Publications

Odgaard, M. V., Moeslund, J. E., Dalgaard, T., Bøcher, P. K. & Svenning, J-C. (2014). Human-driven topographic effects on the distribution of forest in a flat, lowland agricultural region. Journal of Geographical Sciences, 24(1), 76-92. https://doi.org/10.1007/s11442-014-1074-6

Larsen, K. G. & Pagh, R. (2012). I/O-Efficient Data Structures for Colored Range and Prefix Reporting. The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings, 23, 583-592. http://siam.omnibooksonline.com/2012SODA/index.html

Kejlberg-Rasmussen, C., Tsakalidis, K. & Tsichlas, K. (2012). I/O-Efficient Dynamic Planar Range Skyline Queries. arXiv.org. http://arxiv.org/abs/1207.2341

Kejlberg-Rasmussen, C., Tao, Y., Tsakalidis, K., Tsichlas, K. & Yoon, J. (2013). I/O-Efficient Planar Range Skyline and Attrition Priority Queues. In R. Hull & W. Fan (Eds.), Proceedings of the 32nd symposium on Principles of database systems , PODS '13 (pp. 103-114 ). Association for Computing Machinery. A C M. S I G A C T - S I G M O D - S I G A R T Symposium on Principles of Database Systems. Proceedings https://doi.org/10.1145/2463664.2465225

Arge, L. & Larsen, K. G. (2012). I/O-Efficient Spatial Data Structures for Range Queries. SIGSPATIAL Special, 4(2), 2-7. http://www.sigspatial.org/sigspatial-special-issues/SIGSPATIALSpecialVol4No2.pdf

Kejlberg-Rasmussen, C., Tao, Y., Tsakalidis, K., Tsichlas, K. & Yoon, J. (2021). I/O-efficient 2-d orthogonal range skyline and attrition priority queues. Computational Geometry: Theory and Applications, 93, [101689]. https://doi.org/10.1016/j.comgeo.2020.101689

Afshani, P., Arge, L. A. & Larsen, K. D. (2010). I/O-efficient Orthogonal Range Reporting in Three and Higher Dimensions. Abstract from Workshop on Massive Data Algorithms, Snowbird, United States.

Agarwal, P. K., Arge, L. A., Brodal, G. S. & Vitter, J. S. (1999). I/O-efficient dynamic point location in monotone planar subdivisions. In Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms (pp. 11-20). Association for Computing Machinery.

Afshani, P. & Sitchinava, N. (2014). I/O-efficient range minima queries. In R. Ravi & I. L. Gørtz (Eds.), Algorithm Theory – SWAT 2014: 14th Scandinavian Symposium and Workshops, Copenhagen, Denmark, July 2-4, 2014. Proceedings (pp. 1-12). Springer VS. Lecture Notes in Computer Science Vol. 8503 https://doi.org/10.1007/978-3-319-08404-6_1

Moeslund, J. E., Bøcher, P. K., Svenning, J-C., Møllehave, T. & Arge, L. (2009). Impacts of 21^stcentury sea-level rise on a Danish major city - an assessment based on fine-resolution digital topography and a new flooding algorithm. IOP Conference Series: Earth and Environment Science, 8(1), 012022. https://doi.org/10.1088/1755-1315/8/1/012022

Brodal, G. S. & Srinivasan, V. (2000). Improved Bounds for Dictionary Look-up with One Error. Information Processing Letters, 75(1-2), 57-59. https://doi.org/10.1016/S0020-0190(00)00079-X

Brodal, G. S., Arge, L. & Georgiadis, L. (2006). Improved Dynamic Planar Point Location. In Proceedings of the 47th Annual Symposium on Foundations of Computer Science (pp. 305-314). IEEE. https://doi.org/10.1109/FOCS.2006.40

Larsen, K. G. & Nguyen, H. L. (2012). Improved Range Searching Lower Bounds. In Proceedings of the 2012 symposuim on Computational Geometry: Chapel Hill, NC, USA — June 17 - 20, 2012 (pp. 171-178). Association for Computing Machinery. https://doi.org/10.1145/2261250.2261275

Afshani, P. (2012). Improved pointer machine and I/O lower bounds for simplex range reporting and related problems. In Proceedings of the 2012 Symposuim on Computational Geometry, SoCG (pp. 339-346 ). Association for Computing Machinery. https://doi.org/10.1145/2261250.2261301

Afshani, P. & Phillips, J. M. (2019). Independent range sampling, revisited again. In G. Barequet & Y. Wang (Eds.), 35th International Symposium on Computational Geometry, SoCG 2019 [4] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 129 https://doi.org/10.4230/LIPIcs.SoCG.2019.4

Moeslund, J. E. & Helsing, F., (2020). Indsamlingsforbud for danske dagsommerfugle, 13 p., Notat fra DCE - Nationalt Center for Miljø og Energi Vol. 2020 No. 24 https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notatet_2020/N2020_24.pdf

Madalgo, P. A., Barbay, J. & Chan, T. M. (2017). Instance-optimal geometric algorithms. Journal of the ACM, 64(1), [3]. https://doi.org/10.1145/3046673

Brodal, G. S., Greve, M., Pandey, V. & Satti, S. R. (2011). Integer Representations towards Efficient Counting in the Bit Probe Model. Lecture Notes in Computer Science, 6648, 206-217. https://doi.org/10.1007/978-3-642-20877-5_22

Brodal, G. S., Greve, M., Pandy, V. & Satti, S. R. (2014). Integer representations towards efficient counting in the bit probe model. Journal of Discrete Algorithms, 26(May), 34–44. https://doi.org/10.1016/j.jda.2013.11.001

Moeslund, J. E., Arge, L., Bøcher, P. K., Nygaard, B. & Svenning, J-C. (2009). Konsekvenser af "coastal squeezing" for plantesamfund på strandenge i Danmark.

Moeslund, J. E., (2021). Kortlægning af beskyttede dagsommerfugle ved Natura 2000-område: Bygholm Ådal, 5 p., Fagligt notat fra DCE – Nationalt Center for Miljø og Energi Vol. 2021 No. 22 https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notater_2021/N2021_22.pdf

Moeslund, J. E., Zlinszky, A., Ejrnæs, R., Brunbjerg, A. K., Bøcher, P. K., Svenning, J. C. & Normand, S. (2019). Light detection and ranging explains diversity of plants, fungi, lichens, and bryophytes across multiple habitats and large geographic extent. Ecological Applications, 29(5), [e01907]. https://doi.org/10.1002/eap.1907

Chan, T. M., Durocher, S., Skala, M. & Wilkinson, B. T. (2012). Linear-Space Data Structures for Range Minority Query in Arrays.

Chan, T. M., Durocher, S., Skala, M. & Wilkinson, B. T. (2015). Linear-Space Data Structures for Range Minority Query in Arrays. Algorithmica, 72(4), 901-913. https://doi.org/10.1007/s00453-014-9881-9

Chan, T. M., Durocher, S., Larsen, K. G., Morrison, J. & Wilkinson, B. T. (2012). Linear-Space Data Structures for Range Mode Query in Arrays. Leibniz International Proceedings in Informatics, 14, 290-301. https://doi.org/10.4230/LIPIcs.STACS.2012.290

Chan, T. M., Durocher, S., Larsen, K. G., Morrison, J. & Wilkinson, B. T. (2014). Linear-Space Data Structures for Range Mode Query in Arrays. Theory of Computing Systems, 55(4), 719-741. https://doi.org/10.1007/s00224-013-9455-2

Afshani, P., Iacono, J., Jayapaul, V., Karsin, B. & Sitchinava , N. (2022). Locality-of-Reference Optimality of Cache-Oblivious Algorithms. In 3rd Symposium on Algorithmic Principles of Computer Systems, (APOCS) (pp. 31 - 45). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611977059.3

Brodal, G. S., Fagerberg, R. & Farach-Colton, M. (Ed.) (2003). Lower Bounds for External Memory Dictionaries. In Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms (pp. 546-554). Society for Industrial and Applied Mathematics.

Larsen, K. G., Simkin, M. & Yeo, K. (2020). Lower Bounds for Multi-server Oblivious RAMs. In R. Pass & K. Pietrzak (Eds.), Theory of Cryptography (pp. 486-503). Springer. Lecture Notes in Computer Science Vol. 12550 https://doi.org/10.1007/978-3-030-64375-1_17

Jacob, R., Larsen, K. G. & Nielsen, J. B. (2019). Lower Bounds for Oblivious Data Structures. In T. M. Chan (Ed.), Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 2439-2447). Society for Industrial and Applied Mathematics. Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms Vol. PRDA19 https://doi.org/10.1137/1.9781611975482.149

Larsen, K. G., Malkin, T., Weinstein, O. & Yeo, K. (2020). Lower Bounds for Oblivious Near-Neighbor Search. In S. Chawla (Ed.), SODA '20: Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 1116-1134). Society for Industrial and Applied Mathematics. https://doi.org/10.5555/3381089.3381157

Afshani, P. & Zeh, N. (2012). Lower Bounds for Sorted Geometric Queries in the I/O Model. Lecture Notes in Computer Science, 7501, 48-59 . https://doi.org/10.1007/978-3-642-33090-2_6

Farhadi, A., Hajiaghayi, M. T., Larsen, K. G. & Shi, E. (2019). Lower bounds for external memory integer sorting via network coding. In M. Charikar & E. Cohen (Eds.), STOC 2019 - Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing (pp. 997-1008). Association for Computing Machinery. A C M Symposium on the Theory of Computing. Annual Proceedings https://doi.org/10.1145/3313276.3316337

Afshani, P., Freksen, C. B., Kamma, L. & Larsen, K. G. (2019). Lower bounds for multiplication via network coding. Leibniz International Proceedings in Informatics, LIPIcs, 132, [10]. https://doi.org/10.4230/LIPIcs.ICALP.2019.10

Afshani, P. & Cheng, P. (2021). Lower bounds for semialgebraic range searching and stabbing problems. In K. Buchin & E. C. de Verdiere (Eds.), 37th International Symposium on Computational Geometry, SoCG 2021 [8] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 189 https://doi.org/10.4230/LIPIcs.SoCG.2021.8

Moeslund, J. E., Ejrnæs, R. & Wind, P. (2015). Manual til rødlistevurdering af danske arter 2013-2019. Aarhus Universitet, DCE – Nationalt Center for Miljø og Energi ©. Teknisk rapport fra DCE - Nationalt Center for Miljø og Energi No. 54

Moeslund, J. E., Nygaard, B. & Ejrnæs, R. (2020). Manual til rødlistevurdering af danske arter 2020-2030. Aarhus Universitet, DCE - Nationalt Center for Miljø og Energi. Teknisk rapport No. 188 https://dce2.au.dk/pub/tr188.pdf

Večeřa, M., Axmanova, I., Padullés Cubino, J., Lososová, Z., Divíšek, J., Knollová, I., Aćić, S., Biurrun, I., Boch, S., Bonari, G., Antonio Campos, J., Čarni, A., Carranza, M. L., Casella, L., Chiarucci, A., Ćušterevska, R., Pauline, D., Dengler, J., Fernandez-Gonzalez, F. ... Chytrý, M. (2021). Mapping species richness of plant families in European vegetation. Journal of Vegetation Science, 32(3), [e13035]. https://doi.org/10.1111/jvs.13035

Grønlund, A., Kamma, L., Larsen, K. G., Mathiasen, A. & Nelson, J. (2019). Margin-Based Generalization Lower Bounds for Boosted Classifiers. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox & R. Garnett (Eds.), Advances in Neural Information Processing Systems 32 (NIPS 2019) Neural Information Processing Systems Foundation. https://arxiv.org/abs/1909.12518

Grønlund, A., Kamma, L. & Larsen, K. G. (2020). Margins are Insufficient for Explaining Gradient Boosting. In H. Larochelle, MA. Ranzato, R. Hadsell, M-F. Balcan & H-T. Lin (Eds.), Advances in Neural Information Processing Systems 33 (NeurIPS 2020) https://proceedings.neurips.cc/paper/2020/hash/146f7dd4c91bc9d80cf4458ad6d6cd1b-Abstract.html

Caspersen, M. E., Bennedsen, J. & Larsen, K. D. (2007). Mental Models and Programming Aptitude. S I G C S E Bulletin Inroads, 39(3), 206-210. https://doi.org/10.1145/1269900.1268845

Larsen, K. G. (2013). Models and Techniques for Proving Data Structure Lower Bounds. Department of Computer Science, Aarhus University.

Alamdari, S., Angelini, P., Chan, T. M., Di Battista, G., Frati, F., Lubiw, A., Patrignani, M., Roselli, V., Singla, S. & Wilkinson, B. T. (2013). Morphing Planar Graph Drawings with a Polynomial Number of Steps. The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings, 24, 1656-1667. http://knowledgecenter.siam.org/0236-000137/0236-000137/1

Brunbjerg, A. K., Bruun, H. H., Dalby, L., Classen, A. T., Fløjgaard, C., Frøslev, T. G., Hansen, O. L. P., Høye, T. T., Moeslund, J. E., Svenning, J-C. & Ejrnæs, R. (2020). Multi-taxon inventory reveals highly consistent biodiversity responses to ecospace variation. Oikos, 129(9), 1381-1392. https://doi.org/10.1111/oik.07145

Brunbjerg, A. K., Bladt, J., Moeslund, J. E. & Ejrnæs, R. (2015). Naturen på kort - nye værktøjer målretter indsatsen for truede arter. Aktuel Naturvidenskab, (3), 12-15.

Larsen, K. G. & Walderveen, F. V. (2013). Near-Optimal Range Reporting Structures for Categorical. In Proceedings of the 24th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2013 (pp. 265-276). Association for Computing Machinery. The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings http://knowledgecenter.siam.org/0236-000081/~~PdfSource/0

Grønlund, A., Kamma, L. & Larsen, K. G. (2020). Near-Tight Margin-Based Generalization Bounds for Support Vector Machines. In H. Daumé III & A. Singh (Eds.), International Conference on Machine Learning (pp. 3779-3788). MLResearch Press. Proceedings of Machine Learning Research Vol. 119 http://proceedings.mlr.press/v119/gronlund20a.html

Jones, M., Moeslund, J. E., Alexander, C., Bøcher, P. K. & Svenning, J-C. (2013). Near-ground temperature variability and its predictability in Denmark. Poster session presented at Biodiversitetssymposium 2013, København, Denmark.

Alstrup, S., Bistrup Halvorsen, E. & Larsen, K. G. (2014). Near-optimal labeling schemes for nearest common ancestors. In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 972-982). Association for Computing Machinery. http://www.scopus.com/inward/record.url?scp=84902108771&partnerID=8YFLogxK

Axmanova, I., Kalusová, V., Danihelka, J., Dengler, J., Pergl, J., Pysek, P., Večeřa, M., Attorre, F., Biurrun, I., Boch, S., Conradi, T., Gavilán, R. G., Jimenez-Alfaro, B., Knollová, I., Kuzemko, A., Lenoir, J., Medvecká, J., Moeslund, J. E., Obratov-Petković, D. ... Chytrý, M. (2021). Neophyte invasions in European grasslands. Journal of Vegetation Science, 32(2), [e12994]. https://doi.org/10.1111/jvs.12994

Displaying results 151 to 200 out of 335

Revised 26.09.2022

Department of Computer Science

Publications

Kasper Green Larsen

Peyman Afshani

Gerth Stølting Brodal

Chris Schwiegelshohn

Publications

Head of research

Kasper Green Larsen

Faculty

Peyman Afshani

Gerth Stølting Brodal

Chris Schwiegelshohn