleysen:
Feature Selection for High-dimensional Data Analysis. IJCCI (NCTA) 2011: 23 - [c115]Gauthier Doquire, Michel Verleysen:
Feature Selection for Multi-label Classification Problems. IWANN (1) 2011: 9-16 - [c114]Gauthier Doquire, Michel Verleysen:
Graph Laplacian for Semi-supervised Feature Selection in Regression Problems. IWANN (1) 2011: 248-255 - [c113]Carlos Guerrero-Mosquera, Michel Verleysen, Ángel Navia-Vázquez:
Dimensionality reduction for EEG classification using Mutual Information and SVM. MLSP 2011: 1-6 - [c112]Benoît Frénay, Gaël de Lannoy, Michel Verleysen:
Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs. ECML/PKDD (1) 2011: 455-470 - [c111]Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille:
Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. WSOM 2011: 298-307 - [c110]John Aldo Lee, Michel Verleysen:
Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants. ICCS 2011: 538-547 - 2010
- [c109]Gaël de Lannoy, Damien François, Jean Delbeke, Michel Verleysen:
Feature Relevance Assessment in Automatic Inter-patient Heart Beat Classification. BIOSIGNALS 2010: 13-20 - [c108]Gaël de Lannoy, Damien François, Jean Delbeke, Michel Verleysen:
Weighted SVMs and Feature Relevance Assessment in Supervised Heart Beat Classification. BIOSTEC (Selected Papers) 2010: 212-223 - [c107]Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen:
Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient. CIARP 2010: 509-516 - [c106]John A. Lee, Michel Verleysen:
On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding. COMPSTAT 2010: 337-346 - [c105]Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille:
Self Organizing Star (SOS) for health monitoring. ESANN 2010 - [c104]Arnaud de Decker, John Aldo Lee, Damien François, Michel Verleysen:
Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising. ESANN 2010 - [c103]Benoît Frénay, Michel Verleysen:
Using SVMs with randomised feature spaces: an extreme learning approach. ESANN 2010 - [c102]Yoan Miche, Emil Eirola, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse, Michel Verleysen:
Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. ESANN 2010 - [c101]Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee:
Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN 2010 - [c100]John Aldo Lee, Michel Verleysen:
Unsupervised dimensionality reduction: Overview and recent advances. IJCNN 2010: 1-8 - [c99]Victor Onclinx, John Aldo Lee, Vincent Wertz, Michel Verleysen:
Dimensionality reduction by rank preservation. IJCNN 2010: 1-8 - [c98]Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille:
Trajectory Clustering for Vibration Detection in Aircraft Engines. ICDM 2010: 362-375 - [c97]Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille:
Aircraft Engine Health Monitoring Using Self-Organizing Maps. ICDM 2010: 405-417 - 2009
- [c96]Gaël de Lannoy, Michel Verleysen, Jean Delbeke:
Assessment and Comparison of Time Realignment Methods for Supervised Heart Beat Classification. BIOSIGNALS 2009: 239-244 - [c95]Michel Verleysen, Fabrice Rossi, Damien François:
Advances in Feature Selection with Mutual Information. Similarity-Based Clustering 2009: 52-69 - [c94]Arnaud de Decker, John Aldo Lee, Michel Verleysen:
Patch-based bilateral filter and local m-smoother for image denoising. ESANN 2009 - [c93]Benoît Frénay, Gaël de Lannoy, Michel Verleysen:
Improving the transition modelling in hidden Markov models for ECG segmentation. ESANN 2009 - [c92]Catherine Krier, Damien François, Fabrice Rossi, Michel Verleysen:
Supervised variable clustering for classification of NIR spectra. ESANN 2009 - [c91]John Aldo Lee, Arnaud de Decker, Michel Verleysen:
Adaptive anisotropic denoising: a bootstrapped procedure. ESANN 2009 - [c90]John Aldo Lee, Michel Verleysen:
Simbed: Similarity-Based Embedding. ICANN (2) 2009: 95-104 - [c89]Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaille, Michel Verleysen:
Fault Prediction in Aircraft Engines Using Self-Organizing Maps. WSOM 2009: 37-44 - 2008
- [c88]Gaël de Lannoy, Arnaud de Decker, Michel Verleysen:
A Supervised Learning Approach Based on the Continuous Wavelet Transform for R Spike Detection in ECG. BIOSIGNALS (1) 2008: 140-145 - [c87]Gaël de Lannoy, Arnaud de Decker, Michel Verleysen:
A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs. BIOSTEC (Selected Papers) 2008: 256-264 - [c86]Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen:
Using the Delta Test for Variable Selection. ESANN 2008: 25-30 - [c85]Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen:
K-nearest neighbours based on mutual information for incomplete data classification. ESANN 2008: 37-42 - [c84]Victor Onclinx, Vincent Wertz, Michel Verleysen:
Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity. ESANN 2008: 43-48 - [c83]John Aldo Lee, Michel Verleysen:
Rank-based quality assessment of nonlinear dimensionality reduction. ESANN 2008: 49-54 - [c82]Rui Nian, Guangrong Ji, Michel Verleysen:
An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis. FSKD (2) 2008: 14-18 - [c81]Rui Nian, Guangrong Ji, Michel Verleysen:
An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis. ICIC (2) 2008: 693-700 - [c80]Nicolas Delannay, Cédric Archambeau, Michel Verleysen:
Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs. PAKDD 2008: 527-535 - [c79]John Aldo Lee, Michel Verleysen:
Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods. FSDM 2008: 21-35 - 2007
- [c78]Catherine Krier, Damien François, Fabrice Rossi, Michel Verleysen:
Feature clustering and mutual information for the selection of variables in spectral data. ESANN 2007: 157-162 - [c77]Cédric Archambeau, Nicolas Delannay, Michel Verleysen:
Mixtures of robust probabilistic principal component analyzers. ESANN 2007: 229-234 - [c76]Nicolas Delannay, Michel Verleysen:
Collaborative Filtering with interlaced Generalized Linear Models. ESANN 2007: 247-252 - [c75]Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen:
Is the General Form of Renyi's Entropy a Contrast for Source Separation? ICA 2007: 129-136 - [c74]Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury:
Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. IWANN 2007: 522-529 - 2006
- [c73]Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen:
Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN 2006: 227-232 - [c72]Damien François, Vincent Wertz, Michel Verleysen:
The permutation test for feature selection by mutual information. ESANN 2006: 239-244 - [c71]John Aldo Lee, Frédéric Vrins, Michel Verleysen:
Non-orthogonal Support Width ICA. ESANN 2006: 351-358 - [c70]Geoffroy Simon, Michel Verleysen:
Lag selection for regression models using high-dimensional mutual information. ESANN 2006: 395-400 - [c69]Frédéric Vrins, Michel Verleysen:
Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation. ICA 2006: 262-269 - [c68]Frédéric Vrins, Michel Verleysen:
Minimum Support ICA Using Order Statistics. Part II: Performance Analysis. ICA 2006: 270-277 - [c67]Frédéric Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen:
Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). ICA 2006: 747-754 - [c66]Fabrice Rossi, Damien François, Vincent Wertz, Michel Verleysen:
A Functional Approach to Variable Selection in Spectrometric Problems. ICANN (1) 2006: 11-20 - [c65]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén:
Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50 - [c64]Cédric Archambeau, Nicolas Delannay, Michel Verleysen:
Robust probabilistic projections. ICML 2006: 33-40 - [c63]Nicolas Delannay, Cédric Archambeau, Michel Verleysen:
Automatic Adjustment of Discriminant Adaptive Nearest Neighbor. ICPR (2) 2006: 552-535 - [c62]Cédric Archambeau, Maurizio Valle, Alex Assenza, Michel Verleysen:
Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. ISCAS 2006 - 2005
- [c61]Luh Yen, Denis Vanvyve, Fabien Wouters, François Fouss, Michel Verleysen, Marco Saerens:
clustering using a random walk based distance measure. ESANN 2005: 317-324 - [c60]Damien François, Vincent Wertz, Michel Verleysen:
Non-Euclidean metrics for similarity search in noisy datasets. ESANN 2005: 339-344 - [c59]Antti Sorjamaa, Amaury Lendasse, Michel Verleysen:
Pruned lazy learning models for time series prediction. ESANN 2005: 509-514 - [c58]John Aldo Lee, Frédéric Vrins, Michel Verleysen:
A simple ICA algorithm for non-differentiable contrasts. EUSIPCO 2005: 1-4 - [c57]Frédéric Vrins, John Aldo Lee, Michel Verleysen:
Can we always trust entropy minima in the ICA context? EUSIPCO 2005: 1-4 - [c56]Cédric Archambeau, Michel Verleysen:
Manifold Constrained Variational Mixtures. ICANN (2) 2005: 279-284 - [c55]Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen:
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. ICANN (2) 2005: 625-630 - [c54]Frédéric Vrins, Michel Verleysen, Christian Jutten:
SWM: a class of convex contrasts for source separation. ICASSP (5) 2005: 161-164 - [c53]Dinh-Tuan Pham, Frédéric Vrins, Michel Verleysen:
Spurious entropy minima for multimodal source separation. ISSPA 2005: 37-40 - [c52]Michel Verleysen, Damien François:
The Curse of Dimensionality in Data Mining and Time Series Prediction. IWANN 2005: 758-770 - [c51]Cédric Archambeau, Michel Verleysen:
Manifold Constrained Finite Gaussian Mixtures. IWANN 2005: 820-828 - [c50]Frédéric Vrins, John Aldo Lee, Michel Verleysen:
Filtering-Free Blind Separation of Correlated Images. IWANN 2005: 1091-1099 - 2004
- [c49]Cédric Archambeau, Frédéric Vrins, Michel Verleysen:
Flexible and Robust Bayesian Classification by Finite Mixture Models. ESANN 2004: 75-80 - [c48]Frédéric Vrins, Cédric Archambeau, Michel Verleysen:
Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? ESANN 2004: 211-216 - [c47]John Aldo Lee, Michel Verleysen:
How to project 'circular' manifolds using geodesic distances? ESANN 2004: 223-230 - [c46]Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez, Michel Verleysen:
Functional radial basis function networks. ESANN 2004: 313-318 - [c45]Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen:
Fast bootstrap for least-square support vector machines. ESANN 2004: 525-530 - [c44]John Aldo Lee, Christian Jutten, Michel Verleysen:
Non-linear ICA by Using Isometric Dimensionality Reduction. ICA 2004: 710-717 - [c43]Frédéric Vrins, Christian Jutten, Michel Verleysen:
Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis. ICA 2004: 1017-1014 - [c42]Cédric Archambeau, Torsten Butz, Vlad Popovici, Michel Verleysen, Jean-Philippe Thiran:
Supervised Nonparametric Information Theoretic Classification. ICPR (3) 2004: 414-417 - 2003
- [c41]Cédric Archambeau, John Aldo Lee, Michel Verleysen:
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN 2003: 99-106 - [c40]Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen:
Fast approximation of the bootstrap for model selection. ESANN 2003: 475-480 - [c39]John Aldo Lee, Cédric Archambeau, Michel Verleysen:
Locally Linear Embedding versus Isotop. ESANN 2003: 527-534 - [c38]Amaury Lendasse, Vincent Wertz, Michel Verleysen:
Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models. ICANN 2003: 573-580 - [c37]Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen:
Nonlinear Time Series Prediction by Weighted Vector Quantization. International Conference on Computational Science 2003: 417-426 - [c36]Michel Verleysen, Damien François, Geoffroy Simon, Vincent Wertz:
On the Effects of Dimensionality on Data Analysis with Neural Networks. IWANN (2) 2003: 105-112 - [c35]Geoffroy Simon, Amaury Lendasse, Michel Verleysen:
Bootstrap for Model Selection: Linear Approximation of the Optimism. IWANN (1) 2003: 182-189 - [c34]Frédéric Vrins, John Aldo Lee, Michel Verleysen, Vincent Vigneron, Christian Jutten:
Improving independent component analysis performances by variable selection. NNSP 2003: 359-368 - 2002
- [c33]Amaury Lendasse, Marie Cottrell, Vincent Wertz, Michel Verleysen:
Prediction of electric load using Kohonen maps - Application to the Polish electricity consumption. ACC 2002: 3684-3689 - [c32]John Aldo Lee, Amaury Lendasse, Michel Verleysen:
Curvilinear Distance Analysis versus Isomap. ESANN 2002: 185-192 - [c31]Nabil Benoudjit, Cédric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen:
Width optimization of the Gaussian kernels in Radial Basis Function Networks. ESANN 2002: 425-432 - [c30]John Aldo Lee, Michel Verleysen:
Nonlinear Projection with the Isotop Method. ICANN 2002: 933-938 - 2001
- [c29]Eric de Bodt, Marie Cottrell, Michel Verleysen:
Are they really neighbors? A statistical analysis of the SOM algorithm output. AISTATS 2001: 87-92 - [c28]Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen:
Input data reduction for the prediction of financial time series. ESANN 2001: 237-244 - [c27]Carlos Dualibe, Paul G. A. Jespers, Michel Verleysen:
Embedded fuzzy control for automatic channel equalization after digital transmissions. ISCAS (3) 2001: 173-176 - [c26]Carlos Dualibe, Paul G. A. Jespers, Michel Verleysen:
On Designing Mixed-Signal Fuzzy Logic Controllers as Embedded Subsystems in Standard CMOS Technologies. SBCCI 2001: 194-200 - [c25]Marie Cottrell, Eric de Bodt, Michel Verleysen:
A Statistical Tool to Assess the Reliability of Self-Organizing Maps. WSOM 2001: 7-14 - [c24]John A. Lee, Nicolas Donckers, Michel Verleysen:
Recursive learning rules for SOMs. WSOM 2001: 67-72 - 2000
- [c23]John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen:
A robust non-linear projection method. ESANN 2000: 13-20 - [c22]Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen:
Time series forecasting using CCA and Kohonen maps - application to electricity consumption. ESANN 2000: 329-334 - [c21]Jader A. De Lima, Sidnei F. Silva, Adriano S. Cordeiro, Alexandro C. Araujo, Michel Verleysen:
A low-power silicon-on-insulator PWM discriminator for biomedical applications. ISCAS 2000: 277-280 - [c20]Carlos Dualibe, Paul G. A. Jespers, Michel Verleysen:
A 5.26 Mflips programmable analogue fuzzy logic controller in a standard CMOS 2.4 μ technology. ISCAS 2000: 377-380 - [c19]Nicolas Donckers, Carlos Dualibe, Michel Verleysen:
A current-mode CMOS loser-take-all with minimum function for neural computations. ISCAS 2000: 415-418 - 1999
- [c18]Eric de Bodt, Marie Cottrell, Michel Verleysen:
Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. ESANN 1999: 19-26 - [c17]Nicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen:
Extraction of intrinsic dimension using CCA - Application to blind sources separation. ESANN 1999: 339-344 - [c16]Michel Verleysen, Eric de Bodt, Amaury Lendasse:
Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection. IWANN (2) 1999: 596-605 - 1998
- [c15]Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grégoire:
Forecasting time-series by Kohonen classification. ESANN 1998: 221-226 - 1997
- [c14]Eric de Bodt, Michel Verleysen, Marie Cottrell:
Kohonen maps versus vector quantization for data analysis. ESANN 1997 - 1995
- [c13]Jean-Luc Voz, Michel Verleysen, Philippe Thissen, Jean-Didier Legat:
Suboptimal Bayesian classification by vector quantization with small clusters. ESANN 1995 - [c12]Michel Verleysen, Jean-Luc Voz, Philippe Thissen, Jean-Didier Legat:
A statistical neural network for high-dimensional vector classification. ICNN 1995: 990-994 - [c11]Jean-Luc Voz, Michel Verleysen, Philippe Thissen, Jean-Didier Legat:
A Practical View of Suboptimal Bayesian Classification with Radial Gaussian Kernels. IWANN 1995: 404-411 - [c10]Philippe Thissen, Michel Verleysen, Jean-Didier Legat, Jordi Madrenas, Jordi Domínguez:
A VLSI System for Neural Bayesian and LVQ Classification. IWANN 1995: 696-703 - [c9]Philippe Thissen, Michel Verleysen, Jean-Didier Legat:
An Associative Processor Dedicated to Classification by Neural Methods. IWANN 1995: 704-711 - 1994
- [c8]Pierre Comon, Jean-Luc Voz, Michel Verleysen:
Estimation of performance bounds in supervised classification. ESANN 1994 - [c7]Michel Verleysen, Katerina Hlavácková:
An optimized RBF network for approximation of functions. ESANN 1994 - 1993
- [c6]Benoît Simon, Benoît Macq, Michel Verleysen:
Laplacian pyramid with multilayer perceptrons interpolators. ESANN 1993 - [c5]Michel Verleysen, Philippe Thissen, Jean-Didier Legat:
Optimal decision surfaces in LVQ1 classiffication of patterns. ESANN 1993 - [c4]Michel Verleysen, Philippe Thissen, Jean-Didier Legat:
Linear Vector Classification: An Improvement on LVQ Algorithms to Create Classes of Patterns. IWANN 1993: 340-345 - 1992
- [c3]Jean-Didier Legat, J. P. Cornil, Damien Macq, Michel Verleysen:
A real-time VLSI-based architecture for multi-motion estimation. ICPR (4) 1992: 147-150 - 1991
- [c2]Michel Verleysen, Paul G. A. Jespers:
Analog VLSI Synapse Matrix with Enhanced Stochastic Computations. IWANN 1991: 315-321 - 1989
- [c1]Michel Verleysen, Paul G. A. Jespers:
An Analog VLSI Architecture for Large Neural Networks. NATO Neurocomputing 1989: 141-144
Parts in Books or Collections
- 2011
- [p1]Damien François, Vincent Wertz, Michel Verleysen:
Choosing the Metric: A Simple Model Approach. Meta-Learning in Computational Intelligence 2011: 97-115
Editorship
- 2009
- [e4]Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann:
Similarity-Based Clustering, Recent Developments and Biomedical Applications [outcome of a Dagstuhl Seminar]. Lecture Notes in Computer Science 5400, Springer 2009, ISBN 978-3-642-01804-6 [contents] - 2007
- [e3]Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann:
Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007. Dagstuhl Seminar Proceedings 07131, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007 [contents] - 2002
- [e2]Michel Verleysen:
10th Eurorean Symposium on Artificial Neural Networks, ESANN 2002, Bruges, Belgium, April 24-26, 2002, Proceedings. 2002, ISBN 2-930307-02-1 [contents] - 1997
- [e1]Michel Verleysen:
5th Eurorean Symposium on Artificial Neural Networks, ESANN 1997, Bruges, Belgium, April 16-18, 1997, Proceedings. D-Facto public 1997, ISBN 2-9600049-7-3 [contents]
Informal and Other Publications
- 2023
- [i18]Reza Sameni, Frédéric Vrins, Fabienne Parmentier, Christophe Hérail, Vincent Vigneron, Michel Verleysen, Christian Jutten, Mohammad B. Shamsollahi:
Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria. CoRR abs/2302.00206 (2023) - 2022
- [i17]Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee:
SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. CoRR abs/2202.12087 (2022) - 2020
- [i16]Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu:
Perplexity-free Parametric t-SNE. CoRR abs/2010.01359 (2020) - 2015
- [i15]Daniel A. Keim, Tamara Munzner, Fabrice Rossi, Michel Verleysen:
Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101). Dagstuhl Reports 5(3): 1-27 (2015) - 2012
- [i14]Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel:
Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Dagstuhl Reports 2(2): 58-83 (2012) - 2009
- [i13]Michel Verleysen, Fabrice Rossi, Damien François:
Advances in Feature Selection with Mutual Information. CoRR abs/0909.0635 (2009) - 2008
- [i12]Catherine Krier, Fabrice Rossi, Damien François, Michel Verleysen:
A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis. CoRR abs/0802.0287 (2008) - 2007
- [i11]Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann:
07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology 2007 - [i10]Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann:
07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology 2007 - [i9]Fabrice Rossi, Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen:
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling. CoRR abs/0709.3427 (2007) - [i8]Fabrice Rossi, Damien François, Vincent Wertz, Marc Meurens, Michel Verleysen:
Fast Selection of Spectral Variables with B-Spline Compression. CoRR abs/0709.3639 (2007) - [i7]Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen:
Resampling methods for parameter-free and robust feature selection with mutual information. CoRR abs/0709.3640 (2007) - [i6]Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez, Michel Verleysen:
Representation of Functional Data in Neural Networks. CoRR abs/0709.3641 (2007) - [i5]Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen:
Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps. CoRR abs/cs/0701052 (2007) - [i4]Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen:
On the use of self-organizing maps to accelerate vector quantization. CoRR abs/math/0701142 (2007) - [i3]Eric de Bodt, Marie Cottrell, Michel Verleysen:
Statistical tools to assess the reliability of self-organizing maps. CoRR abs/math/0701144 (2007) - 2006
- [i2]Marie Cottrell, Michel Verleysen:
Advances in Self Organising Maps. CoRR abs/cs/0611058 (2006) - [i1]Frédéric Vrins, Dinh-Tuan Pham, Michel Verleysen:
Mixing and non-mixing local minima of the entropy contrast for blind source separation. CoRR abs/cs/0611106 (2006)
Coauthor Index
John A. Lee 0001
aka: John Aldo Lee
aka: John Aldo Lee
[j82] [j80] [j79] [j78] [j73] [j71] [j67] [j66] [j60] [j52] [j50] [j49] [j48] [j40] [j35] [j31] [j28] [j24] [j18] [j14] [j12] [c176] [c175] [c174] [c173] [c169] [c167] [c163] [c162] [c150] [c147] [c145] [c144] [c141] [c140] [c138] [c136] [c134] [c133] [c132] [c131] [c130] [c128] [c110] [c106] [c104] [c101] [c100] [c99] [c94] [c91] [c90] [c83] [c79] [c71] [c58] [c57] [c50] [c47] [c44] [c41] [c39] [c34] [c32] [c31] [c30] [c28] [c24] [c23] [c22] [i17] [i16]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-14 00:50 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
