Sanggaard, K. W., Bechsgaard, J. S., Fang, X.
, Duan, J., Dyrlund, T. F., Gupta, V., Jiang, X., Cheng, L., Fan, D., Feng, Y., Han, L., Huang, Z., Wu, Z., Liao, L.
, Settepani, V., Thøgersen, I. B., Vanthournout, B., Wang, T., Zhu, Y.
... Wang, J. (2014).
Spider genomes provide insight into composition and evolution of venom and silk.
Nature Communications,
5, Article 3765.
https://doi.org/10.1038/ncomms4765
Sandom, C. J., Sandel, B. S., Dalby, L., Kissling, W. D., Nielsen, K. T., Fløjgaard, C., Lenoir, J., Ejrnæs, R. & Svenning, J.-C. (2012).
Predator-prey interactions as macro-scale drivers of species diversity in mammals. Abstract from Ecological Society of America, 97th Annual Meeting, Portland, United States.
http://eco.confex.com/eco/2012/webprogram/Paper37320.html
Sandom, C. J., Dalby, L., Fløjgaard, C., Kissling, W. D., Lenoir, J., Sandel, B. S., Nielsen, K. T., Ejrnæs, R. & Svenning, J.-C. (2013).
Mammal predator and prey species richness are strongly linked at macroscales.
Ecology,
94(5), 1112-1122.
https://doi.org/10.1890/12-1342.1
Sandel, B. S., Arge, L. A., Dalsgaard, B., Davies, R., Gaston, K., Sutherland, B.
& Svenning, J.-C. (2011).
The influence of Late Quaternary climate-change velocity on species endemism.
Science,
334, 660-664.
Sandel, B. S., Arge, L., Dalsgaard, B., Davies, R. G., Gaston, K. J., Sutherland, W. J.
& Svenning, J.-C. (2012).
Response - Global Endemism Needs Spatial Integration Response.
Science,
335(6066), 285-286.
https://doi.org/10.1126/science.335.6066.285-a
Sandager, P., Lindahl, C., Schlütter, J. M., Uldbjerg, N., Wagner, S. R., Toftegaard, T. S. & Bertelsen, O. W. (2013).
Context-aware patient guidance during blood pressure self-measurement. In
Proceedings of the IADIS International Conference e-Health 2013, EH 2013 (pp. 153-157). University of Twente.
http://www.scopus.com/record/display.url?view=basic&eid=2-s2.0-84886912072&origin=resultslist
Sand, A., Pedersen, C. N. S., Mailund, T., Brodal, G. S. & Fagerberg, R. (2013).
A practical O(n log2 n) time algorithm for computing the triplet distance on binary trees.
B M C Bioinformatics,
14(Suppl 2), S18.
https://doi.org/10.1186/1471-2105-14-S2-S18
Sand, A., Holt, M. K., Johansen, J., Fagerberg, R.
, Pedersen, C. N. S., Brodal, G. S. & Mailund, T. (2013).
Algorithms for Computing the Triplet and Quartet Distances for Binary and General Trees.
Biology,
2(4), 1189-1209.
https://doi.org/10.3390/biology2041189
Sand, A., Holt, M. K., Johansen, J.
, Brodal, G. S., Mailund, T. & Pedersen, C. N. S. (2014).
tqDist: A Library for Computing the Quartet and Triplet Distances Between Binary and General Trees.
Bioinformatics,
30(4), 2079-2080.
https://doi.org/10.1093/bioinformatics/btu157
Sammler, M., Hammond, A., Lepigre, R., Campbell, B.
, Pichon-Pharabod, J., Dreyer, D., Garg, D. & Sewell, P. (2022).
Islaris: verification of machine code against authoritative ISA semantics. In R. Jhala & I. Dillig (Eds.),
PLDI 2022 - Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation (pp. 825-840). Association for Computing Machinery.
https://doi.org/10.1145/3519939.3523434
Saleem, M. A., Soares da Costa, F., Dolog, P.
, Karras, P., Pedersen, T. B. & Calders, T. (2018).
Predicting Visitors Using Location-Based Social Networks. In
Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018 (pp. 245-250). IEEE.
https://doi.org/10.1109/MDM.2018.00043
Saleem, M. A., Calders, T.
, Pedersen, T. B. & Karras, P. (2021).
Finding Geo-Social Cohorts in Location-Based Social Networks. In L. H. U, M. Spaniol, Y. Sakurai & J. Chen (Eds.),
Web and Big Data - 5th International Joint Conference, APWeb-WAIM 2021, Proceedings: 5th International Joint Conference, APWeb-WAIM 2021, Proceedings, Part II (pp. 368-383). Springer International Publishing.
https://doi.org/10.1007/978-3-030-85899-5_27
Safavi, T., Belth, C., Faber, L.
, Mottin, D., Müller, E. & Koutra, D. (2019).
Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. 528-537. Paper presented at IEEE International Conference on Data Mining, Beijing, China.
https://web.eecs.umich.edu/~dkoutra/papers/19_ICDM_GLIMPSE-CR.pdf
Sætrom, P., Heale, B. S. E., Snøve, O.
, Aagaard, L., Alluin, J. & Rossi, J. J. (2007).
Distance Constraints between microRNA Target Sites Dictate Efficacy and Cooperativity.
Nucleic Acids Research (NAR).
https://doi.org/10.1093/nar/gkm133
Saatci, B., Rädle, R., Rintel, S., O'Hara, K.
& Klokmose, C. N. (2019).
Hybrid Meetings in the Modern Workplace: Stories of Success and Failure. 45-61. Paper presented at International Conference on Collaboration and Technology, Kyoto, Japan.
Saad-Sulonen, J., Halskov, K., Eriksson, E., Vines, J., Huybrechts, L. & Karasti, T. H. (2015).
Unfolding Participation: What do we mean by participation – conceptually and in practice.
Aarhus Series on Human Centered Computing ,
1(1).
https://doi.org/10.7146/aahcc.v1i1.21324
Roy, L. & Xu, J. (2023).
A Universally Composable PAKE with Zero Communication Cost: (And Why It Shouldn’t Be Considered UC-Secure). In A. Boldyreva & V. Kolesnikov (Eds.),
Public-Key Cryptography – PKC 2023: 26th IACR International Conference on Practice and Theory of Public-Key Cryptography, Atlanta, GA, USA, May 7–10, 2023, Proceedings, Part I (pp. 714-743). Springer.
https://doi.org/10.1007/978-3-031-31368-4_25
Roujol, S., de Senneville, B., Vahala, E.
, Sørensen, T. S., Moonen, C. & Ries, M. (2009).
Online real-time reconstruction of adaptive TSENSE with commodity CPU / GPU hardware.
International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. Proceedings, 2839.
Roujol, S., de Senneville, B. D., Vahalla, E.
, Sørensen, T. S., Moonen, C. & Ries, M. (2009).
Online real-time reconstruction of adaptive TSENSE with commodity CPU / GPU hardware.
Magnetic Resonance in Medicine,
62(6), 1658-1664.
https://doi.org/10.1002/mrm.22112
Rossitto, C., Lampinen, A.
, Bødker, S., Light, A., Berns, K. & Hui, J. (2020).
Reconsidering scale and scaling in CSCW research. In
CSCW '20 : Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing (pp. 493-501). Association for Computing Machinery.
https://doi.org/10.1145/3406865.3419409