Nathalie Villa-Vialaneix

发表

Support Vector Machine For Functional Data Classification

Fabrice Rossi, Nathalie Villa-Vialaneix, F. Rossi, 2006, ESANN.

Aggregating Self-Organizing Maps with Topology Preservation

Nathalie Villa-Vialaneix, Jérôme Mariette, 2016, WSOM.

Recherche et représentation de communautés dans un grand graphe. Une approche combinée

Quoc Dinh Truong, Taoufiq Dkaki, Nathalie Villa-Vialaneix, 2010, Document Numérique.

Inferring Networks from Multiple Samples with Consensus LASSO

Nathalie Villa-Vialaneix, Matthieu Vignes, Nathalie Viguerie, 2014 .

Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach

Fabrice Rossi, Nathalie Villa-Vialaneix, F. Rossi, 2010, Neurocomputing.

Bagged Kernel SOM

Madalina Olteanu, Nathalie Villa-Vialaneix, Jérôme Mariette, 2014, WSOM.

Accelerating stochastic kernel SOM

Madalina Olteanu, Fabrice Rossi, Nathalie Villa-Vialaneix, 2017, ESANN.

Beyond multidimensional data in model visualization: High‐dimensional and complex nonnumeric data

Nathalie Villa-Vialaneix, Anne Ruiz-Gazen, A. Ruiz-Gazen, 2015, Stat. Anal. Data Min..

Efficient interpretable variants of online SOM for large dissimilarity data

Madalina Olteanu, Nathalie Villa-Vialaneix, Jérôme Mariette, 2017, Neurocomputing.

System Model Network for Adipose Tissue Signatures Related to Weight Changes in Response to Calorie Restriction and Subsequent Weight Maintenance

Nathalie Villa-Vialaneix, Nathalie Viguerie, Emilie Montastier, 2015, PLoS Comput. Biol..

A Functional Density-Based Nonparametric Approach for Statistical Calibration

Nathalie Villa-Vialaneix, Isneri Talavera-Bustamante, Rolando J. Biscay, 2010, CIARP.

A comparison of eight metamodeling techniques for the simulation of N2O fluxes and N leaching from corn crops

Nathalie Villa-Vialaneix, Adrian Leip, Marco Ratto, 2012, Environ. Model. Softw..

Various Approaches for Predicting Land Cover in Mountain Areas

Martin Paegelow, Nathalie Villa-Vialaneix, Frédéric Ferraty, 2007, Commun. Stat. Simul. Comput..

Consistency of Derivative Based Functional Classifiers on Sampled Data

Fabrice Rossi, Nathalie Villa-Vialaneix, F. Rossi, 2008, ESANN.

sexy-rgtk: a package for programming RGtk2 GUI in a user-friendly manner

Nathalie Villa-Vialaneix, Damien Leroux, 2013 .

SOM Bound to Realize Euclidean and Relational Outputs

Madalina Olteanu, Nathalie Villa-Vialaneix, Julien Boelaert, 2015 .

On-Line Relational SOM for Dissimilarity Data pdf

Marie Cottrell, Madalina Olteanu, Nathalie Villa-Vialaneix, 2012, WSOM.

Comparison of network inference packages and methods for multiple network inference

Nathalie Villa-Vialaneix, Laurence Liaubet, Nathalie Viguerie, 2012 .

Data Analysis of Social Simulations Outputs - Interpreting the Dispersion of Variables

Nathalie Villa-Vialaneix, Christophe Sibertin-Blanc, 2014, MABS.

Analysis of the inﬂuence of a network on the values of its nodes : the use of spatial indexes.

Nathalie Villa-Vialaneix, Thibault Laurent, Thibault Laurent, 2010 .

Using SOMbrero for clustering and visualizing complex data

Madalina Olteanu, Nathalie Villa-Vialaneix, 2016 .

Using spatial indexes for labeled network analysis

Nathalie Villa-Vialaneix, Thibault Laurent, Thibault Laurent, 2011 .

Beyond model visualization for multi-dimensional data: high-dimension and complex non numeric data

Nathalie Villa-Vialaneix, Anne Ruiz-Gazen, A. Ruiz-Gazen, 2015 .

A comparison of three learning methods to predict N2O fluxes and N leaching

Nathalie Villa-Vialaneix, Adrian Leip, Marco Follador, 2010 .

Random Forests for Big Data

Jean-Michel Poggi, Nathalie Villa-Vialaneix, Robin Genuer, 2015, Big Data Res..

Batch kernel SOM and related Laplacian methods for social network analysis

Fabrice Rossi, Nathalie Villa-Vialaneix, Bertrand Jouve, 2008, Neurocomputing.

Sensitivity of the process-based model DNDC on microbiological parameters

Nathalie Villa-Vialaneix, Adrian Leip, Marco Follador, 2011 .

On-line relational and multiple relational SOM

Madalina Olteanu, Nathalie Villa-Vialaneix, Madalina Olteanu, 2015, Neurocomputing.

Spatial correlation in bipartite networks

Fabrice Rossi, Nathalie Villa-Vialaneix, Bertrand Jouve, 2013 .

Multiple Kernel Self-Organizing Maps

Madalina Olteanu, Nathalie Villa-Vialaneix, Christine Cierco-Ayrolles, 2013, ESANN.

Neural Networks for Complex Data

Marie Cottrell, Madalina Olteanu, Fabrice Rossi, 2012, KI - Künstliche Intelligenz.

Multiple hot‐deck imputation for network inference from RNA sequencing data

Nathalie Villa-Vialaneix, Pierre-Antoine Gourraud, Armand Valsesia, 2018, Bioinform..

Sparse Online Self-Organizing Maps for Large Relational Data

Madalina Olteanu, Nathalie Villa-Vialaneix, Madalina Olteanu, 2016, WSOM.

SOMbrero: An R Package for Numeric and Non-numeric Self-Organizing Maps

Madalina Olteanu, Nathalie Villa-Vialaneix, Julien Boelaert, 2014, WSOM.

Unsupervised multiple kernel learning for heterogeneous data integration

Nathalie Villa-Vialaneix, Jérôme Mariette, 2017 .

Theoretical and Applied Aspects of the Self-Organizing Maps

Marie Cottrell, Madalina Olteanu, Fabrice Rossi, 2016, WSOM.

Exploration of a Large Database of French Notarial Acts with Social Network Methods

Fabrice Rossi, Nathalie Villa-Vialaneix, Florent Hautefeuille, 2011 .

Topologically Ordered Graph Clustering via Deterministic Annealing

Fabrice Rossi, Nathalie Villa-Vialaneix, F. Rossi, 2009, ESANN.

Joint network inference with the consensual LASSO

Nathalie Villa-Vialaneix, 2014 .

Clustering a medieval social network by SOM using a kernel based distance measure

Nathalie Villa-Vialaneix, Romain Boulet, 2007, ESANN.

Random forests and big data

Jean-Michel Poggi, Nathalie Villa-Vialaneix, Robin Genuer, 2015 .

Méthodes pour l’apprentissage de données massives

Fabrice Rossi, Nathalie Villa-Vialaneix, 2018 .

Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study

Sébastien Massoni, Madalina Olteanu, Nathalie Villa-Vialaneix, 2013, IWANN.

Unsupervised multiple kernel learning for heterogeneous data integration

Nathalie Villa-Vialaneix, Jérôme Mariette, J. Mariette, 2017, bioRxiv.

Identification of non linear multivariable processes modelled on reproducing Kernel Hilbert space: Application to Tennessee process

Nathalie Villa-Vialaneix, Hassani Messaoud, Okba Taouali, 2009, ICONS.

Integrating TARA Oceans Datasets Using Unsupervised Multiple Kernel Learning

Nathalie Villa-Vialaneix, Jérôme Mariette, J. Mariette, 2017 .

Interpretable sparse SIR for functional data

Victor Picheny, Nathalie Villa-Vialaneix, Rémi Servien, 2016, Statistics and Computing.

On Combining Wavelets Expansion and Sparse Linear Models for Regression on Metabolomic Data and Biomarker Selection

Philippe Besse, Nathalie Villa-Vialaneix, Alain Paris, 2016, Commun. Stat. Simul. Comput..

Stochastic self-organizing map variants with the R package SOMbrero

Nathalie Villa-Vialaneix, N. Villa-Vialaneix, 2017, 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM).

Consistency of functional learning methods based on derivatives

Fabrice Rossi, Nathalie Villa-Vialaneix, F. Rossi, 2011, Pattern Recognit. Lett..

Depicting Gene Co-expression Networks Underlying eQTLs

Nathalie Villa-Vialaneix, Laurence Liaubet, Magali SanCristobal, 2016 .

Determinants of Human Adipose Tissue Gene Expression: Impact of Diet, Sex, Metabolic Status, and Cis Genetic Regulation

Nathalie Villa-Vialaneix, Nathalie Viguerie, Arne Astrup, 2012, PLoS genetics.

Phenotypic prediction based on metabolomic data : lasso vs Bolasso, primary data vs wavelet transformation

Nathalie Villa-Vialaneix, Denis Milan, Florian Rohart, 2010 .

Statistical exploratory analysis of agent-based simulations in a social context

Nathalie Villa-Vialaneix, Christophe Sibertin-Blanc, Pascal Roggero, 2014 .

A non parametric approach for calibration with functional data

Isneri Talavera, Nathalie Villa-Vialaneix, Rolando J. Biscay, 2015 .