Jaakko Hollmen

    • Aalto SCI Computer Science Konemiehentie 2

    1996 …2022

    Research activity per year

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    Personal profile

    Expertise related to UN Sustainable Development 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):

    • SDG 3 - Good Health and Well-being
    • SDG 7 - Affordable and Clean Energy
    • SDG 11 - Sustainable Cities and Communities
    • SDG 13 - Climate Action

    Education/Academic qualification

    Doctoral degree, Engineering and Technology, Helsinki University of Technology

    Award Date: 21 Dec 2000

    Licentiate degree, Engineering and Technology, Helsinki University of Technology

    Award Date: 15 Dec 1999

    Master's degree, Engineering and Technology, Helsinki University of Technology

    Award Date: 27 Feb 1996

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    • Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results

      Sirola, M., Rinta-Koski, O. P., Nguyen, L. N. & Hollmen, J., 2022, Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022. IEEE, p. 257-262 6 p.

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

      Open Access
    • Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation

      Kuzmanovski, V. & Hollmén, J., 2022, Discovery Science - 25th International Conference, DS 2022, Proceedings. Pascal, P. & Ienco, D. (eds.). p. 418-428 11 p. (Lecture Notes in Computer Science ; vol. 13601 LNCS).

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

    • Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models

      Kuzmanovski, V. & Hollmen, J., 2021, Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Proceedings. Henriques Abreu, P., Pereira Rodrigues, P., Fernández, A. & Gama, J. (eds.). p. 171-183 13 p. 14. (Lecture Notes in Computer Science; vol. 12695).

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

      Open Access
      File
      72 Downloads (Pure)
    • Early oxygen levels contribute to brain injury in extremely preterm infants

      Rantakari, K., Rinta-Koski, O. P., Metsäranta, M., Hollmén, J., Särkkä, S., Rahkonen, P., Lano, A., Lauronen, L., Nevalainen, P., Leskinen, M. J. & Andersson, S., Jul 2021, In: Pediatric Research. 90, 1, p. 131-139 9 p.

      Research output: Contribution to journalArticleScientificpeer-review

      Open Access
      File
      8 Citations (Scopus)
      23 Downloads (Pure)
    • State Discovery and Prediction from Multivariate Sensor Data

      Rinta-Koski, O. P., Sirola, M., Nguyen, L. N. & Hollmén, J., 2021, Advanced Analytics and Learning on Temporal Data - 6th ECML PKDD Workshop, AALTD 2021, Revised Selected Papers. Lemaire, V., Malinowski, S., Bagnall, A., Guyet, T., Tavenard, R. & Ifrim, G. (eds.). p. 155-169 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13114 LNAI).

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