Publications

Search for publications at Department of Computer Science

Below you find a complete list of publications published and edited by scientists at the Department of Computer Science

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Li, X., Ceikute, V., Jensen, C. S. & Tan, K.-L. (2013). Effective Online Group Discovery in Trajectory Databases. I E E E Transactions on Knowledge & Data Engineering, 25(12), 2752 - 2766 . https://doi.org/10.1109/TKDE.2012.193

Li, X., Ceikute, V., Jensen, C. S. & Tan, K.-L. (2013). Trajectory Based Optimal Segment Computation in Road Network Databases. (1303.2310v1 ed.) arxiv.org. http://arxiv.org/abs/1303.2310

Li, X., Ceikute, V., Jensen, C. S. & Tan, K.-L. (2013). Trajectory Based Optimal Segment Computation in Road Network Databases. In C. Knoblock & M. Schneider (Eds.), Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL'13 (pp. 396-399 ). Association for Computing Machinery. https://doi.org/10.1145/2525314.2525444

Li, Y., Li, X., Sandel, B., Blank, D., Liu, Z., Liu, X. & Yan, S. (2016). Climate and topography explain range sizes of terrestrial vertebrates. Nature Climate Change, 6(5), 498-502. https://doi.org/10.1038/nclimate2895

Li, Y., Tan, T., Møller, A. & Smaragdakis, Y. (2018). Precision-Guided Context Sensitivity for Pointer Analysis. Proceedings of the ACM on Programming Languages , 2(OOPSLA), 141:1-141:29. Article 141. https://doi.org/10.1145/3276511

Li, Y., Tan, T., Møller, A. & Smaragdakis, Y. (2018). Scalability-First Pointer Analysis with Self-Tuning Context-Sensitivity. In G. T. Leavens, A. Garcia & C. S. Păsăreanu (Eds.), ESEC/FSE 2018 - Proceedings of the 2018 26th ACM Joint Meeting on European So ftware Engineering Conference and Symposium on the Foundations of So ftware Engineering (pp. 129-140). Association for Computing Machinery. https://doi.org/10.1145/3236024.3236041

Li, Y., Fan, J., Ovchinnikov, G. & Karras, P. (2019). Maximizing multifaceted network influence. In Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019 (pp. 446-457). Article 8731520 IEEE. https://doi.org/10.1109/ICDE.2019.00047

Li, Y., Tan, T. & Xue, J. (2019). Understanding and analyzing Java reflection. ACM Transactions on Software Engineering and Methodology, 28(2), Article 7. https://doi.org/10.1145/3295739

Li, Y., Tan, T., Møller, A. & Smaragdakis, Y. (2020). A Principled Approach to Selective Context Sensitivity for Pointer Analysis. ACM Transactions on Programming Languages and Systems, 42(2), Article 10. https://doi.org/10.1145/3381915

Lewkowicz, M., Bødker, S., Boden, A. & Fedosov, A. (2021). Technical Design and Development of Future Platforms.

Leppälä, J., Bechsgaard, J. S., Schierup, M. H. & Savolainen, O. (2007). Transmission ratio distortion in Arabidopsis lyrata: effects of population divergence and the S-locus. Heredity, 100(1), 71-8. https://doi.org/10.1038/sj.hdy.6801066

Leppälä, K., Nielsen, S. & Mailund, T. (2017). admixturegraph: an R package for admixture graph manipulation and fitting. Bioinformatics (Online), 33(11), 1738-1740. https://doi.org/10.1093/bioinformatics/btx048

Lemelson, H., Kjærgaard, M. B., Hansen, R. & King, T. (2009). Error Estimation for Indoor 802.11 Location Fingerprinting. Lecture Notes in Computer Science, 138-155. https://doi.org/10.1007/978-3-642-01721-6_9

Leiva, G., Grønbæk, J. E., Klokmose, C. N., Nguyen, C., Kazi, R. H. & Asente, P. (2021). Rapido: Prototyping Interactive AR Experiences through Programming by Demonstration. In UIST 2021 - Proceedings of the 34th Annual ACM Symposium on User Interface Software and Technology (pp. 626-637). Association for Computing Machinery. https://doi.org/10.1145/3472749.3474774

Lehmann, A. & Gross, A. (2016). Effect of GPS errors on Emission model. Paper presented at Global Wireless Summit 2016, Aarhus, Denmark.

Lehmann, A. & Gross, A. (2016). Using Crowd Sensed Data as Input to Congestion Model. In 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016: The Third International Workshop on Crowd Assisted Sensing Pervasive Systems and Communications Article 7457105 IEEE Press. https://doi.org/10.1109/PERCOMW.2016.7457105

Lehmann, A. & Gross, A. (2017). Towards vehicle emission estimation from smartphone sensors. In Proceedings - 18th IEEE International Conference on Mobile Data Management, MDM 2017 (pp. 154-163). Article 7962447 IEEE Press. https://doi.org/10.1109/MDM.2017.29

Lehmann, A. (2017). Modelling Emission of Pollutants from transportation using mobile sensing data: Advancing modelling of street level pollution and climate forcing gas emissions. Århus Universitet.

Legoupil, M., Rousseau, J., Georges, A. L., Pichon-Pharabod, J. & Birkedal, L. (2024). Iris-MSWasm: Elucidating and Mechanising the Security Invariants of Memory-Safe WebAssembly. Proceedings of the ACM on Programming Languages , 8(OOPSLA2), Article 282. https://doi.org/10.1145/3689722

Legaard, L., Thomsen, J. R., Lorentzen, C. H. & Techen, J. P. (2016). Exploring SCI as Means of Interaction through the Design Case of Vacuum Cleaning. In M. Broekhuijsen (Ed.), TEI 2016 - Proceedings of the 10th Anniversary Conference on Tangible Embedded and Embodied Interaction (pp. 488-493). Association for Computing Machinery. https://doi.org/10.1145/2839462.2856540

Lee, J. (2004). Reverse Code Generation for Java Program Model Checking. Paper presented at 6th school on MOdeling and VErifying parallel Processes (MOVEP '04), Bruxelles, Belgium.

Lee, J., Deng, X. & Bogor, R. (2006). A k-Bounded Symbolic Execution for Checking Strong Heap Properties of Open Systems. In Proceedings of Conference on Automated Software Engineering: ASE'06 (pp. 157-166). IEEE Computer Society Press.

Lee, J. (2007). Dynamic Reverse Code Generation for Backward Execution. Electronic Notes in Theoretical Computer Science, 174(4), 37-54. https://doi.org/10.1016/j.entcs.2006.12.028

Lee, J. (2007). A Case for Dynamic Reverse-code Generation. B R I C S Report Series, (RS-07-15).

Lee, L.-K., Lewenstein, M. & Zhang, Q. (2012). Parikh Matching in the Streaming Model. Lecture Notes in Computer Science, 7608, 336-341. https://doi.org/10.1007/978-3-642-34109-0_35

Lee, B., Deng, Q., Hoggan, E. & Oulasvirta, A. (2017). Boxer: a multimodal collision technique for virtual objects. In E. Lank & A. Vinciarelli (Eds.), ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction (pp. 252-260). Association for Computing Machinery. https://doi.org/10.1145/3136755.3136761

Lee, H. S., Weidner, F., Sidenmark, L. & Gellersen, H. (2024). Snap, Pursuit and Gain: Virtual Reality Viewport Control by Gaze. In F. F. Mueller, P. Kyburz, J. R. Williamson, C. Sas, M. L. Wilson, P. T. Dugas & I. Shklovski (Eds.), CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems Association for Computing Machinery. https://doi.org/10.1145/3613904.3642838

Lee, J. (2007). Program Validation by Symbolic and Reverse Execution.

Ledo, D., Houben, S., Vermeulen, J., Marquardt, N., Oehlberg, L. & Greenberg, S. (2018). Evaluation Strategies for HCI Toolkit Research. In R. Mandryk & M. Hancock (Eds.), CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (pp. 36:1-36:17). Association for Computing Machinery. https://doi.org/10.1145/3173574.3173610

Ledo, D., Vermeulen, J., Carpendale, S., Greenberg, S., Oehlberg, L. & Boring, S. (2019). Astral: prototyping mobile and smart object interactive behaviours using familiar applications. In DIS 2019 - Proceedings of the 2019 ACM Designing Interactive Systems Conference (pp. 711-724). Association for Computing Machinery. https://doi.org/10.1145/3322276.3322329

Le, T., Dietz, F., Pfeuffer, K. & Alt, F. (2022). A Practical Method to Eye-Tracking on the Phone: Toolkit, Accuracy and Precision. In T. Doring, S. Boll, A. Colley, A. Esteves & J. Guerreiro (Eds.), Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia (pp. 182-188). Association for Computing Machinery. https://doi.org/10.1145/3568444.3568463

LaVigne, R., Liu-Zhang, C.-D., Maurer, U. M., Moran, T., Mularczyk, M. & Tschudi, D. (2018). Topology-Hiding Computation Beyond Semi-Honest Adversaries. In A. Beimel & S. Dziembowski (Eds.), Theory of Cryptography - 16th International Conference, TCC 2018, Proceedings: Theory of Cryptography (Vol. 11240, pp. 3-35). Springer VS. https://doi.org/10.1007/978-3-030-03810-6_1

Lautrup, B., Møller-Nielsen, P. & Olesen, P. (1965). Comparison of Forward Dispersion Relations with Experiments around 10 GeV. Physical Review - Index, 140(B4), 984-989. https://doi.org/10.1103/PhysRev.140.B984

Laursen, M. R., Xu, W. & Møller, A. (2024). Reducing Static Analysis Unsoundness with Approximate Interpretation. Proceedings of the ACM on Programming Languages , 8, 1165-1188. https://doi.org/10.1145/3656424

Lassen, K. B. & van der Aalst, W. M. P. (2007). WorkflowNet2BPEL4WS: A Tool for Translating Unstructured Workflow Processes to Readable BPEL. In On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE (4275 of Lecture Notes in Computer Science ed., pp. 127-144). Springer.

Lassen, K. B. (2006). Translating BPEL to FLOWer. (pp. 1-24). Aarhus Universitetsforlag.

Lassen, K. B. & Westergaard, M. (2006). Embedding Java Types in CPN Tools: Technical Report. http://www.daimi.au.dk/~krell/download.php?file=Embedding Java Types in CPN Tools.pdf.

Lassen, K. B. (2007). Converting Workflow Nets to BPEL 1.1 in ProM: This is a conversion plugin for the process mining framework ProM.. Computer programme .

Lassen, K. B. (2006). Progress Report: From Real World Problems to Implementation Using Coloured Petri Nets and Translations Between Workflow Languages. Datalogisk Institut, Aarhus Universitet.

Lassen, K. B., van Dongen, B. & van der Aalst, W. M. P. (2007). Translating Message Sequence Charts to other Process Languages using Process Mining. (207 ed.) (pp. 1-15). Eindhoven Technical University.

Lassen, K. B. & van Dongen, B. F. (2008). Translating Message Sequence Charts to other Process Languages using Process. Lecture Notes in Computer Science, 5100, 71-85. https://doi.org/10.1007/978-3-540-89287-8_5

Lassen, K. B. & Tjell, S. (2007). Translating Colored Control Flow Nets into Readable Java via Annotated Java Workflow Nets. In K. Jensen (Ed.), Proceedings of the Eighth Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools (8 ed., pp. 127-146)

Lassen, K. B. & van der Aalst, W. M. P. (2009). Complexity Metrics for Workflow Nets. Information and Software Technology, 51(3), 610-626.

Lassen, K. B. (2008). Using Formal Behavioral Modelsin Software Development:From Real-World Problems to Software Systems. Aarhus Universitetsforlag.

Larsen-Ledet, I. (2018). Privacy in Collaborative Work: A Situated Challenge. 1. Abstract from 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, Canada.

Larsen-Ledet, I., Bressa, N. A. & Vermeulen, J. (2019). Reflections on Teaching a Mandatory HCI Course to Computer Science Undergraduates. Paper presented at The 2019 EduCHI Symposium on HCI Teaching and Learning, Glasgow, United Kingdom. https://educhi2019.hcilivingcurriculum.org/wp-content/uploads/2019/04/p09-Reflections-on-Teaching-a-Mandatory-HCI-Course-to-Computer-Science-Undergraduates.pdf

Larsen-Ledet, I. (2020). Understanding and Supporting Collaborative Academic Writing as a Fragmented Process. Paper presented at The ECSCW 2019 Doctoral Colloquium, Salzburg, Austria. https://doi.org/10.18420/ecscw2019_dc6

Larsen-Ledet, I. & Korsgaard, H. (2019). Territorial Functioning in Collaborative Writing: Fragmented Exchanges and Common Outcomes. Computer Supported Cooperative Work, 28(3-4), 391-433. https://doi.org/10.1007/s10606-019-09359-8

Larsen-Ledet, I., Korsgaard, H. & Bødker, S. (2020). Collaborative Writing Across Multiple Artifact Ecologies. In CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems Article 3376422 Association for Computing Machinery. https://doi.org/10.1145/3313831.3376422

Larsen-Ledet, I. & Borowski, M. (2020). "It Looks Like You Don't Agree": Idiosyncratic Needs and Practices in Collaborative Writing. In N. Ahmadpour, T. Leong, B. Ploderer, C. Parker, S. Webber, D. Munoz, L. Loke & M. Tomitsch (Eds.), OzCHI '20: 32nd Australian Conference on Human-Computer Interaction (pp. 339-354). Association for Computing Machinery. https://doi.org/10.1145/3441000.3441032

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Revised 17.04.2023

Marianne Dammand Iversen

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