Rossi Fabrice - CV

CEREMADE

Rossi Fabrice

Professeur des universités

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.

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), 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), 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

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

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

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

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

Rossi F. (2021), Bruit, erreur, anomalie et incertitude dans les données, Semaine Data-SHS, PUDD, Dijon, 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.

Retour à la liste