Interactive machine learning from multiple biodata sources

Project Details

Short titleKaski Samuel AP
StatusActive
Effective start/end date01/01/201631/08/2021
  • Likelihood-free inference by ratio estimation

    Thomas, O. M., Dutta, R., Corander, J., Kaski, S. & Gutmann, M., 2021, In : Bayesian Analysis. 2021, 31 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
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  • A high-performance implementation of bayesian matrix factorization with limited communication

    Vander Aa, T., Qin, X., Blomstedt, P., Wuyts, R., Verachtert, W. & Kaski, S., 1 Jan 2020, Computational Science – ICCS 2020 - 20th International Conference, Proceedings. Krzhizhanovskaya, V. V., Závodszky, G., Lees, M. H., Sloot, P. M. A., Sloot, P. M. A., Sloot, P. M. A., Dongarra, J. J., Brissos, S. & Teixeira, J. (eds.). p. 3-16 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12142 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
  • Human Strategic Steering Improves Performance of Interactive Optimization

    Colella, F., Daee, P., Jokinen, J., Oulasvirta, A. & Kaski, S., 7 Jul 2020, UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization: UMAP 2020. New York, NY, United States: ACM, p. 293-297 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access