• PL 68 (Pietari Kalmin katu 5))

    00014

    Finland

20102020

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Research interests

My most recent research focuses on developing novel methods for exploratory data analysis combining the capabilities of the human and the computer. My research interests spans from constraint-based reasoning to data analysis, and, in particular, the combinations therein. The publications listed here are an incomplete selection. For more information about my research interests and a complete list of publications, see my homepage or my Google Scholar profile.

Fields of Science

  • 113 Computer and information sciences

International and National Collaboration Publications and projects within past five years.

Publications

Finding Periodic Apartments via Boolean Satisfiability and Orderly Generation

Savela, J., Oikarinen, E. & Järvisalo, M., 27 May 2020, LPAR-23: 23rd International Conference on Logic for Programming, Artificial Intelligence and Reasoning. Albert, E. & Kovács, L. (eds.). EasyChair Publications, p. 465-482 18 p. (EPiC Series in Computing; vol. 73).

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

Open Access
File

Interactive visual data exploration with subjective feedback: an information-theoretic approach

Puolamäki, K., Oikarinen, E., Kang, B., Lijffijt, J. & Bie, T. D., Jan 2020, In : Data Mining and Knowledge Discovery. 34, 1, p. 21–49 29 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Machine learning models to replicate large-eddy simulations of air pollutant concentrations along boulevard-type streets

Lange, M. J., Suominen, H. J., Kurppa, M., Järvi, L., Oikarinen, E., Savvides, R. & Puolamäki, K., 2020, (Submitted) In : Geoscientific Model Development.

Research output: Contribution to journalArticleScientificpeer-review

File

Supervised Human-Guided Data Exploration

Oikarinen, E., Puolamäki, K., Khoshrou, S. & Pechenizkiy, M., 2020, Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I. Springer, Cham, p. 85-101 (Communications in Computer and Information Science; vol. 1167).

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

Open Access
File

Applying machine learning to replicate large-eddy simulation results on urban pollutant dispersion

Kurppa, M., Lange, M. J., Suominen, H. J., Oikarinen, E., Savvides, R., Järvi, L. & Puolamäki, K., 2019, Proceedings of The Center of Excellence in Atmospheric Science (CoE ATM) Annual Seminar 2019. Laurila, T., Lintunen, A. & Kulmala, M. (eds.). Helsinki: Finnish Association for Aerosol Research, FAAR, p. 363-365 3 p. (Report Series in Aerosol Science ; no. 226 (2019)).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Open Access
File