Dan Børge Jensen

Dan Børge Jensen

Associate Professor

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    ORCID: 0000-0002-9437-0605

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    1. Published

      Bayesian prediction of mastitis using sensor data routinely collected in dairy herds

      Jensen, Dan Børge & Devries, A., Aug 2015, Book of Abstracts of the 66th Annual Meeting of the European Federation of Animal Science. p. 297 1 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

    2. Published

      Bayesian prediction of microbial oxygen requirement

      Jensen, Dan Børge & Ussery, D. W., 2013, In: F1000Research. 2, 184.

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

    3. Published

      Combining a multivariate dynamic linear model and a naive Bayesian classifier for mastitis detection

      Jensen, Dan Børge & De Vries, A., 2016. 1 p.

      Research output: Contribution to conference › Poster › Research › peer-review

    4. Published

      Combining a multivariate dynamic linear model with artificial neural networks for detecting diarrhea in slaughter pigs

      Jensen, Dan Børge, Kristensen, Anders Ringgaard & Pedersen, L. J., Feb 2017.

      Research output: Contribution to conference › Conference abstract for conference › Research

    5. Published

      Comparison of architectures and training strategies for convolutional neural networks intended for location-specific counting of slaughter pigs

      Jensen, Dan Børge, Vestbjerg Larsen, M. L. & Pedersen, L. J., 2019, Precision Livestock Farming 2019 : Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019. O'Brien, B., Hennessy, D. & Shalloo, L. (eds.). p. 476-483 8 p. (Precision Livestock Farming 2019 - Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    6. Published

      Comparison of strategies for combining dynamic linear models with artificial neural networks for detecting diarrhea in slaughter pigs

      Jensen, Dan Børge & Kristensen, Anders Ringgaard, Oct 2016, In: Journal of Animal Science. 94, Supplement 5, p. 84-84 1 p., 0173.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    7. Published

      Comparison of time-series models for monitoring temporal trends in endemic diseases sero-prevalence: Lessons from porcine reproductive and respiratory syndrome in Danish swine herds

      Lopes Antunes, A. C. & Jensen, Dan Børge, 2019, In: BMC Veterinary Research. 15, 1, 8 p., 231.

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

    8. Published

      Describing temporal variation in reticuloruminal pH using continuous monitoring data

      Denwood, Matt, Kleen, J. L., Jensen, Dan Børge & Jonsson, N. N., 2018, In: Journal of Dairy Science. 101, 1, p. 233-245 13 p.

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

    9. Published

      Different reticuloruminal pH metrics of high-yielding dairy cattle during the transition period in relation to metabolic health, activity, and feed intake

      Heirbaut, S., Jensen, Dan Børge, Jing, X. P., Stefańska, B., Lutakome, P., Vandaele, L. & Fievez, V., 2022, In: Journal of Dairy Science. 105, 8, p. 6880-6894 15 p.

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

    10. Dynamic forecasting of individual cow milk yield in automatic milking systems

      Jensen, Dan Børge, van der Voort, M. & Hogeveen, H., Nov 2018, In: Journal of Dairy Science. 101, 11, p. 10428-10439 12 p.

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

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