Publications

Chatzopoulos, S., Vergoulis, T., Skoutas, D., Dalamagas, T., Tryfonopoulos, C. & Karras, P. (2023). Atrapos: Real-time Evaluation of Metapath Query Workloads. In ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023 (pp. 2487-2498). Association for Computing Machinery. https://doi.org/10.1145/3543507.3583322

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

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.

Korth, J., Gandolfi, D., Šubjak, J., Howard, S., Ataiee, S., Collins, K. A., Quinn, S. N., Mustill, A. J., Guillot, T., Lodieu, N., Smith, A. M. S., Esposito, M., Rodler, F., Muresan, A., Abe, L., Albrecht, S. H., Alqasim, A., Barkaoui, K., Beck, P. G. ... Winn, J. N. (2023). TOI-1130: A photodynamical analysis of a hot Jupiter in resonance with an inner low-mass planet. Astronomy and Astrophysics, 675, Article A115. https://doi.org/10.1051/0004-6361/202244617

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

Al Farid, F., Hashim, N., Abdullah, J., Bhuiyan, M. R., Shahida Mohd Isa, W. N., Uddin, J., Haque, M. A. & Husen, M. N. (2022). A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System. Journal of Imaging, 8(6), Article 153. https://doi.org/10.3390/jimaging8060153

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

Tommasel, A., Rodriguez, J. M. & Menczer, F. (2022). Following the Trail of Fake News Spreaders in Social Media: A Deep Learning Model. In UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 29-34). Association for Computing Machinery. https://doi.org/10.1145/3511047.3536410

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

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. Paper presented at EDBT 2022: 24th International Conference on Extending Database Technology.

Tommasel, A., Rodriguez, J. M. & Godoy, D. (2022). Haven’t I just Listened to This? Exploring Diversity in Music Recommendations. In UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 35-40). Association for Computing Machinery. https://doi.org/10.1145/3511047.3536409

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

Matakos, A., Aslay, C., Galbrun, E. & Gionis, A. (2022). Maximizing the Diversity of Exposure in a Social Network. IEEE Transactions on Knowledge and Data Engineering, 34(9), 4357-4370. https://doi.org/10.1109/TKDE.2020.3038711

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://pure.itu.dk/ws/portalfiles/portal/90392646/wokrshop_social_impact.pdf

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

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

Ciaperoni, M., Aslay, C., Gionis, A. & Mathioudakis, M. (2022). Workload-Aware Materialization of Junction Trees. In Proceedings of the 25th International Conference on Extending Database Technology (pp. 65-77). Universität Konstanz. https://doi.org/10.5441/002/edbt.2022.06

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

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

Han, K., Wu, B., Tang, J., Cui, S., Aslay, C. & Lakshmanan, L. VS. (2021). Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. In Proceedings of the 2021 ACM SIGMOD International Conference on Management of Data (pp. 671-684). Association for Computing Machinery. https://doi.org/10.1145/3448016.3459243

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

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

Laoudias, C., Nikitin, A., Karras, P., Youssef, M. & Zeinalipour-Yazti, D. (2021). Indoor Quality-of-Position Visual Assessment Using Crowdsourced Fingerprint Maps. ACM Transactions on Spatial Algorithms and Systems, 7(2), Article 10. https://doi.org/10.1145/3433026

Monti, C., Manco, G., Aslay, C. & Bonchi, F. (2021). Learning Ideological Embeddings from Information Cascades. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM '21) (pp. 1325-1334). Association for Computing Machinery. https://doi.org/10.1145/3459637.3482444

Bellatreche, L., Dumas, M., Karras, P., Matulevicius, R., Awad, A., Weidlich, M., Ivanovic, M. & Hartig, O. (Eds.) (2021). New Trends in Database and Information Systems: ADBIS 2021 Short Papers, Doctoral Consortium and Workshops: DOING, SIMPDA, MADEISD, MegaData, CAoNS, Tartu, Estonia, August 24-26, 2021, Proceedings. Springer. Communications in Computer and Information Science Vol. 1450 https://doi.org/10.1007/978-3-030-85082-1

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

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

Petrescu, A., Truica, C. O., Apostol, E. S. & Karras, P. (2021). Sparse Shield: Social Network Immunization vs. Harmful Speech. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM '21) (pp. 1426-1436). Association for Computing Machinery. https://doi.org/10.1145/3459637.3482481

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. Advance online publication. https://doi.org/10.1007/s10796-020-09999-y

Nasir, M. A. U., Aslay, C., de Francisi Morales, G. & Riondato, M. (2021). TipTap: Approximate Mining of Frequent k-Subgraph Patterns in Evolving Graphs. ACM Transactions on Knowledge Discovery from Data, 15(3), 1-35. Article 48. https://doi.org/10.1145/3442590

Aslay, C., Ciaperoni, M., Gionis, A. & Mathioudakis, M. (2021). Workload-aware materialization for efficient variable elimination on Bayesian networks. In Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021 (pp. 1152-1163). Article 9458677 IEEE. https://doi.org/10.1109/ICDE51399.2021.00104

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

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

Neerbek, J., Eskildsen, M., Dolog, P. & Assent, I. (2020). A real-world data resource of complex sensitive sentences based on documents from the Monsanto trial. In N. Calzolari, F. Bechet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk & S. Piperidis (Eds.), LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings (pp. 1258-1267). European Language Resources Association.

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

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

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