Publications

Beer, A., Draganov, A., Hohma, E., Jahn, P., Frey, C. M. M. & Assent, I. (2023). Connecting the Dots: Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering. In KDD 2023 : Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 80-92). Association for Computing Machinery. https://doi.org/10.1145/3580305.3599283

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

Koutra, D., Mottin, D. & Zhu, J. (2023). Fact summarization for personalized knowledge graphs. In Personal Knowledge Graphs (PKGs): Methodology, tools and applications (pp. 239-254). Institution of Engineering and Technology. https://doi.org/10.1049/PBPC063E_ch10

Hurst, A., Lucani Rötter, D. E., Assent, I. & Zhang, Q. (2023). GLEAN: Generalized Deduplication Enabled Approximate Edge Analytics. IEEE Internet of Things Journal, 10(5), 4006-4020. https://doi.org/10.1109/JIOT.2022.3166455

Hermanns, J., Skitsas, K., Tsitsulin, A., Munkhoeva, M., Kyster, A., Nielsen, S., Bronstein, A. M., Mottin, D. & Karras, P. (2023). GRASP: Scalable Graph Alignment by Spectral Corresponding Functions. ACM Transactions on Knowledge Discovery from Data, 17(4), 1-26. Article 50. https://doi.org/10.1145/3561058

Yamasaki, S., Sasaki, Y., Karras, P. & Onizuka, M. (2023). Holistic Prediction on a Time-Evolving Attributed Graph. Proceedings of the Annual Meeting of the Association for Computational Linguistics, 61(1), 13676-13694. https://doi.org/10.18653/v1/2023.acl-long.765

Wu, S., Hou U, L. & Karras, P. (2023). k-Best Egalitarian Stable Marriages for Task Assignment. Proceedings of the VLDB Endowment, 16(11), 3240-3252. https://doi.org/10.14778/3611479.3611522

Zhong, Z. & Mottin, D. (2023). Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability. In KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5841-5842). Association for Computing Machinery. https://doi.org/10.1145/3580305.3599563

Mortensen, K. O., Zardbani, F., Haque, M. A., Agustsson, S. Y., Mottin, D., Hofmann, P. & Karras, P. (2023). Marigold: Efficient k-means Clustering in High Dimensions. Proceedings of the VLDB Endowment, 16(7), 1740-1748. https://doi.org/10.14778/3587136.3587147

Petsinis, P., Pavlogiannis, A. & Karras, P. (2023). Maximizing the Probability of Fixation in the Positional Voter Model. In B. Williams, Y. Chen & J. Neville (Eds.), AAAI-23 Technical Tracks 10 (pp. 12269-12277). Article 190493 AAAI Press. https://doi.org/10.1609/aaai.v37i10.2636126446

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., 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

Quercia, A., Morrison, A., Scharr, H. & Assent, I. (2023). SGD Biased towards Early Important Samples for Efficient Training. In G. Chen, L. Khan, X. Gao, M. Qiu, W. Pedrycz & X. Wu (Eds.), IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023 (pp. 1289-1294). IEEE. https://doi.org/10.1109/ICDM58522.2023.00163

Talavera Cepeda, I., Pauli, A. B. & Assent, I. (2023). Søren Kierkegaard at SemEval-2023 Task 4: Label-aware text classification using Natural Language Inference. In A. Kr. Ojha, A. Seza Doğruöz, G. Da San Martino, H. Tayyar Madabushi, R. Kumar & E. Sartori (Eds.), Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) (pp. 1871-1877). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.semeval-1.258

Bainson, A. B., Boyarski, A., Hermanns, J., Petsinis, P., Aavad, N., Larsen, C. D., Swayne, T., Mottin, D., Bronstein, A. M. & Karras, P. (2023). Spectral Subgraph Localization. In The Second Learning on Graphs Conference (Vol. 231, pp. 71-711) https://proceedings.mlr.press/v231/bainson24a/bainson24a.pdf

Pauli, A. B., Pablos Sarabia, R., Derczynski, L. & Assent, I. (2023). TeamAmpa at SemEval-2023 Task 3: Exploring Multilabel and Multilingual RoBERTa Models for Persuasion and Framing Detection. In A. K. Ojha, A. S. Doğruöz, G. Da San Martino, H. Tayyar Madabushi, R. Kumar & E. Sartori (Eds.), Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) (pp. 847–855). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.semeval-1.117

Moradan, A., Draganov, A., Mottin, D. & Assent, I. (2023). UCoDe: unified community detection with graph convolutional networks. Machine Learning, 112(12), 5057-5080. https://doi.org/10.1007/s10994-023-06402-0

Theocharidis, K., Terrovitis, M., Skiadopoulos, S. & Karras, P. (2022). A Content Recommendation Policy for Gaining Subscribers. In SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2501-2506). Association for Computing Machinery. https://doi.org/10.1145/3477495.3531885

Nielsen, T. D., Ladefoged, A. B., Bech-Azeddine, R., Møller, C., Jensen, T. S., Andersen, M. Ø., Karras, P. & Rasmussen, M. M. (2022). A Danish nationwide predictive model of 1-year patient satisfaction following routine surgical treatment for cervical radiculopathy; a methodological comparative study applying supervised machine learning. Brain and Spine, 2(Supplement 1), Article 100946 . https://doi.org/10.1016/j.bas.2022.100946

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

Cuzzocrea, A., Karras, P. & Vlachou, A. (2022). Effective and efficient skyline query processing over attribute-order-preserving-free encrypted data in cloud-enabled databases. Future Generation Computer Systems, 126, 237-251. https://doi.org/10.1016/j.future.2021.08.008

Brendborg, J., Karras, P., Pavlogiannis, A., Rasmussen, A. U. & Tkadlec, J. (2022). Fixation Maximization in the Positional Moran Process. Proceedings of the AAAI Conference on Artificial Intelligence, 36(9, AAAI Technical Track on Multiagent Systems), 9304-9312. https://doi.org/10.1609/aaai.v36i9.21160

Bilstrup, K. E. K., Kaspersen, M. H., Assent, I., Enni, S. & Petersen, M. G. (2022). From Demo to Design in Teaching Machine Learning. In Proceedings of the 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022 (pp. 2168-2178). Association for Computing Machinery. https://doi.org/10.1145/3531146.3534634

Nyborg, J. C., Pelletier, C. & Assent, I. (2022). Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding. In Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022 (pp. 1391-1401). IEEE. https://doi.org/10.1109/CVPRW56347.2022.00145

Draganov, A., Berry, T., Jørgensen, J. R., Nellemann, K. S., Assent, I. & Mottin, D. (2022). GiDR-DUN; Gradient Dimensionality Reduction -- Differences and Unification. https://doi.org/10.48550/arXiv.2206.09689

Jørgensen, J. R., Nellemann, K. S., Assent, I., Pathak, A. R. & Elster, A. C. (2022). GPU-FAST-PROCLUS: A Fast GPU-parallelized Approach to Projected Clustering. 196-206. Paper presented at EDBT 2022: 24th International Conference on Extending Database Technology. https://doi.org/10.48786/edbt.2022.09

Sebastian Stær Knudsen, M., Almskou Brodal, L., Peczalski, P. K., Moradan, A., Mottin, D. & Assent, I. (2022). GraB: Graph Benchmark for Heterogeneous Graph Clustering. https://openreview.net/forum?id=qsGpFRlK0a

Christiansen, M., Villadsen, L., Zhong, Z., Teso, S. & Mottin, D. (2022). How Faithful are Self-Explainable GNNs?. Paper presented at Learning on Graphs Conference 2022.

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

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

Lissandrini, M., Mottin, D., Hose, K. & Pedersen, T. B. (2022). Knowledge Graph Exploration Systems: are we lost?. Paper presented at 12th Annual Conference on
Innovative Data Systems Research (CIDR ’22), Chaminade, United States. https://dblp.org/db/conf/cidr/cidr2022.html

Pauli, A. B., Derczynski, L. & Assent, I. (2022). Modelling Persuasion through Misuse of Rhetorical Appeals. In NLP4PI 2022 - 2nd Workshop on NLP for Positive Impact, Proceedings of the Workshop (pp. 89-100). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.nlp4pi-1.11

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

Logins, A., Li, Y. & Karras, P. (2022). On the Robustness of Diffusion in a Network under Node Attacks. IEEE Transactions on Knowledge and Data Engineering, 34(12), 5884-5895. https://doi.org/10.1109/TKDE.2021.3071081

Zhong, Z., Jiang, Y. & Mottin, D. (2022). On the Robustness of Post-hoc GNN Explainers to Label Noise. Paper presented at Learning on Graphs Conference 2022.

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

Skitsas, K., Papageorgiou, I. G., Talebi, M. S., Kantere, V., Katehakis, M. N. & Karras, P. (2022). SIFTER: Space-Efficient Value Iteration for Finite-Horizon MDPs. Proceedings of the VLDB Endowment, 16(1), 90-98. https://doi.org/10.14778/3561261.3561269

Nyborg, J. C., Pelletier, C., Lefevre, S. & Assent, I. (2022). TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation. ISPRS Journal of Photogrammetry and Remote Sensing, 188, 301-313. https://doi.org/10.1016/j.isprsjprs.2022.04.018

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

Bellatreche, L., Dumas, M., Karras, P. & Matulevicius, R. (Eds.) (2021). Advances in Databases and Information Systems: 25th European Conference, ADBIS 2021, Tartu, Estonia, August 24–26, 2021, Proceedings. Springer. Lecture Notes in Computer Science (LNCS) Vol. 12843 https://doi.org/10.1007/978-3-030-82472-3

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. (pp. 36-42).

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

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

Yang, Y., Li, Y., Karras, P. & Tung, A. K. H. (2021). Context-aware Outstanding Fact Mining from Knowledge Graphs. In KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 2006-2016). Association for Computing Machinery. https://doi.org/10.1145/3447548.3467272

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

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

Saleem, M. A., Calders, T., Pedersen, T. B. & Karras, P. (2021). Finding Geo-Social Cohorts in Location-Based Social Networks. In L. H. U, M. Spaniol, Y. Sakurai & J. Chen (Eds.), Web and Big Data - 5th International Joint Conference, APWeb-WAIM 2021, Proceedings: 5th International Joint Conference, APWeb-WAIM 2021, Proceedings, Part II (pp. 368-383). Springer International Publishing. https://doi.org/10.1007/978-3-030-85899-5_27

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

Jørgensen, J. R., Nellemann, K. S. & Assent, I. (2021). GPU-INSCY: A GPU-Parallel Algorithm and Tree Structure for Efficient Density-based Subspace Clustering. 25-36. Paper presented at 24th International Conference on Extending Database Technology. https://doi.org/10.5441/002/edbt.2021.04

Displaying results 51 to 100 out of 242

Revised 01.09.2025

Sofia Hedegaard Rasmussen