Nathalie Vialaneix

Orcid: 0000-0003-1156-0639

According to our database1, Nathalie Vialaneix authored at least 39 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Should we really use graph neural networks for transcriptomic prediction?
Briefings Bioinform., January, 2024

2023
Asterics: a simple tool for the ExploRation and Integration of omiCS data.
BMC Bioinform., December, 2023

2022
R-miss-tastic: a unified platform for missing values methods and workflows.
R J., 2022

2021
Applicability and Interpretability of Ward's Hierarchical Agglomerative Clustering With or Without Contiguity Constraints.
J. Classif., 2021

2019
Interpretable sparse SIR for functional data.
Stat. Comput., 2019

ASICS: an R package for a whole analysis workflow of 1D 1H NMR spectra.
Bioinform., 2019

Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics.
Algorithms Mol. Biol., 2019

2018
Unsupervised multiple kernel learning for heterogeneous data integration.
Bioinform., 2018

Multiple hot-deck imputation for network inference from RNA sequencing data.
Bioinform., 2018

2017
Efficient interpretable variants of online SOM for large dissimilarity data.
Neurocomputing, 2017

Random Forests for Big Data.
Big Data Res., 2017

Stochastic self-organizing map variants with the R package SOMbrero.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

Accelerating stochastic kernel SOM.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
On Combining Wavelets Expansion and Sparse Linear Models for Regression on Metabolomic Data and Biomarker Selection.
Commun. Stat. Simul. Comput., 2016

Sparse Online Self-Organizing Maps for Large Relational Data.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Aggregating Self-Organizing Maps with Topology Preservation.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Theoretical and Applied Aspects of the Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

2015
Beyond multidimensional data in model visualization: High-dimensional and complex nonnumeric data.
Stat. Anal. Data Min., 2015

System Model Network for Adipose Tissue Signatures Related to Weight Changes in Response to Calorie Restriction and Subsequent Weight Maintenance.
PLoS Comput. Biol., 2015

On-line relational and multiple relational SOM.
Neurocomputing, 2015

2014
Bagged Kernel SOM.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

SOMbrero: An R Package for Numeric and Non-numeric Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Data Analysis of Social Simulations Outputs - Interpreting the Dispersion of Variables.
Proceedings of the Multi-Agent-Based Simulation XV - International Workshop, 2014

2013
Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study.
Proceedings of the Advances in Computational Intelligence, 2013

Multiple Kernel Self-Organizing Maps.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Neural Networks for Complex Data.
Künstliche Intell., 2012

A comparison of eight metamodeling techniques for the simulation of N<sub>2</sub>O fluxes and N leaching from corn crops.
Environ. Model. Softw., 2012

On-Line Relational SOM for Dissimilarity Data.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

2011
Consistency of functional learning methods based on derivatives.
Pattern Recognit. Lett., 2011

Recherche et représentation de communautés dans un grand graphe. Une approche combinée.
Document Numérique, 2011

2010
Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach.
Neurocomputing, 2010

A Functional Density-Based Nonparametric Approach for Statistical Calibration.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009
Identification of non linear multivariable processes modelled on reproducing Kernel Hilbert space: Application to Tennessee process.
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009

Topologically Ordered Graph Clustering via Deterministic Annealing.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Batch kernel SOM and related Laplacian methods for social network analysis.
Neurocomputing, 2008

Consistency of Derivative Based Functional Classifiers on Sampled Data.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
Various Approaches for Predicting Land Cover in Mountain Areas.
Commun. Stat. Simul. Comput., 2007

Clustering a medieval social network by SOM using a kernel based distance measure.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Support vector machine for functional data classification.
Neurocomputing, 2006


  Loading...