M. Olteanu, "Feature selection for unsupervised learning", In New Trends in Statistical Learning, Porquerolles, France, June 18-23, 2023. Joint work with A. Célisse, M. Chavent, and A. Mourer.
C. Laroche, M. Olteanu, F. Rossi, "Pesticide concentration monitoring: Investigating spatio-temporal patterns in left censored data", In The world in the deep tech area : the role of Big Data and Artificial Intelligence in addressing the societal challenges, Smart Diaspora 2023, Timisoara, Romania, April 10-13, 2023.
M. Olteanu, "R-SOMbrero for SOM visualisation", In 14th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+ 2022), Prague, Czechia, July 6-8, 2022. Joint work with F. Rossi, N. Vialaneix, et. al.
M. Cottrell, A. Hazan, M. Olteanu, J. Randon-Furling, "Multidimensional urban segregation toward a neural network measure", In Data Science, Statistics and Visualisation (DSSV 2022), Taiwan, June 27-29, 2022.
W. Clark, M. Olteanu, J. Randon-Furling, "Segregation through the multiscalar lens", In 15th International Conference on Operation Research (ICOR 2022), La Habana, Cuba, May 31 - June 3, 2022.
S. Lamassé, M. Olteanu, “Detecting the evolution phases of a text production”, In 12th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2019), London, UK, December 14-16, 2019.
J Alerini, M. Olteanu, “Markov and the Dukes of Savoy : A temporal analysis of the Piedmontese - Savoyard legislation”, In 12th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2019), London, UK, December 14-16, 2019.
M. Olteanu, N. Vialaneix, J. Marietta, G. Beaunée, K. Pame, E. Vergu, “Clustering complex data with kernel and relational SOM. An application to cattle trading networks”, In The 22nd Conference of the Romanian Society of Probability and Statistics (SPSR 2019), Bucharest, Romania, May 10-11, 2019.
J. Randon-Furling, M. Olteanu, W. Clark, “The distorted city - capturing the complexity of perceived segregation”, In ECSR Workshop, Florence, Italy, April 11, 2019.
M. Olteanu, J. Randon-Furling, “Assessing segregation in complex networks through a multi-focal approach”, In 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Pisa, Italy, December 14-16, 2018.
M. Olteanu, K. Pame, G. Beaunée, C. Bidot, E. Vergu, “Clustering and visualising large cattle-trading networks using self-organizing maps”, In 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Pisa, Italy, December 14-16, 2018.
M. Olteanu, J. Randon-Furling, W. Clark, “Migrations and segregation in European cities”, In D4I Joint Research Center - European Commission Workshop, Brussels, Belgium, November 28, 2018.
M. Olteanu, P. Rousset, “Using big data in order better to visualise the competences associated with jobs : the birth of an experimental project”, In CEREQ Workshop, Marseille, France, September 27, 2017.
A. Célisse, M. Olteanu, Detecting change points in sparse multidimensional signals with component-wise weighting, In 54èmes Journées de Statistique de la SFdS (JDS 2023), Bruxelles, Belgium, July 3-7, 2023.
A. Célisse, M. Olteanu, On the importance of component-wise weighting a multi-dimensional sparse signal for detecting breakpoints. In Paris-Saclay Change-Point Workshop, ENS Paris-Saclay, January 16-17, 2023.
M. Olteanu, F. Rossi, F. Yger, Challenges in anomaly and change-point detection. In 30th European Symposium on Artificial Neural Networks (ESANN 2022), Bruges, Belgium, October 5-7, 2022.
M. Chavent, M. Cottrell, J. Lacaille, A. Mourer, M. Olteanu, "Sparse weighted K-means for groups of mixed-type variables", In 14th International Workshop on Self-Organising Maps and Learning Vector Quantization, Clustering and Data Visualisation (WSOM+ 2022), Prague, Czechia, July 6-8, 2022.
M. Chavent, J. Lacaille, A. Mourer, M. Olteanu, "Sparse and group-sparse clustering for mixed data. An illustration of the vimpclust package", In 53èmes Journées de Statistique de la SFdS (JDS 2022), Lyon, France, June 13-17, 2022.
C. Laroche, M. Olteanu, F. Rossi, "Pesticide concentration monitoring: investigating spatio-temporal patterns in left censored data", In 15th International Conference on Operation Research (ICOR 2022), La Habana, Cuba, May 31 - June 3, 2022.
C. Laroche, M. Olteanu, F. Rossi, "Estimation paramétrique de ruptures dans des données censurées à gauche", In 52èmes Journées de Statistique de la SFdS (JDS 2021), Nice, France, June 7-11, 2021.
M. Chavent, J. Lacaille, A. Mourer, M. Olteanu, "Handling correlations in random forests: which impacts on variable importance and model interpretability?", In 29th European Symposium on Artificial Neural Networks (ESANN 2021), Bruges, Belgium, October 6-8, 2021.
M. Chavent, J. Lacaille, A. Mourer, M. Olteanu, "Clustering sparse des données mixtes avec le package R vimpclust", Rencontres R 2021, Paris, France, July 12-13, 2021.
M. Chavent, J. Lacaille, A. Mourer, M. Olteanu, "Sparse K-means for mixed data via group-sparse clustering", In 28th European Symposium on Artificial Neural Networks (ESANN 2020), Bruges, Belgium, October 2-4, 2020.
C. de Bézenac, J. Randon-Furling, W. A. Clark, M. Olteanu, “Measuring and visualising patterns of ethnic concentration : the role of distortion coefficients”, In Population Association of America Meeting (PAA 2020), April 23-25, 2020, virtual conference.
W. Clark, M. Olteanu, J. Randon-Furling, “Segregation beyond scale : assessing the individual perception of migrant residential segregation”, In European Colloquium on Theoretical and Quantitative Geography (ECTQG), Mondorf-Les-Bains, Luxembourg, September 5-9, 2019.
M. Olteanu, J. Randon-Furling, W. Clark, “Focal distances and distortion coefficients : assessing the individual perception of multiscalar segregation”, In UseR! 2019, Toulouse, France, July 9-12, 2019.
M. Olteanu, J.-C. Lamirel, “When clustering the multiscalar fingerprint of the city reveals its segregation patterns”, In 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+ 2019), Barcelona, Spain, June 26-28, 2019.
M. Cottrell, C. Faure, J. Lacaille, M. Olteanu, “Detection of abnormal flights using fickle instances in SOM maps”, In 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+ 2019), Barcelona, Spain, June 26-28, 2019.
M. Cottrell, C. Faure, J. Lacaille, M. Olteanu, “Anomaly detection for bivariate signals”, In 15th International Work-conference on Artificial Neural Networks (IWANN 2019), Gran Canaria, Spain, June 12-14, 2019.
M. Olteanu, K. Pame, G. Beaunée, C. Bidot, E. Vergu, “Clustering and visualising large cattle-trade networks using relational self-organizing maps”, In 51èmes Journées de Statistique de la SFdS (JDS 2019), Nancy, France, June 3-7, 2019.
M. Olteanu, J. Randon-Furling, W. Clark, “Spatial analysis in high resolution geo-data”, In 27th European Symposium on Artificial Neural Networks (ESANN 2019), Bruges, Belgium, April 24-26, 2019.
W. Clark, J. Randon-Furling, M. Olteanu, “A new method for analysing ethnic mixing : Southern California as an exemplar”, In American Association of Geographers Meeting (AAG 2019), Washington DC, US, April 3-7, 2019.
M. Olteanu, J. Randon-Furling, “Converging to the city : a myriad trajectories”, In Conference in Complex Systems (CCS 2018), Thessaloniki, Greece, September 23-28, 2018.
W. Clark, J. Randon-Furling, M. Olteanu, “A new method for analysing ethnic mixing : studies from Southern California”, In 23rd International Conference on Computational Statistics (CompStat 2018), Iasi, Romania, August 28-31, 2018.
W. Clark, J. Randon-Furling, M. Olteanu, “A new method for analysing ethnic mixing : studies from Southern California”, In European Network for Housing Research (ENHR) Conference, Uppsala, Sweden, June 26-29, 2018.
M. Olteanu, G. Beaunée, C. Bidot, K. Pame, E. Vergu, “Clustering and visualising large cattle-trading networks using self-organising maps”, In International School and Conference on Network Science (NetSci 2018), Paris, France, June 11-15, 2018.
M. Olteanu, J. Randon-Furling, “Multiscalar socio-spatial dynamics in the city”, In BIFI International Conference on Complex Systems, Zaragoza, Spain, February 6-8, 2018.
M. Olteanu, G. Beaunée, C. Bidot, C. Laredo, E. Vergu, “Using SOMbrero for clustering and visualising large cattle-trading networks”, In BIFI International Conference on Complex Systems, Zaragoza, Spain, February 6-8, 2018.
M. Olteanu, J. Randon-Furling, “Analysing spatial dissimilarities via effective time-series”, In International Work-Conference on Time Series Analysis (ITISE 2017), Granada, Spain, September 18-20, 2017.
J. Alerini, M. Olteanu, “Exploring a century of Savoy history using hidden-Markov models with Beta-inflated distributions”, In International Work-Conference on Time Series Analysis (ITISE 2017), Granada, Spain, September 18-20, 2017.
J.-M. Bardet, C. Faure, J. Lacaille, M. Olteanu, “Design aircraft engine bivariate data phases using change-point detection methods and self-organising maps”, In International Work-Conference on Time Series Analysis (ITISE 2017), Granada, Spain, September 18-20, 2017.
M. Cottrell, M. Olteanu, J. Randon-Furling, A. Hazan, “Multidimensional urban segregation : an exploratory case study”, In 12th International Workshop on Self-Organising Maps and Learning Vector Quantization, Clustering and Data Visualisation (WSOM+ 2017), Nancy, France, June 28-30, 2017.
C. Faure, M. Olteanu, J.-M. Bardet, J. Lacaille, “Using self-organising maps for clustering and labelling aircraft engine data phases”, In 12th International Workshop on Self-Organising Maps and Learning Vector Quantization, Clustering and Data Visualisation (WSOM+ 2017), Nancy, France, June 28-30, 2017.
J. Alerini, M. Cottrell, M. Olteanu, “Hidden Markov models for time series of continuous proportions with excess zeros”, In 14th International Work-conference on Artificial Neural Networks (IWANN 2017), Cadiz, Spain, June 14-16, 2017.
J. Mariette, M. Olteanu, F. Rossi, N. Villa-Vialaneix, “Accelerating stochastic kernel SOM”, In 25th European Symposium on Artificial Neural Networks (ESANN 2019), Bruges, Belgium, April 26-28, 2017.
M. Olteanu, N. Vialaneix, “Using SOMbrero for clustering and visualising complex data”, In International Workshop on Operations Research (IWOR 2017), Habana, Cuba, March 14-17, 2017.
Rencontres statistiques du CEREMADE, April 2023.
Working group on Risk, ESSEC, La Défense, November 2022.
Séminaire "All about that Bayes", Paris, April 2022.
Workshop "Des données aux plateformes géo-historiques en accès libre", Abbaye de Royaumont, June 2021.
Séminaire Parisien de Statistique, IHP, Paris, June 2021.
MAD-Stat Seminar, Toulouse School of Economics, May 2021.
Séminaire du CEREMADE, Université Paris Dauphine PSL, October 2020.
Séminaire "Données et aléatoire Théorie & applications", Laboratoire Jean Kuntzmann, Université de Grenoble, October 2020.
Séminaire MIA-T, INRAE Toulouse, May 2019.
Séminaire de probabilités et statistique, Institut Elie Cartan, Université de Lorraine, February 2019.
Séminaire INTEGER, Institut Convergences "Migrations", Paris, February 2019.
Groupe de travail en statistiques, CEREQ, Marseille, September 2017.
Université de Malaga, September 2017.
Université de Bordeaux, May 2017.