| DNA barcode analysis: a comparison of phylogenetic and statistical classification methods F Austerlitz, O David, B Schaeffer, K Bleakley, M Olteanu, R Leblois, ... BMC bioinformatics 10, 1-13, 2009 | 193 | 2009 |
| Self-organizing maps, theory and applications M Cottrell, M Olteanu, F Rossi, NN Villa-Vialaneix Revista de Investigacion Operacional 39 (1), 1-22, 2018 | 65 | 2018 |
| 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 | 60 | 2016 |
| On-line relational and multiple relational SOM M Olteanu, N Villa-Vialaneix Neurocomputing 147, 15-30, 2015 | 56 | 2015 |
| Segregation through the multiscalar lens M Olteanu, J Randon-Furling, WAV Clark Proceedings of the National Academy of Sciences 116 (25), 12250-12254, 2019 | 47 | 2019 |
| Career-path analysis using optimal matching and self-organizing maps S Massoni, M Olteanu, P Rousset International Workshop on Self-Organizing Maps, 154-162, 2009 | 36 | 2009 |
| SOMbrero: An R Package for Numeric and Non-numeric Self-Organizing Maps J Boelaert, L Bendhaiba, M Olteanu, N Villa-Vialaneix Advances in Self-Organizing Maps and Learning Vector Quantization …, 2014 | 31 | 2014 |
| Multiple kernel self-organizing maps M Olteanu, N Villa-Vialaneix, C Cierco-Ayrolles European Symposium on Artificial Neural Networks, Computational Intelligence …, 2013 | 29 | 2013 |
| From urban segregation to spatial structure detection J Randon-Furling, M Olteanu, A Lucquiaud Environment and Planning B: Urban Analytics and City Science 47 (4), 645-661, 2020 | 26 | 2020 |
| On-line relational som for dissimilarity data M Olteanu, N Villa-Vialaneix, M Cottrell Advances in Self-Organizing Maps: 9th International Workshop, WSOM 2012 …, 2013 | 24 | 2013 |
| Using self-organizing maps for clustering anc labelling aircraft engine data phases C Faure, M Olteanu, JM Bardet, J Lacaille 2017 12th international workshop on self-organizing maps and learning vector …, 2017 | 23 | 2017 |
| Search for meaning through the study of co-occurrences in texts N Bourgeois, M Cottrell, S Lamassé, M Olteanu Advances in Computational Intelligence: 13th International Work-Conference …, 2015 | 22 | 2015 |
| Neural networks for complex data M Cottrell, M Olteanu, F Rossi, J Rynkiewicz, N Villa-Vialaneix KI-Künstliche Intelligenz 26, 373-380, 2012 | 21 | 2012 |
| Non-linear analysis of shocks when financial markets are subject to changes in regime M Olteanu, J Rynkiewicz, B Maillet European Symposium on Artificial Neural Networks, 87-92, 2004 | 17 | 2004 |
| Using SOMbrero for clustering and visualizing graphs M Olteanu, N Villa-Vialaneix Journal de la Société Française de Statistique 156 (3), 95-119, 2015 | 16 | 2015 |
| Carte auto-organisatrice pour graphes étiquetés. N Villa-Vialaneix, M Olteanu, C Cierco-Ayrolles Atelier Fouilles de Grands Graphes (FGG)-EGC'2013, Article numéro 4, 2013 | 16 | 2013 |
| Hidden markov models for time series of counts with excess zeros M Olteanu, J Ridgway European Symposium on Artificial Neural Networks, 133-138, 2012 | 16 | 2012 |
| Multidimensional urban segregation: toward a neural network measure M Olteanu, A Hazan, M Cottrell, J Randon-Furling Neural Computing and Applications 32 (24), 18179-18191, 2020 | 14 | 2020 |
| SOMbrero: SOM bound to realize Euclidean and relational outputs N Villa-Vialaneix, L Bendhaiba, M Olteanu R package version, 1.2-3, 2018 | 13 | 2018 |
| Efficient interpretable variants of online SOM for large dissimilarity data J Mariette, M Olteanu, N Villa-Vialaneix Neurocomputing 225, 31-48, 2017 | 12 | 2017 |
