Curriculum vitae

Rossi Fabrice

Professeur des universités
CEREMADE

rossiping@ceremade.dauphinepong.fr
Bureau : C616
Site web personnel

Biographie

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

Articles

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

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

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. (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), 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

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

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.

Barbaro F., Rossi F. (2021), Sparse mixture of von Mises-Fisher distribution, in , elsevier, i6doc.com, 263-268 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

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

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

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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