Publikationer

Søg publikationer fra Institut for Datalogi

Liste over publikationer af videnskabelige medarbejdere fra Institut for Datalogi, Aarhus Universitet.

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Sonne, T. (2017). Assistive Technologies to Empower Children with ADHD: Conceptual Framework and Technological Solutions. Aarhus Universitet.

Søndergaard, E., Gormsen, L. C., Nellemann, B., Vestergaard, E. T., Christiansen, J. S. & Nielsen, S. (2009). Visceral fat mass is a strong predictor of circulating ghrelin levels in premenopausal women. European Journal of Endocrinology, 160(3), 375-9. https://doi.org/10.1530/EJE-08-0735

Søndergaard, D., Knudsen, M. & Pedersen, C. N. S. (2014). Machine learning approaches to functional prediction of P-Type ATPases.

Søndergaard, D. A., Knudsen, M. & Pedersen, C. S. (2016). Computational Classification of P-Type ATPases. Methods in Molecular Biology, 1377, 493-502. https://doi.org/10.1007/978-1-4939-3179-8

Søndergaard, D. & Pedersen, C. N. S. (2015). PATBox: A Toolbox for Classification and Analysis of P-Type ATPases. PLoS One, 10(9), Artikel e0139571. https://doi.org/10.1371/journal.pone.0139571

Son, W. & Afshani, P. (2015). Streaming Algorithms for Smallest Intersecting Ball of Disjoint Balls. I R. Jain, S. Jain & F. Stephan (red.), Theory and Applications of Models of Computation: 12th Annual Conference, TAMC 2015, Singapore, May 18-20, 2015, Proceedings (s. 189-199 ). Springer VS. https://doi.org/10.1007/978-3-319-17142-5

Son, W., Bae, S. W. & Ahn, H. K. (2015). Group nearest neighbor queries in the L1 plane. Theoretical Computer Science, 592, 39–48. https://doi.org/10.1016/j.tcs.2015.05.011

Son, M. T., Amer-Yahia, S., Assent, I., Birk, M., Storgaard Dieu, M., Jacobsen, J. & Kristensen, J. (2019). Scalable Interactive Dynamic Graph Clustering on Multicore CPUs. IEEE Transactions on Knowledge and Data Engineering, 31(7), 1239-1252. Artikel 8340880. https://doi.org/10.1109/TKDE.2018.2828086

Sølvsten, S., van de Pol, J., Jakobsen, A. B. & Thomasen, M. W. B. (2021). Efficient Binary Decision Diagram Manipulation in External Memory. ArXiv. https://doi.org/10.48550/arXiv.2104.12101

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

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. (2023). Predicting Memory Demands of BDD Operations using Maximum Graph Cuts. I É. André & J. Sun (red.), Automated technology for verification and analysis: Part II (s. 72-92). Springer. https://doi.org/10.1007/978-3-031-45332-8_4

Sølvsten, S., Rysgaard, C. M. & van de Pol, J. (2025). Random Access on Narrow Decision Diagrams in External Memory. I T. Neele & A. Wijs (red.), Model Checking Software: 30th International Symposium, SPIN 2024, Luxembourg City, Luxembourg, April 8–9, 2024, Proceedings (s. 137–145). Springer. https://doi.org/10.1007/978-3-031-66149-5_7

Sølvsten, S. & van de Pol, J. (2024). Multi-variable Quantification of BDDs in External Memory using Nested Sweeping. ArXiv. https://doi.org/10.48550/arXiv.2408.14216

Sølvsten, S. & van de Pol, J. (2025). Symbolic Model Checking in External Memory. ArXiv. https://doi.org/10.48550/arXiv.2505.11229

Sølvsten, S. C. (2025). I/O-efficient Symbolic Model Checking. [Ph.d.-afhandling, Aarhus Universitet].

Soden, R., Ribes, D., Jack, M., Sutherland, W., Khovanskaya, V., Avle, S., Sengers, P. & Bødker, S. (2019). Fostering Historical Research in CSCW & HCI. I CSCW 2019 Companion - Conference Companion Publication of the 2019 Computer Supported Cooperative Work and Social Computing (s. 517-521). Association for Computing Machinery. https://doi.org/10.1145/3311957.3359436

Snow, S., Vyas, D., Lyle, P., Mallett, M. & Brereton, M. (2016). Building Connections: Technology Design for Living on a Low Income. I A. M. Kanstrup, J. Vines, L. Huybrechts, R. C. Smith, K. Bodker & C. Bossen (red.), PDC 2016: Proceedings of the 14th Participatory Design Conference: Short Papers, Interactive Exhibitions, Workshops - Volume 2 (s. 1-4). Association for Computing Machinery. https://doi.org/10.1145/2948076.2948091

Skyum, S., Frandsen, G. S., Miltersen, P. B. & Binderup, P. G. (1999). The Complexity of Identifying Large Equivalence Classes. Fundamenta Informaticae, 38(1-2), 25-37. https://doi.org/10.3233/FI-1999-381203

Skyum, S. (1974). On extensions of ALGOL-like languages. Information and control, 26(1), 82-97. https://doi.org/10.1016/S0019-9958(74)90732-3

Skyum, S. (1974). Nonterminals and codings in defining variations of OL-systems. I G. Rozenberg & A. Salomaa (red.), L Systems (s. 244-249). Springer. https://doi.org/10.1007/3-540-06867-8_19

Skyum, S. (1974). Parallel context-free languages. Information and control, 26(3), 280-285. https://doi.org/10.1016/S0019-9958(74)91399-0

Skyum, S. (1975). Confusion in the Garden of Eden. Proceedings of the American Mathematical Society, 50, 332-336.

Skyum, S. (1976). Decomposition Theorems for Various Kinds of Languages Parallel in Nature. S I A M Journal on Computing, 5(3), 284-296. https://doi.org/10.1137/0205022

Skyum, S. (1978). On good ETOL forms. Theoretical Computer Science, 7(3), 263-272. https://doi.org/10.1016/0304-3975(78)90017-8

Skyum, S. (1983). A measure in which Boolean negation is exponentially powerful. Information Processing Letters, 17(3), 125-128. https://doi.org/10.1016/0020-0190(83)90051-0

Skyum, S. & Valiant, L. (1985). A complexity theory based on Boolean algebra. Journal of the ACM, 32(2), 484-502. https://doi.org/10.1145/3149.3158

Skyum, S. & Eriksen, O. (1986). Symmetric Distributed Termination. I G. Rozenberg & A. Salomaa (red.), The Book of L (s. 427-430). Springer.

Skyum, S. (1987). A Distributed Election and Spanning Tree Algorithm Based on Depth First Search Traversals. Department of Computer Science, Aarhus University. Daimi Report Series (DAIMI PB) Nr. 232

Skyum, S. (1991). A simple algorithm for computing the smallest enclosing circle. Information Processing Letters, 37(3), 121-125. https://doi.org/10.1016/0020-0190(91)90030-L

Skyum, S. (1991). A Sweepline Algorithm for Generalized Delaunay Triangulations. Department of Computer Science, Aarhus University. Daimi Report Series (DAIMI PB) Nr. 373

Skyum, S. (1975). On decomposing languages defined by parallel devices. I STOC '75 Proceedings of seventh annual ACM symposium on Theory of computing (s. 121-125). Association for Computing Machinery. https://doi.org/10.1145/800116.803760

Skyum, S. (1975). Decomposition of Languages. Afhandling præsenteret på Conference on Formal Languages, Automata and Development, Noordwijkerhout, Holland.

Skyum, S. & Valiant, L. (1981). A complexity theory based on Boolean algebra. I 22nd Annual Symposium on Foundations of Computer Science, 1981. SFCS '81. (s. 244-253). IEEE Computer Society Press. https://doi.org/10.1109/SFCS.1981.3

Skyum, S. (1988). A Distributed Election and Spanning Tree Algorithm Based on Depth First Search. Afhandling præsenteret på Symposium on Mathematics of Computation. ICOMIDC, Ho Chi Minh City, Vietnam.

Skyum, S. (1992). A Sweepline Algorithm for Generalized Delaunay Triangulations and a Simple Method for Nearest-Neighbour Search. I Proceedings of the Workshop on Computational Geometry Universiteit Utrecht.

Skyum, S., Larsen, K. G. & Winskel, G. (red.) (1998). Automata, Languages and Programming. Springer. Lecture Notes in Computer Science Bind 1443 https://doi.org/10.1007/BFb0055035

Skovsgaard, A., Sidlauskas, D. & Jensen, C. S. (2014). Scalable Top-k Spatio-Temporal Term Querying. ICDE, 148-159. https://doi.org/10.1109/ICDE.2014.6816647

Skovsgaard, A. & Jensen, C. S. (2015). Finding Top-k Relevant Groups of Spatial Web Objects. V L D B Journal, 24(4), 537-555. https://doi.org/10.1007/s00778-015-0388-z

Skovsgaard, A., Sidlauskas, D. & Jensen, C. S. (2014). A Clustering Approach to the Discovery of Points of Interest from Geo-Tagged Microblog Posts. I J. E. Guerrero (red.), 15th IEEE International Conference on Mobile Data Management (MDM), 2014 : Proceedings (s. 178-189 (vol. 1)). IEEE Computer Society Press. https://doi.org/10.1109/MDM.2014.28

Skovsgaard, A. & Jensen, C. S. (2014). Top-k point of interest retrieval using standard indexes. I Y. Huang & M. Schneider (red.), Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL '14 (s. 173-182 ). Association for Computing Machinery. https://doi.org/10.1145/2666310.2666399

Skovsgaard, A. & Jensen, C. S. (2015). Scalable Spatio-Textual Region Querying in Key-Value Stores. Afhandling præsenteret på ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Dallas, USA. http://sigspatial2014.sigspatial.org/

Skovsgaard, A. (2014). Indexing, Query Processing, and Clustering of Spatio-Temporal Text Objects. Department of Computer Science, Aarhus University.

Skovgaard, C., Thomsen, J. R., Verdezoto, N. & Vestergaard, D. (2015). DogPulse: Augmenting the Coordination of Dog Walking through an Ambient Awareness System at Home. I S. Nanayakkara & E. Y.-L. Do (red.), AH '15, Proceedings of the 6th Augmented Human International Conference: SIGCHI ACM. (s. 41-44). Association for Computing Machinery. https://doi.org/10.1145/2735711.2735825

Skovenborg, E. (2005). Perceptual Features of Music and Speech - Measured by Listening Experiments, and Computer Modelled from Signal Analysis.

Skov, L. (2017). Methods for analyzing genetic variation in modern and archaic humans.

Skoulakis, S., Feng, Y., Fujii, K., Cevher, V. & Wang, X. (2025). Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games. I Proceedings of the 42nd International Conference on Machine Learning (Bind 267, s. 16670-16710)

Skoulakis, S., Muller, A., Viano, L., Cevher, V. & Scheider, J. (Accepteret/In press). Best of Both Worlds: Regret Minimization versus Minimax Play.

Skorstensgaard, L., Devriese, D. & Birkedal, L. (2021). StkTokens: Enforcing well-bracketed control flow and stack encapsulation using linear capabilities. Journal of Functional Programming, 31, Artikel e9. https://doi.org/10.1017/S095679682100006X

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Søg publikationer fra Institut for Datalogi

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