Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Devlopment Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctoral degree, Natural Sciences, University of Helsinki
Award Date: 21 Nov 2008
Keywords
- Statistical Machine Learning
- Computational biology
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
Ji, S., Pan, S., Cambria, E., Marttinen, P. & Yu, P. S., 2021, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems . 21 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access29 Citations (Scopus) -
Computational modelling of self-reported dietary carbohydrate intake on glucose concentrations in patients undergoing Roux-en-Y gastric bypass versus one-anastomosis gastric bypass
Ashrafi, R. A., Ahola, A. J., Rosengård-Bärlund, M., Saarinen, T., Heinonen, S., Juuti, A., Marttinen, P. & Pietiläinen, K. H., 2021, In: Annals of Medicine. 53, 1, p. 1885-1895 11 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Downloads (Pure) -
Crop loss identification at field parcel scale using satelliteremote sensing and machine learning
Hiremath, S., Wittke, S., Palosuo, T., Kaivosoja, J., Tao, F., Proll, M., Puttonen, E., Peltonen-Sainio, P., Marttinen, P. & Mamitsuka, H., 4 May 2021, (Submitted) In: PloS one.Research output: Contribution to journal › Article › Scientific › peer-review
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Does the magic of BERT apply to medical code assignment? A quantitative study
Ji, S., Hölttä, M. & Marttinen, P., Dec 2021, In: COMPUTERS IN BIOLOGY AND MEDICINE. 139, 104998.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
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 AccessFile1 Citation (Scopus)15 Downloads (Pure)
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Data Literacy for Responsible Decision-Making
Marttinen, P., Kumar, Y., Tiwari, P. & Ji, S.
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. & 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. P. (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
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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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Probabilistic user modelling methods for improving human-in-the-loop machine learning for prediction
Aki Vehtari, Pekka Marttinen, Samuel Kaski, Pedram Daee, Giulio Jacucci, Iiris Sundin, Tuukka Ruotsalo & Aki Havulinna
12/05/2021
1 item of Media coverage
Press/Media: Media appearance
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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