Coron, J.-S.
& Nielsen, J. B. (red.) (2017).
Advances in Cryptology – EUROCRYPT 2017: 36th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Paris, France, April 30 – May 4, 2017, Proceedings, Part II. I J.-S. Coron & J. Buus Nielsen (red.),
Advances in Cryptology – EUROCRYPT 2017: 36th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Paris, France, April 30 – May 4, 2017, Proceedings, Part II (Bind 10211). Springer VS.
https://doi.org/10.1007/978-3-319-56614-6
Coron, J.-S.
& Nielsen, J. B. (red.) (2017).
Advances in Cryptology – EUROCRYPT 2017: 36th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Paris, France, April 30 – May 4, 2017, Proceedings, Part III. I J.-S. Coron & J. Buus Nielsen (red.),
Advances in Cryptology – EUROCRYPT 2017: 36th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Paris, France, April 30 – May 4, 2017, Proceedings, Part III (Bind 10212). Springer VS.
https://doi.org/10.1007/978-3-319-56617-7
Sølvsten, S. C., de Pol, J. V., Jakobsen, A. B. & Thomasen, M. W. B. (2022).
Adiar Binary Decision Diagrams in External Memory. I D. Fisman & G. Rosu (red.),
Tools and Algorithms for the Construction and Analysis of Systems - 28th International Conference, TACAS 2022, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Proceedings (s. 295-313). Springer.
https://doi.org/10.1007/978-3-030-99527-0_16
Sølvsten, S. & van de Pol, J. (2023).
Adiar 1.1: Zero-Suppressed Decision Diagrams in External Memory. I K. Y. Rozier & S. Chaudhuri (red.),
NASA Formal Methods: 15th International Symposium, NFM 2023, Houston, TX, USA, May 16–18, 2023, Proceedings (s. 464-471). Springer.
https://doi.org/10.1007/978-3-031-33170-1_28
Sølvsten, S., van de Pol, J., Jakobsen, A. B., Rysgaard, C. M., Carstensen, E. F.
& Thomasen, M. W. B. (2021).
Adiar: An I/O-efficient implementation of Decision Diagrams. Software, GitHub.
https://doi.org/10.5281/zenodo.4718218
Truica, C.-O., Apostol, E. S., Stefu, T.
& Karras, P. (2021).
A Deep Learning Architecture for Audience Interest Prediction of News Topic on Social Media. I Y. Velegrakis, D. Zeinalipour-Yazti, P. K. Chrysanthis & F. Guerra (red.),
Advances in Database Technology - EDBT 2021: 24th International Conference on Extending Database Technology, Proceedings (s. 588-599). openproceedings.org.
https://doi.org/10.5441/002/edbt.2021.69
Cascudo Pueyo, I., Damgård, I. B., David, B. M., Giacomelli, I., Nielsen, J. B. & Trifiletti, R. (2015).
Additively Homomorphic UC commitments with Optimal Amortized Overhead. I J. Katz (red.),
Public-Key Cryptography, PKC 2015: 18th IACR International Conference on Practice and Theory in Public-Key Cryptography, Gaithersburg, MD, USA, March 30-April 1, 2015, Proceedings (s. 495–515). Springer.
https://doi.org/10.1007/978-3-662-46447-2_22
Nonnemann, L.
, Hogräfer, M., Röhlig, M., Schumann, H., Urban, B.
& Schulz, H.-J. (2022).
A Data-Driven Platform for the Coordination of Independent Visual Analytics Tools.
Computers & Graphics,
106, 152-160.
https://doi.org/10.1016/j.cag.2022.05.023
Damgård, I. B. & Nielsen, J. B. (2014).
Adaptive versus static security in the UC Model. I S. S. M. Chow , J. K. Liu, L. C. K. Hui & S. M. Yiu (red.),
Provable Security: 8th International Conference, ProvSec 2014, Hong Kong, China, October 9-10, 2014. Proceedings (s. 10-28). Springer VS.
https://doi.org/10.1007/978-3-319-12475-9_2
Draganov, A., Jørgensen, J., Scheel, K., Mottin, D., Assent, I., Berry, T.
& Aslay, C. (2023).
ActUp: Analyzing and Consolidating tSNE & UMAP. I
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23) (s. 3651-3658). International Joint Conferences on Artificial Intelligence.
https://www.ijcai.org/proceedings/2023/0406.pdf
Blunck, H., Bhattacharya, S.
, Stisen, A., Prentow, T. S., Kjærgaard, M. B., Dey, A.
, Jensen, M. M. & Sonne, T. (2016).
Activity Recognition on Smart Devices: Dealing with diversity in the wild.
GetMobile: Mobile Computing and Communications,
20(1), 34-38.
https://doi.org/10.1145/2972413.2972425
Trittenbach, H., Böhm, K.
& Assent, I. (2020).
Active Learning of SVDD Hyperparameter Values. I G. Webb, Z. Zhang, V. S. Tseng, G. Williams, M. Vlachos & L. Cao (red.),
Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020 (s. 109-117). Artikel 9260103 IEEE.
https://doi.org/10.1109/DSAA49011.2020.00023
Jordan, V. E., Walker, J. A., Beckstrom, T. O., Steely, C. J., McDaniel, C. L., St Romain, C. P., The Baboon Genome Analysis Consortium, Worley, K. C., Phillips-Conroy, J., Jolly, C. J., Rogers, J., Konkel, M. K. & Batzer, M. A. (2018).
A computational reconstruction of Papio phylogeny using Alu insertion polymorphisms.
Mobile DNA,
9(1), Artikel 13.
https://doi.org/10.1186/s13100-018-0118-3
Mathisen, A., Krogh, S., Stisen, A., Blunck, H. & Grønbæk, K. (2016).
A comparative analysis of Indoor WiFi Positioning at a large building complex. I J. J. G. Domínguez, Á. H. Alonso & J. Ureña Ureña (red.),
2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 Artikel 7743666 IEEE Press.
https://doi.org/10.1109/IPIN.2016.7743666