Curriculum vitae

Rossi Fabrice

Professeur des universités
Bureau : B642


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.

Dernières publications


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), Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL, Social Network Analysis and Mining, vol. 6, n°1

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

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), 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

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

Chapitres d'ouvrage

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

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.

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.

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.

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