Année de production

Identifiants chercheur

Réseaux sociaux

    Nombre de documents


    Claude Pasquier

    Scalable and Pervasive softwARe and Knowledge Systems   

    Article dans une revue5 documents

    • Denis Pallez, Julien Gardès, Claude Pasquier. Prediction of miRNA-disease Associations using an Evolutionary Tuned Latent Semantic Analysis. Scientific Reports, Nature Publishing Group, 2017, 7, pp.10548. 〈10.1038/s41598-017-10065-y〉. 〈hal-01582170〉
    • Claude Pasquier, Frédéric Flouvat, Jérémy Sanhes, Nazha Selmaoui-Folcher. Attributed graph mining in the presence of automorphism. Knowledge and Information Systems (KAIS), Springer, 2017, 50 (2), pp.569-584. 〈10.1007/s10115-016-0953-9〉. 〈hal-01311684〉
    • Claude Pasquier, Sandra Agnel, Alain Robichon. The Mapping of Predicted Triplex DNA:RNA in the Drosophila Genome Reveals a Prominent Location in Development- and Morphogenesis-Related Genes. G3, Genetics Society of America, 2017, 7 (7), pp.2295 - 2304. 〈10.1534/g3.117.042911〉. 〈hal-01588715〉
    • Claude Pasquier, Julien Gardès. Prediction of miRNA-disease associations with a vector space model. Scientific Reports, Nature Publishing Group, 2016, 6, pp.27036. 〈10.1038/srep27036〉. 〈hal-01324962〉
    • Claude Pasquier, Jérémy Sanhes, Frédéric Flouvat, Nazha Selmaoui-Folcher. Frequent Pattern Mining in Attributed Trees: algorithms and applications. Knowledge and Information Systems (KAIS), Springer, 2015, 46 (3), pp.491-514. 〈10.1007/s10115-015-0831-x〉. 〈hal-01154854〉

    Communication dans un congrès1 document

    • Ronnie Alves, Claude Pasquier, Nicolas Pasquier. The Pervasiveness of Machine Learning in Omics Science: Foundations, Methods and Applications. ECML/PKDD'2014 International Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Tutorial T3, Sep 2014, Nancy, France. 〈〉. 〈hal-01330594〉