Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Léger, Serge"'
Publikováno v:
Proceedings of Language Resources and Evaluation (LREC). Portoroz, Slovenia. pp 1800-1807 (2016)
We present an analysis of the performance of machine learning classifiers on discriminating between similar languages and language varieties. We carried out a number of experiments using the results of the two editions of the Discriminating between S
Externí odkaz:
http://arxiv.org/abs/1610.00031
Autor:
Léger, Serge1 (AUTHOR) serge.leger@nrc-cnrc.gc.ca, Costa, Maria Beatriz Walter2 (AUTHOR) bia@bioinf.uni-leipzig.de, Tulpan, Dan1,3,4 (AUTHOR) dtulpan@uoguelph.ca
Publikováno v:
BMC Bioinformatics. 5/29/2019 Supplement 10, Vol. 20 Issue 10, p1-12. 12p.
We describe the systems developed by the National Research Council Canada for the Uralic language identification shared task at the 2021 VarDial evaluation campaign. We evaluated two different approaches to this task: a probabilistic classifier explo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1674::9f13e9a26038de40ff3184d446a9e1f2
https://nrc-publications.canada.ca/eng/view/object/?id=ff9f3cc0-73cd-4026-bcf7-3b60e247330d
https://nrc-publications.canada.ca/eng/view/object/?id=ff9f3cc0-73cd-4026-bcf7-3b60e247330d
Autor:
Dorich, Stéphane, Cox, Jennifer H., Burch, Jason D., Chagnon, Félix, Chen, Bin, Léger, Serge, St-Onge, Miguel, Fader, Lee D.
Publikováno v:
In Bioorganic & Medicinal Chemistry Letters 15 May 2020 30(10)
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 400 (2011)
Abstract Background One-dimensional 1H-NMR spectroscopy is widely used for high-throughput characterization of metabolites in complex biological mixtures. However, the accurate identification of individual compounds is still a challenging task, parti
Externí odkaz:
https://doaj.org/article/20ff4d8581834e059079f632bdd6dc9b
Roughly a decade ago appeared the Additive Factor Model (AFM), a cognitive diagnostic model that was subsequently implemented by PSLC-Datashop and successfully used by researchers since then. While powerful, this model is not always simple to apprehe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d25715366075adbcfb5df2f0c991575d
Autor:
Frenette, Richard, Hutchinson, John H., Léger, Serge, Thérien, Michel, Brideau, Christine, Chan, Chi C., Charleson, Stella, Ethier, Diane, Guay, Jocelyne, Jones, Tom R., McAuliffe, Malia, Piechuta, Hanna, Riendeau, Denis, Tagari, Philip, Girard, Yves
Publikováno v:
In Bioorganic & Medicinal Chemistry Letters 1999 9(16):2391-2396
Autor:
Bayly, Christopher I., Black, W.Cameron, Léger, Serge, Ouimet, Nathalie, Ouellet, Marc, Percival, M.David
Publikováno v:
In Bioorganic & Medicinal Chemistry Letters 1999 9(3):307-312
Genome sequencing efforts for the Triticum aestivum genome produce massive amounts of contigs, preliminary assemblies and putative genes/proteins, nevertheless their annotation is still in its infancy. Given the much larger percentage of annotated ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1674::1591fa1f4555b2114169e27a6a14df76
https://nrc-publications.canada.ca/eng/view/object/?id=dd263013-adbd-4878-ae67-379efbf7e787
https://nrc-publications.canada.ca/eng/view/object/?id=dd263013-adbd-4878-ae67-379efbf7e787
Autor:
Tulpan, Dan, Léger, Serge
Fully sequenced genomes of model organisms and staple crops such as Aegilops tauschii, Arabidopsis thaliana, Brachypodium distachyon, Brassica rapa, Hordeum vulgare, Oryza sativa, Sorghum bicolor, Triticum aestivum, Triticum urartu and Zea mays provi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1f377c70ce1815e853f2ab4e2b72da6
https://nrc-publications.canada.ca/eng/view/object/?id=8ba53e18-7d26-47cf-9478-548b71a0d35d
https://nrc-publications.canada.ca/eng/view/object/?id=8ba53e18-7d26-47cf-9478-548b71a0d35d