Classification of Content and Users in BitTorrent by Semi-supervised Learning Methods, International Wireless Communications and Mobile Computing Conference (3rd International Workshop on Traffic Analysis and Classification), 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00747641
Soft-supervised learning for text classification, Proceedings of the Conference on Empirical Methods in Natural Language Processing. EMNLP '08, pp.1090-1099, 2008. ,
Compact graph based semi-supervised learning for medical diagnosis in alzheimer's disease, IEEE Signal Processing Letters, vol.21, issue.10, pp.1192-1196, 2014. ,
BGP Zombies: an Analysis of Beacons Stuck Routes, PAM 2019 -20th Passive and Active Measurements Conference, pp.1-13, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-01970596
Pagerank as a discrete green's function. Geometry and Analysis I ALM, 2010. ,
Mean Field Analysis of Personalized PageRank with Implications for Local Graph Clustering, Journal of Statistical Physics, vol.173, issue.3-4, pp.895-916, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01936016
Characterization of tail dependence for in-degree and pagerank, pp.90-103, 2009. ,
Four cheeger-type inequalities for graph partitioning algorithms, Proceedings of ICCM, 2007. ,
Pagerank based clustering of hypertext document collections, Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.873-874, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00565355
Distributing antidote using pagerank vectors, Internet Mathematics, vol.6, pp.237-254, 2009. ,
Using pagerank to locally partition a graph, Internet Mathematics, vol.4, pp.35-64, 2007. ,
Detecting sharp drops in pagerank and a simplified local partitioning algorithm, Theory and Applications of Models of Computation, pp.1-12, 2007. ,
Learning with local and global consistency, Advances in Neural Information Processing Systems, vol.16, pp.321-328, 2004. ,
Spectral clustering and transductive learning with multiple views, Proceedings of the 24th International Conference on Machine Learning. ICML '07, pp.1159-1166, 2007. ,
Generalized Optimization Framework for Graph-based Semi-supervised Learning, SIAM Data Mining, 2012. ,
URL : https://hal.archives-ouvertes.fr/inria-00633818
Semi-supervised learning by higher order regularization, Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research, vol.15, pp.892-900, 2011. ,
Diffusion and clustering on large graphs, 2012. ,
Graph-based semi-supervised learning methods and quick detection of central nodes, Ecole Doctorale STIC, 2014. ,
URL : https://hal.archives-ouvertes.fr/tel-00998394
Fractional dynamics on networks: Emergence of anomalous diffusion and lévy flights, Physical Review E, vol.90, p.32809, 2014. ,
Fractional graph-based semi-supervised learning, 2017 25th European Signal Processing Conference (EUSIPCO), pp.356-360, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01586767
Lévy Flights for Graph Based Semi-Supervised Classification, 26th Colloquium GRETSI. GRETSI, 2017 -Proceeding of the 26th colloquium, 2017. ,
Distributed signal processing via chebyshev polynomial approximation, IEEE Transactions on Signal and Information Processing over Networks, vol.4, issue.4, pp.736-751, 2018. ,
Reconstruction and estimation in the planted partition model, Probability Theory and Related Fields, vol.162, issue.3, pp.431-461, 2015. ,
Phase transitions in semisupervised clustering of sparse networks, Physical review. E, Statistical, nonlinear, and soft matter physics, p.90, 2014. ,
Comparison of the predicted and observed secondary structure of t4 phage lysozyme, Biochimica et Biophysica Acta (BBA) -Protein Structure, vol.405, issue.2, pp.442-451, 1975. ,
Gradient-based learning applied to document recognition, Proceedings of the IEEE, vol.86, issue.11, pp.2278-2324, 1998. ,
Distinctive descriptions for face processing, 1997. ,
Practical solutions to the problem of diagonal dominance in kernel document clustering, Proceedings of the 23rd International Conference on Machine Learning. ICML '06, pp.377-384, 2006. ,
The expected value of the ratio of correlated random variables, 2015. ,