A Semi-supervised Approach to Discover Bivariate Causality in Large Biological Data. - Nataliya Sokolovska; Olga Permiakova; Sofia K. Forslund; Jean-Daniel Zucker (MLDM (1), 2018)

Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines. - Nataliya Sokolovska; Olga Permiakova; Sofia K. Forslund; Jean-Daniel Zucker (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis. - Olga Permiakova; Romain Guibert; Alexandra Kraut; Thomas Fortin; Anne-Marie Hesse; Thomas Burger (BMC Bioinform., 2021)

Sketched Stochastic Dictionary Learning for large-scale data and application to high-throughput mass spectrometry. - Olga Permiakova; Thomas Burger (Stat. Anal. Data Min., 2022)