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  • 2022

    Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters

    Brogat-Motte, L., Flamary, R., Brouard, C., Rousu, J. & d'Alché-Buc, F., 2022, Proceedings of the 39th International Conference on Machine Learning, PMLR. JMLR, p. 2321-2335 (Proceedings of Machine Learning Research ; vol. 162).

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

    Open Access
  • 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
  • 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

  • 2020

    Partial Trace Regression and Low-Rank Kraus Decomposition

    Kadri, H., Ayache, S., Huusari, R., Rakotomamonjy, A. & Ralaivola, L., 2020, 37th International Conference on Machine Learning, ICML 2020. International Machine Learning Society , p. 4998-5008 11 p. (Proceedings of Machine Learning Research ; vol. 119).

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

    Open Access
    File
    2 Citations (Scopus)
    12 Downloads (Pure)
  • 2019

    Clustering Diagnostic Profiles of Patients

    Hollmén, J. & Papapetrou, P., 1 Jan 2019, Artificial Intelligence Applications and Innovations - 15th IFIP WG 12.5 International Conference, AIAI 2019, Proceedings. Maglogiannis, I., Pimenidis, E., Iliadis, L. & MacIntyre, J. (eds.). Springer, p. 120-126 7 p. (IFIP Advances in Information and Communication Technology; vol. 559).

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

  • Large-Scale Sparse Kernel Canonical Correlation Analysis

    Uurtio, V., Bhadra, S. & Rousu, J., 2019, 36th International Conference on Machine Learning, ICML 2019. JMLR, p. 6383-6391 9 p. (Proceedings of Machine Learning Research; vol. 97).

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

    Open Access
    File
    68 Downloads (Pure)
  • Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland

    Kuzmanovski, V., Sulkava, M., Palosuo, T. & Hollmén, J., 1 Jan 2019, Discovery Science 22nd International Conference, DS 2019, Proceedings. Kralj Novak, P., Džeroski, S. & Šmuc, T. (eds.). Springer, p. 176-185 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11828 LNAI).

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

  • 2018

    Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature

    Hollmén, J., Boström, H., Asker, L., Karlsson, I., Papapetrou, P., Wikner, B. N. & Ohman, I., 26 Jun 2018, Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, PETRA 2018. ACM, p. 1-4 4 p.

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

  • Sparse Non-linear CCA through Hilbert-Schmidt Independence Criterion

    Uurtio, V., Bhadra, S. & Rousu, J., 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. IEEE, p. 1278-1283 6 p. 8594981

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

    Open Access
    File
    6 Citations (Scopus)
    239 Downloads (Pure)
  • 2017

    BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints

    Maslov, A., Pechenizkiy, M., Pel, Y., Zliobaite, I., Shklyaev, A., Karkkainen, T. & Hollmen, J., 30 Jun 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. IEEE, p. 1916-1923 8 p. 7966085. (Proceedings of International Joint Conference on Neural Networks).

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

    3 Citations (Scopus)
  • Decreasing Uncertainty in Planning with State Prediction

    Krivic, S., Cashmore, M., Magazzeni, D., Ridder, B., Szedmak, S. & Piater, J., Aug 2017, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17). Sierra, C. (ed.). IJCAI, p. 2032-2038

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

  • Focusing business process lead time improvements using influence analysis

    Lehto, T., Hinkka, M. & Hollmén, J., 2017, Data-driven Process Discovery and Analysis: Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), Neuchatel, Switzerland, December 6-8, 2017. Ceravolo, P., Van Keulen, M. & Stoffel, K. (eds.). CEUR, p. 54-67 14 p. (CEUR Workshop Proceedings ; vol. 2016).

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

    Open Access
    File
    4 Citations (Scopus)
    174 Downloads (Pure)
  • Initial state prediction in planning

    Krivic, S., Cashmore, M., Ridder, B., Magazzeni, D., Szedmak, S. & Piater, J., 1 Jan 2017, WS-17-01: Artificial Intelligence and Operations Research for Social Good; WS-17-02: Artificial Intelligence, Ethics, and Society; WS-17-03: Artificial Intelligence for Connected and Automated Vehicles; WS-17-04: Artificial Intelligence for Cyber Security; WS-17-05: Artificial Intelligence for Smart Grids and Buildings; WS-17-06: Computer Poker and Imperfect Information Games; WS-17-07: Crowdsourcing, Deep Learning and Artificial Intelligence Agents; WS-17-08: Distributed Machine Learning; WS-17-09: Joint Workshop on Health Intelligence; WS-17-10: Human-Aware Artificial Intelligence; WS-17-11: Human-Machine Collaborative Learning; WS-17-12: Knowledge-Based Techniques for Problem Solving and Reasoning; WS-17-13: Plan, Activity, and Intent Recognition; WS-17-14: Symbolic Inference and Optimization; WS-17-15: What's Next for AI in Games?. AI Access Foundation, p. 750-757 8 p.

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

  • Magnitude-Preserving Ranking for Structured Outputs

    Brouard, C., Bach, E., Böcker, S. & Rousu, J., 3 Nov 2017, Proceedings of the Ninth Asian Conference on Machine Learning. Zhang, M-L. & Noh, Y-K. (eds.). JMLR, p. 407-422 16 p. (Proceedings of Machine Learning Research; vol. 77).

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

    Open Access
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    32 Downloads (Pure)
  • Prediction of major complications affecting very low birth weight infants

    Rinta-Koski, O-P., Särkkä, S., Hollmen, J., Leskinen, M., Rantakari, K. & Andersson, S., 2017, 2017 IEEE LIFE SCIENCES CONFERENCE (LSC). IEEE, p. 186-189 4 p.

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

    1 Citation (Scopus)
  • 2016

    Focusing business improvements using process mining based influence analysis

    Lehto, T., Hinkka, M. & Hollmén, J., 2016, Business Process Management Forum - BPM Forum, 2016, Proceedings. Springer, p. 177-192 16 p. (Lecture Notes in Business Information Processing; vol. 260).

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

    12 Citations (Scopus)
  • Kronecker decomposition for image classification

    Fontanella, S., Rodríguez-Sánchez, A. J., Piater, J. & Szedmak, S., 2016, Experimental IR Meets Multilinguality, Multimodality, and Interaction - 7th International Conference of the CLEF Association, CLEF 2016, Proceedings. Springer, Vol. 9822. p. 137-149 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9822).

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

  • Modelling recurrent events for improving online change detection

    Maslov, A., Pechenizkiy, M., Zliobaite, I. & Kärkkäinen, T., 2016, Proceedings of the 2016 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics (SIAM), p. 549-557 9 p.

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

    4 Citations (Scopus)
  • Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo

    Heinonen, M., Mannerström, H., Rousu, J., Kaski, S. & Lähdesmäki, H., 2016, Proceedings of the 19th International Conference on Artificial Intelligence and Statistics: JMLR: W&CP. JMLR, p. 732-740 9 p. ( JMLR: Workshop and Conference Proceedings; vol. 51).

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

  • Predicting Respiratory Motion for Real-Time Tumour Tracking in Radiotherapy

    Krilavicius, T., Zliobaite, I., Simonavicius, H. & Jarusevicius, L., 2016, IEEE Symposium on Computer-Based Medical Systems. IEEE, p. 7-12 (Computer-Based Medical Systems (CBMS), 2016 IEEE 29th International Symposium on).

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

    7 Citations (Scopus)
  • Resource frequency prediction in healthcare: Machine learning approach

    Vieira, D. & Hollmen, J., 16 Aug 2016, Proceedings - IEEE 29th International Symposium on Computer-Based Medical Systems, CBMS 2016. IEEE, Vol. 2016-August. p. 88-93 6 p. 7545963

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

    5 Citations (Scopus)
  • Soft Kernel Target Alignment for Two-stage Multiple Kernel Learning

    Shen, H., Szedmak, S., Brouard, C. & Rousu, J., Oct 2016, Discovery Science: 19th International Conference, DS 2016, Bari, Italy, October 19–21, 2016, Proceedings. Calders, T., Ceci, M. & Malerba, D. (eds.). 1 ed. Springer, Vol. 9956. p. 427-441 (Lecture Notes in Artificial Intelligence; vol. 9956).

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