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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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Munro, J. I., Navarro, G., Nielsen, J. S., Shah, R. & Thankachan, S. V. (2017). Top-k Term-Proximity in Succinct Space. Algorithmica, 78(2), 379-393. https://doi.org/10.1007/s00453-016-0167-2
Munro, J. I., Navarro, G., Nielsen, J. A. S. & ShaH, R. (2014). Top- k Term-Proximity in Succinct Space. In H.-K. Ahn & C.-S. Shin (Eds.), Algorithms and Computation: 25th International Symposium, ISAAC 2014, Proceedings (pp. 169-180 ). Springer VS. https://doi.org/10.1007/978-3-319-13075-0_14
Skovsgaard, A. & Jensen, C. S. (2014). Top-k point of interest retrieval using standard indexes. In Y. Huang & M. Schneider (Eds.), Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL '14 (pp. 173-182 ). Association for Computing Machinery. https://doi.org/10.1145/2666310.2666399
Andersen, C. J., Hansen, K. M., Sandvad, E. S., Thomsen, M. & Tyrsted, M. (2000). Tool Support for Iterative System Development Activities: Issues and Experiences. In K. A. Mughal, A. L. Opdahl & D. I. K. Sjøberg (Eds.), Proceedings of NWPER'2000: Nordic Workshop on Programming Environment Research http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.4642
Jørgensen, J. B., Christensen, S., Tuovinen, A.-P. & Xu, J. (2006). Tool Support for Estimating the Memory Usage of Mobile Phone Software. Software Tools for Technology Transfer.
Cornils, A. & Hedin, G. (2000). Tool Support for Design Patterns based on Reference Attribute Grammars. In Proceedings of WAGA'00, Third Workshop on Attribute Grammars and their Applications
Damm, C. H., Hansen, K. M. & Thomsen, M. (2000). Tool support for cooperative object-oriented design: gesture based modelling on an electric whiteboard. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 518-525). Association for Computing Machinery. https://doi.org/10.1145/332040.332488
Hansen, K. M. & Ratzer, A. V. (2002). Tool Support for Collaborative Teaching and Learning of Object-Oriented Modelling. In Proceedings of the 7th annual conference on Innovation and technology in computer science education (pp. 146-150). Association for Computing Machinery. https://doi.org/10.1145/544414.544458
Feldthaus, A., Millstein, T., Møller, A., Schäfer, M. & Tip, F. (2011). Tool-supported Refactoring for JavaScript. In Proceedings of the 2011 ACM international conference on Object oriented programming systems languages and applications (pp. 119-138). Association for Computing Machinery. https://doi.org/10.1145/2048066.2048078
Bouvin, N. O., Brodersen, A. C., Hansen, F. A., Iversen, O. S. & Nørregaard, P. (2005). Tools of Contextualization: Extending the Classroom to the Field. In Proceedings of the 2005 conference on Interaction design and children (pp. 24-31). Association for Computing Machinery. https://doi.org/10.1145/1109540.1109544
Grønbæk, K. & Knudsen, J. L. (1992). Tools and Techniques for Experimental System Development. In K. Systä, P. Kellomäki & R. Mäkinen (Eds.), Proceedings of the Nordic Workshop on Programming Environment Research
Bertelsen, O. W., Breinbjerg, M. & Pold, S. (2008). Tool – Material, Metaphor – Metonymy, Instrument(ness). In J. J. Jensen (Ed.), Proceedings of the Eighth Danish Human-Computer Interaction Research Symposium (pp. 5-9). Aalborg Universitetsforlag.
Damm, C. H., Hansen, K. M., Thomsen, M. & Tyrsted, M. (2000). Tool Integration: Experiences and Issues in Using XMI and Component Technology. In Proceedings of the Technology of Object-Oriented Languages and Systems Conference (pp. 94-107). IEEE Computer Society Press. https://doi.org/10.1109/TOOLS.2000.848754
Christensen, P. K., Skovgaard, C. Ø. & Petersen, M. G. (2019). Together together: Combining shared and separate activities in designing technology for family life. In Proceedings of the 18th ACM International Conference on Interaction Design and Children, IDC 2019 (pp. 374-385). Association for Computing Machinery. https://doi.org/10.1145/3311927.3323141
Schmidt, E. M., Skyum, S. & Nielsen, M. (2012). To Dexter - A Tribute from Aarhus. In R. L. Constable & A. Silva (Eds.), Logic and Program Semantics : Essays Dedicated to Dexter Kozen on the Occasion of His 60th Birthday (pp. 341). Springer. https://doi.org/10.1007/978-3-642-29485-3_30
Nasir, M. A. U., Aslay, C., de Francisi Morales, G. & Riondato, M. (2021). TipTap: Approximate Mining of Frequent k-Subgraph Patterns in Evolving Graphs. ACM Transactions on Knowledge Discovery from Data, 15(3), 1-35. Article 48. https://doi.org/10.1145/3442590
Döttling, N. M., Ghosh, S., Nielsen, J. B., Nilges, T. & Trifiletti, R. (2017). TinyOLE: Efficient Actively Secure Two-Party Computation from Oblivious Linear Function Evaluation. In CCS 2017 - Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security: CCS '17 (pp. 2263-2276). Association for Computing Machinery. https://doi.org/10.1145/3133956.3134024
Hazay, C., Orsini, E., Scholl, P. & Soria-Vazquez, E. (2018). TinyKeys: A New Approach to Efficient Multi-Party Computation. In H. Shacham & A. Boldyreva (Eds.), Advances in Cryptology – CRYPTO 2018 - 38th Annual International Cryptology Conference, 2018, Proceedings (Vol. 10993, pp. 3-33). Springer VS. https://doi.org/10.1007/978-3-319-96878-0_1
Hansen, M. T. & Kusy, B. (2011). TinyInventor: A Holistic Approach to Sensor Network Application Development. Paper presented at Extending the Internet to Low power and Lossy Networks. IP+SN 2011 , Chicago, IL, United States.
Pagter, J. I. (2001). Time-Space Trade-Offs. (BRICS Dissertation Series DS-01-2 ed.) Aarhus University.
Agarwal, P. K., Arge, L. A. & Vahrenhold, J. (2001). Time Responsive External Data Structures for Moving Points. In F. Dehne, J.-R. Sack & R. Tamassia (Eds.), Algorithms and Data Structures: 7th International Workshop, WADS 2001 Providence, RI, USA, August 8-10, 2001 Proceedings (pp. 50-61). Springer. https://doi.org/10.1007/3-540-44634-6_6
Nyborg, J. C., Pelletier, C., Lefevre, S. & Assent, I. (2022). TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation. ISPRS Journal of Photogrammetry and Remote Sensing, 188, 301-313. https://doi.org/10.1016/j.isprsjprs.2022.04.018
Larsen, K. G., Nelson, J. & Nguyen, H. L. (2015). Time Lower Bounds for Nonadaptive Turnstile Streaming Algorithms. In R. Servedio & R. Rubinfeld (Eds.), Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, STOC '15 (pp. 803-812). Association for Computing Machinery. https://doi.org/10.1145/2746539.2746542
Bohøj, M. (2009). Timelines as a Collaborative Planning Tool. D A I M I P B, (591), 6-9.
Bohøj, M., Borchorst, N. G., Bouvin, N. O., Bødker, S. & Zander, P.-O. (2010). Timeline Collaboration. In Proceedings of the 28th International Conference on Human factors in computing Systems. CHI '10 (pp. 523-532). Association for Computing Machinery. https://doi.org/10.1145/1753326.1753404
Kjærgaard, M. B., Blunck, H., Wüstenberg, M., Grønbæk, K., Wirz, M., Roggen, D. & Tröster, G. (2013). Time-lag Method for Detecting Following and Leadership Behavior of Pedestrians from Mobile Sensing Data. In IEEE International Conference on Pervasive Computing and Communications (PerCom), 2013 (pp. 56 - 64 ). IEEE. https://doi.org/10.1109/PerCom.2013.6526714
Brodal, G. S. & Jacob, R. (2001). Time-dependent Networks as Models to Achieve Fast Exact Time-table Queries. Electronic Colloquium on Computational Complexity, 92(ALCOMFT-TR-01-176).
Hune, T. & Nielsen, M. (1998). Timed bisimulation and open maps. In L. Brim, J. Gruska & J. Zlatuska (Eds.), Mathematical Foundations of Computer Science 1998: 23rd International Symposium, MFCS'98 Brno, Czech Republic, August 24-28, 1998 Proceedings (pp. 378-387). Springer. https://doi.org/10.1007/BFb0055787
Alstrup, S., Brodal, G. S., Gørtz, I. L. & Rauhe, T. (2001). Time and Space Efficient Multi-Method Dispatching. Electronic Colloquium on Computational Complexity, (ITU-TR-2001-8).
Alstrup, S., Brodal, G. S., Gørtz, I. L. & Rauhe, T. (2002). Time and Space Efficient Multi-Method Dispatching. In M. Penttonen & E. M. Schmidt (Eds.), Algorithm Theory — SWAT 2002: 8th Scandinavian Workshop on Algorithm Theory Turku, Finland, July 3–5, 2002 Proceedings (pp. 20-29). Springer. https://doi.org/10.1007/3-540-45471-3_3
Petersen, M. G. (2002). Time and Learning in HCI. In E. Frøkjær & K. Hornbæk (Eds.), Proceedings of the 2nd Danish Human-Computer Interaction Research Symposium (pp. 42-45). University of Copenhagen.
Chrobak, M., Dürr, C., Guíñez, F., Lozano, A. & Thang, N. K. (2010). Tile-Packing Tomography Is NP-hard. Lecture Notes in Computer Science, 6196, 254-263. https://doi.org/10.1007/978-3-642-14031-0_29
Bulánek, J., Koucky, M. & Saks, M. (2012). Tight lower bounds for the online labeling problem. In Proceedings of the 2012 ACM Symposium on Theory of Computing, STOC’12 (pp. 1185-1198). Association for Computing Machinery. https://doi.org/10.1145/2213977.2214083
Chakraborty, D., Kamma, L. & Larsen, K. G. (2018). Tight cell probe bounds for succinct boolean matrix-Vector multiplication. In STOC 2018 - Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing (pp. 1297-1306). Association for Computing Machinery. https://doi.org/10.1145/3188745.3188830
Gál, A., Hansen, K. A., Koucký, M., Pudlák, P. & Viola, E. (2011). Tight bounds on computing error-correcting codes by bounded-depth circuits with arbitrary gates. Electronic Colloquium on Computational Complexity, 18(150). http://eccc.hpi-web.de/report/2011/150/
Gál , A., Hansen, K. A., Koucký, M., Pudlák, P. & Viola, E. (2012). Tight bounds on computing error-correcting codes by bounded-depth circuits with arbitrary gates. In H. Karloff & T. Pitassi (Eds.), STOC '12 Proceedings of the 44th symposium on Theory of Computing (pp. 479-494). Association for Computing Machinery. https://doi.org/10.1145/2213977.2214023
David P., W. & Zhang, Q. (2012). Tight Bounds for Distributed Functional Monitoring. In Proceedings of the 2012 ACM Symposium on Theory of Computing, STOC’12 (pp. 941-960). Association for Computing Machinery. https://doi.org/10.1145/2213977.2214063