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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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. 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. 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), Article 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. 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), Article 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. Article 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.

Truong, T. T., Airao, J., Hojati, F., Ilvig, C. F., Azarhoushang, B., Karras, P. & Aghababaei, R. (2024). Data-driven prediction of tool wear using Bayesian regularized artificial neural networks. Measurement: Journal of the International Measurement Confederation, 238, Article 115303. https://doi.org/10.1016/j.measurement.2024.115303

Truong, T. T., Airao, J., Fattahi, S., Azarhoushang, B., Karras, P. & Aghababaei, R. (2025). Image-based machine learning model for tool wear estimation in milling Inconel 718. Wear, Article 205865. Advance online publication. https://doi.org/10.1016/j.wear.2025.205865

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.), Advances in Database Technology - EDBT 2021: 24th International Conference on Extending Database Technology, Proceedings (pp. 588-599). openproceedings.org. https://doi.org/10.5441/002/edbt.2021.69

Truelsen, J. (2015). Space Efficient Data Structures and External Terrain Algorithms. Department of Computer Science, Aarhus University.

Troullinou, G., Kondylakis, H., Lissandrini, M. & Mottin, D. (2021). SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graph. In Proceedings of the 2021 International Conference on Management of Data (SIGMOD/PODS '21) (pp. 2789–2793). Association for Computing Machinery. https://doi.org/10.1145/3448016.3452765

Trittenbach, H., Böhm, K. & Assent, I. (2020). Active Learning of SVDD Hyperparameter Values. In G. Webb, Z. Zhang, V. S. Tseng, G. Williams, M. Vlachos & L. Cao (Eds.), Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020 (pp. 109-117). Article 9260103 IEEE. https://doi.org/10.1109/DSAA49011.2020.00023

Trigg, R., Bødker, S. & Grønbæk, K. (1990). A Video-based Analysis of the Cooperative Prototyping Process. In R. Hellman, M. Ruohonen & P. Sørgaard (Eds.), Proceedings of the 13th IRIS conference

Trifiletti, R., Nielsen, J. B., Frederiksen, T. K. & Jakobsen, T. P. (2016). On the Complexity of Additively Homomorphic UC Commitments. In E. Kushilevitz & T. Malkin (Eds.), Theory of Cryptography - 13th International Conference, TCC 2016-A, Proceedings (Vol. 9562, pp. 542-565). Springer VS. https://doi.org/10.1007/978-3-662-49096-9

Trifiletti, R. (2017). Amortizing Maliciously Secure Two-party Computation. Department of Computer Science, Aarhus University.

Trier, P., Noe, K. Ø., Sørensen, M. S. & Mosegaard, J. (2008). The visible ear surgery simulator. Studies in Health Technology and Informatics, 132, 523-5.

Triandopoulos, N., Papamanthou, C. & Tamassia, R. (2008). Authenticated hash tables: Proceedings of the 15th ACM Conference on Computer and communications security. In Proceedings of the 15th ACM Conference on Computer and communications security (pp. 437-448). Association for Computing Machinery. https://doi.org/10.1145/1455770.1455826

Triandopoulos, N., Goodrich, M. T. & Tamassia, R. (2008). Super-Efficient Verification of Dynamic Outsourced Databases: Topics in Cryptology - CT-RSA 2008. Lecture Notes in Computer Science, 407-424. https://doi.org/10.1007/978-3-540-79263-5

Triandopoulos, N., Goodrich, M. T., Papamanthou, C. & Tamassia, R. (2008). Athos: Efficient Authentication of Outsourced File Systems: Information Security. Lecture Notes in Computer Science, 80-96. https://doi.org/10.1007/978-3-540-85886-7_6

Triandopoulos, N., Cornelius, C., Kapadia, A., Kotz, D., Peebles, D. & Shin, M. (2008). Anonysense: privacy-aware people-centric sensing. In Proceeding of the 6th international conference on Mobile systems, applications, and services (pp. 211-224). Association for Computing Machinery. https://doi.org/10.1145/1378600.1378624

Triandopoulos, N., Kapadia, A., Cornelius, C., Peebles, D. & Kotz, D. (2008). AnonySense: Opportunistic and Privacy-Preserving Context Collection. Lecture Notes in Computer Science, 280-297. https://doi.org/10.1007/978-3-540-79576-6_17

Tozawa, K., Morita, H. & Mizuki, T. (2025). Single-shuffle card-based protocol with eight cards per gate and its extensions. Natural Computing, 24, 131-147. https://doi.org/10.1007/s11047-024-10006-5

Torp, M. T. (2021). Techniques and Tools for Supporting Maintenance of Node.js Programs. Århus Universitet.

Torgersen, M. (2002). Inheritance is Specialisation. In A. P. Black, E. Ernst, P. Grogono & M. Sakkinen (Eds.), Object-oriented Technology ECOOP 2002 Workshop Reader (Vol. 12, pp. 95-101). Springer LNCS.

Torgersen, M. & Odersky, M. (Ed.) (2004). The Expression Problem Revisited - Four New Solutions using Generics. In Proceedings of the 18th European Conference on Object-Oriented Programming (ECOOP'04) (3086 i Lecture Notes in Computer Science ed., pp. 123-146). Springer.

Torgersen, M. (2001). Unifying Abstractions. (DAIMI PhD Dissertation PD-01-2 ed.) Department of Computer Science.

Torgersen, M., Ernst, E. & Hansen, C. P. (2005). Wild FJ. In Proceedings of FOOL 12 http://homepages.inf.ed.ac.uk/wadler/fool/program/14.html

Torgersen, M., Hansen, C. P., Ernst, E., Ahé, P. V. D., Bracha, G. & Gafter, N. M. (2004). Adding Wildcards to the Java Programming Language. In Proceedings of the 2004 ACM Symposium on Applied Computing (Vol. 104042, pp. 1289-1296). Association for Computing Machinery. https://doi.org/10.1145/967900.968162

Torgersen, M., Hansen, C. P., Ernst, E., von der Ahé, P., Bracha, G. & Gafter, N. M. (2004). Adding Wildcards to the Java Programming Language. Journal of Object Technology, 3(11), 97-116. https://doi.org/10.5381/jot.2004.3.11.a5

Topping, C. J., Østergaard, S., Pertoldi, C. & Bach, L. A. (2003). Modelling the loss of genetic diversity in vole populations in a spatially and temporally varying environment. Annales Zoologici Fennici, 40(3), 255-267.

Tommasel, A., Pablos Sarabia, R. & Assent, I. (2023). Re²Dan: Retrieval of Medical Documents for e-Health in Danish. In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 (pp. 1208-1211). Association for Computing Machinery. https://doi.org/10.1145/3604915.3610655

Tommasel, A. & Assent, I. (2023). Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems. In J. He, T. Palpanas, X. Hu, A. Cuzzocrea, D. Dou, D. Slezak, W. Wang, A. Gruca, J. C.-W. Lin & R. Agrawal (Eds.), IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023 (pp. 4195-4204). IEEE. https://doi.org/10.1109/BIGDATA59044.2023.10386616

Tommasel, A. & Assent, I. (2024). Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval. In W. Ding, C.-T. Lu, F. Wang, L. Di, K. Wu, J. Huan, R. Nambiar, J. Li, F. Ilievski, R. Baeza-Yates & X. Hu (Eds.), 2024 IEEE International Conference on Big Data (BigData) (pp. 4048-4057). IEEE. https://doi.org/10.1109/BigData62323.2024.10826117, https://doi.org/10.1109/BigData62323.2024.10826117

Tomlein, M. & Grønbæk, K. (2016). Building Models of Installations to Recommend Applications in IoT Software Ecosystems. In Proceedings - 2016 IEEE 4th International Conference on Future Internet of Things and Cloud, FiCloud 2016 (pp. 9-16). Article 7575838 IEEE Press. https://doi.org/10.1109/FiCloud.2016.10

Tomlein, M. & Grønbæk, K. (2016). Semantic Model of Variability and Capabilities of IoT Applications for Embedded Software Ecosystems. In Proceedings - 2016 13th Working IEEE/IFIP Conference on Software Architecture, WICSA 2016 (pp. 247-252). Article 7516835 IEEE Press. https://doi.org/10.1109/WICSA.2016.17

Tomlein, M. (2016). Context-Aware Software Ecosystem for Industrial Products. In Proceedings - 2016 13th Working IEEE/IFIP Conference on Software Architecture, WICSA 2016 (pp. 279-280). Article 7516845 IEEE Press. https://doi.org/10.1109/WICSA.2016.53

Tomlein, M. & Grønbæk, K. (2017). A Visual Programming Approach Based on Domain Ontologies for Configuring Industrial IoT Installations. In Proceedings of the 7th International Conference on the Internet of Things, IoT 2017 Article 9 Association for Computing Machinery. https://doi.org/10.1145/3131542.3131552

Tomlein, M. (2018). Context-Aware Integrability and Maintainability of Cyber-Physical Ecosystems: Tactics and Tools. Århus Universitet.

Tomlein, M., Booveraghavan, S., Agarwal, Y. & Dey, A. (2017). CharIoT: an end-user programming environment for the IoT. Poster session presented at International Conference on the Internet of Things, Linz, Austria. https://doi.org/10.1145/3131542.3140261

Toma, L., Wickremsinghe, R., Arge, L. A., Chase, J. S., Vitter, J. S., Halpin, P. N. & Urban, D. (2001). Flow computation on massive grids. In Proceedings of the 9th ACM international symposium on Advances in geographic information systems (pp. 82-87). Association for Computing Machinery. https://doi.org/10.1145/512161.512180

Toftrup, M., Sørensen, S. A., Ciosici, M. R. & Assent, I. (2021). A reproduction of Apple's bi-directional LSTM models for language identification in short strings.

Toftrup, M. B., Loeschcke, S., Belongie, S., J. Kastoryano, M. & Snæbjanarson, V. (2024). LoQT: Low-Rank Adapters for Quantized Pretraining. https://arxiv.org/abs/2405.16528

Toftkjær, T. & Kjærgaard, M. B. (2010). The use of GPS for Handling Lack of Indoor Constraints in Particle Filter-based Inertial Positioning. Poster session presented at The 7th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2010), Sydney, Australia.

Toftkjær, T. & Kjærgaard, M. B. (2012). The impact of sensor errors and building structures on particle filter-based inertial positioning. Pervasive and Mobile Computing, 8(5), 764–776. https://doi.org/10.1016/j.pmcj.2011.07.001

Toftkjær, T. (2012). Accurate positioning of pedestrains in mixed indoor/outdoor settings : A particle filter approach to sensor and map fusion. Department of Computer Science, Aarhus University.

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Revised 17.04.2023

Marianne Dammand Iversen

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