Agarwal, P. K.
, Yang, J., Arge, L., Govindarajan, S. & Yi, K. (2013).
Efficient external memory structures for range-aggregate queries.
Computational Geometry,
46(3), 358-370.
https://doi.org/10.1016/j.comgeo.2012.10.003
Feldthaus, A., Schäfer, M., Sridharan, M., Dolby, J. & Tip, F. (2013).
Efficient construction of approximate call graphs for JavaScript IDE services. I D. Notkin, B. H. C. Cheng & K. Pohl (red.),
Proceedings of the 2013 International Conference on Software Engineering, ICSE '13 (s. 752-761 ). IEEE Communications Society.
http://dl.acm.org.ez.statsbiblioteket.dk:2048/citation.cfm?id=2486887&CFID=280253056&CFTOKEN=11487082
Georges, A. L., Guéneau, A., Van Strydonck, T.
, Timany, A., Trieu, A., Huyghebaert, S., Devriese, D.
& Birkedal, L. (2021).
Efficient and provable local capability revocation using uninitialized capabilities.
Proceedings of the ACM on Programming Languages ,
5(POPL), Artikel 6.
https://doi.org/10.1145/3434287
Cock, M. D.
, Dowsley, R., Horst, C., Katti, R., Nascimento, A., Poon, W. S. & Truex, S. (2019).
Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation.
IEEE Transactions on Dependable and Secure Computing,
16(2), 217-230. Artikel 7873244.
https://doi.org/10.1109/TDSC.2017.2679189
Han, K., Wu, B., Tang, J., Cui, S.
, Aslay, C. & Lakshmanan, L. VS. (2021).
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. I
Proceedings of the 2021 ACM SIGMOD International Conference on Management of Data (s. 671-684). Association for Computing Machinery.
https://doi.org/10.1145/3448016.3459243
Brodal, G. S., Fagerberg, R.
, Mailund, T., Pedersen, C. N. S. & Sand, A. (2013).
Efficient Algorithms for Computing the Triplet and Quartet Distance Between Trees of Arbitrary Degree.
The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings,
24, 1814-1832.
http://knowledgecenter.siam.org/0236-000098/0236-000098/1
Lindahl, C., Wagner, S. R., Bertelsen, O. W., Schlütter, J. M., Uldbjerg, N. & Sandager, P. (2017).
Effects of context-aware patient guidance on blood pressure selfmeasurement adherence levels.
Health Informatics Journal,
25(2), 417-428.
https://doi.org/10.1177/1460458217717073
Lindahl, C., Wagner, S., Uldbjerg, N., Schlütter, J. M., Bertelsen, O. & Sandager, P. (2019).
Effects of context-aware patient guidance on blood pressure self-measurement adherence levels.
Health Informatics Journal,
25(2), 417-428.
https://doi.org/10.1177/1460458217717073
Chan, H.-L., Lam, T.-W.
, Lee, L. K., Pan, J., Ting, H.-F.
& Zhang, Q. (2011).
Edit Distance to Monotonicity in Sliding Windows.
Lecture Notes in Computer Science,
7074, 564-573.
https://doi.org/10.1007/978-3-642-25591-5_58
Korsgaard, H., Lewkowicz, M., Boden, A.
, Bødker, S. & Avram, G. (2020).
ECSCW Workshop: Studying Technical Mechanisms for Supporting Sharing Communities. Abstract fra The 18th European Virtual Conference on
Computer-Supported Cooperative Work, Siegen, Tyskland.
https://cio.cs.au.dk/ecscw-workshop/pdfs/eCSCW_workshop__Technical_Mechanisms_for_supporting_sharing_communities.pdf
Bødker, S., Bouvin, N. O., Lutters, W., Wulf, V. & Ciolfi, L. (red.) (2011).
ECSCW 2011: Proceedings of the 12th European Conference on Computer Supported Cooperative Work, 24-28 September 2011, Aarhus, Denmark. Springer.
https://doi.org/10.1007/978-0-85729-913-0
Blevis, E.
, Bødker, S., Flach, J., Forlizzi, J., Jung , H., Kaptelinin, V., Nardi, B. & Rizzo, A. (2015).
Ecological Perspectives in HCI: Promise, Problems, and Potential. Abstract fra CHI Workshop on Ecological Perspectives in HCI, Sydkorea.
https://doi.org/10.1145/2702613.2702634
Aranha, D. F., Bennedsen, E., Campanelli, M., Ganesh, C., Orlandi, C. & Takahashi, A. (2022).
ECLIPSE: Enhanced Compiling method for Pedersen-committed zkSNARK Engines. I G. Hanaoka, J. Shikata & Y. Watanabe (red.),
Public-Key Cryptography – PKC 2022 : 25th IACR International Conference on Practice and Theory of Public-Key Cryptography (s. 584-614). Springer.
https://doi.org/10.1007/978-3-030-97121-2_21
Schivo, S., Khurana, S., Govindaraj, K., Scholma, J., Kerkhofs, J., Zhong, L., Huang, X.
, van de Pol, J., Langerak, R., van Wijnen, A. J., Geris, L., Karperien, M. & Post, J. N. (2020).
ECHO, the executable CHOndrocyte: A computational model to study articular chondrocytes in health and disease.
Cellular Signalling,
68, Artikel 109471.
https://doi.org/10.1016/j.cellsig.2019.109471
Caltais, G., Hojjat, H., Mousavi, M. R.
& Tunç, H. C. (2022).
DyNetKAT: An Algebra of Dynamic Networks. I P. Bouyer & L. Schröder (red.),
Foundations of Software Science and Computation Structures - 25th International Conference, FOSSACS 2022, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Proceedings (s. 184-204). Springer.
https://doi.org/10.1007/978-3-030-99253-8_10