Iiris Sundin

Doctoral Candidate, Professorship Kaski Samuel
Doctoral Candidate, Helsinki Institute for Information Technology (HIIT)
Doctoral Candidate, Probabilistic Machine Learning
School services, SCI
Doctoral Candidate, Department of Computer Science

https://orcid.org/0000-0002-6737-8249

Phone+358 50 3392370

Aalto SCI Computer Science Konemiehentie 2

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Education/Academic qualification

Master's degree, Engineering and Technology, Aalto University

Award Date: 10 Jun 2013

Bachelor's degree, Engineering and Technology, Aalto University

Award Date: 16 Jun 2011

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6 Article
5 Conference contribution
1 Abstract
1 Paper

Targeted Active Learning for Bayesian Decision-Making
Filstroff, L., Sundin, I., Mikkola, P., Tiulpin, A., Kylmäoja, J. & Kaski, S., May 2021, (Submitted) In: Submitted.
Research output: Contribution to journal › Article › Scientific › peer-review
Active Learning for Decision-Making from Imbalanced Observational Data
Sundin, I., Schulam, P., Siivola, E., Vehtari, A., Saria, S. & Kaski, S., 2019, 36th International Conference on Machine Learning, ICML 2019. p. 10578-10587 10 p. (Proceedings of Machine Learning Research; vol. 97).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Open Access
File
20 Downloads (Pure)
Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge
Sundin, I., Peltola, T., Micallef, L., Afrabandpey, H., Soare, M., Majumder, M. M., Daee, P., He, C., Serim, B., Havulinna, A., Heckman, C., Jacucci, G., Marttinen, P. & Kaski, S., 27 Jun 2018, In: Bioinformatics. 34, 13, p. i395-i403
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
7 Citations (Scopus)

81 Downloads (Pure)
Using counterfactual queries to improve models for decision-support
Sundin, I., Schulam, P., Siivola, E., Vehtari, A., Saria, S. & Kaski, S., 2018.
Research output: Contribution to conference › Abstract › Scientific › peer-review
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets
Micallef, L., Sundin, I., Marttinen, P., Ammad-Ud-Din, M., Peltola, T., Soare, M., Jacucci, G. & Kaski, S., 7 Mar 2017, IUI 2017 - Proceedings of the 22nd International Conference on Intelligent User Interfaces. ACM, p. 547-552 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Open Access
11 Citations (Scopus)

2 Finished

Data-Driven Decision Support for Digital Health
Sundin, I., Strahl, J., Hegde, P., Kaski, S., Daee, P., Eranti, P., Niinimäki, T. & Vuollekoski, H.
01/01/2016 → 30/06/2018
Project: Academy of Finland: Other research funding
Interactive machine learning from multiple biodata sources
Sundin, I., Shen, Z., Hegde, P., Daee, P., Eranti, P., Kaski, S., Pesonen, H., Reinvall, J., Jälkö, J., Aushev, A., Çelikok, M. M. & Kangas, J.
01/01/2016 → 31/12/2018
Project: Academy of Finland: Other research funding

Probabilistic user modelling methods for improving human-in-the-loop machine learning for prediction
Aki Vehtari, Pedram Daee, Giulio Jacucci, Iiris Sundin, Pekka Marttinen, Tuukka Ruotsalo, Samuel Kaski & Aki Havulinna
12/05/2021
1 item of Media coverage
Press/Media: Media appearance