Lecturer Hollmen Jaakko group

Search results

  • 2023

    A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models

    Agriesti, S., Kuzmanovski, V., Hollmen, J., Roncoli, C. & nahmias-biran, B., 2023, In: IEEE open Journal of Intelligent transportation systems. 4, p. 740-754 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    22 Downloads (Pure)
  • 2022

    BAG-DSM: A Method for Generating Alternatives for Hierarchical Multi-Attribute Decision Models Using Bayesian Optimization

    Gjoreski, M., Kuzmanovski, V. & Bohanec, M., Jun 2022, In: Algorithms. 15, 6, p. 1-22 22 p., 197.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    2 Citations (Scopus)
    61 Downloads (Pure)
  • 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. (IEEE international conference on smart computing).

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

    Open Access
    1 Citation (Scopus)
  • 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.). Springer, p. 418-428 11 p. (Lecture Notes in Computer Science ; vol. 13601 LNCS).

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

  • 2021

    Multilevel Flow Model of an Espresso Machine

    Sirola, M. & Thunem, H. P. J., 2021, Proceedings of the 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2021. IEEE, p. 1-6 6 p. (Proceedings of the ... IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems).

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

  • 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.). Springer, 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 article in proceedingsScientificpeer-review