D. F. Bernardes

Ab initio compressibility of metastable low albite: revealing a lambda-type singularity at pressures of the Earth’s upper mantle

R. Dovesi, A. Erba, P. D'arco, 2020, Physics and Chemistry of Minerals.

Information Diffusion in Complex Networks : Measurement-Based Analysis Applied to Modelling. (Phénomènes de diffusion sur les grands réseaux : mesure et analyse pour la modélisation)

Daniel Faria Bernardes, D. F. Bernardes, 2014 .

RankMerging: a supervised learning-to-rank framework to predict links in large social networks

Renaud Lambiotte, Lionel Tabourier, Anne-Sophie Libert, 2014, Machine Learning.

Relevance of SIR Model for Real-world Spreading Phenomena: Experiments on a Large-scale P2P System

Matthieu Latapy, Fabien Tarissan, Daniel Faria Bernardes, 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

A Social Formalism and Survey for Recommender Systems

Mamadou Diaby, Françoise Fogelman-Soulié, Emmanuel Viennet, 2015, SKDD.

On the use of the symmetry-adapted Monte Carlo for an effective sampling of large configuration spaces. The test cases of calcite structured carbonates and melilites

P. D'arco, V. Lacivita, S. Mustapha, 2017 .

Inadequacy of SIR model to reproduce key properties of real-world spreading cascades: experiments on a large-scale P2P system

Matthieu Latapy, Fabien Tarissan, Daniel Faria Bernardes, 2013, Social Network Analysis and Mining.