Publikationer

Søg publikationer fra Institut for Datalogi

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

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Rasmussen, T. A. (2021). Supporting Tailorability and Awareness for Remote Assistance in Large Industrial Task Spaces. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Raskin, M. & Mamardashvili, N. A. (2016). Accessing Local Variables During Debugging. I ELS2016 Proceedings of the 9th European Lisp Symposium on European Lisp Symposium (s. 93 - 94). Artikel 11 European Lisp Scientific Activities Association. http://delivery.acm.org/10.1145/3010000/3005740/d4.pdf?ip=185.45.22.55&id=3005740&acc=ACTIVE%20SERVICE&key=36332CD97FA87885%2E318148A04E30A4A4%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&CFID=719857644&CFTOKEN=37932629&__acm__=1485177648_adba167cd6af203cbafc7ca2c5484dbf

Raskin, M. (2017). A linear lower bound for incrementing a space-optimal integer representation in the bit-probe model. I I. Chatzigiannakis, P. Indyk, F. Kuhn & A. Muscholl (red.), 44th International Colloquium on Automata, Languages, and Programming, ICALP 2017 (Bind 80, s. 88:1--88:12). Artikel 88 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ICALP.2017.88

Raskin, M. & Simkin, M. (2019). Perfectly Secure Oblivious RAM with Sublinear Bandwidth Overhead. I S. D. Galbraith & S. Moriai (red.), Advances in Cryptology – ASIACRYPT 2019 - 25th International Conference on the Theory and Application of Cryptology and Information Security, Proceedings: 25th International Conference on the Theory and Application of Cryptology and Information Security Kobe, Japan, December 8–12, 2019 Proceedings (Bind II, s. 537-563). Springer. https://doi.org/10.1007/978-3-030-34621-8_19

Rasch, S. M., Ledderer, L. K., Christensen, M. & Kyng, M. (2017). Digital Decision Aids – A participatory design approach. Abstract fra Metric Culture, Aarhus, Danmark.

Rao, X., Georges, A. L., Legoupil, M., Watt, C., Pichon-Pharabod, J., Gardner, P. & Birkedal, L. (2023). Iris-Wasm: Robust and Modular Verification of WebAssembly Programs. Proceedings of the ACM on Programming Languages , 7, Artikel 151. https://doi.org/10.1145/3591265

Ranellucci, S. & Zakarias, R. W. (2014). Efficient Generic Zero-knowledge Proofs from Commitments. https://eprint.iacr.org/2014/934.pdf

Ranellucci, S., Tapp, A. & Zakarias, R. (2016). Efficient generic zero-knowledge proofs from commitments. I A. C. A. Nascimento & P. Barreto (red.), Information Theoretic Security - 9th International Conference, ICITS 2016, Revised Selected Papers (Bind 10015, s. 190-212). Springer VS. https://doi.org/10.1007/978-3-319-49175-2_10

Ramirez Gomez, A. & Gellersen, H. (2020). More than Looking: Using Eye Movements Behind the Eyelids as a New Game Mechanic. I CHI PLAY '20: Proceedings of the Annual Symposium on Computer-Human Interaction in Play (s. 362-373). Association for Computing Machinery. https://doi.org/10.1145/3410404.3414240

Ramirez Gomez, A., Clarke, C., Sidenmark, L. & Gellersen, H. (2021). Gaze+Hold: Eyes-Only Direct Manipulation with Continuous Gaze Modulated by Closure of One Eye. I Proceedings - ETRA 2021: ACM Symposium on Eye Tracking Research and Applications, Full Papers Proceedings (s. 1-12). Artikel 10 Association for Computing Machinery. https://doi.org/10.1145/3448017.3457381

Rakotonirina, I., Ambrona, M., Aguirre, A. & Barthe, G. (2022). Symbolic Synthesis of Indifferentiability Attacks. I ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security (s. 667-681). Association for Computing Machinery. https://doi.org/10.1145/3488932.3497759

Rafner, J., Hjorth, A., Weidner, C., Ahmed, S. Z., Poulsen, C., Klokmose, C. & Sherson, J. (2021). ArguNotes: Collaborative Problem Solving and Argumentation Tool. I C. E. Hmelo-Silver, B. De Wever & J. Oshima (red.), 14th International Conference on Computer-Supported Collaborative Learning: Reflecting the Past and Embracing the Future, CSCL 2021 - Proceedings, part of the 1st Annual Meeting of the International Society of the Learning Sciences, ISLS 2021 (s. 257-258). International Society of the Learning Sciences (ISLS).

Radel, D., Sand, A. & Steel, M. (2013). Hide and seek: placing and finding an optimal tree for thousands of homoplasy-rich sequences. Molecular Phylogenetics and Evolution, 69(3), 1186–1189. https://doi.org/10.1016/j.ympev.2013.08.001

Radaelli, L. & Jensen, C. S. (2013). Towards Fully Organic Indoor Positioning. I Proceedings of the Fifth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness (s. 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. I IEEE 14th International Conference on Mobile Data Management (MDM), 2013 (Volume:1 ) (s. 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. I D. Pfoser & K.-J. Li (red.), Web and Wireless Geographical Information Systems: 13th International Symposium, W2GIS 2014, Seoul, South Korea, May 29-30, 2014. Proceedings (s. 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. I Proceedings 2020 Network and Distributed System Security Symposium (s. 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. I Y. Dodis & T. Shrimpton (red.), Advances in Cryptology – CRYPTO 2022 - 42nd Annual International Cryptology Conference, CRYPTO 2022, Proceedings (s. 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. [Ph.d.-afhandling, Aarhus Universitet].

Quercia, A., Morrison, A., Scharr, H. & Assent, I. (2023). SGD Biased towards Early Important Samples for Efficient Training. I G. Chen, L. Khan, X. Gao, M. Qiu, W. Pedrycz & X. Wu (red.), IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023 (s. 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. I Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025 (s. 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, 67(11), 11161-11191. 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. I C. S. Jensen, H. Lu, T. B. Pedersen , C. Thomsen & K. T. Torp (red.), SSDBM '14 Proceedings of the 26th International Conference on Scientific and Statistical Database Management Artikel 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. I T. Calders, F. Esposito, E. Hüllermeier & R. Meo (red.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II (s. 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. I M. Gaber & R. Zhang (red.), 15th IEEE International Conference on Mobile Data Management (MDM): Proceedings (s. 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), Artikel 62. https://doi.org/10.1145/3473567

Qian, Z. (2023). Concurrency And Races In Classical Linear Logic. [Ph.d.-afhandling, Aarhus Universitet]. 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

Purchase, H. C., Hoggan, E. & Goerg, C. (2007). How important is the "mental map"? - An empirical investigation of a dynamic graph layout algorithm. I M. Kaufmann & D. Wagner (red.), GRAPH DRAWING (s. 184-+). Springer Verlag.

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

Pryor, S. C., Barthelmie, R. J., Jensen, B., Jensen, N. O. & Sørensen, L. L. (2003). Erratum: HNO₃ fluxes to a deciduous forest derived using gradient and REA methods (Atmospheric Environment (2002) 36 (5993-5999) PII: S1352231002007653). Atmospheric Environment, 37(5), 731. https://doi.org/10.1016/S1352-2310(02)00959-7

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. I CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems Artikel 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. I Proceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025 (s. 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. I Proceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025 (s. 112-116) https://doi.org/10.1109/VRW66409.2025.00030

Protzenko, J. & Spitters, B. (2024). Modernizing FIPS for safe languages and verified libraries. Afhandling præsenteret på NIST Workshop on Formal Methods within Certification Programs (FMCP 2024), Rockville, Maryland, USA. 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. I Advances in Spatial and Temporal Databases: 8th International Symposium, SSTD 2003 Santorini Island, Greece, July 24-27, 2003. Proceedings (s. 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. I M. Gaber & R. Zhang (red.), 15th IEEE International Conference on Mobile Data Management: Proceedings (s. 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. I M. Youssef , C. Mascolo & F. Kawsar (red.), MOBIQUITOUS '14. Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (s. 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. I Proceedings of the 16th IEEE International Conference on Mobile Data Management, vol.1 (s. 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. I S. Sigg , P. Nurmi & F. Salim (red.), Mobile Computing, Applications, and Services : 7th International Conference, MobiCASE 2015, Berlin, Germany, November 12-13, 2015, Revised Selected Papers (Bind 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 præsenteret på The 12th ACM Conference on Hypertext and Hypermedia, Århus, Danmark.

Poulsen, S. H., Fjord-Larsen, M., Hansen, F. A. & Christensen, B. G. (2001). Visualizing guided tours. Poster-session præsenteret på Conference on Hypertext and Hypermedia. Hypertext '01, Århus, Danmark. 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

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