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When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning., , , , , , и . BCI, стр. 1-4. IEEE, (2014)Ensembles of Lasso Screening Rules., , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 40 (12): 2841-2852 (2018)An Off-the-shelf Approach to Authorship Attribution., , и . COLING, стр. 895-904. ACL, (2014)Optimizing for Measure of Performance in Max-Margin Parsing., , , и . IEEE Trans. Neural Networks Learn. Syst., 31 (7): 2680-2684 (2020)Deep Semi-Supervised Anomaly Detection, , , , , , и . International Conference on Learning Representations, (2020)Oqtans: a multifunctional workbench for RNA-seq data analysis., , , , , , , , , и . BMC Bioinform., 15 (S-3): A7 (2014)Deep Semi-Supervised Anomaly Detection., , , , , , и . ICLR, OpenReview.net, (2020)Porosity estimation by semi-supervised learning with sparsely available labeled samples., , , , , и . Comput. Geosci., (2017)Oqtans: a Galaxy-integrated workflow for quantitative transcriptome analysis from NGS Data., , , , , , , , , и 1 other автор(ы). BMC Bioinform., 12 (S-11): A7 (2011)Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis., , , , , , , , , и . Bioinform., 30 (9): 1300-1301 (2014)