Publications

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

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. ACM International Conference Proceeding Series https://doi.org/10.1145/3531146.3534634

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.

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

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

Pauli, A. B., Derczynski, L. & Assent, I. (2022). Modelling Persuasion through Misuse of Rhetorical Appeals. In Second Workshop on NLP for Positive Impact - Proceedings of the Workshop (NLP4PI 2022) (pp. 89-100). Association for Computational Linguistics. https://pure.itu.dk/ws/portalfiles/portal/90392646/wokrshop_social_impact.pdf

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

Hurst, A., Zhang, Q., Lucani Rötter, D. E. & Assent, I. (2021). Direct Analytics of Generalized Deduplication Compressed IoT Data. In IEEE Global Communications Conference (GLOBECOM) IEEE. IEEE Global Communications Conference (GLOBECOM) 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

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

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

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.

Ciosici, M. R., Assent, I. & Derczynski, L. (2020). Accelerated High-Quality Mutual-Information Based Word Clustering. In Proceedings of The 12th Language Resources and Evaluation Conference (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). [9260103] IEEE. https://doi.org/10.1109/DSAA49011.2020.00023

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

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/

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.), Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations) 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 DEXA 2019: International Conference on Database and Expert Systems Applications, Aug 2019, Linz, Austria (pp. 314-326) https://doi.org/10.1007/978-3-030-27615-7_24

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.), Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: 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. [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

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

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: PAKDD '18 (Vol. 10939, pp. 373-385). Springer VS. Lecture Notes in Computer Science (LNCS) No. 10939 https://doi.org/10.1007/978-3-319-93040-4_30

Chung, Y., Mortensen, M. L., Binnig, C. & Kraska, T. (2018). Estimating the impact of unknown unknowns on aggregate qery results. ACM Transactions on Database Systems, 43(1), [3]. https://doi.org/10.1145/3167970

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 (Vol. 11310, pp. 169-199). Springer VS. Lecture Notes in Computer Science (LNCS) Vol. 11310 https://doi.org/10.1007/978-3-662-58415-6_6

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

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. Lecture Notes in Computer Science Vol. 10438 https://doi.org/10.1007/978-3-319-64468-4_25

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. Proceedings of the International Conference on Data Engineering https://doi.org/10.1109/ICDE.2017.94

Neerbek, J., Assent, I. & Dolog, P. (2017). TABOO: Detecting unstructured sensitive information using recursive neural networks. In Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017 (pp. 1399-1400). [7930091] IEEE Computer Society Press. Proceedings of the International Conference on Data Engineering Vol. 33 https://doi.org/10.1109/ICDE.2017.195

Bøgh, K. S., Chester, S., Sidlauskas, D. & Assent, I. (2017). Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures. In Proceedings of the 2017 International Conference on Management of Data, (ACM SIGMOD) (pp. 447-462). Association for Computing Machinery. https://doi.org/10.1145/3035918.3035962

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. Lecture Notes in Computer Science (LNCS) Vol. 9642 https://doi.org/10.1007/978-3-319-32025-0_11

Mortensen, M. L. (2016). Multi-Criteria Decision Support Queries in Exploratory & Open World Settings.

Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B., Micenkova, B., Schubert, E., Assent, I. & Houle, M. E. (2016). On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued. In R. Krestel, D. Mottin & E. Müller (Eds.), Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (Vol. 1670, pp. 1). ceur workshop proceedings. CEUR Workshop Proceedings Vol. 1670 http://ceur-ws.org/Vol-1670/paper-55.pdf

Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B., Micenková, B., Schubert, E., Assent, I. & Houle, M. E. (2016). On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Mining and Knowledge Discovery, 30(4), 891-927. https://doi.org/10.1007/s10618-015-0444-8

Bøgh, K. S., Chester, S. & Assent, I. (2016). SkyAlign: a portable, work-efficient skyline algorithm for multicore and GPU architectures. The VLDB Journal, 25(6), 817-841. https://doi.org/10.1007/s00778-016-0438-1

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

Ma, M. Y. (2015). Enabling Time-Dependent Uncertain Edge Weights and Stochastic Routing in Road Networks. Department of Computer Science, Aarhus University.

Chester, S. & Assent, I. (2015). Explanations for Skyline Query Results. In International Conference on Extending Database Technology (EDBT 2015) (pp. 349-360). openproceedings.org. https://doi.org/10.5441/002/edbt.2015.31

Müller, E., Assent, I., Günnemann, S., Seidl, T. & Dy, J. (2015). MultiClust special issue on discovering, summarizing and using multiple clusterings. Machine Learning, 98(1-2), 1-5. https://doi.org/10.1007/s10994-014-5445-0

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

Yang, B., Guo, C., Ma, Y. & Jensen, C. S. (2015). Toward personalized, context-aware routing. V L D B Journal, 24(2), 297-318. https://doi.org/10.1007/s00778-015-0378-1

Bøgh, K. S., Chester, S. & Assent, I. (2015). Work-Efficient Parallel Skyline Computation for the GPU. Proceedings of the VLDB Endowment, 8(9), 962-973. https://doi.org/10.14778/2777598.2777605

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). [6816642] IEEE Computer Society Press. https://doi.org/10.1109/ICDE.2014.6816642

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 [1] Association for Computing Machinery. https://doi.org/10.1145/2619112.2619113

Zimek, A., Assent, I. & Vreeken , J. (2014). Frequent Pattern Mining Algorithms for Data Clustering. In C. C. Aggarwal & J. Han (Eds.), Frequent Pattern Mining (pp. 403-423). Springer. https://doi.org/10.1007/978-3-319-07821-2_16

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