Sparse Nonparametric Topic Model for Transfer Learning. - Ali Faisal; Jussi Gillberg; Jaakko Peltonen; Gayle Leen; Samuel Kaski (ESANN, 2012)

Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects. - Jussi Gillberg; Pekka Marttinen; Matti Pirinen; Antti J. Kangas; Pasi Soininen; Marjo-Riitta Järvelin; Mika Ala-Korpela; Samuel Kaski (CoRR, 2013)

Transfer learning using a nonparametric sparse topic model. - Ali Faisal; Jussi Gillberg; Gayle Leen; Jaakko Peltonen (Neurocomputing, 2013)

Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression. - Pekka Marttinen; Matti Pirinen; Antti-Pekka Sarin; Jussi Gillberg; Johannes Kettunen; Ida Surakka; Antti J. Kangas; Pasi Soininen; Paul F. O'Reilly; Marika Kaakinen; Mika Kähönen; Terho Lehtimäki; et al. (Bioinform., 2014)

Multiple Output Regression with Latent Noise. - Jussi Gillberg; Pekka Marttinen; Matti Pirinen; Antti J. Kangas; Pasi Soininen; Mehreen Ali; Aki S. Havulinna; Marjo-Riitta Järvelin; Mika Ala-Korpela; Samuel Kaski (J. Mach. Learn. Res., 2016)

Modelling G×E with historical weather information improves genomic prediction in new environments. - Jussi Gillberg; Pekka Marttinen; Hiroshi Mamitsuka; Samuel Kaski (Bioinform., 2019)