CEREMADE
Rossi Fabrice
Full Professor
Biography
Fabrice Rossi's research focuses on the science of data, more specifically on automatic learning and the exploratory analysis of data. In parallel with theoretical, methodological and industrial developments, he has built multidisciplinary collaborations, particularly in epidemiology, history, archaeology and sociology.
Publications
Articles
Zelaya Mendizábal V., Boullé M., Rossi F. (2023), Fast and fully-automated histograms for large-scale data sets, Computational Statistics & Data Analysis, vol. 180, p. 107668
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
Rossi F., Barbaro F. (2022), Mixture of von Mises-Fisher distribution with sparse prototypes, Neurocomputing, vol. 501, p. 41-74
Corneli M., Bouveyron C., Latouche P., Rossi F. (2019), The dynamic stochastic topic block model for dynamic networks with textual edges, Statistics and Computing, vol. 29, n°4, p. 677-695
Guigourès R., Boullé M., Rossi F. (2018), Discovering patterns in time-varying graphs: a triclustering approach, Advances in Data Analysis and Classification, vol. 12, n°3, p. 509-536
Corneli M., Latouche P., Rossi F. (2018), Multiple change points detection and clustering in dynamic networks, Statistics and Computing, vol. 28, n°5, p. 989-1007
Corneli M., Latouche P., Rossi F. (2016), Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks, Neurocomputing, vol. 192, p. 81-91
Corneli M., Latouche P., Rossi F. (2016), Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL, Social Network Analysis and Mining, vol. 6, n°1
Hugueney B., Rossi F., Hébrail G., Lechevallier Y. (2010), Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation, Neurocomputing, vol. 73, n°7-9, p. 1125-1141
Conan-Guez B., Delannay N., Rossi F., Verleysen M. (2005), Representation of Functional Data in Neural Networks, Neurocomputing, vol. 64, p. 183--210
Conan-Guez B., Rossi F. (2005), Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis, Neural Networks, vol. 18, n°1, p. 45--60
Conan-Guez B., Rossi F. (2005), Un modèle neuronal pour la régression et la discrimination sur données fonctionnelles, Revue de statistique appliquée, vol. LIII, n°4, p. 5-30
Conan-Guez B., Rossi F. (2005), Estimation consistante des paramètres d'un modèle non linéaire pour des données fonctionnelles discrétisées aléatoirement, Comptes rendus. Mathématique, vol. 340, n°2, p. 167-170
Chapitres d'ouvrage
Filet C., Rossi F. (2023), Network Methods and Properties, in Tom Brughmans, Barbara J. Mills, Jessica Munson, Matthew A. Peeples, The Oxford Handbook of Archaeological Network Research, Oxford: Oxford University Press, p. 15-33
Bouchareb A., Boullé M., Clérot F., Rossi F. (2019), Model Based Co-clustering of Mixed Numerical and Binary Data, in Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron, Advances in Knowledge Discovery and Management, volume 8 Advances in Knowledge Discovery and Management, p. 3-22
Bouchareb A., Boullé M., Clérot F., Rossi F. (2019), Co-clustering based exploratory analysis of mixed-type data tables, in Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron, Advances in Knowledge Discovery and Management, Volume 8 Advances in Knowledge Discovery and Management, p. 23-41
Conan-Guez B., Rossi F. (2008), Multi-Layer Perceptrons and Symbolic Data, in Noirhomme-Fraiture, Monique, Symbolic Data Analysis and the SODAS Software, Chichester (UK): Wiley, p. 457
Communications avec actes
Barbaro F., Rossi F. (2021), Sparse mixture of von Mises-Fisher distribution, in , elsevier, i6doc.com, 263-268 p.
Mengin E., Rossi F. (2021), Improved Algorithm for the Network Alignment Problem with Application to Binary Diffing, in Jaroslaw Watrobski, Wojciech Salabun, Carlos Toro, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain, Amsterdam, Elsevier, 961-970 p.
Mengin E., Rossi F. (2021), Binary Diffing as a Network Alignment Problem via Belief Propagation, in , Piscataway, NJ, IEEE - Institute of Electrical and Electronics Engineers, 967 - 978 p.
Communications sans actes
Le Picard H., Rossi F. (2023), Analyse exploratoire de séries temporelles d'utilisation de systèmes électriques par chaînes de Markov d'ordre variable, 54es Journées de Statistitique de la SFdS, Bruxelles, Belgique
Verine A., Negrevergne B., Rossi F., Chevaleyre Y. (2022), On the expressivity of bi-Lipschitz normalizing flows, ACML 2022 - 14th Asian Conference on Machine Learning, Hyderabad, Inde
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
Rossi F. (2021), Bruit, erreur, anomalie et incertitude dans les données, Semaine Data-SHS, PUDD, Dijon, France
Cohen R., Yger F., Rossi F. (2021), Adding semantic to level-up graph-based Android malware detection, The 10th International Conference on Complex Networks and their Applications (Complex Networks 2021), Madrid, Espagne
Barbaro F., Rossi F. (2021), Pénalisation l 1 pour un mélange de lois de von Mises-Fisher, JDS 2021 : 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Nice, France
Prépublications / Cahiers de recherche
Conan-Guez B., Rossi F. (2003), Un modèle semi-paramétrique neuronal pour la régression et la discrimination sur données fonctionnelles, Paris, Cahiers du CEREMADE, 16 pages p.