Dan Børge Jensen
Associate Professor
- 2019
- 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
- 2017
- 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
- 2016
- 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
- Published
Early warning of diarrhea and pen fouling in growing pigs using sensor-based monitoring
Jensen, Dan Børge, Toft, N. & Kristensen, Anders Ringgaard, Jun 2016. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
Dynamic generalized linear models for monitoring endemic diseases: moving beyond univariate process monitoring control algorithms
Lopes Antunes, A. C., Jensen, Dan Børge, Halasa, T. & Toft, N., Mar 2016. 11 p.Research output: Contribution to conference › Paper › Research › peer-review
- 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
- 2015
- 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
- Published
The intelligent pig barn
Kristensen, Anders Ringgaard & Jensen, Dan Børge, 29 Apr 2015, Improving Pig Welfare - what are the ways forward?: International conference on pig welfare. p. 34-37 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- Published
A multi-dimensional dynamic linear model for monitoring slaughter pig production
Jensen, Dan Børge, Cornou, C., Toft, N. & Kristensen, Anders Ringgaard, 2015.Research output: Contribution to conference › Paper › Research › peer-review
- Published
A multi-dimensional dynamic linear model for monitoring growing pigs
Jensen, Dan Børge, 2015, Up to date with pig research: book of presentations of the 2nd CPH Pig seminar. Faculty of Health and Medical Sciences, University of Copenhagen, p. 55-58 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
ID: 44182188
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296
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The intelligent pig barn
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
Published -
169
downloads
Bayesian integration of sensor information and a multivariate dynamic linear model for prediction of dairy cow mastitis
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
165
downloads
Temperature as a predictor of fouling and diarrhea in Slaughter pigs
Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
Published