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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Radaelli, L. & Jensen, C. S. (2013). Towards Fully Organic Indoor Positioning. In Proceedings of the Fifth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness (pp. 16-20). Association for Computing Machinery.

Radaelli, L., Sabonis, D., Lu, H. & Jensen, C. S. (2013). Identifying Typical Movements Among Indoor Objects: Concepts and Empirical Study. In IEEE 14th International Conference on Mobile Data Management (MDM), 2013 (Volume:1 ) (pp. 197 - 206 ). IEEE. https://doi.org/10.1109/MDM.2013.29

Radaelli, L., Moses, Y. & Jensen, C. S. (2014). Using cameras to improve Wi-Fi based indoor positioning. In D. Pfoser & K.-J. Li (Eds.), Web and Wireless Geographical Information Systems: 13th International Symposium, W2GIS 2014, Seoul, South Korea, May 29-30, 2014. Proceedings (pp. 166-183). Springer VS. https://doi.org/10.1007/978-3-642-55334-9-11

Radaelli, L. & Jensen, C. S. (2015). Towards Characterizing the Temporal Aspect of Frequent Patterns in Indoor Trajectory Data.

Radaelli, L. (2014). Enabling Indoor Location-Based Services. Department of Computer Science, Aarhus University.

Rachuri, S. R., Suresh, A. & Chaudhari, H. (2020). Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. In Proceedings 2020 Network and Distributed System Security Symposium (pp. 1-18). Internet Society. https://doi.org/10.14722/ndss.2020.23005

Rachuri, R. & Scholl, P. (2022). Le Mans: Dynamic and Fluid MPC for Dishonest Majority. In Y. Dodis & T. Shrimpton (Eds.), Advances in Cryptology – CRYPTO 2022 - 42nd Annual International Cryptology Conference, CRYPTO 2022, Proceedings (pp. 719-749). Springer. https://doi.org/10.1007/978-3-031-15802-5_25

Rachuri, S. R. (2023). Practical Multiparty Computation: Approaches to Private Machine Learning. [PhD thesis, Aarhus University].

Quercia, A., Morrison, A., Scharr, H. & Assent, I. (2023). SGD Biased towards Early Important Samples for Efficient Training. In G. Chen, L. Khan, X. Gao, M. Qiu, W. Pedrycz & X. Wu (Eds.), IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023 (pp. 1289-1294). IEEE. https://doi.org/10.1109/ICDM58522.2023.00163

Quercia, A., Yildiz, E., Cao, Z., Krajsek, K., Morrison, A., Assent, I. & Scharr, H. (2025). Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks. In Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025 (pp. 6435-6445). IEEE. https://doi.org/10.1109/WACV61041.2025.00627

Quercia, A., Nader, F., Morrison, A., Scharr, H. & Assent, I. (2025). Focal Sampling: SGD biased towards early important samples for efficient image classification with augmentation selection. Knowledge and Information Systems. Advance online publication. https://doi.org/10.1007/s10115-025-02563-7

Qu, Q., Liu, S., Yang, B. & Jensen, C. S. (2014). Integrating Non-Spatial Preferences into Spatial Location Queries. In C. S. Jensen, H. Lu, T. B. Pedersen , C. Thomsen & K. T. Torp (Eds.), SSDBM '14 Proceedings of the 26th International Conference on Scientific and Statistical Database Management Article 8 Association for Computing Machinery. https://doi.org/10.1145/2618243.2618247

Qu, Q., Liu, S., Jensen, C. S., Zhu, F. & Faloutsos, C. (2014). Interestingness-Driven Diffusion Process Summarization in Dynamic Networks. In T. Calders, F. Esposito, E. Hüllermeier & R. Meo (Eds.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II (pp. 597-613). Springer VS. https://doi.org/10.1007/978-3-662-44851-9_38

Qu, Q., Liu, S., Yang, B. & Jensen, C. S. (2014). Efficient Top-k Locality Search for Co-located Spatial Web Objects. In M. Gaber & R. Zhang (Eds.), 15th IEEE International Conference on Mobile Data Management (MDM): Proceedings (pp. 269-278 (vol.1)). IEEE Computer Society Press. https://doi.org/10.1109/MDM.2014.39

Qu, Q. (2014). Efficient Extraction of Content from Enriched Geospatial and Networked Data. Department of Computer Science, University of Aarhus.

Qian, Z., Kavvos, G. A. & Birkedal, L. (2020). Client-Server Sessions in Linear Logic. arxiv.org. https://arxiv.org/abs/2010.13926

Qian, Z., Kavvos, G. A. & Birkedal, L. (2021). Client-server sessions in linear logic. Proceedings of the ACM on Programming Languages , 5(ICFP), Article 62. https://doi.org/10.1145/3473567

Qian, Z. (2023). Concurrency And Races In Classical Linear Logic. [PhD thesis, Aarhus University]. Aarhus Universitet.

Qi, S., Sacharidis, D., Bouros, P. & Mamoulis, N. (2017). Snapshot and Continuous Points-based Trajectory Search. Geoinformatica, 21(4), 669-701. https://doi.org/10.1007/s10707-016-0267-9

Puech, M. (2013). Proofs, Upside Down. In Programming Languages and Systems: 11th Asian Symposium, APLAS 2013, Melbourne, VIC, Australia, December 9-11, 2013. Proceedings (pp. 365-380 ). Springer VS. https://doi.org/10.1007/978-3-319-03542-0_26

Prummer, F., Shereef Abdelwahab, M., Weidner, F., Abdrabou, Y. & Gellersen, H. (2025). It’s Not Always the Same Eye That Dominates: Effects of Viewing Angle, Handedness and Eye Movement in 3D. In CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems Article 748 Association for Computing Machinery. https://doi.org/10.1145/3706598.3713992

Prummer, F., Weidner, F. & Gellersen, H. (2025). All But Static: Exploring Dynamic Eye Dominance for Foveated Rendering. In Proceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025 (pp. 376-380) https://doi.org/10.1109/VRW66409.2025.00087

Prummer, F., Weidner, F. & Gellersen, H. (2025). Advancing Eye Dominance Testing: Comparing Traditional Methods with an In-HMD Approach for AR/VR Applications. In Proceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025 (pp. 112-116) https://doi.org/10.1109/VRW66409.2025.00030

Protzenko, J. & Spitters, B. (2024). Modernizing FIPS for safe languages and verified libraries. Paper presented at NIST Workshop on Formal Methods within Certification Programs (FMCP 2024), Rockville, Maryland, United States. https://www.nist.gov/system/files/documents/2024/06/11/08-ProtzenkoSpitters.pdf

Procopiuc, O., Agarwal, P. K., Arge, L. A. & Vitter, J. S. (2003). Bkd-Tree: A Dynamic Scalable kd-Tree. In Advances in Spatial and Temporal Databases: 8th International Symposium, SSTD 2003 Santorini Island, Greece, July 24-27, 2003. Proceedings (pp. 46-65). Springer. https://doi.org/10.1007/978-3-540-45072-6_4

Preti, G., Lissandrini, M., Mottin, D. & Velegrakis, Y. (2021). Mining Patterns in Graphs with Multiple Weights. Distributed and Parallel Databases, 39(2), 281-319. https://doi.org/10.1007/s10619-019-07259-w

Prentow, T. S., Blunck, H., Grønbæk, K. & Kjærgaard, M. B. (2014). Estimating Common Pedestrian Routes through Indoor Path Networks using Position Traces. In M. Gaber & R. Zhang (Eds.), 15th IEEE International Conference on Mobile Data Management: Proceedings (pp. 43-48 (vol.1)). IEEE Press. https://doi.org/10.1109/MDM.2014.11

Prentow, T. S., Blunck, H., Stisen, A., Kjærgaard, M. B. & Grønbæk, K. (2014). Accurate estimation of indoor travel times: learned unsupervised from position traces. In M. Youssef , C. Mascolo & F. Kawsar (Eds.), MOBIQUITOUS '14. Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 90-99). Association for Computing Machinery. https://doi.org/10.4108/icst.mobiquitous.2014.258020

Prentow, T. S., Ruiz-Ruiz, A., Blunck, H., Stisen, A. & Kjærgaard, M. B. (2015). Spatio-temporal Facility Utilization Analysis from Exhaustive WiFi Monitoring. Pervasive and Mobile Computing, 16(B), 305–316. https://doi.org/10.1016/j.pmcj.2014.12.006

Prentow, T. S., Thom, A., Blunck, H. & Vahrenhold, J. (2015). Making Sense of Trajectory Data in Indoor Spaces. In Proceedings of the 16th IEEE International Conference on Mobile Data Management, vol.1 (pp. 116-121). IEEE. https://doi.org/10.1109/MDM.2015.44

Prentow, T. S., Blunck, H., Kjærgaard, M. B. & Stisen, A. (2015). Towards Indoor Transportation Mode Detection using Mobile Sensing. In S. Sigg , P. Nurmi & F. Salim (Eds.), Mobile Computing, Applications, and Services : 7th International Conference, MobiCASE 2015, Berlin, Germany, November 12-13, 2015, Revised Selected Papers (Vol. 162). Springer. https://doi.org/10.1007/978-3-319-29003-4

Prentow, T. S. (2015). Spatio-Temporal Analysis of Human Activities in Indoor Environments through Mobile Sensing: With Applications in Large-Scale Hospital Service Logistics. Department of Computer Science, Aarhus University.

Poulsen, S. H., Fjord-Larsen, M., Hansen, F. A. & Christensen, B. G. (2001). Visualizing guided tours with W3D. Poster session presented at The 12th ACM Conference on Hypertext and Hypermedia, Århus, Denmark.

Poulsen, S. H., Fjord-Larsen, M., Hansen, F. A. & Christensen, B. G. (2001). Visualizing guided tours. Poster session presented at Conference on Hypertext and Hypermedia. Hypertext '01, Århus, Denmark. http://www.daimi.au.dk/~fah/papers/ht01-paper-final.pdf

Polychroniadou, A., Damgård, I. B., Garg, S., Mukherjee, P., Nielsen, J. B. & Pandey, O. (2016). On the Communication and Round Complexity of Secure Computation. Institut for Datalogi, Aarhus Universitet. http://cs.au.dk/fileadmin/user_upload/IvanFest_AP.pdf

Polychroniadou, A. (2017). On the Communication and Round Complexity of Secure Computation. Department of Computer Science, University of Aarhus.

Polli, A. M., Korn, M. & Klokmose, C. N. (2013). Local Area Artworks: Collaborative Art Interpretation On-Site. In F. Mattern & S. Santini (Eds.), Proceedings of The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '13 Adjunct (pp. 79-82). Association for Computing Machinery. https://doi.org/10.1145/2494091.2494114

Pollatos, G. G., Telelis, O. A. & Zissimopoulos, V. (2008). On the Social Cost of Distributed Selfish Content Replication. Lecture Notes in Computer Science, 195-206. https://doi.org/10.1007/978-3-540-79549-0_17

Pold, S., Bertelsen, O. W. (Ed.), Peterser, M. G. (Ed.) & Pold, S. (Ed.) (2004). Material Matters: What can HCI Learn from Aesthetics? In Aesthetic Approaches to Human-Computer Interaction (pp. 33-36). Datalogisk Institut. http://www.daimi.au.dk/publications/PB/572/PB-572.pdf

Pold, S. & Bertelsen, O. W. (2004). Criticism as an Approach to Interface Aesthetics. In Ikke angivet (pp. 23-32). Association for Computing Machinery. http://doi.acm.org/10.1145/1028014.1028018

Pold, S., Bertelsen, O. W., Koefoed Hansen, L., Andersen, C. U., Bardzell, S. & Bardzell, J. (2015). Criticism – for Computational Alternatives. In O. Bertelsen & K. Halskov (Eds.), Critical Alternatives, 5th decennial Aarhus Conference: conference proceedings, conference papers Department of Computer Science, Aarhus University. https://doi.org/10.7146/aahcc.v1i1.21621

Piras, E. M., Cabitza, F., Lewkowicz, M. & Bannon, L. (2019). Personal Health Records and Patient-Oriented Infrastructures: Building Technology, Shaping (New) Patients, and Healthcare Practitioners. Computer Supported Cooperative Work: CSCW: An International Journal, 28(6), 1001-1009. https://doi.org/10.1007/s10606-019-09364-x

Pinder, C., Vermeulen, J., Cowan, B. R. & Beale, R. (2018). Digital Behaviour Change Interventions to Break and Form Habits. ACM Transactions on Computer-Human Interaction, 25(3), 15-15:66. Article 15. https://doi.org/10.1145/3196830

Pinder, C., Vermeulen, J. & Cowan, B. R. (2018). Subliminal Semantic Number Processing on Smartphones. In L. Bailie & N. Oliver (Eds.), MobileHCI 2018 - Beyond Mobile: The Next 20 Years - 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, Conference Proceedings (pp. 24:1-24:13). Article a24 Association for Computing Machinery. https://doi.org/10.1145/3229434.3229451

Pierce, J., Strengers, Y., Sengers, P. & Bødker, S. (2013). Introduction to the Special Issue on Practice-Oriented Approaches to Sustainable HCI. ACM Transactions on Computer-Human Interaction, 20(4), Article 20. https://doi.org/10.1145/2494260

Pierce, J., Strengers, Y., Sengers, P. & Bødker, S. (Eds.) (2013). Practice-oriented approaches to Sustainable HCI: A Special Issue of ACM Transactions on Computer-Human Interaction (ACM TOCHI). ACM Transactions on Computer-Human Interaction, 20(4). http://dl.acm.org/citation.cfm?id=2509404&picked=prox&cfid=249995314&cftoken=45766466

Pientka, B., Blazy, S., Traytel, D. & Timany, A. (2024). Welcome from the Chairs. In CPP 2024 - Proceedings of the 13th ACM SIGPLAN International Conference on Certified Programs and Proofs, Co-located with: POPL 2024 (pp. iii-iv)

Picozzi, M., Verdezoto, N., Pouke, M., Vatjus-Anttila, J. & Quigley, A. (2013). Traffic Visualization: Applying Information Visualization Techniques to Enhance Traffic Planning. In GRAPP 2013 IVAPP 2013 : Proceedings of the 8thInternational Conference on Computer Graphics Theory and Applications (pp. 554-557). SCITEPRESS Digital Library. https://doi.org/10.5220/0004291605540557

Phillips, J., Verbin, E. & Zhang, Q. (2012). Lower Bounds for Number-in-Hand Multiparty Communication Complexity, Made Easy. The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings, 23, 486-501. http://delivery.acm.org.ez.statsbiblioteket.dk:2048/10.1145/2100000/2095158/p486-phillips.pdf?ip=130.225.27.190&acc=ACTIVE%20SERVICE&CFID=163115493&CFTOKEN=91446070&__acm__=1356809475_fd9644b3144bb0145788980a11fea592

Pham, T. H., Kristensen, J., Mai, S. T., Assent, I., Jacobsen, J., Vo, B. & Le, A. (2018). Interactive Exploration of Subspace Clusters on Multicore Processors. In A. Hameurlain, R. Wagner, D. Benslimane, E. Damiani & W. I. Grosky (Eds.), Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX - Special Issue on Database- and Expert-Systems Applications: Special Issue on Database- and Expert-Systems Applications (Vol. 11310, pp. 169-199). Springer VS. https://doi.org/10.1007/978-3-662-58415-6_6

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Marianne Dammand Iversen

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