Anders Læsø Madsen

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Anders Læsø Madsen

20122022

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  • A Decision Support System to Predict Acute Fish Toxicity

    Madsen, A. L., Moe, S. J., Braunbeck, T., Connors, K. A., Embry, M., Schirmer, K., Scholz, S., Wolf, R. & Lillicrap, A. D., 2022, Proceedings of the 11th International Conference on Probabilistic Graphical Models. Salmerón, A. & Rumi, R. (eds.). PMLR Press, p. 253-264 12 p. (The Proceedings of Machine Learning Research, Vol. 186).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    File

  • Comparative study of fuzzy-AHP and BBN for spatially-explicit prediction of bark beetle predisposition

    Tahri, M., Kašpar, J., Madsen, A. L., Modlinger, R., Zabihi, K., Marušák, R. & Vacik, H., Jan 2022, In: Environmental Modelling and Software. 147, 105233.

    Research output: Contribution to journal › Journal article › Research › peer-review

    4 Citations (Scopus)

  • Data driven Bayesian network to predict critical alarm

    Mietkiewicz, J. & Madsen, A. L., 2022, Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022). Leva, M. C., Patelli, E., Podofillini, L. & Wilson, S. (eds.). Research Publishing, Singapore, 522

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    File
    1 Downloads (Pure)

  • Improvement of the Fine tuning algorithm

    Mietkiewicz, J. & Madsen, A. L., 2022, BNAIC/BeNeLearn - Joint International Scientific Conferences on AI and Machine Learning. 12 p.

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    File

  • Online Updating of Conditional Linear Gaussian Bayesian Networks

    Madsen, A. L., Olesen, K. G., Jensen, F., Henriksen, P. A., Larsen, T. M. & Møller, J. M., 2022, Proceedings of the 11th International Conference on Probabilistic Graphical Models: PMLR. Salmeròn, A. & Rumi, R. (eds.). PMLR Press, Vol. 186. p. 97-108 12 p. (The Proceedings of Machine Learning Research, Vol. 186).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    File
    4 Downloads (Pure)
View all 73 research outputs