Olteanu Madalina - CV

Articles

Laroche C., Olteanu M., Rossi F. (2023), Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data, Environmetrics, vol. 34, n°2, p. 31

Olteanu M., Rossi F., Yger F. (2023), Meta-survey on outlier and anomaly detection, Neurocomputing, vol. 555, p. 126634

Lamirel J-C., Cottrell M., Olteanu M., Lévy B. (2020), Editorial of Special Issue on WSOM+ 2017, Neural Computing and Applications, vol. 32, p. 17973-17975

Alerini J., Olteanu M., Ridgway J. (2017), Markov and the Duchy of Savoy: segmenting a century with regime-switching models, Journal de la Société française de statistique, vol. 158, n°2, p. 89-117

Directions d'ouvrage

Lamirel J-C., Cottrell M., Olteanu M. (2017), Proceedings of 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+) 2017, Piscataway, NJ: IEEE - Institute of Electrical and Electronics Engineers

Communications avec actes

Chavent M., Olteanu M., Cottrell M., Lacaille J., Mourer A. (2022), Sparse Weighted K-Means for Groups of Mixed-Type Variables, in Jan Faigl, Madalina Olteanu, Jan Drchal, Berlin Heidelberg, Springer International Publishing, 1-10 p.

Chavent M., Lacaille J., Mourer A., Olteanu M. (2021), Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability?, in , ESANN, i6doc.com, 569-574 p.

Chavent M., Lacaille J., Mourer A., Olteanu M. (2020), Sparse k-means for mixed data via group-sparse clustering, in , i6doc.com

Mourer A., Lacaille J., Olteanu M., Chavent M. (2020), Automatic Detection of Rare Observations During Production Tests Using Statistical Models, in Abhinav Saxena, PHM society - Prognostics and Health Management Society

Communications sans actes

Chavent M., Lacaille J., Mourer A., Olteanu M. (2022), Sparse and group-sparse clustering for mixed data An illustration of the vimpclust package, DS 2022 - 53èmes Journées de Statistique de la Société Française de Statistique (SFdS), Lyon, France

Olteanu M., Rossi F., Yger F. (2022), Challenges in anomaly and change point detection, 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022), Bruges, Belgique

Actes d'une conférence

Faigl J., Olteanu M., Drchal J. (2022), Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, in , Berlin Heidelberg, Springer, XII, 119 p

Editoriaux, directions de revue

Lamirel J-C., Cottrell M., Olteanu M., Lévy B. (2020), Special Issue on WSOM+ 2017, Neural Computing and Applications, vol. 32