Chatzopoulos, S., Vergoulis, T., Skoutas, D., Dalamagas, T., Tryfonopoulos, C.
& Karras, P. (2023).
Atrapos: Real-time Evaluation of Metapath Query Workloads. I
ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023 (s. 2487-2498). Association for Computing Machinery.
https://doi.org/10.1145/3543507.3583322
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. I R. Krestel, D. Mottin & E. Müller (red.),
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (Bind 1670, s. 1). ceur workshop proceedings.
http://ceur-ws.org/Vol-1670/paper-55.pdf
Bilstrup, K. E. K., Kaspersen, M. H., Assent, I., Enni, S. & Petersen, M. G. (2022).
From Demo to Design in Teaching Machine Learning. I
Proceedings of the 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022 (s. 2168-2178). Association for Computing Machinery.
https://doi.org/10.1145/3531146.3534634
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. I
KDD 2023 : Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (s. 80-92). Association for Computing Machinery.
https://doi.org/10.1145/3580305.3599283
Assent, I., Müller, E., Günnemann, S., Krieger, R. & Seidl, T. (2010).
Less is More: Non-Redundant Subspace Clustering. I
1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust 2010) in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA (2010)
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. I A. Hameurlain, R. Wagner, D. Benslimane, E. Damiani & W. I. Grosky (red.),
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 (Bind 11310, s. 169-199). Springer VS.
https://doi.org/10.1007/978-3-662-58415-6_6
Bellatreche, L., Dumas, M.
, Karras, P., Matulevicius, R., Awad, A., Weidlich, M., Ivanovic, M. & Hartig, O. (red.) (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 Bind 1450
https://doi.org/10.1007/978-3-030-85082-1
Assent, I., Domeniconi, C., Gullo, F., Tagarelli, A. & Zimek, A. (red.) (2013).
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering. Association for Computing Machinery.
http://dl.acm.org.ez.statsbiblioteket.dk:2048/citation.cfm?id=2501006&coll=DL&dl=ACM
Bellatreche, L., Dumas, M.
, Karras, P. & Matulevicius, R. (red.) (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) Bind 12843
https://doi.org/10.1007/978-3-030-82472-3
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), Artikel 100946 .
https://doi.org/10.1016/j.bas.2022.100946
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
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