Publications

Contribution to book anthology

Chester, S., Mortensen, M. L. & Assent, I. (2014). On the Suitability of Skyline Queries for Data Exploration. In K. S. Candan et al. (Ed.), Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference: 1st International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2014) (pp. 161-166). CEUR-WS.org. http://ceur-ws.org/Vol-1133/paper-27.pdf

Chester, S., Sidlauskas, D., Assent, I. & Bøgh, K. S. (2015). Scalable Parallelization of Skyline Computation for Multi-core Processors. In 31st IEEE International Conference on Data Engineering (ICDE 2015) (pp. 1083 - 1094). IEEE Computer Society Press. https://doi.org/10.1109/ICDE.2015.7113358

Ciaperoni, M., Gionis, A., Katsamanis, A. & Karras, P. (2022). SIEVE: A Space-Efficient Algorithm for Viterbi Decoding. In Proceedings of the 2022 International Conference on Management of Data (pp. 1136-1145). Association for Computing Machinery. https://doi.org/10.1145/3514221.3526170

Ciosici, M. R. & Assent, I. (2019). Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. In W. Ammar, A. Louis & N. Mostafazadeh (Eds.), NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session (pp. 1-5). Association for Computational Linguistics. https://aclweb.org/anthology/papers/N/N19/N19-4001/

Ciosici, M. R., Assent, I. & Derczynski, L. (2020). Accelerated High-Quality Mutual-Information Based Word Clustering. In LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings (pp. 2491-2496). European Language Resources Association. https://www.aclweb.org/anthology/2020.lrec-1.303

Ciosici, M. R., Derczynski, L. & Assent, I. (2019). Quantifying the morphosyntactic content of Brown Clusters. In J. Burstein, C. Doran & T. Solorio (Eds.), Long and Short Papers: Human Language Technologies (Vol. 1, pp. 1541-1550). Association for Computational Linguistics. https://aclweb.org/anthology/papers/N/N19/N19-1157/

Dang, X.-H., Assent, I., Ng, R. T., Zimek, A. & Schubert, E. (2014). Discriminative features for identifying and interpreting outliers. In Proceedings, 2014 IEEE 30th International Conference on Data Engineering (ICDE) (pp. 88-99). Article 6816642 IEEE Computer Society Press. https://doi.org/10.1109/ICDE.2014.6816642

Dang, X.-H., Micenková, B., Assent, I. & Ng, R. T. (2013). Local Outlier Detection with Interpretation. In H. Blockeel, K. Kersting , S. Nijssen & F. Železný (Eds.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III (pp. 304-320 ). Springer VS. https://doi.org/10.1007/978-3-642-40994-3_20

Dang, X.-H., Assent, I. & Bailey, J. (2012). Multiple Clustering Views via Constrained Projections. In E. Müller, T. Seidl & A. Zimek (Eds.), 2012 SIAM International Conference on Data Mining: 3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings (pp. 23-30). Society for Industrial and Applied Mathematics. http://siam.omnibooksonline.com/2012datamining/data/papers/WS06.pdf

Dang, X.-H., Micenková, B., Assent, I. & Ng, R. T. (2013). Outlier Detection with Space Transformation and Spectral Analysis. In C. Kamath, J. Dy, Z. Obradovic, J. Ghosh, S. Parthasarathy & Z.-H. Zhou (Eds.), Proceedings of the 2013 SIAM International Conference on Data Mining, SDM (pp. 225-233). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611972832.25

Draganov, A., Jørgensen, J., Scheel, K., Mottin, D., Assent, I., Berry, T. & Aslay, C. (2023). ActUp: Analyzing and Consolidating tSNE & UMAP. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23) (pp. 3651-3658). International Joint Conferences on Artificial Intelligence. https://www.ijcai.org/proceedings/2023/0406.pdf

Durocher, L., Karras, P., Pavlogiannis, A. & Tkadlec, J. (2022). Invasion Dynamics in the Biased Voter Process. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) (pp. 265-271). IJCAI Organization. https://doi.org/10.24963/ijcai.2022/38

Egger, M. K., Ma, W., Mottin, D., Karras, P., Bordino, I., Gullo, F. & Anagnostopoulos, A. (2024). ReliK: A Reliability Measure for Knowledge Graph Embeddings. In WWW '24 : Proceedings of the ACM Web Conference (pp. 2009-2019). Association for Computing Machinery. https://doi.org/10.1145/3589334.3645430

Enni, S. & Assent, I. (2018). Using Balancing Terms to Avoid Discrimination in Classification. In 2018 IEEE International Conference on Data Mining, ICDM 2018 (pp. 947-952). Article 8594925 IEEE Press. https://doi.org/10.1109/ICDM.2018.00116

Gkountouna, O., Doka, K., Xue, M., Cao, J. & Karras, P. (2022). One-off Disclosure Control by Heterogeneous Generalization. In 31st USENIX Security Symposium (USENIX Security 22) (pp. 3363-3377). USENIX - The Advanced Computing Systems Association. https://www.usenix.org/conference/usenixsecurity22/presentation/gkountouna

Günnemann, S., Färber, I., Müller, E., Assent, I. & Seidl, T. (2011). External Evaluation Measures for Subspace Clustering. In Proceedings of the 20th ACM international conference on Information and knowledge management (pp. 1363-1372). Association for Computing Machinery. https://doi.org/10.1145/2063576.2063774

Guo, C., Ma, M., Yang, B., Jensen, C. S. & Kaul, M. (2012). EcoMark: Evaluating Models of Vehicular Environmental Impact. In I. Cruz & C. Knoblock (Eds.), Proceedings of the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: ACM SIGSPATIAL GIS 2012 (pp. 269-278). Association for Computing Machinery. https://doi.org/10.1145/2424321.2424356

Hansen, S. M., Assent, I. & Schulz, H.-J. (2024). A Web Framework for Explainable and Malleable Visualisation. In K. Kucher, A. Diehl & C. Gillmann (Eds.), EuroVisPosters2024: Poster Proceedings of the 26th Eurographics Conference on Visualization The Eurographics Association. https://doi.org/10.2312/evp.20241080

Haxen, M., Raeburn, M., Afshani, P. & Karras, P. (2021). Centerpoint Query Authentication. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM '21) (pp. 3083-3087). Association for Computing Machinery. https://doi.org/10.1145/3459637.3482072

Hermanns, J., Tsitsulin, A., Munkhoeva, M., Bronstein, A., Mottin, D. & Karras, P. (2021). GRASP: Graph Alignment through Spectral Signatures. In L. Hou U, M. Spaniol, Y. Sakurai & J. Chen (Eds.), Web and Big Data - 5th International Joint Conference, APWeb-WAIM 2021, Proceedings (pp. 44-52). Springer. https://doi.org/10.1007/978-3-030-85896-4_4

Huang, C., Mathiasen, A., Dean, J., Mottin, D. & Assent, I. (2024). HUNIPU: Efficient Hungarian Algorithm on IPUs. In Proceedings - 2024 IEEE 40th International Conference on Data Engineering Workshops, ICDEW 2024 (pp. 388-394). IEEE. https://doi.org/10.1109/ICDEW61823.2024.00062

Huang, C., Mathiasen, A., Dean, J., Langguth, J., Mottin, D. & Assent, I. (2025). Linear Assignment on Tile-Centric Accelerators: Redesigning Hungarian Algorithm on IPUs. In SIAM Symposium on Algorithm Engineering and Experiments, ALENEX 2025 (pp. 107-119). Society for Industrial and Applied Mathematics Publications.

Hurst, A., Zhang, Q., Lucani Rötter, D. E. & Assent, I. (2021). Direct Analytics of Generalized Deduplication Compressed IoT Data. In 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685589

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). ECINN: Efficient Counterfactuals from Invertible Neural Networks. In 32nd British Machine Vision Conference 2021, BMVC 2021, Virtual https://arxiv.org/abs/2103.13701

Jensen, A. H., Lauridsen, F., Zardbani, F., Idreos, S. & Karras, P. (2021). Revisiting Multidimensional Adaptive Indexing [Experiment Analysis]. 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. 469-474). openproceedings.org. https://doi.org/10.5441/002/edbt.2021.53

Jørgensen, J. R., Assent, I. & Schulz, H.-J. (2022). AVID: GPU-enabled Visual Analytics with GPU-FAST-PROCLUS. In Proceedings of the 25th International Conference on Extending Database Technology (EDBT'22) (pp. 562-565). openproceedings.org. https://doi.org/10.48786/edbt.2022.51

Jørgensen, J. R. & Assent, I. (2023). EGG-SynC: Exact GPU-parallelized Grid-based Clustering by Synchronization. In Proceedings 26th International Conference on Extending Database Technology ( EDBT 2023 ) (pp. 195-207). openproceedings.org. https://doi.org/10.48786/edbt.2023.16

Khurana, A., Logins, A. & Karras, P. (2020). Selecting Influential Features by a Learnable Content-Aware Linear Threshold Model. In CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management (pp. 635-644). Association for Computing Machinery. https://doi.org/10.1145/3340531.3411886

Klyuchnikov, N., Mottin, D., Koutrika, G., Müller, E. & Karras, P. (2019). Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging. In KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 686-695). Association for Computing Machinery. https://doi.org/10.1145/3292500.3330893

Krieger, L., Beer, A., Matthews, P., Thiesson, A. M. & Assent, I. (2025). FAIRDEN: FAIR DENSITY-BASED CLUSTERING. In 13th International Conference on Learning Representations, ICLR 2025 (pp. 19570-19589). International Conference on Learning Representations, ICLR.

Kristensen, J., Mai, S. T., Assent, I., Jacobsen, J., Vo, B. & Le, A. (2017). Interactive exploration of subspace clusters for high dimensional data. In D. Benslimane, E. Damiani, W. I. Grosky, A. Hameurlain, A. Sheth & R. R. Wagner (Eds.), Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Proceedings (Vol. 10438 LNCS, pp. 327-342). Springer VS. https://doi.org/10.1007/978-3-319-64468-4_25

Kyster, A. F., Nielsen, S. D., Hermanns, J., Mottin, D. & Karras, P. (2021). Boosting Graph Alignment Algorithms. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM '21) (pp. 3166-3170). Association for Computing Machinery. https://doi.org/10.1145/3459637.3482067

Li, Y., Fan, J., Ovchinnikov, G. & Karras, P. (2019). Maximizing multifaceted network influence. In Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019 (pp. 446-457). Article 8731520 IEEE. https://doi.org/10.1109/ICDE.2019.00047

Lissandrini, M., Mottin, D., Palpanas, T. & Velegrakis, Y. (2019). Example-based Search: A new frontier for exploratory search. In SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1411-1412). Association for Computing Machinery. https://doi.org/10.1145/3331184.3331387

Lissandrini, M., Mottin, D., Palpanas, T. & Velegrakis, Y. (2020). Graph-Query Suggestions for Knowledge Graph Exploration. In Y. Huang, I. King, T.-Y. Liu & M. van Steen (Eds.), WWW '20: Proceedings of The Web Conference 2020 (pp. 2549-2555). Association for Computing Machinery. https://doi.org/10.1145/3366423.3380005

Lissandrini, M., Mottin, D., Velegrakis, Y. & Palpanas, T. (2018). Multi-Example Search in Rich Information Graphs. In Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018 (pp. 809-820). Article 8509299 https://hpi.de/fileadmin/user_upload/fachgebiete/mueller/publications/davide/LissandriniICDE2018Multi.pdf

Logins, A. & Karras, P. (2019). An Experimental Study on Network Immunization. In M. Herschel, H. Galhardas, B. Reinwald, I. Fundulaki, C. Binnig & Z. Kaoudi (Eds.), Advances in Database Technology - EDBT 2019: 22nd International Conference on Extending Database Technology, Proceedings (pp. 726-729). Article 391 openproceedings.org. https://openproceedings.org/2019/conf/edbt/EDBT19_paper_391.pdf

Logins, A. & Karras, P. (2019). Content-based Network Influence Probabilities: Extraction and Application. In Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019 (pp. 69-72). Article 8955604 IEEE. https://doi.org/10.1109/ICDMW.2019.00020

Logins, A., Karras, P. & Jensen, C. S. (2019). Multicapacity facility selection in networks. In Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019 (pp. 794-805). Article 8731341 IEEE. https://doi.org/10.1109/ICDE.2019.00076

Logins, A., Li, Y. & Karras, P. (2020). On the Robustness of Cascade Diffusion under Node Attacks. In The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020: Proceedings of the Web Conference 2020 (pp. 2711–2717). Association for Computing Machinery. https://doi.org/10.1145/3366423.3380028

Loster, M., Mottin, D., Papotti, P., Ehmüller, J., Feldmann, B. & Naumann, F. (2021). Few-Shot Knowledge Validation using Rules. In J. Leskovec, M. Grobelnik, M. Najork, J. Tang & L. Zia (Eds.), The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021 (pp. 3314-3324). Association for Computing Machinery. https://doi.org/10.1145/3442381.3450040

Ma, M., Yang, B. & Jensen, C. S. (2014). Enabling Time-Dependent Uncertain Eco-Weights For Road Networks. In M. A. Nascimento & M. Renz (Eds.), Proceedings of the 1st International ACM Workshop on Managing and Mining Enriched Geo-spatial Data: GeoRich 2014 Article 1 Association for Computing Machinery. https://doi.org/10.1145/2619112.2619113

Ma, W., Egger, M. K., Pavlogiannis, A., Li, Y. & Karras, P. (2024). Reachability-Aware Fair Influence Maximization. In W. Zhang, Z. Yang, X. Wang, A. Tung, Z. Zheng & H. Guo (Eds.), Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Proceedings: 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part III (pp. 342-359). BMJ, Springer Nature. https://doi.org/10.1007/978-981-97-7238-4_22

Magnani, M. & Assent, I. (2013). From stars to galaxies: skyline queries on aggregate data. In G. Guerrini & N. W. . Paton (Eds.), International Conference on Extending Database Technology (pp. 477-488 ). Association for Computing Machinery. https://doi.org/10.1145/2452376.2452432

Magnani, M., Assent, I., Hornbæk, K., Jakobsen, M. R. & Larsen, K. F. (2013). SkyView: a user evaluation of the skyline operator. In Q. He & A. Iyengar (Eds.), Proceedings of the 22nd ACM International Conference on Information & Knowledge Management, CIKM '13 (pp. 2249-2254 ). Association for Computing Machinery. https://doi.org/10.1145/2505515.2505739

Mai, S. T., Dieu, M. S., Assent, I., Jacobsen, J., Kristensen, J. & Birk, M. (2017). Scalable and interactive graph clustering algorithm on multicore CPUs. In 2017 IEEE 33rd International Conference on Data Engineering (ICDE) (pp. 349-360). IEEE Computer Society Press. https://doi.org/10.1109/ICDE.2017.94

Mathiasen, A., Hvilshøj, F., Jørgensen, J. R., Nasery, A. & Mottin, D. (2020). What if Neural Networks had SVDs? In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan & H. Lin (Eds.), Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020)

Micenková, B., Ng, R. T., Dang, X.-H. & Assent, I. (2013). Explaining outliers by subspace separability. In H. Xiong, G. Karypis, B. Thuraisingham, D. Cook & X. Wu (Eds.), Proceedings, IEEE 13th International Conference on Data Mining (ICDM 2013) (pp. 518 - 527 ). IEEE Press. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6724379

Moradan, A., Sorkhpar, M., Miyauchi, A., Mottin, D. & Assent, I. (2025). Untapping the Power of Indirect Relationships in Entity Summarization. In WSDM 2025 : Proceedings of the 18th ACM International Conference on Web Search and Data Mining (pp. 820-828). Association for Computing Machinery. https://doi.org/10.1145/3701551.3703566

Mortensen, M. L., Chester, S., Assent, I. & Magnani, M. (2015). Efficient caching for constrained skyline queries. In International Conference on Extending Database Technology (EDBT 2015) (pp. 337-348). openproceedings.org. https://doi.org/10.5441/002/edbt.2015.30

Displaying results 101 to 150 out of 233

Revised 01.09.2025

Sofia Hedegaard Rasmussen

Publications

Contribution to book anthology

Faculty