Équipes actuelles :
ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL
LIP6
- Ch. Dhanjal, N. Baskiotis, S. Clémençon, N. Usunier : “An empirical comparison of V -fold penalisation and cross-validation for model selection in distribution-free regression”, Pattern Analysis and Applications, vol. 19 (1), pp. 41-53, (Springer Verlag) [Dhanjal 2016]
- S. Lamprier, S. Bourigault, P. Gallinari : “Influence learning for cascade diffusion models: focus on partial orders of infections”, Social Network Analysis and Mining, vol. 6 (1), pp. 93, (Springer) [Lamprier 2016]
- Marc T. Law, N. Thome, M. Cord : “Learning a Distance Metric from Relative Comparisons between Quadruplets of Images”, International Journal of Computer Vision, pp. 1-30, (Springer Verlag) [Law 2016]
- L. Rubini, R. Cancelliere, P. Gallinari, A. Grosso : “Local search and pseudoinversion: an hybrid approach to neural network training”, Knowl. Inf. Syst., vol. 48 (2), pp. 493-503 [Rubini 2016]
- L. Soulier, L. Tamine, Ch. Shah : “MineRank: Leveraging users’ latent roles for unsupervised collaborative information retrieval”, Information Processing and Management, vol. 52 (6), pp. 1122-1141, (Elsevier) [Soulier 2016b]
- Y. Zhao, Sh. Gao, P. Gallinari, J. Guo : “A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base”, Computación y sistemas, vol. 20 (3), pp. 459-466, (Instituto Politécnico Nacional IPN Centro de Investigación en Computación) [Zhao 2016]