Research Output

2020

Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation

Järvenpää, M., Vehtari, A. & Marttinen, P., 2020, (Accepted/In press) Conference on Uncertainty in Artificial Intelligence (UAI 2020).

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

Decentralized Knowledge Acquisition for Mobile Internet Applications

Jiang, J., Ji, S. & Long, G., 13 Mar 2020, In : World Wide Web.

Research output: Contribution to journalArticleScientificpeer-review

Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations

Järvenpää, M., Gutmann, M., Vehtari, A. & Marttinen, P., Feb 2020, (Accepted/In press) In : Bayesian Analysis.

Research output: Contribution to journalArticleScientificpeer-review

Time series indexing by dynamic covering with cross-range constraints

Sun, T., Liu, H., McLoone, S., Ji, S. & Wu, X., 28 May 2020, In : VLDB JOURNAL.

Research output: Contribution to journalArticleScientificpeer-review

2019

A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation

Järvenpää, M., Sater, M. R. A., Lagoudas, G. K., Blainey, P. C., Miller, L. G., McKinnell, J. A., Huang, S. S., Grad, Y. H. & Marttinen, P., 1 Apr 2019, In : PLoS computational biology. 15, 4, p. 1-25 e1006534.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
101 Downloads (Pure)

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Kaski, S. & Marttinen, P., 17 Jun 2019, In : Nature Communications. 10, 1, p. 1-17 17 p., 2674.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
22 Citations (Scopus)
82 Downloads (Pure)

Efficient acquisition rules for model-based approximate Bayesian computation

Järvenpää, M., Gutmann, M. U., Pleska, A., Vehtari, A. & Marttinen, P., Jun 2019, In : Bayesian Analysis. 14, 2, p. 595-622 28 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
4 Citations (Scopus)
102 Downloads (Pure)

International genomic definition of pneumococcal lineages, to contextualise disease, antibiotic resistance and vaccine impact

May 2019, In : Ebiomedicine. 43, p. 338-346 9 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
21 Downloads (Pure)

Modelling G×E with historical weather information improves genomic prediction in new environments

Gillberg, J., Marttinen, P., Mamitsuka, H. & Kaski, S., 15 Oct 2019, In : Bioinformatics (Oxford, England). 35, 20, p. 4045-4052 8 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
1 Citation (Scopus)
36 Downloads (Pure)

On the distribution of the threshold voltage in multi-level cell flash memories

Ashrafi, R. A., Arslan, S. S. & Pusane, A. E., 1 Oct 2019, In : Physical Communication. 36, 100747.

Research output: Contribution to journalArticleScientificpeer-review

Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention

Kumar, Y., Salo, H., Nieminen, T., Vepsäläinen, K., Kulathinal, S. & Marttinen, P., 2019, Machine Learning for Health (ML4H) at NeurIPS 2019. (Conference on Neural Information Processing Systems).

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

Open Access
2018

A Bayesian model of acquisition and clearance of bacterial colonization

Järvenpää, M., Sater, M., Lagoudas, G., Blainey, P. C., Miller, L., McKinnell, J., Huang, S., Grad, Y. & Marttinen, P., Dec 2018.

Research output: Contribution to conferencePosterScientificpeer-review

ELFI: Engine for likelihood-free inference

Lintusaari, J., Vuollekoski, H., Kangasrääsiö, A., Skytén, K., Järvenpää, M., Marttinen, P., Gutmann, M. U., Vehtari, A., Corander, J. & Kaski, S., 1 Aug 2018, In : Journal of Machine Learning Research. 19, p. 1-7 7 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
8 Citations (Scopus)
45 Downloads (Pure)

Gaussian process modelling in approximate bayesian computation to estimate horizontal gene transfer in Bacteria

Järvenpää, M., Gutmann, M. U., Vehtari, A. K. I. & Marttinen, P., 1 Dec 2018, In : Annals of Applied Statistics. 12, 4, p. 2228-2251 24 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
6 Citations (Scopus)
112 Downloads (Pure)