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Maximizing the likelihood of detecting outbreaks in temporal networks
Sterchi, M., Sarasua, C., Grütter, R., & Bernstein, A. (2020). Maximizing the likelihood of detecting outbreaks in temporal networks. In H. Cherifi, S. Gaito, J. F. Mendes, E. Moro, & L. M. Rocha (Eds.), Studies in computational intelligence: Vol. 882. Complex networks and their applications VIII. Volume 2 proceedings of the eighth international conference on complex networks and their applications COMPLEX NETWORKS 2019 (pp. 481-493). https://doi.org/10.1007/978-3-030-36683-4_39
A transdisciplinary approach supporting the implementation of a Big Data project in livestock production: an example from the Swiss pig production industry
Faverjon, C., Bernstein, A., Grütter, R., Nathues, C., Nathues, H., Sarasua, C., … Berezowski, J. (2019). A transdisciplinary approach supporting the implementation of a Big Data project in livestock production: an example from the Swiss pig production industry. Frontiers in Veterinary Science, 6, 215 (11 pp.). https://doi.org/10.3389/fvets.2019.00215
The pig transport network in Switzerland: structure, patterns, and implications for the transmission of infectious diseases between animal holdings
Sterchi, M., Faverjon, C., Sarasua, C., Vargas, M. E., Berezowski, J., Bernstein, A., … Nathues, H. (2019). The pig transport network in Switzerland: structure, patterns, and implications for the transmission of infectious diseases between animal holdings. PLoS One, 14(5), e0217974 (20 pp.). https://doi.org/10.1371/journal.pone.0217974