Bayesian canonical correlation analysis A Klami, S Virtanen, S Kaski Journal of Machine Learning Research 14 (Apr), 965-1003, 2013 | 149 | 2013 |
Clinical course of untreated cervical intraepithelial neoplasia grade 2 under active surveillance: systematic review and meta-analysis K Tainio, A Athanasiou, KAO Tikkinen, R Aaltonen, J Cárdenas, ... Bmj 360, k499, 2018 | 117 | 2018 |
Group factor analysis A Klami, S Virtanen, E Leppäaho, S Kaski IEEE transactions on neural networks and learning systems 26 (9), 2136-2147, 2014 | 91 | 2014 |
Bayesian group factor analysis S Virtanen, A Klami, S Khan, S Kaski Artificial Intelligence and Statistics, 1269-1277, 2012 | 79 | 2012 |
Bayesian CCA via group sparsity S Virtanen, A Klami, S Kaski ICML, 2011 | 70 | 2011 |
Factorized multi-modal topic model S Virtanen, Y Jia, A Klami, T Darrell arXiv preprint arXiv:1210.4920, 2012 | 44 | 2012 |
Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis SA Khan, S Virtanen, OP Kallioniemi, K Wennerberg, A Poso, S Kaski Bioinformatics 30 (17), i497-i504, 2014 | 41 | 2014 |
Comparative analysis of vaginal microbiota sampling using 16S rRNA gene analysis S Virtanen, I Kalliala, P Nieminen, A Salonen PLoS One 12 (7), e0181477, 2017 | 29 | 2017 |
Bayesian exponential family projections for coupled data sources A Klami, S Virtanen, S Kaski arXiv preprint arXiv:1203.3489, 2012 | 29 | 2012 |
ICANN/PASCAL2 challenge: MEG mind reading—overview and results A Klami, P Ramkumar, S Virtanen, L Parkkonen, R Hari, S Kaski Proceedings of ICANN/PASCAL2 Challenge: MEG Mind Reading. Espoo, Aalto …, 2011 | 17 | 2011 |
Age-specific HPV type distribution in high-grade cervical disease in screened and unvaccinated women K Aro, P Nieminen, K Louvanto, M Jakobsson, S Virtanen, M Lehtinen, ... Gynecologic oncology 154 (2), 354-359, 2019 | 13 | 2019 |
Vaginal microbiota composition correlates between Pap smear microscopy and next generation sequencing and associates to socioeconomic status S Virtanen, T Rantsi, A Virtanen, K Kervinen, P Nieminen, I Kalliala, ... Scientific reports 9 (1), 1-9, 2019 | 12 | 2019 |
Cross-organism toxicogenomics with group factor analysis T Suvitaival, JA Parkkinen, S Virtanen, S Kaski Systems Biomedicine 2 (4), 71-80, 2014 | 7 | 2014 |
Bayesian group factor analysis S Virtanen, A Klami, SA Khan, S Kaski arXiv preprint arXiv:1110.3204, 2011 | 5 | 2011 |
Bayesian exponential family projections S Virtanen | 5 | 2010 |
Vaginal microbiota in pregnancy: Role in induction of labor and seeding the neonate’s microbiota? K Kervinen, I Kalliala, S Glazer-Livson, S Virtanen, P Nieminen, ... Journal of biosciences 44 (5), 116, 2019 | 4 | 2019 |
Ordinal mixed membership models S Virtanen, M Girolami International Conference on Machine Learning, 588-596, 2015 | 3 | 2015 |
Precision-Recall Balanced Topic Modelling S Virtanen, M Girolami Advances in Neural Information Processing Systems, 6750-6759, 2019 | 2 | 2019 |
Non‐parametric Bayes to infer playing strategies adopted in a population of mobile gamers S Virtanen, M Rost, M Higgs, A Morrison, M Chalmers, M Girolami Stat 4 (1), 46-58, 2015 | 2 | 2015 |
Uncovering smartphone usage patterns with multi‐view mixed membership models S Virtanen, M Rost, A Morrison, M Chalmers, M Girolami Stat 5 (1), 57-69, 2016 | 1 | 2016 |