Research output per year
Research output per year
Personal profile
Education/Academic qualification
Doctor of Philosophy, Statistics, Helsingin yliopisto
Award Date: 21 Nov 2008
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Dive into the research topics where Pekka Marttinen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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Errors-in-variables modeling of personalized treatment-response trajectories
Zhang, G., Alizadeh Ashrafi, R., Juuti, A., Pietiläinen, K. & Marttinen, P., Jan 2021, In : IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 25, 1, p. 201-208 8 p., 9072524.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation
Järvenpää, M., Vehtari, A. & Marttinen, P., 2020, Conference on Uncertainty in Artificial Intelligence (UAI 2020). Vol. 124. (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access -
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text
Ji, S., Cambria, E. & Marttinen, P., 2020, Proceedings of the 3rd Clinical Natural Language Processing Workshop. Association for Computational Linguistics (ACL), p. 73-78Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access -
Learning Global Pairwise Interactions with Bayesian Neural Networks
Cui, T., Marttinen, P. & Kaski, S., 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. IOS PRESS, p. 1087-1094 8 p. ( Frontiers in Artificial Intelligence and Applications; vol. 325).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
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. 16, 1, p. 147-178 32 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile
Projects
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Data Literacy for Responsible Decision-Making
01/10/2020 → 30/09/2023
Project: Academy of Finland: Strategic research funding
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FCAI: Finnish Center for Artificial Intelligence (FCAI)
01/01/2019 → 31/12/2022
Project: Academy of Finland: Other research funding
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FCAI: Finnish Center for Artificial Intelligence (FCAI)
01/01/2019 → 31/12/2022
Project: Academy of Finland: Other research funding
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eMOM: CleverHealth Network: eMOM GDM -Project
Alizadeh Ashrafi, R., Marttinen, P., Väärä, T. & Hizli, C.
05/02/2018 → 31/12/2023
Project: Business Finland: Other research funding
Datasets
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Data from: Single-cell genomics reveals hundreds of coexisting subpopulations in wild Prochlorococcus
Kashtan, N. (Contributor), Roggensack, S. E. (Contributor), Rodrigue, S. (Contributor), Thompson, J. W. (Contributor), Biller, S. J. (Contributor), Coe, A. (Contributor), Ding, H. (Contributor), Marttinen, P. (Creator), Malmstrom, R. R. (Contributor), Stocker, R. (Contributor), Follows, M. (Contributor), Stepanauskas, R. (Creator) & SW, C. (Creator), Dryad Digital Repository, 25 Apr 2014
DOI: 10.5061/dryad.9r0p6, https://datadryad.org/resource/doi:10.5061/dryad.9r0p6 and 8 more links, https://doi.org/10.5061/dryad.9r0p6/1, https://doi.org/10.5061/dryad.9r0p6/2, https://doi.org/10.5061/dryad.9r0p6/3, https://doi.org/10.5061/dryad.9r0p6/4, https://doi.org/10.5061/dryad.9r0p6/5, https://doi.org/10.5061/dryad.9r0p6/6, https://doi.org/10.5061/dryad.9r0p6/7, https://doi.org/10.5061/dryad.9r0p6/8 (show fewer)
Dataset
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Data from: Cryptic ecology among host generalist Campylobacter jejuni in domestic animals
Sheppard, S. K. (Contributor), Cheng, L. (Contributor), Méric, G. (Contributor), Haan, C. (Contributor), Llarena, A. (Contributor), Marttinen, P. (Contributor), Vidal, A. (Contributor), Ridley, A. (Contributor), Clifton-Hadley, F. (Contributor), Connor, T. R. (Contributor), Strachan, N. (Creator), Forbes, K. (Creator), Colles, F. (Creator), Jolley, K. (Creator), Bentley, S. (Creator), Maiden, M. (Creator), Hänninen, M. (Creator), Parkhill, J. (Creator), Hanage, W. (Creator) & Corander, J. (Creator), Dryad Digital Repository, 28 Mar 2014
DOI: 10.5061/dryad.hk860, https://datadryad.org/resource/doi:10.5061/dryad.hk860 and 3 more links, https://doi.org/10.5061/dryad.hk860/1, https://doi.org/10.5061/dryad.hk860/2, https://doi.org/10.5061/dryad.hk860/3 (show fewer)
Dataset
Activities
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Harvard School of Public Health
Pekka Marttinen (Visiting researcher)
20 Aug 2018 → 24 Aug 2018Activity: Visiting an external institution types › Visit abroad
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Interactive elicitation of knowledge on feature relevance improves predictions in small data sets
Pekka Marttinen (Speaker)
14 Mar 2017Activity: Talk or presentation types › Conference presentation
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Foreign Organisation
Pekka Marttinen (Visiting researcher)
5 Jun 2016 → 24 Jun 2016Activity: Visiting an external institution types › Visit abroad
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Harvard University
Pekka Marttinen (Visiting researcher)
2014Activity: Visiting an external institution types › Visit abroad
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Permafrost workshop on bacterial evolution, Bormio, 4.-9.2.2011, Italy
Pekka Marttinen (Speaker)
2011Activity: Talk or presentation types › Public or invited talk
Press / Media
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Using A Deep Neural Network Model to Predict Elderly Care
23/12/2019
1 item of Media coverage
Press/Media: Media appearance
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New algorithm identifies gene transfers between different bacterial species
19/12/2019
1 item of Media coverage
Press/Media: Media appearance
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Terveyspalvelujen käyttöä ennustava neuroverkkomalli voi säästää miljoonia
16/12/2019
1 item of Media coverage
Press/Media: Media appearance
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Neural Network For Elderly Care Could Save millions
14/12/2019 → 16/12/2019
3 items of Media coverage
Press/Media: Media appearance
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Daily Health News Bulletin (16-12-19).
16/12/2019
1 item of Media coverage
Press/Media: Media appearance