Tutkimus
Tältä sivulta löydät hankkeen julkaisut teemoittain.
Hankkeen julkaisut
Koneoppiminen ja päätelmien luotettavuus
- Honkamaa, J., Khan, U., Koivukoski, S., Valkonen, M., Latonen, L., Ruusuvuori, P., and Marttinen, P. (2023). Deformation equivariant cross-modality image synthesis with paired non-aligned training data. Medical Image Analysis, 90:102940. Linkki artikkeliin.
- Hizli, C., John, S.T., Juuti, A., Saarinen, T., Pietiläinen, K., and Marttinen, P. (2023). Causal Modeling of Policy Interventions From Treatment–Outcome Sequences. In Proceedings of the 40th International Conference on Machine Learning, PMLR 202. (ICML 2023). Linkki artikkeliin.
- Raj, V., Cui, T., Heinonen, M., and Marttinen, P. (2023). Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach. The Proceedings of 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6741-6763. (AISTATS 2023). Linkki artikkeliin.
- Karami, S., Saberi-Movahed, F., Tiwari, P., Marttinen, P., and Vahdati, S. (2023). Unsupervised Feature Selection Based on Variance-Covariance Subspace Distance. Neural Networks, 166:188-203. Linkki artikkeliin.
- Ji, S. and Marttinen, P. (2023). Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023). Linkki artikkeliin.
- Sun, W., Ji, S., Denti, T., Moen, H., Kerro, O., Rannikko, A., Marttinen, P., and Koskinen, M. (2023). Weak Supervision and Clustering-based Sample Selection for Clinical Named Entity Recognition. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Lecture Notes in Computer Science, 14174. (ECML PKDD 2023). Linkki artikkeliin.
- Oghabian, A., van der Kolk, B.W., Marttinen, P., Valsesia, A., Langin, D., Saris, W.H., Astrup, A., Blaak, E.E., and Pietiläinen, K.H. (2023). Baseline gene expression in subcutaneous adipose tissue predicts diet-induced weight loss in individuals with obesity. PeerJ, 11:e15100. Linkki artikkeliin.
- Gao, Y., Ji, S., Zhang, T., Tiwari, P., and Marttinen, P. (2022). Contextualized graph embeddings for adverse drug event detection. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022).Linkki artikkeliin.
- Cui, T., Kumar, Y., Marttinen, P., and Kaski, S. (2022). Deconfounded Representation Similarity for Comparison of Neural Networks. Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Linkki artikkeliin.
- Rissanen, S. and Marttinen, P. (2021). A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021). Linkki artikkeliin.
- Cui, T., Havulinna, A., Marttinen, P., and Kaski, S. (2021). Informative Bayesian Neural Network Priors for Weak Signals. Bayesian Analysis, 1-31. Linkki artikkeliin.
- Sun, W, Ji, S., Cambria, E., and Marttinen, P. (2021). Multitask recalibrated aggregation network for medical code prediction. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021). Linkki artikkeliin.
Yksityisyys ja synteettinen data
- Jälkö, J & Lagerspetz, E & Haukka, J & Tarkoma, S & Honkela, A & Kaski, S (2021) Privacy-preserving data sharing via probabilistic modeling. Linkki artikkeliin.
Oikeudelliset ja eettiset vaatimukset datan käytölle
- Fritzsche, M., Akyüz, K., Abadía, M.C., McLennan, S., Marttinen, P. Mayrhofer, M.T., and Buyx, A.M. (2023). Ethical layering in AI-driven polygenic risk scores – new complexities, new challenges. Frontiers in Genetics, 14. Linkki artikkeliin.
- Tupasela, A. (2022). Data Ethics and the Testbed Nation. In E. di Nucci, J-Y Lee & I.A. Wagner (Eds.), The Rowan & Littlefield Book of Bioethics. Rowan & Littlefield Publishers. (forthcoming)
- Tarkkla H & Snell K (2022) ‘The window of opportunity is closing’—advocating urgency and unity. Humanities and Social Sciences Communications 9, article no 324 Linkki artikkeliin
- Snell K., Tarkkala H. & Tupasela A. (2022) A solidarity paradox – welfare state data in global health data economy. Health. Linkki artikkeliin.
- Snell, K. (2020) Henkilökohtaisten terveystietojen hyödyntämisen oikeutukset: Onko vihdoin aika keskustella ehdoista ja rajoista? Tiedepolitiikka 45(4): 16-21. Linkki artikkeliin.
Datan esittäminen ja visualisointi
- He, C., Raj, V., Moen, H., Gröhn, T., Wang, C., Peltonen, L. M., ... & Jacucci, G. (2024, March). VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models. In Proceedings of the 29th International Conference on Intelligent User Interfaces (pp. 229-244). Linkki artikkelin
- He, C., Welsch, R., & Jacucci, G. (2024). A Pilot Study Comparing ChatGPT and Google Search in Supporting Visualization Insight Discovery. In Workshops at the International Conference on Intelligent User Interfaces. CEUR-WS. org. Linkki artikkeliin
- Rusanen, A-M. (2019). Pikseleitä, kohinaa ja haurautta. Niin & näin : filosofinen aikakauslehti, 26(3), 47-53. Linkki artikkeliin.
- Rusanen, A-M. (2021). Algoritmien aakkoset. In book: Älykäs huominen - miten tekoäly ja digitalisaatio muuttavat maailmaa? (pp.33-39) Publisher: Gaudeamus. Linkki artikkeliin.
- Rusanen, A-M., Lappi, O., Kuokkanen, J., & Pekkanen, J. (2021). Action control, forward models and expected rewards: representations in reinforcement learning. Synthese, (199), 14017–14033. Linkki artikkeliin.
Julkinen sektori datan hyödyntäjänä
- Tervonen, L., & Alastalo, M. (2024). Visualisoinnit hallinnassa?: Tapaus TEAviisari suomalaisessa hyvinvointipolitiikassa. Linkki artikkeliin
- Choroszewicz, M. (2023). (In) visible everyday work of fostering a data‐driven healthcare and social service organisation. New Technology, Work and Employment. Linkki artikkeliin
- Tupasela, A. (2022). The Genetic Imagination: Imaging Populations and the Construction of Nationhood. In J. Hoegaerts, T. Liimatainen, L. Hekanaho, & E. Peterson (Eds.), Finnishness, Whiteness and Coloniality (pp. 19-40). Helsinki University Press. Linkki artikkeliin.
- Choroszewicz, M. (2022) Emotional labour in the collaborative data practices of repurposing healthcare data and building data technologies. Big Data & Society 9(1), 1-12. Linkki artikkeliin.
- Alastalo M., Parviainen J. & Choroszewicz M. (2022) Tekoälyteknologian kotoistaminen julkisiin palveluihin : Tapaus Espoon tekoälykokeilu. Yhteiskuntapolitiikka 87 (2022):3, 285-296. Linkki artikkeliin.
- Alastalo M and Helén I. (2022) A code for care and control: The PIN as an operator of interoperability in the Nordic welfare state. History of the Human Sciences. 2022;35(1):242-265. Linkki artikkeliin.
- Choroszewicz M. and Alastalo M. (2021) "Organisational and Professional Hierarchies in a Data Management System: Public–Private Collaborative Building of Public Healthcare and Social Services in Finland". Information, Communication & Society. Linkki artikkeliin.
- Ustek-Spilda F. & Alastalo M. (2020) Software-Sorted Exclusion of Asylum Seekers in Norway and Finland. Global Perspectives 11 May 2020; 1 (1): 12978. Linkki artikkeliin.
- Snell, K. (2020) Henkilökohtaisten terveystietojen hyödyntämisen oikeutukset: Onko vihdoin aika keskustella ehdoista ja rajoista? Tiedepolitiikka 45(4): 16-21. Linkki artikkeliin.