Publications

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

Preti, G., Lissandrini, M., Mottin, D. & Velegrakis, Y. (2021). Mining Patterns in Graphs with Multiple Weights. Distributed and Parallel Databases, 39(2), 281-319. https://doi.org/10.1007/s10619-019-07259-w

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

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). On Quantitative Evaluations of Counterfactuals. ArXiv. https://doi.org/10.48550/arXiv.2111.00177

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

Moradan, A., Draganov, A., Mottin, D. & Assent, I. (2021). UCoDe: Unified Community Detection with Graph Convolutional Networks. ArXiv. https://doi.org/10.48550/arXiv.2112.14822

Nyborg, J. C. & Assent, I. (2021). Weakly-Supervised Cloud Detection with Fixed-Point GANs. IEEE Transactions on Big Data, 4191-4198. https://doi.org/10.1109/BigData52589.2021.9671405

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.

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

Zhang, K., Zhou, J., Tao, D., Karras, P., Li, Q. & Xiong, H. (2020). Geodemographic Influence Maximization. In KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 2764-2774). Association for Computing Machinery. https://doi.org/10.1145/3394486.3403327

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

Assent, I., Domeniconi, C., Gionis, A. & Hüllermeier, E. (2020). Introduction to the special issue of the ECML PKDD 2020 journal track. Data Mining and Knowledge Discovery, 34(5), 1235-1236. https://doi.org/10.1007/s10618-020-00713-9

Assent, I., Domeniconi, C., Gionis, A. & Hüllermeier, E. (2020). Introduction to the special issue of the ECML PKDD 2020 journal track. Machine Learning, 109(9-10), 1697-1698. https://doi.org/10.1007/s10994-020-05907-2

Lissandrini, M., Pedersen, T. B., Hose, K. & Mottin, D. (2020). Knowledge Graph Exploration: Where Are We and Where Are We Going? S I G W E B Newsletter, (Summer), Article 4. https://doi.org/10.1145/3409481.3409485

Andersen, J. B., Bertelsen, M. B., Schou, M. H., Ciosici, M. R. & Assent, I. (2020). One of these words is not like the other: a reproduction of outlier identification using non-contextual word representations. In Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.eval4nlp-1.12/

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

Zardbani, F., Afshani, P. & Karras, P. (2020). Revisiting the theory and practice of database cracking. In A. Bonifati, Y. Zhou, M. A. Vaz Salles, A. Bohm, D. Olteanu, G. Fletcher, A. Khan & B. Yang (Eds.), Advances in Database Technology - EDBT 2020: 23rd International Conference on Extending Database Technology, Proceedings (pp. 415-418). openproceedings.org. https://doi.org/10.5441/002/edbt.2020.46

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

Tsitsulin, A., Munkhoeva, M., Mottin, D., Karras, P., Bronstein, A., Oseledets, I. & Müller, E. (2020). The Shape of Data: Intrinsic Distance for Data Distributions. Paper presented at The International Conference on Learning Representations (ICLR), Ababa, Ethiopia.

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) (Vol. 2020-December)

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/

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

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://doi.org/10.5441/002/edbt.2019.97

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

Tziavelis, N., Giannakopoulos, I., Doka, K., Koziris, N. & Karras, P. (2019). Equitable Stable Matchings in Quadratic Time. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox & R. Garnett (Eds.), Advances in Neural Information Processing Systems 32 (NIPS 2019): Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019 (Vol. 32, pp. 455-465). Curran Associates, Inc.. https://papers.nips.cc/paper/8337-equitable-stable-matchings-in-quadratic-time

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

Mottin, D., Lissandrini, M., Velegrakis, Y. & Palpanas, T. (2019). Exploring the Data Wilderness through Examples. In SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data (pp. 2031-2035). Association for Computing Machinery. https://doi.org/10.1145/3299869.3314031

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

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

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

Safavi, T., Belth, C., Faber, L., Mottin, D., Müller, E. & Koutra, D. (2019). Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. 528-537. Paper presented at IEEE International Conference on Data Mining, Beijing, China. https://doi.org/10.1109/ICDM.2019.00063

Bouros, P., Assent, I., Jeppesen, J. H. & Toftegaard, T. S. (2019). Processing satellite imagery for decision-making in precision agriculture. In P. Papotti (Ed.), Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference (EDBT/ICDT 2019) Sun Site Central Europe. https://bigvis.imsi.athenarc.gr/bigvis2019/papers/BigVis_2019_paper_4.pdf

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/

Son, M. T., Amer-Yahia, S., Assent, I., Birk, M., Storgaard Dieu, M., Jacobsen, J. & Kristensen, J. (2019). Scalable Interactive Dynamic Graph Clustering on Multicore CPUs. IEEE Transactions on Knowledge and Data Engineering, 31(7), 1239-1252. Article 8340880. https://doi.org/10.1109/TKDE.2018.2828086

Neerbek, J., Dolog, P. & Assent, I. (2019). Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings. In Q. Yang, M.-L. Zhang, Z. Gong, S.-J. Huang & Z.-H. Zhou (Eds.), Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Proceedings: PAKDD '19 (pp. 40-53). Springer. https://doi.org/10.1007/978-3-030-16142-2_4

Tsitsulin, A., Mottin, D., Karras, P., Bronstein, A. & Müller, E. (2019). Spectral graph complexity. In L. Liu & R. White (Eds.), The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019 (pp. 308-309). Association for Computing Machinery. https://doi.org/10.1145/3308560.3316589

Shao, J., Tan, Y., Gao, L., Yang, Q., Plant, C. & Assent, I. (2019). Synchronization-based clustering on evolving data stream. Information Sciences, 501, 573-587. https://doi.org/10.1016/j.ins.2018.09.035

Ciosici, M. R. & Assent, I. (2018). Abbreviation Expander: A web-based system for easy reading of technical documents. 1-4. Paper presented at CoLing 2018, Santa Fe, United States. http://www.aclweb.org/anthology/C18-2001

Mai, S. T., Assent, I., Jacobsen, J. & Dieu, M. S. (2018). Anytime parallel density-based clustering. Data Mining and Knowledge Discovery, 32(4), 1121-1176. https://doi.org/10.1007/s10618-018-0562-1

Preti, G., Lissandrini, M., Mottin, D. & Velegrakis, Y. (2018). Beyond Frequencies: Graph Pattern Mining in Multi-weighted Graphs. In Advances in Database Technology - EDBT 2018: 21st International Conference on Extending Database Technology, Proceedings (pp. 169-180). openproceedings.org. https://doi.org/10.5441/002/edbt.2018.16

Lissandrini, M., Mottin, D., Palpanas, T. & Velegrakis, Y. (2018). Data Exploration using Example-based Methods. Morgan & Claypool Publishers. Synthesis Lectures on Data Management https://doi.org/10.2200/S00881ED1V01Y201810DTM053

Neerbek, J., Assent, I. & Dolog, P. (2018). Detecting Complex Sensitive Information via Phrase Structure in Recursive Neural Networks. In D. Phung, V. S. Tseng, G. I. Webb, B. Ho, M. Ganji & L. Rashidi (Eds.), Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Proceedings: PAKDD '18 (Vol. 10939, pp. 373-385). Springer VS. https://doi.org/10.1007/978-3-319-93040-4_30

Pham, T. H., Kristensen, J., Mai, S. T., Assent, I., Jacobsen, J., Vo, B. & Le, A. (2018). Interactive Exploration of Subspace Clusters on Multicore Processors. In A. Hameurlain, R. Wagner, D. Benslimane, E. Damiani & W. I. Grosky (Eds.), Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX - Special Issue on Database- and Expert-Systems Applications: Special Issue on Database- and Expert-Systems Applications (Vol. 11310, pp. 169-199). Springer VS. https://doi.org/10.1007/978-3-662-58415-6_6

Behrens, F., Bischoff, S., Ladenburger, P., Rückin, J., Seidel, L., Stolp, F., Vaichenker, M., Ziegler, A., Mottin, D., Aghaei, F., Müller, E., Preusse, M., Müller, N. & Hunger, M. (2018). MetaExp: Interactive Explanation and Exploration of Large Knowledge Graphs. The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018, 199-202. https://doi.org/10.1145/3184558.3186978

Displaying results 101 to 150 out of 242

Revised 01.09.2025

Sofia Hedegaard Rasmussen