| Random forests for big data R Genuer, JM Poggi, C Tuleau-Malot, N Villa-Vialaneix Big Data Research 9, 28-46, 2017 | 272 | 2017 |
| Support vector machine for functional data classification F Rossi, N Villa Neurocomputing 69 (7-9), 730-742, 2006 | 270 | 2006 |
| Batch kernel SOM and related Laplacian methods for social network analysis R Boulet, B Jouve, F Rossi, N Villa Neurocomputing 71 (7-9), 1257-1273, 2008 | 152 | 2008 |
| A comparison of eight metamodeling techniques for the simulation of N2O fluxes and N leaching from corn crops N Villa-Vialaneix, M Follador, M Ratto, A Leip Environmental Modelling & Software 34, 51-66, 2012 | 124 | 2012 |
| Unsupervised multiple kernel learning for heterogeneous data integration J Mariette, N Villa-Vialaneix Bioinformatics 34 (6), 1009-1015, 2018 | 88 | 2018 |
| Determinants of Human Adipose Tissue Gene Expression: Impact of Diet, Sex, Metabolic Status, and Cis Genetic Regulation N Viguerie, E Montastier, JJ Maoret, B Roussel, M Combes, C Valle, ... Public Library of Science 8 (9), e1002959, 2012 | 75 | 2012 |
| Multi-species annotation of transcriptome and chromatin structure in domesticated animals S Foissac, S Djebali, K Munyard, N Vialaneix, A Rau, K Muret, D Esquerré, ... BMC biology 17, 1-25, 2019 | 69 | 2019 |
| The structure of a gene co-expression network reveals biological functions underlying eQTLs N Villa-Vialaneix, L Liaubet, T Laurent, P Cherel, A Gamot, ... PloS one 8 (4), e60045, 2013 | 50 | 2013 |
| Storms prediction: logistic regression vs random forest for unbalanced data A Ruiz, N Villa Studies in Business, Industry And Government Statistics 12 (9), 91-101, 2008 | 50 | 2008 |
| On-line relational and multiple relational SOM M Olteanu, N Villa-Vialaneix Neurocomputing 147, 15-30, 2015 | 49 | 2015 |
| Theoretical and applied aspects of the self-organizing maps M Cottrell, M Olteanu, F Rossi, N Villa-Vialaneix Advances in Self-Organizing Maps and Learning Vector Quantization …, 2016 | 48 | 2016 |
| Optimizing an organized modularity measure for topographic graph clustering: a deterministic annealing approach F Rossi, N Villa-Vialaneix Neurocomputing 73 (7-9), 1142-1163, 2010 | 46 | 2010 |
| Self-organizing maps, theory and applications M Cottrell, M Olteanu, F Rossi, NN Villa-Vialaneix Revista de Investigacion Operacional 39 (1), 1-22, 2018 | 43 | 2018 |
| Multilayer perceptron with functional inputs: an inverse regression approach L Ferré, N Villa Scandinavian Journal of Statistics 33 (4), 807-823, 2006 | 43 | 2006 |
| Phenotypic prediction based on metabolomic data for growing pigs from three main European breeds F Rohart, A Paris, B Laurent, C Canlet, J Molina, MJ Mercat, T Tribout, ... Journal of animal science 90 (13), 4729-4740, 2012 | 40 | 2012 |
| System model network for adipose tissue signatures related to weight changes in response to calorie restriction and subsequent weight maintenance E Montastier, N Villa-Vialaneix, S Caspar-Bauguil, P Hlavaty, E Tvrzicka, ... PLoS computational biology 11 (1), e1004047, 2015 | 38 | 2015 |
| A comparison between dissimilarity SOM and kernel SOM for clustering the vertices of a graph N Villa, F Rossi International Workshop on Self-Organizing Maps: Proceedings (2007), 2007 | 38 | 2007 |
| ASICS: an R package for a whole analysis workflow of 1D 1H NMR spectra G Lefort, L Liaubet, C Canlet, P Tardivel, MC Père, H Quesnel, A Paris, ... Bioinformatics 35 (21), 4356-4363, 2019 | 37 | 2019 |
| Représentation d’un grand réseau à partir d’une classification hiérarchique de ses sommets F Rossi, N Villa-Vialaneix Journal de la société française de statistique 152 (3), 34-65, 2011 | 33 | 2011 |
| Modélisations prospectives de l'occupation du sol. Le cas d'une montagne méditerranéenne M Paegelow, N Villa, L Cornez, F Ferraty, L Ferré, P Sarda Cybergéo 295, 2007 | 29 | 2007 |
Fabrice RossiProfessor of Data Science, CEREMADE, Université Paris Dauphine PSLVerified email at dauphine.psl.eu
