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

Sort by: Date | Author | Title

Van Goethem, A., Staals, F., Löffler, M., Dykes, J. & Speckmann, B. (2017). Multi-Granular Trend Detection for Time-Series Analysis. IEEE Transactions on Visualization and Computer Graphics, 23(1), 661-670. [7536203]. https://doi.org/10.1109/TVCG.2016.2598619

Van Goethem, A., Van Kreveld, M., Löffler, M., Speckmann, B. & Staals, F. (2016). Grouping time-varying data for interactive exploration. In S. Fekete & A. Lubiw (Eds.), 32nd International Symposium on Computational Geometry, SoCG 2016 (Vol. 51, pp. 61.1-61.16). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics Vol. 51 https://doi.org/10.4230/LIPIcs.SoCG.2016.61

Van Der Berg, F. I. & Van De Pol, J. (2019). Concurrent chaining hash maps for software model checking. In C. Barrett & J. Yang (Eds.), Proceedings of the 19th Conference on Formal Methods in Computer-Aided Design, FMCAD 2019 (pp. 46-54). [8894279] IEEE. https://doi.org/10.23919/FMCAD.2019.8894279

Van Bergerem, S., Grohe, M. & Ritzert, M. (2022). On the Parameterized Complexity of Learning First-Order Logic. In PODS 2022 - Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (pp. 337-346). Association for Computing Machinery. https://doi.org/10.1145/3517804.3524151

Valsted, F. M., Nielsen, C. V. H., Jensen, J. Q., Sonne, T. & Jensen, M. M. (2017). Strive: Exploring Assistive Haptic Feedback on the Run. In M. Brereton, D. Vyas, A. Soro, B. Ploderer, J. Waycott & A. Morrison (Eds.), Proceedings of the 29th Australian Computer-Human Interaction Conference: Human-Nature, OzCHI 2017 (pp. 275-284). Association for Computing Machinery. OZCHI '17 https://doi.org/10.1145/3152771.3152801

Valiant, L. G., Skyum, S., Berkowitz, S. & Rackoff, C. (1983). Fast Parallel Computation of Polynomials Using Few Processors. S I A M Journal on Computing, 12(4), 641-644. https://doi.org/10.1137/0212043

Valiant, L. & Skyum, S. (1981). Fast parallel computation of polynomials using few processors. In J. Gruska & M. Chytil (Eds.), Mathematical Foundations of Computer Science 1981: Proceedings, 10th Symposium Štrbské Pleso, Czechoslovakia August 31 – September 4, 1981 (pp. 132-139). Springer. Lecture Notes in Computer Science Vol. 118 https://doi.org/10.1007/3-540-10856-4_79

Valencia, R., Condit, R., Foster, R. B., Romoleroux, K., Munoz, G. V., Svenning, J-C., Magård, E., Bass, M., Losos, E. C., Balslev, H., Losos, E. C. (Ed.) & Leigh, E. G. . J. (Ed.) (2004). Yasuní forest dynamic plot, Ecuador. In Tropical forest diversity and dynamism: Findings from a large-scale plot network (pp. 609-620)

Valencia, R., Foster, R. B., Villa, G., Condit, R., Svenning, J-C., Hernandez, C., Romoleroux, K., Losos, E., Magård, E. & Balslev, H. (2004). Tree species distributions and local habitat variation in the Amazon: large forest plot in eastern Ecuador. Journal of Ecology, 92, 214-229.

Ursem, R. K., Filipic, B. & Krink, T. (2002). Exploring the Performance of an Evolutionary Algorithm for Greenhouse Control. Journal of Computing and Information Technology, 10(3), 195-201.

Ursem, R. K., Krink, T., Fogel, D. B. (Ed.), Yao, X. (Ed.), Greenwood, G. (Ed.), Iba, H. (Ed.), Marrow, P. (Ed.) & Shackleton, M. (Ed.) (2002). Genetic Programming with Smooth Operators for Arithmetic Expressions: Diviplication and Subdition. In Proceedings of the Evolutionary on Computation 2002.: CEC'02 (Vol. 2, pp. 1372-1377). IEEE Computer Society Press.

Ursem, R. K., Krink, T. & Filipic, B. (2002). A Numerical Simulator for a Crop-Producing Greenhouse. EVALife Technical Report, (2002-01).

Ursem, R. K., Krink, T., Jensen, M. T. & Michalewicz, Z. (2002). Analysis and Modeling of Control Tasks in Dynamic Systems. I E E E Transactions on Evolutionary Computation, 6(4), 378-389.

Ursem, R. K. & Justesen, P. (2010). The Multi-Objective Distinct Candidates Optimization approach. In B. Filipic & J. Silc (Eds.), Proceedings of the 4th International Conference on Bioinspired Optimization Methods and their Applications (BIOMA 2010) (pp. 55-66). Ljublana: Jozef Stefan Institute.

Uribe, S. A., Beerbaum, P., Rasmusson, A., Sørensen, T. S., Razavi, R. & Schaeffter, T. (2008). 4D Flow of the Whole Heart and Great Vessels at 3T Using Real Time Self Respiratory Gating. In Proceedings of the 16th Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine: Vascular Hemodynamics. Computer 2. 2832 (Vol. DVD). ISMRM.

Uribe, S., Beerbaum, P., Sørensen, T. S., Rasmusson, A., Razavi, R. & Schaeffter, T. (2009). 4D Flow of the Whole Heart and Great Vessels Using a Real Time Self Respiratory Gating Technique. Poster session presented at Annual SCMR Scientific Sessions, Orlando, Florida, United States. https://doi.org/10.1186/1532-429X-11-S1-P3

Uribe, S., Beerbaum, P., Sørensen, T. S., Rasmusson, A., Razavi, R. & Schaeffter, T. (2009). Four-dimensional (4D) flow of the whole heart and great vessels using real-time respiratory self-gating. Magnetic Resonance in Medicine, 62(4), 984-992. https://doi.org/10.1002/mrm.22090

Urazimbetova, S. (2012). A Case Study - On Patient Empowerment and Integration of Telemedicine to National Healthcare Services. Paper presented at International Conference on Health Informatics, Vilamoura, Algarve, Portugal. https://doi.org/10.5220/0003870902630269

Urazimbetova, S. (2011). Patient and Care Network can Improve Interoperability of Telemedicine. D A I M I P B, (594), 51-54.

Urazimbetova, S. & Kyng, M. (2012). Bridging the Patient Empowerment Gap of National Healthcare Services with Quick Response Code. Global Telemedicine and eHealth Updates : Knowledge Resources, 5, 444-448. http://www.medetel.lu/download/2012/Med-e-Tel_2012_Global_Telemedicine_and_eHealth_Updates_Volume_5_Contents.pdf

Urazimbetova, S. & Kyng, M. (2013). From Many to One: Analysis of Information Models for Patient Centric Telemedicine. Global Telemedicine and eHealth Updates : Knowledge Resources, 6, 7-12. http://www.medetel.eu/download/2013/parallel_sessions/presentation/day3/From_Many_to_One.pdf

Ungar, D. & Ernst, E. (2007). Point/Counterpoint. I E E E Software, 24(5), 72-75. https://doi.org/10.1109/MS.2007.142

Türkmen, R., Pfeuffer, K., Barrera MacHuca, M. D., Batmaz, A. U. & Gellersen, H. (2022). Exploring Discrete Drawing Guides to Assist Users in Accurate Mid-air Sketching in VR. In CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems [276] Association for Computing Machinery. Conference on Human Factors in Computing Systems - Proceedings https://doi.org/10.1145/3491101.3519737

Tzoumas, K., Deshpande, A. & Jensen, C. S. (2010). Sharing-aware horizontal partitioning for exploiting correlations during query processing. Proceedings of the VLDB Endowment, 3(1-2), 542-553. http://portal.acm.org/citation.cfm?id=1920911&CFID=7605094&CFTOKEN=94044110

Tzoumas, K., Deshpande, A. & Jensen, C. S. (2011). Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions. Proceedings of the VLDB Endowment, 4(11), 852-863. http://www.vldb.org/pvldb/vol4/p852-tzoumas.pdf

Tzoumas, K., Deshpande, A. & Jensen, C. S. (2013). Efficiently adapting graphical models for selectivity estimation. V L D B Journal, 22(1), 3-27. https://doi.org/10.1007/s00778-012-0293-7

Tziavelis, N., Giannakopoulos, I., Doka, K., Koziris, N. & Karras, P. (2019). Equitable Stable Matchings in Quadratic Time. 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): Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019 (pp. 455-465). Curran Associates, Inc.. https://papers.nips.cc/paper/8337-equitable-stable-matchings-in-quadratic-time

Tzavelis, N., Giannakopoulos, I., Johansen, R. Q., Doka, K., Koziris, N. & Karras, P. (2020). Fair Procedures for Fair Stable Marriage Outcomes. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 34, no. 5, pp. 7269-7276). AAAI Press. https://doi.org/10.1609/aaai.v34i05.6218

Tu, S., Aslay, C. & Gionis, A. (2020). Co-exposure maximization in online social networks. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan & H. Lin (Eds.), Advances in Neural Information Processing Systems: NeurIPS 2020 (Vol. 33). Neural Information Processing Systems Foundation. https://proceedings.neurips.cc/paper/2020/hash/212ab20dbdf4191cbcdcf015511783f4-Abstract.html

Tsourakakis, C. E., Mitzenmacher, M., Larsen, K. G., Blasiok, J., Lawson, B., Nakkiran, P. & Nakos, V. (2018). Predicting Positive and Negative Links with Noisy Queries: Theory Practice. arXiv.org. http://arxiv.org/abs/1709.07308

Tsitsulin, A., Mottin, D., Karras, P., Bronstein, A. & Müller, E. (2018). NetLSD: Hearing the Shape of a Graph. In Y. Guo & F. Farooq (Eds.), 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 2347-2356). Association for Computing Machinery. https://doi.org/10.1145/3219819.3219991

Tsitsulin, A., Mottin, D., Karras, P. & Müller, E. (2018). VERSE: Versatile Graph Embeddings from Similarity Measures. In P-A. Champin, F. Gandon & L. Médini (Eds.), Proceedings of the 2018 World Wide Web Conference: WWW '18 (pp. 539-548). Association for Computing Machinery. https://doi.org/10.1145/3178876.3186120

Tsitsulin, A., Mottin, D., Karras, P., Bronstein, A. & Müller, E. (2019). Spectral graph complexity. In L. Liu & R. White (Eds.), The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019 (pp. 308-309). Association for Computing Machinery. https://doi.org/10.1145/3308560.3316589

Tsitsulin, A., Munkhoeva, M., Mottin, D., Karras, P., Bronstein, A., Oseledets, I. & Müller, E. (2020). The Shape of Data: Intrinsic Distance for Data Distributions. Paper presented at The International Conference on Learning Representations (ICLR), Ababa, Ethiopia.

Tsitsulin, A., Munkhoeva, M., Mottin, D., Karras, P., Oseledets, I. & Mueller, E. (2021). FREDE: Anytime Graph Embeddings. Proceedings of the VLDB Endowment, 14(6), 1102-1110. https://doi.org/10.14778/3447689.3447713

Tsirogiannis, K. & de Berg, M. (2011). Exact and approximate computations of watersheds on triangulated terrains. In Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 74-83). Association for Computing Machinery. https://doi.org/10.1145/2093973.2093985

Tsirogiannis, K. & Haverkort, H. (2011). Flow on noisy terrains: an experimental evaluation. In Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 84-91). Association for Computing Machinery. https://doi.org/10.1145/2093973.2093986

Tsirogiannis, C., Sandel, B. S. & Cheliotis, D. (2012). Efficient Computation of Popular Phylogenetic Tree Measures. Lecture Notes in Computer Science, 7534, 30-43. https://doi.org/10.1007/978-3-642-33122-0_3

Tsirogiannis, C. & Sandel, B. S. (2013). Computing the Skewness of the Phylogenetic Mean Pairwise Distance in Linear Time. In A. Darling & J. Stoye (Eds.), Algorithms in Bioinformatics: 13th International Workshop, WABI 2013, Sophia Antipolis, France, September 2-4, 2013. Proceedings (pp. 170-184). Springer VS. Lecture Notes in Computer Science Vol. 8126 https://doi.org/10.1007/978-3-642-40453-5_14

Tsirogiannis, C., Sandel, B. S. & Kalvisa, A. (2014). New Algorithms for Computing Phylogenetic Biodiversity. In D. Brown & B. Morgenstern (Eds.), Algorithms in Bioinformatics: 14th International Workshop, WABI 2014, Wroclaw, Poland, September 8-10, 2014. Proceedings (pp. 187-203). Springer VS. Lecture Notes in Computer Science Vol. 8701 https://doi.org/10.1007/978-3-662-44753-6_15

Tsirogiannis, C. & Sandel, B. S. (2014). Computing the Skewness of the Phylogenetic Mean Pairwise Distance in Linear Time. Algorithms for Molecular Biology, 9(1), [15]. https://doi.org/10.1186/1748-7188-9-15

Tsirogiannis, C. & Tsirogiannis, C. (2016). Uncovering the Hidden Routes: Algorithms for Identifying Paths and Missing Links in Trade Networks . In T. Brughmans, A. Collar & F. Coward (Eds.), The Connected Past: Challenges to Network Studies in Archaeology and History Oxford University Press.

Tsirogiannis, C. & Sandel, B. S. (2016). PhyloMeasures: A package for computing phylogenetic biodiversity measures and their statistical moments. Ecography, 39(7), 709-714. https://doi.org/10.1111/ecog.01814

Tsirogiannis, C. & Sandel, B. (2016). Fast phylogenetic biodiversity computations under a non-uniform random distribution. In M. Singh (Ed.), Research in Computational Molecular Biology - 20th Annual Conference, RECOMB 2016, Proceedings (Vol. 9649, pp. 225-236). Springer VS. Lecture Notes in Computer Science Vol. 9649 https://doi.org/10.1007/978-3-319-31957-5_16

Tsirogiannis, C. & Sandel, B. (2016). Fast computations for measures of phylogenetic beta diversity. P L o S One, 11(4), [0151167]. https://doi.org/10.1371/journal.pone.0151167

Tsirogiannis, C., Staals, F. & Pellissier, V. (2018). Computing the expected value and variance of geometric measures. ACM Journal of Experimental Algorithmics, 23(1), 2.4:1-2.4:32. [2.4]. https://doi.org/10.1145/3228331

Tsigaridas, E. (2011). Improved bounds for continued fractions variants for real root isolation. Paper presented at 4th Internatinal Conference on Mathematical Aspects of Computer Information, Beijing, China.

Tsakalidis, K. (2011). Dynamic Data Structures: Orthogonal Range Queries and Update Efficiency. Department of Computer Science, Aarhus University.

Truică, C. O., Apostol, E. S., Darmont, J. & Assent, I. (2021). TextBenDS: a Generic Textual Data Benchmark for Distributed Systems. Information Systems Frontiers, 23(1), 81-100. https://doi.org/10.1007/s10796-020-09999-y

Truica, C-O., Apostol, E. S., Stefu, T. & Karras, P. (2021). A Deep Learning Architecture for Audience Interest Prediction of News Topic on Social Media. In Y. Velegrakis, D. Zeinalipour-Yazti, P. K. Chrysanthis & F. Guerra (Eds.), Proceedings of the 24th International Conference on Extending Database Technology, EDBT 2021, Nicosia, Cyprus, March 23 - 26, 2021 (pp. 588-599). openproceedings.org. https://doi.org/10.5441/002/edbt.2021.69

Displaying results 251 to 300 out of 5127

Revised 17.04.2023

Marianne Dammand Iversen

Publications

Search for publications at Department of Computer Science

Search for publications at Aarhus University