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Publications

Alongside the list of publications from members of DATALAB, some of our publications contain freely available code used for analyses that can be accessed from our DATALAB Github page.  

In some instances, data used in our research projects are personal and sensitive in nature or dependent upon data-access agreements with social media platforms. In these instances, extensive records and aggregated data are placed in the appendices or supplementary material of the publication and/or can be accessed in restricted ways as described in the publications.


Recent Publications


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Tylén, K., Philipsen, J. S., Østergaard, S., Raczaszek-Leonardi, J., Stjernfelt, F. & Fusaroli, R. (2018). Interaction, Cognitive Diversity and Abstraction. Poster session presented at CogSci2018: Annual Meeting of the Cognitive Science Society, Madison, United States.
Tylén, K., Trecca, F., Dideriksen, C. R., Ishkhanyan, B., Dąbrowska, E., Fusaroli, R., Højen, A., Bleses, D., Johansson, C. & Christiansen, M. H. (2019). The Puzzle of Danish. 1. Abstract from The Seventh Conference of the Scandinavian Association for Language and Cognition, SALC 7, Aarhus, Denmark.
Tylén, K., Svane Qvist, A., Foss Kjeldsen, R., Gonzalez de la Higuera Rojo, S., Heimann, K., Fay, N., Johannsen, N. N., Riede, F., Lombard, M. & Fusaroli, R. (2023). Reconstructing early human symbolic evolution using transmission experiments. In M. Goldwater, F. K. Anggoro, B. K. Hayes & D. C. Ong (Eds.), Proceedings of the 45th Annual Conference of the Cognitive Science Society https://escholarship.org/uc/item/2mh95711
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
Trecca, F., Tylén, K., Fusaroli, R., Johansson, C. & Christiansen, M. H. (2019). Top-down information is more important in noisy situations: Exploring the role of pragmatic, semantic, and syntactic information in language processing. In A. K. Goel, C. M. Seifert & C. Freksa (Eds.), Proceedings of the the 41st Annual Meeting of the Cognitive Science Society (pp. 2988-2994). Cognitive Science Society. https://doi.org/10.31234/osf.io/xp736
Tran, H. V., Zhang, Z., Pham, T. D., Doan, N. P., Hoang, A.-T., Li, P., Vandierendonck, H., Assent, I. & Mai, T. S. (2025). InteDisUX: intepretation-guided discriminative user-centric explanation for time series. Proceedings of the AAAI Conference on Artificial Intelligence, 39(20), 20921-20928. https://doi.org/10.1609/aaai.v39i20.35387
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. & 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
Tølbøll, K. B. (2019). Linguistic features in depression: a meta-analysis. Journal of Language Works - Sprogvidenskabeligt Studentertidsskrift, 4(2), 39.
Thomsen, M. R., Simonsen, K. M. (Ed.), Huang, M. P. (Ed.) & Thomsen, M. R. (Ed.) (2004). Systemic Reinventions of the Straight Story: The Novel after Its Extremes. In Reinventions of the Novel: Histories and Aesthetics of a Protean Genre (pp. 291-300). Brill | Rodopi. http://www.rodopi.nl
Thomsen, M. R., Huang, M. P., Povlsen, S. K., Simonsen, K. M. (Ed.), Huang, M. P. (Ed.) & Thomsen, M. R. (Ed.) (2004). The Novel and the Avant-Garde. In Reinventions of the Novel: Histories and Aesthetics of a Protean Genre (pp. 243-249). Brill | Rodopi.
Thomsen, M. R., Simonsen, K. M., Huang, M. P., Simonsen, K. M. (Ed.), Huang, M. P. (Ed.) & Thomsen, M. R. (Ed.) (2004). Introduction. In Reinventions of the Novel: Histories and Aesthetics of a Protean Genre (pp. 3-12). Brill | Rodopi.
Thai Son, M., Assent, I. & Storgaard, M. (2016). AnyDBC: An efficient anytime density-based clustering algorithm for very large complex datasets. In KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1025-1034). Association for Computing Machinery. https://doi.org/10.1145/2939672.2939750
Thai Son, M., Assent, I. & Le, A. T. (2016). Anytime OPTICS: An efficient approach for hierarchical density-based clustering. In S. B. Navathe, W. Wu, S. Shekhar, X. Du, X. Sean Wang & H. Xiong (Eds.), Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings (Vol. 9642, pp. 164-179). Springer VS. https://doi.org/10.1007/978-3-319-32025-0_11
Thai Son, M., Assent, I., Birk, M. S., Dieu, M. S., Jacobsen, J., Kristensen, J., Rahman, H., Thirumuruganathan, S., Das, G., Omidvar-Tehrani, B., Borromeo, R. M., Chen, L., Miller, R., Benouaret, I., Amer-Yahia, S. & Roy, S. B. (2019). An Efficient Greedy Algorithm for Sequence Recommendation. In Database and Expert Systems Applications - 30th International Conference, DEXA 2019, Proceedings (pp. 314-326) https://doi.org/10.1007/978-3-030-27615-7_24
Thai Son, M., Jacobsen, J., Amer-Yahia, S., Spence, I., Tran, P., Assent, I. & Viet Hung Nguyen, Q. (2022). Incremental Density-based Clustering on Multicore Processors. I E E E Transactions on Pattern Analysis and Machine Intelligence, 44(3), 1338-1356. https://doi.org/10.1109/TPAMI.2020.3023125